---
OA_place: publisher
OA_type: hybrid
_id: '21379'
abstract:
- lang: eng
  text: We study a (1 + 1)-dimensional semi-discrete random variational problem that
    can be interpreted as the geometrically linearized version of the critical 2-dimensional
    random field Ising model. The scaling of the correlation length of the latter
    was recently characterized in Probab. Duke Math. J. 172(9), 1781–1811 (2023) and
    arXiv:2011.08768v3, (2022); our analysis is reminiscent of the multi-scale approach
    of the latter work and of Combinatorica 9, 161–187 (1989) . We show that at every
    dyadic scale from the system size down to the lattice spacing the minimizer contains
    at most order-one Dirichlet energy per unit length. We also establish a quenched
    homogenization result in the sense that the leading order of the minimal energy
    becomes deterministic as the ratio system size / lattice spacing diverges. To
    this purpose we adapt arguments from arXiv:2401.06768, (2024) on the (d + 1)-dimensional
    version our the model, with a Brownian replacing the white noise potential, to
    obtain the initial large-scale bounds. Based on our estimate of the (p = 3)-Dirichlet
    energy, we give an informal justification of the geometric linearization. Our
    bounds, which are oblivious to the microscopic cut-off scale provided by the lattice
    spacing, yield tightness of the law of minimizers in the space of continuous functions
    as the lattice spacing is sent to zero.
acknowledgement: FO and CW thank Ron Peled for insightful discussions on the white-noise
  multi-dimensional case in the Fall of 2023. CW thanks Barbara Dembin for the discussion
  during a workshop in Spring 2025. The work was done while the authors were affiliated
  with the Max Planck Institute for Mathematics in the Sciences; CW thanks the MPI
  for the support and warm hospitality. Open access funding provided by Institute
  of Science and Technology (IST Austria).
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Felix
  full_name: Otto, Felix
  last_name: Otto
- first_name: Matteo
  full_name: Palmieri, Matteo
  last_name: Palmieri
- first_name: Christian
  full_name: Wagner, Christian
  id: bf0c729b-2619-11f0-8024-9d69bb2b8b20
  last_name: Wagner
citation:
  ama: Otto F, Palmieri M, Wagner C. On minimizing curves in a Brownian potential.
    <i>Probability Theory and Related Fields</i>. 2026. doi:<a href="https://doi.org/10.1007/s00440-026-01468-y">10.1007/s00440-026-01468-y</a>
  apa: Otto, F., Palmieri, M., &#38; Wagner, C. (2026). On minimizing curves in a
    Brownian potential. <i>Probability Theory and Related Fields</i>. Springer Nature.
    <a href="https://doi.org/10.1007/s00440-026-01468-y">https://doi.org/10.1007/s00440-026-01468-y</a>
  chicago: Otto, Felix, Matteo Palmieri, and Christian Wagner. “On Minimizing Curves
    in a Brownian Potential.” <i>Probability Theory and Related Fields</i>. Springer
    Nature, 2026. <a href="https://doi.org/10.1007/s00440-026-01468-y">https://doi.org/10.1007/s00440-026-01468-y</a>.
  ieee: F. Otto, M. Palmieri, and C. Wagner, “On minimizing curves in a Brownian potential,”
    <i>Probability Theory and Related Fields</i>. Springer Nature, 2026.
  ista: Otto F, Palmieri M, Wagner C. 2026. On minimizing curves in a Brownian potential.
    Probability Theory and Related Fields.
  mla: Otto, Felix, et al. “On Minimizing Curves in a Brownian Potential.” <i>Probability
    Theory and Related Fields</i>, Springer Nature, 2026, doi:<a href="https://doi.org/10.1007/s00440-026-01468-y">10.1007/s00440-026-01468-y</a>.
  short: F. Otto, M. Palmieri, C. Wagner, Probability Theory and Related Fields (2026).
corr_author: '1'
date_created: 2026-03-02T10:05:23Z
date_published: 2026-02-14T00:00:00Z
date_updated: 2026-03-02T15:15:13Z
day: '14'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1007/s00440-026-01468-y
fulldoi: https://doi.org/10.1007/s00440-026-01468-y
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1007/s00440-026-01468-y
month: '02'
oa: 1
oa_version: Published Version
publication: Probability Theory and Related Fields
publication_identifier:
  eissn:
  - 1432-2064
  issn:
  - 0178-8051
publication_status: epub_ahead
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: On minimizing curves in a Brownian potential
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2026'
...
---
APC_amount: 1352,08 EUR
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '21894'
abstract:
- lang: eng
  text: "The Dean–Kawasaki equation—one of the most fundamental SPDEs of\r\nfluctuating
    hydrodynamics—has been proposed as a model for density fluctuations in weakly
    interacting particle systems. In its original form, it is highly\r\nsingular and
    fails to be renormalizable, even by approaches such as regularity structures and
    paracontrolled distributions, hindering mathematical approaches to its rigorous
    justification. It has been understood recently that it is\r\nnatural to introduce
    a suitable regularization, for example, by applying a formal spatial discretization
    or by truncating high-frequency noise: This yields\r\nwell-posed equations that
    should still precisely approximate the law of the\r\nparticle density fluctuations.\r\nIn
    the present work, we prove that a regularization in the form of a formal\r\ndiscretization
    of the Dean–Kawasaki equation indeed accurately describes\r\ndensity fluctuations
    in systems of weakly interacting diffusing particles: We\r\nshow that, in suitable
    weak metrics, the law of fluctuations as predicted by\r\nthe discretized Dean–Kawasaki
    SPDE approximates the law of fluctuations\r\nof the original particle system,
    up to an error that is of arbitrarily high order in\r\nthe inverse particle number
    and a discretization error. In particular, the Dean–\r\nKawasaki equation provides
    a means for efficient and accurate simulations of\r\ndensity fluctuations in weakly
    interacting particle systems."
acknowledgement: All authors gratefully acknowledge funding from the Austrian Science
  Fund (FWF) through the project F65. CR gratefully acknowledges support from the
  Austrian Science Fund (FWF), grants P30000, P33010, W1245. FC gratefully acknowledges
  funding from the European Union’s Horizon 2020 research and innovation programme
  under the Marie Skłodowska-Curie grant agreement No. 754411.
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Federico
  full_name: Cornalba, Federico
  last_name: Cornalba
- first_name: Julian L
  full_name: Fischer, Julian L
  id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87
  last_name: Fischer
  orcid: 0000-0002-0479-558X
- first_name: Jonas
  full_name: Ingmanns, Jonas
  id: 71523d30-15b2-11ec-abd3-f80aa909d6b0
  last_name: Ingmanns
  orcid: 0009-0008-1310-7946
- first_name: Claudia
  full_name: Raithel, Claudia
  last_name: Raithel
citation:
  ama: Cornalba F, Fischer JL, Ingmanns J, Raithel C. Density fluctuations in weakly
    interacting particle systems via the Dean–Kawasaki equation. <i>The Annals of
    Probability</i>. 2026;54(1):155-215. doi:<a href="https://doi.org/10.1214/25-aop1763">10.1214/25-aop1763</a>
  apa: Cornalba, F., Fischer, J. L., Ingmanns, J., &#38; Raithel, C. (2026). Density
    fluctuations in weakly interacting particle systems via the Dean–Kawasaki equation.
    <i>The Annals of Probability</i>. Institute of Mathematical Statistics. <a href="https://doi.org/10.1214/25-aop1763">https://doi.org/10.1214/25-aop1763</a>
  chicago: Cornalba, Federico, Julian L Fischer, Jonas Ingmanns, and Claudia Raithel.
    “Density Fluctuations in Weakly Interacting Particle Systems via the Dean–Kawasaki
    Equation.” <i>The Annals of Probability</i>. Institute of Mathematical Statistics,
    2026. <a href="https://doi.org/10.1214/25-aop1763">https://doi.org/10.1214/25-aop1763</a>.
  ieee: F. Cornalba, J. L. Fischer, J. Ingmanns, and C. Raithel, “Density fluctuations
    in weakly interacting particle systems via the Dean–Kawasaki equation,” <i>The
    Annals of Probability</i>, vol. 54, no. 1. Institute of Mathematical Statistics,
    pp. 155–215, 2026.
  ista: Cornalba F, Fischer JL, Ingmanns J, Raithel C. 2026. Density fluctuations
    in weakly interacting particle systems via the Dean–Kawasaki equation. The Annals
    of Probability. 54(1), 155–215.
  mla: Cornalba, Federico, et al. “Density Fluctuations in Weakly Interacting Particle
    Systems via the Dean–Kawasaki Equation.” <i>The Annals of Probability</i>, vol.
    54, no. 1, Institute of Mathematical Statistics, 2026, pp. 155–215, doi:<a href="https://doi.org/10.1214/25-aop1763">10.1214/25-aop1763</a>.
  short: F. Cornalba, J.L. Fischer, J. Ingmanns, C. Raithel, The Annals of Probability
    54 (2026) 155–215.
corr_author: '1'
date_created: 2026-05-20T08:25:25Z
date_published: 2026-01-01T00:00:00Z
date_updated: 2026-05-21T07:21:25Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1214/25-aop1763
ec_funded: 1
external_id:
  arxiv:
  - '2303.00429'
file:
- access_level: open_access
  checksum: 3e60c0e25a1c96342029a7d2b031505f
  content_type: application/pdf
  creator: dernst
  date_created: 2026-05-21T07:11:27Z
  date_updated: 2026-05-21T07:11:27Z
  file_id: '21906'
  file_name: 2026_AnnalsProbability_Cornalba.pdf
  file_size: 865745
  relation: main_file
  success: 1
file_date_updated: 2026-05-21T07:11:27Z
fulldoi: https://doi.org/10.1214/25-aop1763
has_accepted_license: '1'
intvolume: '        54'
issue: '1'
keyword:
- Weakly interacting particle systems
- fluctuating hydrodynamics
- Dean-Kawasaki equation
- stochastic PDEs
- numerical approximation
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 155-215
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2
  grant_number: F6504
  name: Taming Complexity in Partial Differential Systems
publication: The Annals of Probability
publication_identifier:
  eissn:
  - 2168-894X
  issn:
  - 0091-1798
publication_status: published
publisher: Institute of Mathematical Statistics
quality_controlled: '1'
scopus_import: '1'
status: public
title: Density fluctuations in weakly interacting particle systems via the Dean–Kawasaki
  equation
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 54
year: '2026'
...
---
OA_place: repository
OA_type: green
_id: '22718'
abstract:
- lang: eng
  text: Both Newtonian and non-Newtonian fluids may exhibit complex slip behaviour
    at the boundary. We examine a broad class of slip boundary conditions that generalises
    the commonly used Navier slip, perfect slip, stick-slip and Tresca friction boundary
    conditions. In particular, set-valued, nonmonotone, noncoercive and dynamic relations
    may occur. For a unifying framework of such relations, we present a fully discrete
    numerical scheme for the time-dependent Navier–Stokes equations subject to impermeability
    and general slip-type boundary conditions on polyhedral domains. Based on compactness
    arguments, we prove convergence of subsequences, finally ensuring the existence
    of a weak solution. The numerical scheme uses a general inf-sup stable pair of
    finite element spaces for the velocity and pressure, a regularisation approach
    for the implicit slip boundary condition and, most importantly, a general Nitsche
    method to impose the impermeability and a backward Euler time stepping. One of
    the key tools in the convergence proof is an inhomogeneous Korn inequality that
    includes a normal trace term.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Pablo Alexei
  full_name: Gazca-Orozco, Pablo Alexei
  last_name: Gazca-Orozco
- first_name: Franz
  full_name: Gmeineder, Franz
  last_name: Gmeineder
- first_name: Erika
  full_name: Maringová, Erika
  id: dbabca31-66eb-11eb-963a-fb9c22c880b4
  last_name: Maringová
- first_name: Tabea
  full_name: Tscherpel, Tabea
  last_name: Tscherpel
citation:
  ama: Gazca-Orozco PA, Gmeineder F, Maringová E, Tscherpel T. A Nitsche method for
    incompressible fluids with general dynamic boundary conditions. <i>Mathematical
    Models and Methods in Applied Sciences</i>. 2026. doi:<a href="https://doi.org/10.1142/S0218202526500508">10.1142/S0218202526500508</a>
  apa: Gazca-Orozco, P. A., Gmeineder, F., Maringová, E., &#38; Tscherpel, T. (2026).
    A Nitsche method for incompressible fluids with general dynamic boundary conditions.
    <i>Mathematical Models and Methods in Applied Sciences</i>. World Scientific Publishing.
    <a href="https://doi.org/10.1142/S0218202526500508">https://doi.org/10.1142/S0218202526500508</a>
  chicago: Gazca-Orozco, Pablo Alexei, Franz Gmeineder, Erika Maringová, and Tabea
    Tscherpel. “A Nitsche Method for Incompressible Fluids with General Dynamic Boundary
    Conditions.” <i>Mathematical Models and Methods in Applied Sciences</i>. World
    Scientific Publishing, 2026. <a href="https://doi.org/10.1142/S0218202526500508">https://doi.org/10.1142/S0218202526500508</a>.
  ieee: P. A. Gazca-Orozco, F. Gmeineder, E. Maringová, and T. Tscherpel, “A Nitsche
    method for incompressible fluids with general dynamic boundary conditions,” <i>Mathematical
    Models and Methods in Applied Sciences</i>. World Scientific Publishing, 2026.
  ista: Gazca-Orozco PA, Gmeineder F, Maringová E, Tscherpel T. 2026. A Nitsche method
    for incompressible fluids with general dynamic boundary conditions. Mathematical
    Models and Methods in Applied Sciences.
  mla: Gazca-Orozco, Pablo Alexei, et al. “A Nitsche Method for Incompressible Fluids
    with General Dynamic Boundary Conditions.” <i>Mathematical Models and Methods
    in Applied Sciences</i>, World Scientific Publishing, 2026, doi:<a href="https://doi.org/10.1142/S0218202526500508">10.1142/S0218202526500508</a>.
  short: P.A. Gazca-Orozco, F. Gmeineder, E. Maringová, T. Tscherpel, Mathematical
    Models and Methods in Applied Sciences (2026).
date_created: 2026-08-16T22:01:44Z
date_published: 2026-08-04T00:00:00Z
date_updated: 2026-08-18T07:51:59Z
day: '04'
department:
- _id: JuFi
doi: 10.1142/S0218202526500508
external_id:
  arxiv:
  - '2502.09550'
fulldoi: https://doi.org/10.1142/S0218202526500508
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2502.09550
mathsc:
- 65N30
- 76D07
- 76M10
month: '08'
oa: 1
oa_version: Preprint
publication: Mathematical Models and Methods in Applied Sciences
publication_identifier:
  eissn:
  - 1793-6314
  issn:
  - 0218-2025
publication_status: epub_ahead
publisher: World Scientific Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: A Nitsche method for incompressible fluids with general dynamic boundary conditions
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2026'
...
---
OA_place: publisher
OA_type: hybrid
_id: '19027'
abstract:
- lang: eng
  text: 'Stochastic PDEs of fluctuating hydrodynamics are a powerful tool for the
    description of fluctuations in many-particle systems. In this paper, we develop
    and analyze a multilevel Monte Carlo (MLMC) scheme for the Dean–Kawasaki equation,
    a pivotal representative of this class of SPDEs. We prove analytically and demonstrate
    numerically that our MLMC scheme provides a significant reduction in computational
    cost (with respect to a standard Monte Carlo method) in the simulation of the
    Dean–Kawasaki equation. Specifically, we link this reduction in cost to having
    a sufficiently large average particle density and show that sizeable cost reductions
    can be obtained even when we have solutions with regions of low density. Numerical
    simulations are provided in the two-dimensional case, confirming our theoretical
    predictions. Our results are formulated entirely in terms of the law of distributions
    rather than in terms of strong spatial norms: this crucially allows for MLMC speed-ups
    altogether despite the Dean–Kawasaki equation being highly singular.'
acknowledgement: The work of the authors was supported by the Austrian Science Fund
  (FWF) projectF65.
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Federico
  full_name: Cornalba, Federico
  id: 2CEB641C-A400-11E9-A717-D712E6697425
  last_name: Cornalba
  orcid: 0000-0002-6269-5149
- first_name: Julian L
  full_name: Fischer, Julian L
  id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87
  last_name: Fischer
  orcid: 0000-0002-0479-558X
citation:
  ama: Cornalba F, Fischer JL. Multilevel Monte Carlo methods for the Dean–Kawasaki
    equation from fluctuating hydrodynamics. <i>SIAM Journal on Numerical Analysis</i>.
    2025;63(1):262-287. doi:<a href="https://doi.org/10.1137/23M1617345">10.1137/23M1617345</a>
  apa: Cornalba, F., &#38; Fischer, J. L. (2025). Multilevel Monte Carlo methods for
    the Dean–Kawasaki equation from fluctuating hydrodynamics. <i>SIAM Journal on
    Numerical Analysis</i>. Society for Industrial and Applied Mathematics. <a href="https://doi.org/10.1137/23M1617345">https://doi.org/10.1137/23M1617345</a>
  chicago: Cornalba, Federico, and Julian L Fischer. “Multilevel Monte Carlo Methods
    for the Dean–Kawasaki Equation from Fluctuating Hydrodynamics.” <i>SIAM Journal
    on Numerical Analysis</i>. Society for Industrial and Applied Mathematics, 2025.
    <a href="https://doi.org/10.1137/23M1617345">https://doi.org/10.1137/23M1617345</a>.
  ieee: F. Cornalba and J. L. Fischer, “Multilevel Monte Carlo methods for the Dean–Kawasaki
    equation from fluctuating hydrodynamics,” <i>SIAM Journal on Numerical Analysis</i>,
    vol. 63, no. 1. Society for Industrial and Applied Mathematics, pp. 262–287, 2025.
  ista: Cornalba F, Fischer JL. 2025. Multilevel Monte Carlo methods for the Dean–Kawasaki
    equation from fluctuating hydrodynamics. SIAM Journal on Numerical Analysis. 63(1),
    262–287.
  mla: Cornalba, Federico, and Julian L. Fischer. “Multilevel Monte Carlo Methods
    for the Dean–Kawasaki Equation from Fluctuating Hydrodynamics.” <i>SIAM Journal
    on Numerical Analysis</i>, vol. 63, no. 1, Society for Industrial and Applied
    Mathematics, 2025, pp. 262–87, doi:<a href="https://doi.org/10.1137/23M1617345">10.1137/23M1617345</a>.
  short: F. Cornalba, J.L. Fischer, SIAM Journal on Numerical Analysis 63 (2025) 262–287.
corr_author: '1'
date_created: 2025-02-16T23:02:34Z
date_published: 2025-02-01T00:00:00Z
date_updated: 2025-09-30T10:30:31Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1137/23M1617345
external_id:
  arxiv:
  - '2311.08872'
  isi:
  - '001447583400011'
file:
- access_level: open_access
  checksum: 53505647e848ed50f7e0d00c369b14e7
  content_type: application/pdf
  creator: dernst
  date_created: 2025-02-17T08:32:23Z
  date_updated: 2025-02-17T08:32:23Z
  file_id: '19029'
  file_name: 2025_SIAMNumerAnaly_Cornalba.pdf
  file_size: 2435019
  relation: main_file
  success: 1
file_date_updated: 2025-02-17T08:32:23Z
fulldoi: https://doi.org/10.1137/23M1617345
has_accepted_license: '1'
intvolume: '        63'
isi: 1
issue: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: 262-287
project:
- _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2
  grant_number: F6504
  name: Taming Complexity in Partial Differential Systems
publication: SIAM Journal on Numerical Analysis
publication_identifier:
  eissn:
  - 1095-7170
  issn:
  - 0036-1429
publication_status: published
publisher: Society for Industrial and Applied Mathematics
quality_controlled: '1'
scopus_import: '1'
status: public
title: Multilevel Monte Carlo methods for the Dean–Kawasaki equation from fluctuating
  hydrodynamics
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 63
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19505'
abstract:
- lang: eng
  text: In this paper, we introduce and study the primitive equations with non-isothermal
    turbulent pressure and transport noise. They are derived from the Navier–Stokes
    equations by employing stochastic versions of the Boussinesq and the hydrostatic
    approximations. The temperature dependence of the turbulent pressure can be seen
    as a consequence of an additive noise acting on the small vertical dynamics. For
    such a model we prove global well-posedness in H^1 where the noise is considered
    in both the Itô and Stratonovich formulations. Compared to previous variants of
    the primitive equations, the one considered here presents a more intricate coupling
    between the velocity field and the temperature. The corresponding analysis is
    seriously more involved than in the deterministic setting. Finally, the continuous
    dependence on the initial data and the energy estimates proven here are new, even
    in the case of isothermal turbulent pressure.
acknowledgement: "The first author thanks Umberto Pappalettera for helpful suggestions
  on Section 2 and for bringing to his attention the reference [56]. The first author
  is grateful to Marco Romito for helpful comments related to Remarks 2.1 and 2.2.
  Finally, the first author thanks Caterina Balzotti for her support in creating the
  picture.\r\nAntonio Agresti has received funding from the European Research Council
  (ERC) under the European Union’s Horizon 2020 research and innovation programme
  (grant agreement No 948819). Antonio Agresti is a member of GNAMPA (INδAM).\r\nMatthias
  Hieber gratefully acknowledges the support by the Deutsche Forschungsgemeinschaft
  (DFG) through the Research Unit 5528—project number 500072446.\r\nAmru Hussein has
  been supported by Deutsche Forschungsgemeinschaft (DFG)—project\r\nnumber 508634462
  and by MathApp—Mathematics Applied to Real-World Problems—part\r\nof the Research
  Initiative of the Federal State of Rhineland-Palatinate, Germany.\r\nMartin Saal
  has been supported by Deutsche Forschungsgemeinschaft (DFG)—project\r\nnumber 429483464."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Antonio
  full_name: Agresti, Antonio
  id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72
  last_name: Agresti
  orcid: 0000-0002-9573-2962
- first_name: Matthias
  full_name: Hieber, Matthias
  last_name: Hieber
- first_name: Amru
  full_name: Hussein, Amru
  last_name: Hussein
- first_name: Martin
  full_name: Saal, Martin
  last_name: Saal
citation:
  ama: Agresti A, Hieber M, Hussein A, Saal M. The stochastic primitive equations
    with nonisothermal turbulent pressure. <i>Annals of Applied Probability</i>. 2025;35(1):635-700.
    doi:<a href="https://doi.org/10.1214/24-AAP2124">10.1214/24-AAP2124</a>
  apa: Agresti, A., Hieber, M., Hussein, A., &#38; Saal, M. (2025). The stochastic
    primitive equations with nonisothermal turbulent pressure. <i>Annals of Applied
    Probability</i>. Institute of Mathematical Statistics. <a href="https://doi.org/10.1214/24-AAP2124">https://doi.org/10.1214/24-AAP2124</a>
  chicago: Agresti, Antonio, Matthias Hieber, Amru Hussein, and Martin Saal. “The
    Stochastic Primitive Equations with Nonisothermal Turbulent Pressure.” <i>Annals
    of Applied Probability</i>. Institute of Mathematical Statistics, 2025. <a href="https://doi.org/10.1214/24-AAP2124">https://doi.org/10.1214/24-AAP2124</a>.
  ieee: A. Agresti, M. Hieber, A. Hussein, and M. Saal, “The stochastic primitive
    equations with nonisothermal turbulent pressure,” <i>Annals of Applied Probability</i>,
    vol. 35, no. 1. Institute of Mathematical Statistics, pp. 635–700, 2025.
  ista: Agresti A, Hieber M, Hussein A, Saal M. 2025. The stochastic primitive equations
    with nonisothermal turbulent pressure. Annals of Applied Probability. 35(1), 635–700.
  mla: Agresti, Antonio, et al. “The Stochastic Primitive Equations with Nonisothermal
    Turbulent Pressure.” <i>Annals of Applied Probability</i>, vol. 35, no. 1, Institute
    of Mathematical Statistics, 2025, pp. 635–700, doi:<a href="https://doi.org/10.1214/24-AAP2124">10.1214/24-AAP2124</a>.
  short: A. Agresti, M. Hieber, A. Hussein, M. Saal, Annals of Applied Probability
    35 (2025) 635–700.
date_created: 2025-04-06T22:01:32Z
date_published: 2025-02-01T00:00:00Z
date_updated: 2025-09-30T11:23:58Z
day: '01'
department:
- _id: JuFi
doi: 10.1214/24-AAP2124
ec_funded: 1
external_id:
  arxiv:
  - '2210.05973'
  isi:
  - '001434322900016'
fulldoi: https://doi.org/10.1214/24-AAP2124
intvolume: '        35'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2210.05973
month: '02'
oa: 1
oa_version: Preprint
page: 635-700
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: Annals of Applied Probability
publication_identifier:
  issn:
  - 1050-5164
publication_status: published
publisher: Institute of Mathematical Statistics
quality_controlled: '1'
scopus_import: '1'
status: public
title: The stochastic primitive equations with nonisothermal turbulent pressure
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 35
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '19783'
abstract:
- lang: eng
  text: We consider a local Cahn–Hilliard‐type model for tumor growth as well as a
    nonlocal model where, compared to the local system, the Laplacian in the equation
    for the chemical potential is replaced by a nonlocal operator. The latter is defined
    as a convolution integral with suitable kernels parametrized by a small parameter.
    For sufficiently smooth bounded domains in three dimensions, we prove convergence
    of weak solutions of the nonlocal model toward strong solutions of the local model
    together with convergence rates with respect to the small parameter. The proof
    is done via a Gronwall‐type argument and a convergence result with rates for the
    nonlocal integral operator toward the Laplacian due to Abels and Hurm.
acknowledgement: C. Hurm was partially supported by the Graduiertenkolleg 2339 IntComSin
  of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)–Project-ID
  321821685. M. Moser has received funding from the European Research Council (ERC)
  under the European Union's Horizon 2020 research and innovation programme (grant
  agreement No 948819). The support is gratefully acknowledged. Finally, we thank
  Daniel Böhme and Jonas Stange for careful proofreading. Open Access funding enabled
  and organized by Projekt DEAL.
article_number: e70003
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Christoph
  full_name: Hurm, Christoph
  last_name: Hurm
- first_name: Maximilian
  full_name: Moser, Maximilian
  id: a60047a9-da77-11eb-85b4-c4dc385ebb8c
  last_name: Moser
citation:
  ama: Hurm C, Moser M. Nonlocal‐to‐local convergence for a Cahn–Hilliard tumor growth
    model. <i>GAMM-Mitteilungen</i>. 2025;48(2). doi:<a href="https://doi.org/10.1002/gamm.70003">10.1002/gamm.70003</a>
  apa: Hurm, C., &#38; Moser, M. (2025). Nonlocal‐to‐local convergence for a Cahn–Hilliard
    tumor growth model. <i>GAMM-Mitteilungen</i>. Wiley. <a href="https://doi.org/10.1002/gamm.70003">https://doi.org/10.1002/gamm.70003</a>
  chicago: Hurm, Christoph, and Maximilian Moser. “Nonlocal‐to‐local Convergence for
    a Cahn–Hilliard Tumor Growth Model.” <i>GAMM-Mitteilungen</i>. Wiley, 2025. <a
    href="https://doi.org/10.1002/gamm.70003">https://doi.org/10.1002/gamm.70003</a>.
  ieee: C. Hurm and M. Moser, “Nonlocal‐to‐local convergence for a Cahn–Hilliard tumor
    growth model,” <i>GAMM-Mitteilungen</i>, vol. 48, no. 2. Wiley, 2025.
  ista: Hurm C, Moser M. 2025. Nonlocal‐to‐local convergence for a Cahn–Hilliard tumor
    growth model. GAMM-Mitteilungen. 48(2), e70003.
  mla: Hurm, Christoph, and Maximilian Moser. “Nonlocal‐to‐local Convergence for a
    Cahn–Hilliard Tumor Growth Model.” <i>GAMM-Mitteilungen</i>, vol. 48, no. 2, e70003,
    Wiley, 2025, doi:<a href="https://doi.org/10.1002/gamm.70003">10.1002/gamm.70003</a>.
  short: C. Hurm, M. Moser, GAMM-Mitteilungen 48 (2025).
date_created: 2025-06-03T08:58:01Z
date_published: 2025-06-01T00:00:00Z
date_updated: 2025-06-03T09:14:17Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1002/gamm.70003
ec_funded: 1
external_id:
  arxiv:
  - '2402.13790'
file:
- access_level: open_access
  checksum: 6bac9d3e566b68519ae80ac8b0f41f20
  content_type: application/pdf
  creator: dernst
  date_created: 2025-06-03T09:12:22Z
  date_updated: 2025-06-03T09:12:22Z
  file_id: '19786'
  file_name: 2025_GAMM_Hurm.pdf
  file_size: 513741
  relation: main_file
  success: 1
file_date_updated: 2025-06-03T09:12:22Z
fulldoi: https://doi.org/10.1002/gamm.70003
has_accepted_license: '1'
intvolume: '        48'
issue: '2'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: GAMM-Mitteilungen
publication_identifier:
  eissn:
  - 1522-2608
  issn:
  - 0936-7195
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Nonlocal‐to‐local convergence for a Cahn–Hilliard tumor growth model
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 48
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '10011'
abstract:
- lang: eng
  text: We propose a new weak solution concept for (two-phase) mean curvature flow
    which enjoys both (unconditional) existence and (weak-strong) uniqueness properties.
    These solutions are evolving varifolds, just as in Brakke's formulation, but are
    coupled to the phase volumes by a simple transport equation. First, we show that,
    in the exact same setup as in Ilmanen's proof [J. Differential Geom. 38, 417-461,
    (1993)], any limit point of solutions to the Allen-Cahn equation is a varifold
    solution in our sense. Second, we prove that any calibrated flow in the sense
    of Fischer et al. [arXiv:2003.05478] - and hence any classical solution to mean
    curvature flow-is unique in the class of our new varifold solutions. This is in
    sharp contrast to the case of Brakke flows, which a priori may disappear at any
    given time and are therefore fatally non-unique. Finally, we propose an extension
    of the solution concept to the multi-phase case which is at least guaranteed to
    satisfy a weak-strong uniqueness principle.
acknowledgement: This project has received funding from the European Research Council
  (ERC) under the European Union’s Horizon 2020 research and innovation programme
  (grant agreement No 948819), and from the Deutsche Forschungsgemeinschaft (DFG,
  German Research Foundation) under Germany’s Excellence Strategy – EXC-2047/1 – 390685813.
  The content of this paper was developed and parts of it were written during a visit
  of the first author to the Hausdorff Center of Mathematics (HCM), University of
  Bonn. The hospitality and the support of HCM are gratefully acknowledged.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Sebastian
  full_name: Hensel, Sebastian
  id: 4D23B7DA-F248-11E8-B48F-1D18A9856A87
  last_name: Hensel
  orcid: 0000-0001-7252-8072
- first_name: Tim
  full_name: Laux, Tim
  last_name: Laux
citation:
  ama: 'Hensel S, Laux T. A new varifold solution concept for mean curvature flow:
    Convergence of  the Allen-Cahn equation and weak-strong uniqueness. <i>Journal
    of Differential Geometry</i>. 2025;130:209-268. doi:<a href="https://doi.org/10.4310/jdg/1747065796">10.4310/jdg/1747065796</a>'
  apa: 'Hensel, S., &#38; Laux, T. (2025). A new varifold solution concept for mean
    curvature flow: Convergence of  the Allen-Cahn equation and weak-strong uniqueness.
    <i>Journal of Differential Geometry</i>. International Press of Boston. <a href="https://doi.org/10.4310/jdg/1747065796">https://doi.org/10.4310/jdg/1747065796</a>'
  chicago: 'Hensel, Sebastian, and Tim Laux. “A New Varifold Solution Concept for
    Mean Curvature Flow: Convergence of  the Allen-Cahn Equation and Weak-Strong Uniqueness.”
    <i>Journal of Differential Geometry</i>. International Press of Boston, 2025.
    <a href="https://doi.org/10.4310/jdg/1747065796">https://doi.org/10.4310/jdg/1747065796</a>.'
  ieee: 'S. Hensel and T. Laux, “A new varifold solution concept for mean curvature
    flow: Convergence of  the Allen-Cahn equation and weak-strong uniqueness,” <i>Journal
    of Differential Geometry</i>, vol. 130. International Press of Boston, pp. 209–268,
    2025.'
  ista: 'Hensel S, Laux T. 2025. A new varifold solution concept for mean curvature
    flow: Convergence of  the Allen-Cahn equation and weak-strong uniqueness. Journal
    of Differential Geometry. 130, 209–268.'
  mla: 'Hensel, Sebastian, and Tim Laux. “A New Varifold Solution Concept for Mean
    Curvature Flow: Convergence of  the Allen-Cahn Equation and Weak-Strong Uniqueness.”
    <i>Journal of Differential Geometry</i>, vol. 130, International Press of Boston,
    2025, pp. 209–68, doi:<a href="https://doi.org/10.4310/jdg/1747065796">10.4310/jdg/1747065796</a>.'
  short: S. Hensel, T. Laux, Journal of Differential Geometry 130 (2025) 209–268.
corr_author: '1'
das_tickbox: '1'
date_created: 2021-09-13T12:17:10Z
date_published: 2025-05-01T00:00:00Z
date_updated: 2026-07-06T13:37:21Z
day: '01'
department:
- _id: JuFi
doi: 10.4310/jdg/1747065796
ec_funded: 1
external_id:
  arxiv:
  - '2109.04233'
fulldoi: https://doi.org/10.4310/jdg/1747065796
intvolume: '       130'
keyword:
- Mean curvature flow
- gradient flows
- varifolds
- weak solutions
- weak-strong uniqueness
- calibrated geometry
- gradient-flow calibrations
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2109.04233
month: '05'
oa: 1
oa_version: Preprint
page: 209-268
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: Journal of Differential Geometry
publication_identifier:
  eissn:
  - 1945-743X
  issn:
  - 0022-040X
publication_status: published
publisher: International Press of Boston
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'A new varifold solution concept for mean curvature flow: Convergence of  the
  Allen-Cahn equation and weak-strong uniqueness'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 130
year: '2025'
...
---
_id: '14451'
abstract:
- lang: eng
  text: 'We investigate the potential of Multi-Objective, Deep Reinforcement Learning
    for stock and cryptocurrency single-asset trading: in particular, we consider
    a Multi-Objective algorithm which generalizes the reward functions and discount
    factor (i.e., these components are not specified a priori, but incorporated in
    the learning process). Firstly, using several important assets (BTCUSD, ETHUSDT,
    XRPUSDT, AAPL, SPY, NIFTY50), we verify the reward generalization property of
    the proposed Multi-Objective algorithm, and provide preliminary statistical evidence
    showing increased predictive stability over the corresponding Single-Objective
    strategy. Secondly, we show that the Multi-Objective algorithm has a clear edge
    over the corresponding Single-Objective strategy when the reward mechanism is
    sparse (i.e., when non-null feedback is infrequent over time). Finally, we discuss
    the generalization properties with respect to the discount factor. The entirety
    of our code is provided in open-source format.'
acknowledgement: Open access funding provided by Università degli Studi di Trieste
  within the CRUI-CARE Agreement. Funding was provided by Austrian Science Fund (Grant
  No. F65), Horizon 2020 (Grant No. 754411) and Österreichische Forschungsförderungsgesellschaft.
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Federico
  full_name: Cornalba, Federico
  id: 2CEB641C-A400-11E9-A717-D712E6697425
  last_name: Cornalba
  orcid: 0000-0002-6269-5149
- first_name: Constantin
  full_name: Disselkamp, Constantin
  last_name: Disselkamp
- first_name: Davide
  full_name: Scassola, Davide
  last_name: Scassola
- first_name: Christopher
  full_name: Helf, Christopher
  last_name: Helf
citation:
  ama: 'Cornalba F, Disselkamp C, Scassola D, Helf C. Multi-objective reward generalization:
    Improving performance of Deep Reinforcement Learning for applications in single-asset
    trading. <i>Neural Computing and Applications</i>. 2024;36(2):617-637. doi:<a
    href="https://doi.org/10.1007/s00521-023-09033-7">10.1007/s00521-023-09033-7</a>'
  apa: 'Cornalba, F., Disselkamp, C., Scassola, D., &#38; Helf, C. (2024). Multi-objective
    reward generalization: Improving performance of Deep Reinforcement Learning for
    applications in single-asset trading. <i>Neural Computing and Applications</i>.
    Springer Nature. <a href="https://doi.org/10.1007/s00521-023-09033-7">https://doi.org/10.1007/s00521-023-09033-7</a>'
  chicago: 'Cornalba, Federico, Constantin Disselkamp, Davide Scassola, and Christopher
    Helf. “Multi-Objective Reward Generalization: Improving Performance of Deep Reinforcement
    Learning for Applications in Single-Asset Trading.” <i>Neural Computing and Applications</i>.
    Springer Nature, 2024. <a href="https://doi.org/10.1007/s00521-023-09033-7">https://doi.org/10.1007/s00521-023-09033-7</a>.'
  ieee: 'F. Cornalba, C. Disselkamp, D. Scassola, and C. Helf, “Multi-objective reward
    generalization: Improving performance of Deep Reinforcement Learning for applications
    in single-asset trading,” <i>Neural Computing and Applications</i>, vol. 36, no.
    2. Springer Nature, pp. 617–637, 2024.'
  ista: 'Cornalba F, Disselkamp C, Scassola D, Helf C. 2024. Multi-objective reward
    generalization: Improving performance of Deep Reinforcement Learning for applications
    in single-asset trading. Neural Computing and Applications. 36(2), 617–637.'
  mla: 'Cornalba, Federico, et al. “Multi-Objective Reward Generalization: Improving
    Performance of Deep Reinforcement Learning for Applications in Single-Asset Trading.”
    <i>Neural Computing and Applications</i>, vol. 36, no. 2, Springer Nature, 2024,
    pp. 617–37, doi:<a href="https://doi.org/10.1007/s00521-023-09033-7">10.1007/s00521-023-09033-7</a>.'
  short: F. Cornalba, C. Disselkamp, D. Scassola, C. Helf, Neural Computing and Applications
    36 (2024) 617–637.
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: All datasets and the entire source code used in this paper
  are available in open-source format at the repository https://github.com/trality/fire
  . In particular, the instructions for reproducibility are contained in the README.md
  file therein.
date_created: 2023-10-22T22:01:16Z
date_published: 2024-01-01T00:00:00Z
date_updated: 2026-10-15T09:42:15Z
day: '01'
ddc:
- '000'
department:
- _id: JuFi
doi: 10.1007/s00521-023-09033-7
ec_funded: 1
external_id:
  arxiv:
  - '2203.04579'
  pmid:
  - '38187995'
file:
- access_level: open_access
  checksum: 04573d8e74c6119b97c2ca0a984e19a1
  content_type: application/pdf
  creator: dernst
  date_created: 2024-07-16T08:08:54Z
  date_updated: 2024-07-16T08:08:54Z
  file_id: '17251'
  file_name: 2024_NeuralCompApplications_Cornalba.pdf
  file_size: 4412285
  relation: main_file
  success: 1
file_date_updated: 2024-07-16T08:08:54Z
fulldoi: https://doi.org/10.1007/s00521-023-09033-7
has_accepted_license: '1'
intvolume: '        36'
issue: '2'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 617-637
pmid: 1
project:
- _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2
  grant_number: F6504
  name: Taming Complexity in Partial Differential Systems
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
publication: Neural Computing and Applications
publication_identifier:
  eissn:
  - 1433-3058
  issn:
  - 0941-0643
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: no
title: 'Multi-objective reward generalization: Improving performance of Deep Reinforcement
  Learning for applications in single-asset trading'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 36
year: '2024'
...
---
_id: '17887'
abstract:
- lang: eng
  text: We show convergence of the Navier-Stokes/Allen-Cahn system to a classical
    sharp interface model for the two-phase flow of two viscous incompressible fluids
    with same viscosities in a smooth bounded domain in two and three space dimensions
    as long as a smooth solution of the limit system exists. Moreover, we obtain error
    estimates with the aid of a relative entropy method. Our results hold provided
    that the mobility  mε>0  in the Allen-Cahn equation tends to zero in a subcritical
    way, i.e.,  mε=m0εβ  for some  β∈(0,2)  and  m0>0 . The proof proceeds by showing
    via a relative entropy argument that the solution to the Navier-Stokes/Allen-Cahn
    system remains close to the solution of a perturbed version of the two-phase flow
    problem, augmented by an extra mean curvature flow term  mεHΓt  in the interface
    motion. In a second step, it is easy to see that the solution to the perturbed
    problem is close to the original two-phase flow.
acknowledgement: "J. Fischer and M. Moser have received funding from the European
  Research Council (ERC) under the European Union’s Horizon 2020 research and innovation
  programme (grant agreement No 948819).\r\nOpen Access funding enabled and organized
  by Projekt DEAL."
article_number: '77'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Helmut
  full_name: Abels, Helmut
  last_name: Abels
- first_name: Julian L
  full_name: Fischer, Julian L
  id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87
  last_name: Fischer
  orcid: 0000-0002-0479-558X
- first_name: Maximilian
  full_name: Moser, Maximilian
  id: a60047a9-da77-11eb-85b4-c4dc385ebb8c
  last_name: Moser
citation:
  ama: Abels H, Fischer JL, Moser M. Approximation of classical two-phase flows of
    viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system. <i>Archive
    for Rational Mechanics and Analysis</i>. 2024;248(5). doi:<a href="https://doi.org/10.1007/s00205-024-02020-9">10.1007/s00205-024-02020-9</a>
  apa: Abels, H., Fischer, J. L., &#38; Moser, M. (2024). Approximation of classical
    two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn
    system. <i>Archive for Rational Mechanics and Analysis</i>. Springer Nature. <a
    href="https://doi.org/10.1007/s00205-024-02020-9">https://doi.org/10.1007/s00205-024-02020-9</a>
  chicago: Abels, Helmut, Julian L Fischer, and Maximilian Moser. “Approximation of
    Classical Two-Phase Flows of Viscous Incompressible Fluids by a Navier–Stokes/Allen–Cahn
    System.” <i>Archive for Rational Mechanics and Analysis</i>. Springer Nature,
    2024. <a href="https://doi.org/10.1007/s00205-024-02020-9">https://doi.org/10.1007/s00205-024-02020-9</a>.
  ieee: H. Abels, J. L. Fischer, and M. Moser, “Approximation of classical two-phase
    flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system,”
    <i>Archive for Rational Mechanics and Analysis</i>, vol. 248, no. 5. Springer
    Nature, 2024.
  ista: Abels H, Fischer JL, Moser M. 2024. Approximation of classical two-phase flows
    of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system. Archive
    for Rational Mechanics and Analysis. 248(5), 77.
  mla: Abels, Helmut, et al. “Approximation of Classical Two-Phase Flows of Viscous
    Incompressible Fluids by a Navier–Stokes/Allen–Cahn System.” <i>Archive for Rational
    Mechanics and Analysis</i>, vol. 248, no. 5, 77, Springer Nature, 2024, doi:<a
    href="https://doi.org/10.1007/s00205-024-02020-9">10.1007/s00205-024-02020-9</a>.
  short: H. Abels, J.L. Fischer, M. Moser, Archive for Rational Mechanics and Analysis
    248 (2024).
das_tickbox: '1'
dataavailabilitystatement: There is no associated data to the manuscript.
date_created: 2024-09-08T22:01:10Z
date_published: 2024-09-03T00:00:00Z
date_updated: 2026-10-15T09:44:17Z
day: '03'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1007/s00205-024-02020-9
ec_funded: 1
external_id:
  arxiv:
  - '2311.02997'
  isi:
  - '001305530600001'
  pmid:
  - '39239088'
file:
- access_level: open_access
  checksum: 98493a05b84e4513b6394dfad4851ddf
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  file_size: 811131
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file_date_updated: 2024-09-09T08:43:32Z
fulldoi: https://doi.org/10.1007/s00205-024-02020-9
has_accepted_license: '1'
intvolume: '       248'
isi: 1
issue: '5'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: Archive for Rational Mechanics and Analysis
publication_identifier:
  eissn:
  - 1432-0673
  issn:
  - 0003-9527
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: not applicable
scopus_import: '1'
status: public
supplementarymaterial: no
title: Approximation of classical two-phase flows of viscous incompressible fluids
  by a Navier–Stokes/Allen–Cahn system
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 248
year: '2024'
...
---
_id: '12485'
abstract:
- lang: eng
  text: In this paper we introduce the critical variational setting for parabolic
    stochastic evolution equations of quasi- or semi-linear type. Our results improve
    many of the abstract results in the classical variational setting. In particular,
    we are able to replace the usual weak or local monotonicity condition by a more
    flexible local Lipschitz condition. Moreover, the usual growth conditions on the
    multiplicative noise are weakened considerably. Our new setting provides general
    conditions under which local and global existence and uniqueness hold. Moreover,
    we prove continuous dependence on the initial data. We show that many classical
    SPDEs, which could not be covered by the classical variational setting, do fit
    in the critical variational setting. In particular, this is the case for the Cahn-Hilliard
    equations, tamed Navier-Stokes equations, and Allen-Cahn equation.
acknowledgement: The first author has received funding from the European Research
  Council (ERC) under the European Union’s Horizon 2020 research and innovation programme
  (grant agreement No 948819) . The second author is supported by the VICI subsidy
  VI.C.212.027 of the Netherlands Organisation for Scientific Research (NWO).
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Antonio
  full_name: Agresti, Antonio
  id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72
  last_name: Agresti
  orcid: 0000-0002-9573-2962
- first_name: Mark
  full_name: Veraar, Mark
  last_name: Veraar
citation:
  ama: Agresti A, Veraar M. The critical variational setting for stochastic evolution
    equations. <i>Probability Theory and Related Fields</i>. 2024;188:957-1015. doi:<a
    href="https://doi.org/10.1007/s00440-023-01249-x">10.1007/s00440-023-01249-x</a>
  apa: Agresti, A., &#38; Veraar, M. (2024). The critical variational setting for
    stochastic evolution equations. <i>Probability Theory and Related Fields</i>.
    Springer Nature. <a href="https://doi.org/10.1007/s00440-023-01249-x">https://doi.org/10.1007/s00440-023-01249-x</a>
  chicago: Agresti, Antonio, and Mark Veraar. “The Critical Variational Setting for
    Stochastic Evolution Equations.” <i>Probability Theory and Related Fields</i>.
    Springer Nature, 2024. <a href="https://doi.org/10.1007/s00440-023-01249-x">https://doi.org/10.1007/s00440-023-01249-x</a>.
  ieee: A. Agresti and M. Veraar, “The critical variational setting for stochastic
    evolution equations,” <i>Probability Theory and Related Fields</i>, vol. 188.
    Springer Nature, pp. 957–1015, 2024.
  ista: Agresti A, Veraar M. 2024. The critical variational setting for stochastic
    evolution equations. Probability Theory and Related Fields. 188, 957–1015.
  mla: Agresti, Antonio, and Mark Veraar. “The Critical Variational Setting for Stochastic
    Evolution Equations.” <i>Probability Theory and Related Fields</i>, vol. 188,
    Springer Nature, 2024, pp. 957–1015, doi:<a href="https://doi.org/10.1007/s00440-023-01249-x">10.1007/s00440-023-01249-x</a>.
  short: A. Agresti, M. Veraar, Probability Theory and Related Fields 188 (2024) 957–1015.
das_tickbox: '1'
dataavailabilitystatement: Data sharing not applicable to this article as no datasets
  were generated or analysed during the current study.
date_created: 2023-02-02T10:45:15Z
date_published: 2024-04-01T00:00:00Z
date_updated: 2026-10-15T09:45:31Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1007/s00440-023-01249-x
ec_funded: 1
external_id:
  arxiv:
  - '2206.00230'
  isi:
  - '001154226500001'
file:
- access_level: open_access
  checksum: b8572339dbc5b8de4934dc5fd34afc7d
  content_type: application/pdf
  creator: dernst
  date_created: 2024-07-22T09:21:09Z
  date_updated: 2024-07-22T09:21:09Z
  file_id: '17296'
  file_name: 2024_ProbTheory_Agresti.pdf
  file_size: 942801
  relation: main_file
  success: 1
file_date_updated: 2024-07-22T09:21:09Z
fulldoi: https://doi.org/10.1007/s00440-023-01249-x
has_accepted_license: '1'
intvolume: '       188'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 957-1015
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: Probability Theory and Related Fields
publication_identifier:
  eissn:
  - 1432-2064
  issn:
  - 0178-8051
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: not applicable
scopus_import: '1'
status: public
supplementarymaterial: no
title: The critical variational setting for stochastic evolution equations
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 188
year: '2024'
...
---
_id: '12178'
abstract:
- lang: eng
  text: In this paper we consider the stochastic primitive equation for geophysical
    flows subject to transport noise and turbulent pressure. Admitting very rough
    noise terms, the global existence and uniqueness of solutions to this stochastic
    partial differential equation are proven using stochastic maximal L² regularity,
    the theory of critical spaces for stochastic evolution equations, and global a
    priori bounds. Compared to other results in this direction, we do not need any
    smallness assumption on the transport noise which acts directly on the velocity
    field and we also allow rougher noise terms. The adaptation to Stratonovich type
    noise and, more generally, to variable viscosity and/or conductivity are discussed
    as well.
acknowledgement: The authors thank the anonymous referees for their helpful comments
  and suggestions. Open Access funding enabled and organized by Projekt DEAL.
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Antonio
  full_name: Agresti, Antonio
  id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72
  last_name: Agresti
  orcid: 0000-0002-9573-2962
- first_name: Matthias
  full_name: Hieber, Matthias
  last_name: Hieber
- first_name: Amru
  full_name: Hussein, Amru
  last_name: Hussein
- first_name: Martin
  full_name: Saal, Martin
  last_name: Saal
citation:
  ama: 'Agresti A, Hieber M, Hussein A, Saal M. The stochastic primitive equations
    with transport noise and turbulent pressure. <i>Stochastics and Partial Differential
    Equations: Analysis and Computations</i>. 2024;12:53-133. doi:<a href="https://doi.org/10.1007/s40072-022-00277-3">10.1007/s40072-022-00277-3</a>'
  apa: 'Agresti, A., Hieber, M., Hussein, A., &#38; Saal, M. (2024). The stochastic
    primitive equations with transport noise and turbulent pressure. <i>Stochastics
    and Partial Differential Equations: Analysis and Computations</i>. Springer Nature.
    <a href="https://doi.org/10.1007/s40072-022-00277-3">https://doi.org/10.1007/s40072-022-00277-3</a>'
  chicago: 'Agresti, Antonio, Matthias Hieber, Amru Hussein, and Martin Saal. “The
    Stochastic Primitive Equations with Transport Noise and Turbulent Pressure.” <i>Stochastics
    and Partial Differential Equations: Analysis and Computations</i>. Springer Nature,
    2024. <a href="https://doi.org/10.1007/s40072-022-00277-3">https://doi.org/10.1007/s40072-022-00277-3</a>.'
  ieee: 'A. Agresti, M. Hieber, A. Hussein, and M. Saal, “The stochastic primitive
    equations with transport noise and turbulent pressure,” <i>Stochastics and Partial
    Differential Equations: Analysis and Computations</i>, vol. 12. Springer Nature,
    pp. 53–133, 2024.'
  ista: 'Agresti A, Hieber M, Hussein A, Saal M. 2024. The stochastic primitive equations
    with transport noise and turbulent pressure. Stochastics and Partial Differential
    Equations: Analysis and Computations. 12, 53–133.'
  mla: 'Agresti, Antonio, et al. “The Stochastic Primitive Equations with Transport
    Noise and Turbulent Pressure.” <i>Stochastics and Partial Differential Equations:
    Analysis and Computations</i>, vol. 12, Springer Nature, 2024, pp. 53–133, doi:<a
    href="https://doi.org/10.1007/s40072-022-00277-3">10.1007/s40072-022-00277-3</a>.'
  short: 'A. Agresti, M. Hieber, A. Hussein, M. Saal, Stochastics and Partial Differential
    Equations: Analysis and Computations 12 (2024) 53–133.'
das_tickbox: '1'
dataavailabilitystatement: This manuscript has no associated data.
date_created: 2023-01-12T12:12:29Z
date_published: 2024-03-01T00:00:00Z
date_updated: 2026-10-15T09:44:54Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1007/s40072-022-00277-3
external_id:
  arxiv:
  - '2109.09561'
  isi:
  - '000874389000001'
file:
- access_level: open_access
  checksum: 59c9000761134d681bdf9d482664044c
  content_type: application/pdf
  creator: dernst
  date_created: 2024-07-22T09:29:48Z
  date_updated: 2024-07-22T09:29:48Z
  file_id: '17297'
  file_name: 2024_StochasticsEquations_Agresti.pdf
  file_size: 1206413
  relation: main_file
  success: 1
file_date_updated: 2024-07-22T09:29:48Z
fulldoi: https://doi.org/10.1007/s40072-022-00277-3
has_accepted_license: '1'
intvolume: '        12'
isi: 1
keyword:
- Applied Mathematics
- Modeling and Simulation
- Statistics and Probability
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 53-133
publication: 'Stochastics and Partial Differential Equations: Analysis and Computations'
publication_identifier:
  eissn:
  - 2194-041X
  issn:
  - 2194-0401
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: not applicable
scopus_import: '1'
status: public
supplementarymaterial: yes
title: The stochastic primitive equations with transport noise and turbulent pressure
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 12
year: '2024'
...
---
_id: '17372'
abstract:
- lang: eng
  text: 'In this paper, we investigate the global well-posedness of reaction-diffusion
    systems with transport noise on the  d-dimensional torus. We show new global well-posedness
    results for a large class of scalar equations (e.g. the Allen-Cahn equation),
    and dissipative systems (e.g. equations in coagulation dynamics). Moreover, we
    prove global well-posedness for two weakly dissipative systems: Lotka-Volterra
    equations for  d∈{1,2,3,4}  and the Brusselator for  d∈{1,2,3}. Many of the results
    are also new without transport noise. The proofs are based on maximal regularity
    techniques, positivity results, and sharp blow-up criteria developed in our recent
    works, combined with energy estimates based on Itô''s formula and stochastic Gronwall
    inequalities. Key novelties include the introduction of new  Lζ -coercivity/dissipativity
    conditions and the development of an  Lp(Lq) -framework for systems of reaction-diffusion
    equations, which are needed when treating dimensions  d∈{2,3}  in the case of
    cubic or higher order nonlinearities.'
acknowledgement: The first author’s research was supported by the European Research
  Council (ERC) under the European Union’s Horizon 2020 research and innovation programme
  grant 948819. . The second author’s research was supported by the VICI subsidy VI.C.212.027
  of the Netherlands Organisation for Scientific Research (NWO).
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Antonio
  full_name: Agresti, Antonio
  id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72
  last_name: Agresti
  orcid: 0000-0002-9573-2962
- first_name: Mark
  full_name: Veraar, Mark
  last_name: Veraar
citation:
  ama: 'Agresti A, Veraar M. Reaction-diffusion equations with transport noise and
    critical superlinear diffusion: Global well-posedness of weakly dissipative systems.
    <i>SIAM Journal on Mathematical Analysis</i>. 2024;56(4):4870-4927. doi:<a href="https://doi.org/10.1137/23M1562482">10.1137/23M1562482</a>'
  apa: 'Agresti, A., &#38; Veraar, M. (2024). Reaction-diffusion equations with transport
    noise and critical superlinear diffusion: Global well-posedness of weakly dissipative
    systems. <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial
    and Applied Mathematics. <a href="https://doi.org/10.1137/23M1562482">https://doi.org/10.1137/23M1562482</a>'
  chicago: 'Agresti, Antonio, and Mark Veraar. “Reaction-Diffusion Equations with
    Transport Noise and Critical Superlinear Diffusion: Global Well-Posedness of Weakly
    Dissipative Systems.” <i>SIAM Journal on Mathematical Analysis</i>. Society for
    Industrial and Applied Mathematics, 2024. <a href="https://doi.org/10.1137/23M1562482">https://doi.org/10.1137/23M1562482</a>.'
  ieee: 'A. Agresti and M. Veraar, “Reaction-diffusion equations with transport noise
    and critical superlinear diffusion: Global well-posedness of weakly dissipative
    systems,” <i>SIAM Journal on Mathematical Analysis</i>, vol. 56, no. 4. Society
    for Industrial and Applied Mathematics, pp. 4870–4927, 2024.'
  ista: 'Agresti A, Veraar M. 2024. Reaction-diffusion equations with transport noise
    and critical superlinear diffusion: Global well-posedness of weakly dissipative
    systems. SIAM Journal on Mathematical Analysis. 56(4), 4870–4927.'
  mla: 'Agresti, Antonio, and Mark Veraar. “Reaction-Diffusion Equations with Transport
    Noise and Critical Superlinear Diffusion: Global Well-Posedness of Weakly Dissipative
    Systems.” <i>SIAM Journal on Mathematical Analysis</i>, vol. 56, no. 4, Society
    for Industrial and Applied Mathematics, 2024, pp. 4870–927, doi:<a href="https://doi.org/10.1137/23M1562482">10.1137/23M1562482</a>.'
  short: A. Agresti, M. Veraar, SIAM Journal on Mathematical Analysis 56 (2024) 4870–4927.
corr_author: '1'
das_tickbox: '0'
date_created: 2024-08-04T22:01:21Z
date_published: 2024-08-01T00:00:00Z
date_updated: 2026-10-15T09:43:41Z
day: '01'
department:
- _id: JuFi
doi: 10.1137/23M1562482
ec_funded: 1
external_id:
  arxiv:
  - '2301.06897'
  isi:
  - '001315424500021'
fulldoi: https://doi.org/10.1137/23M1562482
intvolume: '        56'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2301.06897
month: '08'
oa: 1
oa_version: Preprint
page: 4870-4927
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: SIAM Journal on Mathematical Analysis
publication_identifier:
  eissn:
  - 1095-7154
  issn:
  - 0036-1410
publication_status: published
publisher: Society for Industrial and Applied Mathematics
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: 'Reaction-diffusion equations with transport noise and critical superlinear
  diffusion: Global well-posedness of weakly dissipative systems'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 56
year: '2024'
...
---
_id: '14884'
abstract:
- lang: eng
  text: We perform a stochastic homogenization analysis for composite materials exhibiting
    a random microstructure. Under the assumptions of stationarity and ergodicity,
    we characterize the Gamma-limit of a micromagnetic energy functional defined on
    magnetizations taking value in the unit sphere and including both symmetric and
    antisymmetric exchange contributions. This Gamma-limit corresponds to a micromagnetic
    energy functional with homogeneous coefficients. We provide explicit formulas
    for the effective magnetic properties of the composite material in terms of homogenization
    correctors. Additionally, the variational analysis of the two exchange energy
    terms is performed in the more general setting of functionals defined on manifold-valued
    maps with Sobolev regularity, in the case in which the target manifold is a bounded,
    orientable smooth surface with tubular neighborhood of uniform thickness. Eventually,
    we present an explicit characterization of minimizers of the effective exchange
    in the case of magnetic multilayers, providing quantitative evidence of Dzyaloshinskii’s
    predictions on the emergence of helical structures in composite ferromagnetic
    materials with stochastic microstructure.
acknowledgement: All authors acknowledge support of the Austrian Science Fund (FWF)
  through the SFB project F65. The research of E. Davoli and L. D’Elia has additionally
  been supported by the FWF through grants V662, Y1292, and P35359, as well as from
  OeAD through the WTZ grant CZ09/2023.
article_number: '30'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Elisa
  full_name: Davoli, Elisa
  last_name: Davoli
- first_name: Lorenza
  full_name: D’Elia, Lorenza
  last_name: D’Elia
- first_name: Jonas
  full_name: Ingmanns, Jonas
  id: 71523d30-15b2-11ec-abd3-f80aa909d6b0
  last_name: Ingmanns
  orcid: 0009-0008-1310-7946
citation:
  ama: Davoli E, D’Elia L, Ingmanns J. Stochastic homogenization of micromagnetic
    energies and emergence of magnetic skyrmions. <i>Journal of Nonlinear Science</i>.
    2024;34(2). doi:<a href="https://doi.org/10.1007/s00332-023-10005-3">10.1007/s00332-023-10005-3</a>
  apa: Davoli, E., D’Elia, L., &#38; Ingmanns, J. (2024). Stochastic homogenization
    of micromagnetic energies and emergence of magnetic skyrmions. <i>Journal of Nonlinear
    Science</i>. Springer Nature. <a href="https://doi.org/10.1007/s00332-023-10005-3">https://doi.org/10.1007/s00332-023-10005-3</a>
  chicago: Davoli, Elisa, Lorenza D’Elia, and Jonas Ingmanns. “Stochastic Homogenization
    of Micromagnetic Energies and Emergence of Magnetic Skyrmions.” <i>Journal of
    Nonlinear Science</i>. Springer Nature, 2024. <a href="https://doi.org/10.1007/s00332-023-10005-3">https://doi.org/10.1007/s00332-023-10005-3</a>.
  ieee: E. Davoli, L. D’Elia, and J. Ingmanns, “Stochastic homogenization of micromagnetic
    energies and emergence of magnetic skyrmions,” <i>Journal of Nonlinear Science</i>,
    vol. 34, no. 2. Springer Nature, 2024.
  ista: Davoli E, D’Elia L, Ingmanns J. 2024. Stochastic homogenization of micromagnetic
    energies and emergence of magnetic skyrmions. Journal of Nonlinear Science. 34(2),
    30.
  mla: Davoli, Elisa, et al. “Stochastic Homogenization of Micromagnetic Energies
    and Emergence of Magnetic Skyrmions.” <i>Journal of Nonlinear Science</i>, vol.
    34, no. 2, 30, Springer Nature, 2024, doi:<a href="https://doi.org/10.1007/s00332-023-10005-3">10.1007/s00332-023-10005-3</a>.
  short: E. Davoli, L. D’Elia, J. Ingmanns, Journal of Nonlinear Science 34 (2024).
das_tickbox: '1'
dataavailabilitystatement: Data sharing is not applicable to this article as no datasets
  were generated or analyzed during the current study.
date_created: 2024-01-28T23:01:42Z
date_published: 2024-01-23T00:00:00Z
date_updated: 2026-10-15T09:46:00Z
day: '23'
department:
- _id: JuFi
doi: 10.1007/s00332-023-10005-3
external_id:
  arxiv:
  - '2306.05151'
  isi:
  - '001147480200001'
fulldoi: https://doi.org/10.1007/s00332-023-10005-3
intvolume: '        34'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2306.05151
month: '01'
oa: 1
oa_version: Preprint
project:
- _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2
  grant_number: F6504
  name: Taming Complexity in Partial Differential Systems
publication: Journal of Nonlinear Science
publication_identifier:
  eissn:
  - 1432-1467
  issn:
  - 0938-8974
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: not applicable
scopus_import: '1'
status: public
supplementarymaterial: no
title: Stochastic homogenization of micromagnetic energies and emergence of magnetic
  skyrmions
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 34
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '13129'
abstract:
- lang: eng
  text: "We study the representative volume element (RVE) method, which is a method
    to approximately infer the effective behavior ahom of a stationary random medium.
    The latter is described by a coefficient field a(x) generated from a given ensemble
    ⟨⋅⟩ and the corresponding linear elliptic operator −∇⋅a∇. In line with the theory
    of homogenization, the method proceeds by computing d=3 correctors (d denoting
    the space dimension). To be numerically tractable, this computation has to be
    done on a finite domain: the so-called representative volume element, i.e., a
    large box with, say, periodic boundary conditions. The main message of this article
    is: Periodize the ensemble instead of its realizations. By this, we mean that
    it is better to sample from a suitably periodized ensemble than to periodically
    extend the restriction of a realization a(x) from the whole-space ensemble ⟨⋅⟩.
    We make this point by investigating the bias (or systematic error), i.e., the
    difference between ahom and the expected value of the RVE method, in terms of
    its scaling w.r.t. the lateral size L of the box. In case of periodizing a(x),
    we heuristically argue that this error is generically O(L−1). In case of a suitable
    periodization of ⟨⋅⟩\r\n, we rigorously show that it is O(L−d). In fact, we give
    a characterization of the leading-order error term for both strategies and argue
    that even in the isotropic case it is generically non-degenerate. We carry out
    the rigorous analysis in the convenient setting of ensembles ⟨⋅⟩\r\n of Gaussian
    type, which allow for a straightforward periodization, passing via the (integrable)
    covariance function. This setting has also the advantage of making the Price theorem
    and the Malliavin calculus available for optimal stochastic estimates of correctors.
    We actually need control of second-order correctors to capture the leading-order
    error term. This is due to inversion symmetry when applying the two-scale expansion
    to the Green function. As a bonus, we present a stream-lined strategy to estimate
    the error in a higher-order two-scale expansion of the Green function."
acknowledgement: Open access funding provided by Institute of Science and Technology
  (IST Austria).
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Nicolas
  full_name: Clozeau, Nicolas
  id: fea1b376-906f-11eb-847d-b2c0cf46455b
  last_name: Clozeau
- first_name: Marc
  full_name: Josien, Marc
  last_name: Josien
- first_name: Felix
  full_name: Otto, Felix
  last_name: Otto
- first_name: Qiang
  full_name: Xu, Qiang
  last_name: Xu
citation:
  ama: 'Clozeau N, Josien M, Otto F, Xu Q. Bias in the representative volume element
    method: Periodize the ensemble instead of its realizations. <i>Foundations of
    Computational Mathematics</i>. 2024;24:1305-1387. doi:<a href="https://doi.org/10.1007/s10208-023-09613-y">10.1007/s10208-023-09613-y</a>'
  apa: 'Clozeau, N., Josien, M., Otto, F., &#38; Xu, Q. (2024). Bias in the representative
    volume element method: Periodize the ensemble instead of its realizations. <i>Foundations
    of Computational Mathematics</i>. Springer Nature. <a href="https://doi.org/10.1007/s10208-023-09613-y">https://doi.org/10.1007/s10208-023-09613-y</a>'
  chicago: 'Clozeau, Nicolas, Marc Josien, Felix Otto, and Qiang Xu. “Bias in the
    Representative Volume Element Method: Periodize the Ensemble Instead of Its Realizations.”
    <i>Foundations of Computational Mathematics</i>. Springer Nature, 2024. <a href="https://doi.org/10.1007/s10208-023-09613-y">https://doi.org/10.1007/s10208-023-09613-y</a>.'
  ieee: 'N. Clozeau, M. Josien, F. Otto, and Q. Xu, “Bias in the representative volume
    element method: Periodize the ensemble instead of its realizations,” <i>Foundations
    of Computational Mathematics</i>, vol. 24. Springer Nature, pp. 1305–1387, 2024.'
  ista: 'Clozeau N, Josien M, Otto F, Xu Q. 2024. Bias in the representative volume
    element method: Periodize the ensemble instead of its realizations. Foundations
    of Computational Mathematics. 24, 1305–1387.'
  mla: 'Clozeau, Nicolas, et al. “Bias in the Representative Volume Element Method:
    Periodize the Ensemble Instead of Its Realizations.” <i>Foundations of Computational
    Mathematics</i>, vol. 24, Springer Nature, 2024, pp. 1305–87, doi:<a href="https://doi.org/10.1007/s10208-023-09613-y">10.1007/s10208-023-09613-y</a>.'
  short: N. Clozeau, M. Josien, F. Otto, Q. Xu, Foundations of Computational Mathematics
    24 (2024) 1305–1387.
corr_author: '1'
das_tickbox: '0'
date_created: 2023-06-11T22:00:40Z
date_published: 2024-08-01T00:00:00Z
date_updated: 2026-10-15T09:47:37Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1007/s10208-023-09613-y
external_id:
  isi:
  - '000999623100001'
file:
- access_level: open_access
  checksum: ec0582e2b55e2703a7da2686ae0d682e
  content_type: application/pdf
  creator: dernst
  date_created: 2025-01-09T07:36:57Z
  date_updated: 2025-01-09T07:36:57Z
  file_id: '18782'
  file_name: 2024_FoundCompMath_Clozeau.pdf
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file_date_updated: 2025-01-09T07:36:57Z
fulldoi: https://doi.org/10.1007/s10208-023-09613-y
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intvolume: '        24'
isi: 1
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: 1305-1387
publication: Foundations of Computational Mathematics
publication_identifier:
  eissn:
  - 1615-3383
  issn:
  - 1615-3375
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: 'Bias in the representative volume element method: Periodize the ensemble instead
  of its realizations'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 24
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '12486'
abstract:
- lang: eng
  text: This paper is concerned with the problem of regularization by noise of systems
    of reaction–diffusion equations with mass control. It is known that strong solutions
    to such systems of PDEs may blow-up in finite time. Moreover, for many systems
    of practical interest, establishing whether the blow-up occurs or not is an open
    question. Here we prove that a suitable multiplicative noise of transport type
    has a regularizing effect. More precisely, for both a sufficiently noise intensity
    and a high spectrum, the blow-up of strong solutions is delayed up to an arbitrary
    large time. Global existence is shown for the case of exponentially decreasing
    mass. The proofs combine and extend recent developments in regularization by noise
    and in the Lp(Lq)-approach to stochastic PDEs, highlighting new connections between
    the two areas.
acknowledgement: "The author has received funding from the European Research Council
  (ERC) under the European Union’s Horizon 2020 research and innovation programme
  (Grant Agreement No. 948819).\r\nThe author thanks Lorenzo Dello Schiavo, Lucio
  Galeati and Mark Veraar for helpful comments. The author acknowledges Caterina Balzotti
  for her support in creating the picture. The author\r\nthanks the anonymous referee
  for helpful comments. "
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Antonio
  full_name: Agresti, Antonio
  id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72
  last_name: Agresti
  orcid: 0000-0002-9573-2962
citation:
  ama: 'Agresti A. Delayed blow-up and enhanced diffusion by transport noise for systems
    of reaction-diffusion equations. <i>Stochastics and Partial Differential Equations:
    Analysis and Computations</i>. 2024;12:1907-1981. doi:<a href="https://doi.org/10.1007/s40072-023-00319-4">10.1007/s40072-023-00319-4</a>'
  apa: 'Agresti, A. (2024). Delayed blow-up and enhanced diffusion by transport noise
    for systems of reaction-diffusion equations. <i>Stochastics and Partial Differential
    Equations: Analysis and Computations</i>. Springer Nature. <a href="https://doi.org/10.1007/s40072-023-00319-4">https://doi.org/10.1007/s40072-023-00319-4</a>'
  chicago: 'Agresti, Antonio. “Delayed Blow-up and Enhanced Diffusion by Transport
    Noise for Systems of Reaction-Diffusion Equations.” <i>Stochastics and Partial
    Differential Equations: Analysis and Computations</i>. Springer Nature, 2024.
    <a href="https://doi.org/10.1007/s40072-023-00319-4">https://doi.org/10.1007/s40072-023-00319-4</a>.'
  ieee: 'A. Agresti, “Delayed blow-up and enhanced diffusion by transport noise for
    systems of reaction-diffusion equations,” <i>Stochastics and Partial Differential
    Equations: Analysis and Computations</i>, vol. 12. Springer Nature, pp. 1907–1981,
    2024.'
  ista: 'Agresti A. 2024. Delayed blow-up and enhanced diffusion by transport noise
    for systems of reaction-diffusion equations. Stochastics and Partial Differential
    Equations: Analysis and Computations. 12, 1907–1981.'
  mla: 'Agresti, Antonio. “Delayed Blow-up and Enhanced Diffusion by Transport Noise
    for Systems of Reaction-Diffusion Equations.” <i>Stochastics and Partial Differential
    Equations: Analysis and Computations</i>, vol. 12, Springer Nature, 2024, pp.
    1907–81, doi:<a href="https://doi.org/10.1007/s40072-023-00319-4">10.1007/s40072-023-00319-4</a>.'
  short: 'A. Agresti, Stochastics and Partial Differential Equations: Analysis and
    Computations 12 (2024) 1907–1981.'
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: This manuscript has no associated data.
date_created: 2023-02-02T10:45:47Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2026-10-15T09:48:09Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1007/s40072-023-00319-4
ec_funded: 1
external_id:
  arxiv:
  - '2207.08293'
  isi:
  - '001108594600001'
  pmid:
  - '39104877'
file:
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  date_updated: 2025-01-09T08:01:02Z
  file_id: '18787'
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fulldoi: https://doi.org/10.1007/s40072-023-00319-4
has_accepted_license: '1'
intvolume: '        12'
isi: 1
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 1907-1981
pmid: 1
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: 'Stochastics and Partial Differential Equations: Analysis and Computations'
publication_identifier:
  eissn:
  - 2194-041X
  issn:
  - 2194-0401
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: not applicable
scopus_import: '1'
status: public
supplementarymaterial: no
title: Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion
  equations
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 12
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '14797'
abstract:
- lang: eng
  text: We study a random matching problem on closed compact  2 -dimensional Riemannian
    manifolds (with respect to the squared Riemannian distance), with samples of random
    points whose common law is absolutely continuous with respect to the volume measure
    with strictly positive and bounded density. We show that given two sequences of
    numbers  n  and  m=m(n)  of points, asymptotically equivalent as  n  goes to infinity,
    the optimal transport plan between the two empirical measures  μn  and  νm  is
    quantitatively well-approximated by  (Id,exp(∇hn))#μn  where  hn  solves a linear
    elliptic PDE obtained by a regularized first-order linearization of the Monge-Ampère
    equation. This is obtained in the case of samples of correlated random points
    for which a stretched exponential decay of the  α -mixing coefficient holds and
    for a class of discrete-time Markov chains having a unique absolutely continuous
    invariant measure with respect to the volume measure.
acknowledgement: "NC has received funding from the European Research Council (ERC)
  under the European Union’s Horizon 2020 research and innovation programme (Grant
  agreement No 948819).\r\nFM is supported by the Deutsche Forschungsgemeinschaft
  (DFG, German Research Foundation) through the SPP 2265 Random Geometric Systems.
  FM has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research
  Foundation) under Germany’s Excellence Strategy EXC 2044 -390685587, Mathematics
  Münster: Dynamics–Geometry–Structure. FM has been funded by the Max Planck Institute
  for Mathematics in the Sciences."
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Nicolas
  full_name: Clozeau, Nicolas
  id: fea1b376-906f-11eb-847d-b2c0cf46455b
  last_name: Clozeau
- first_name: Francesco
  full_name: Mattesini, Francesco
  last_name: Mattesini
citation:
  ama: Clozeau N, Mattesini F. Annealed quantitative estimates for the quadratic 2D-discrete
    random matching problem. <i>Probability Theory and Related Fields</i>. 2024;190:485-541.
    doi:<a href="https://doi.org/10.1007/s00440-023-01254-0">10.1007/s00440-023-01254-0</a>
  apa: Clozeau, N., &#38; Mattesini, F. (2024). Annealed quantitative estimates for
    the quadratic 2D-discrete random matching problem. <i>Probability Theory and Related
    Fields</i>. Springer Nature. <a href="https://doi.org/10.1007/s00440-023-01254-0">https://doi.org/10.1007/s00440-023-01254-0</a>
  chicago: Clozeau, Nicolas, and Francesco Mattesini. “Annealed Quantitative Estimates
    for the Quadratic 2D-Discrete Random Matching Problem.” <i>Probability Theory
    and Related Fields</i>. Springer Nature, 2024. <a href="https://doi.org/10.1007/s00440-023-01254-0">https://doi.org/10.1007/s00440-023-01254-0</a>.
  ieee: N. Clozeau and F. Mattesini, “Annealed quantitative estimates for the quadratic
    2D-discrete random matching problem,” <i>Probability Theory and Related Fields</i>,
    vol. 190. Springer Nature, pp. 485–541, 2024.
  ista: Clozeau N, Mattesini F. 2024. Annealed quantitative estimates for the quadratic
    2D-discrete random matching problem. Probability Theory and Related Fields. 190,
    485–541.
  mla: Clozeau, Nicolas, and Francesco Mattesini. “Annealed Quantitative Estimates
    for the Quadratic 2D-Discrete Random Matching Problem.” <i>Probability Theory
    and Related Fields</i>, vol. 190, Springer Nature, 2024, pp. 485–541, doi:<a href="https://doi.org/10.1007/s00440-023-01254-0">10.1007/s00440-023-01254-0</a>.
  short: N. Clozeau, F. Mattesini, Probability Theory and Related Fields 190 (2024)
    485–541.
corr_author: '1'
das_tickbox: '0'
date_created: 2024-01-14T23:00:57Z
date_published: 2024-10-01T00:00:00Z
date_updated: 2026-10-15T09:48:31Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1007/s00440-023-01254-0
ec_funded: 1
external_id:
  arxiv:
  - '2303.00353'
  isi:
  - '001136206200002'
file:
- access_level: open_access
  checksum: 34f44cad6a210ff66791ee37e590af2c
  content_type: application/pdf
  creator: dernst
  date_created: 2025-01-09T08:10:54Z
  date_updated: 2025-01-09T08:10:54Z
  file_id: '18788'
  file_name: 2024_ProbTheoryRelatFields_Clozeau.pdf
  file_size: 880117
  relation: main_file
  success: 1
file_date_updated: 2025-01-09T08:10:54Z
fulldoi: https://doi.org/10.1007/s00440-023-01254-0
has_accepted_license: '1'
intvolume: '       190'
isi: 1
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 485-541
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: Probability Theory and Related Fields
publication_identifier:
  eissn:
  - 1432-2064
  issn:
  - 0178-8051
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Annealed quantitative estimates for the quadratic 2D-discrete random matching
  problem
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 190
year: '2024'
...
---
_id: '15334'
abstract:
- lang: eng
  text: We consider the sharp interface limit of a Navier-Stokes/Allen Cahn equation
    in a bounded smooth domain in two space dimensions, in the case of vanishing mobility
    mε=ε√, where the small parameter ε>0 related to the thickness of the diffuse interface
    is sent to zero. For well-prepared initial data and sufficiently small times,
    we rigorously prove convergence to the classical two-phase Navier-Stokes system
    with surface tension. The idea of the proof is to use asymptotic expansions to
    construct an approximate solution and to estimate the difference of the exact
    and approximate solutions with a spectral estimate for the (at the approximate
    solution) linearized Allen-Cahn operator. In the calculations we use a fractional
    order ansatz and new ansatz terms in higher orders leading to a suitable ε-scaled
    and coupled model problem. Moreover, we apply the novel idea of introducing ε-dependent
    coordinates.
acknowledgement: "Open Access funding enabled and organized by Projekt DEAL.\r\nM.
  Fei was partially supported by NSF of China under Grant No. 12271004 and Anhui Provincial
  Funding Project under Grant Nos. gxbjZD2022009 and 2308085J10. Moreover, M. Moser
  has received funding from the European Research Council (ERC) under the European
  Union’s Horizon 2020 research and innovation programme (Grant Agreement No 948819)."
article_number: '94'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Helmut
  full_name: Abels, Helmut
  last_name: Abels
- first_name: Mingwen
  full_name: Fei, Mingwen
  last_name: Fei
- first_name: Maximilian
  full_name: Moser, Maximilian
  id: a60047a9-da77-11eb-85b4-c4dc385ebb8c
  last_name: Moser
citation:
  ama: Abels H, Fei M, Moser M. Sharp interface limit for a Navier–Stokes/Allen–Cahn
    system in the case of a vanishing mobility. <i>Calculus of Variations and Partial
    Differential Equations</i>. 2024;63(4). doi:<a href="https://doi.org/10.1007/s00526-024-02715-7">10.1007/s00526-024-02715-7</a>
  apa: Abels, H., Fei, M., &#38; Moser, M. (2024). Sharp interface limit for a Navier–Stokes/Allen–Cahn
    system in the case of a vanishing mobility. <i>Calculus of Variations and Partial
    Differential Equations</i>. Springer Nature. <a href="https://doi.org/10.1007/s00526-024-02715-7">https://doi.org/10.1007/s00526-024-02715-7</a>
  chicago: Abels, Helmut, Mingwen Fei, and Maximilian Moser. “Sharp Interface Limit
    for a Navier–Stokes/Allen–Cahn System in the Case of a Vanishing Mobility.” <i>Calculus
    of Variations and Partial Differential Equations</i>. Springer Nature, 2024. <a
    href="https://doi.org/10.1007/s00526-024-02715-7">https://doi.org/10.1007/s00526-024-02715-7</a>.
  ieee: H. Abels, M. Fei, and M. Moser, “Sharp interface limit for a Navier–Stokes/Allen–Cahn
    system in the case of a vanishing mobility,” <i>Calculus of Variations and Partial
    Differential Equations</i>, vol. 63, no. 4. Springer Nature, 2024.
  ista: Abels H, Fei M, Moser M. 2024. Sharp interface limit for a Navier–Stokes/Allen–Cahn
    system in the case of a vanishing mobility. Calculus of Variations and Partial
    Differential Equations. 63(4), 94.
  mla: Abels, Helmut, et al. “Sharp Interface Limit for a Navier–Stokes/Allen–Cahn
    System in the Case of a Vanishing Mobility.” <i>Calculus of Variations and Partial
    Differential Equations</i>, vol. 63, no. 4, 94, Springer Nature, 2024, doi:<a
    href="https://doi.org/10.1007/s00526-024-02715-7">10.1007/s00526-024-02715-7</a>.
  short: H. Abels, M. Fei, M. Moser, Calculus of Variations and Partial Differential
    Equations 63 (2024).
das_tickbox: '0'
date_created: 2024-04-21T22:00:52Z
date_published: 2024-05-01T00:00:00Z
date_updated: 2026-10-15T09:47:15Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1007/s00526-024-02715-7
ec_funded: 1
external_id:
  arxiv:
  - '2304.12096'
  isi:
  - '001199418100002'
file:
- access_level: open_access
  checksum: b1095fad4cae596f52cc616a973bdde2
  content_type: application/pdf
  creator: dernst
  date_created: 2024-04-23T07:30:48Z
  date_updated: 2024-04-23T07:30:48Z
  file_id: '15343'
  file_name: 2024_CalculusEquations_Abels.pdf
  file_size: 975186
  relation: main_file
  success: 1
file_date_updated: 2024-04-23T07:30:48Z
fulldoi: https://doi.org/10.1007/s00526-024-02715-7
has_accepted_license: '1'
intvolume: '        63'
isi: 1
issue: '4'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: Calculus of Variations and Partial Differential Equations
publication_identifier:
  eissn:
  - 1432-0835
  issn:
  - 0944-2669
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of
  a vanishing mobility
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 63
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '15098'
abstract:
- lang: eng
  text: The paper is devoted to the analysis of the global well-posedness and the
    interior regularity of the 2D Navier–Stokes equations with inhomogeneous stochastic
    boundary conditions. The noise, white in time and coloured in space, can be interpreted
    as the physical law describing the driving mechanism on the atmosphere–ocean interface,
    i.e. as a balance of the shear stress of the ocean and the horizontal wind force.
acknowledgement: The authors thank Professor Franco Flandoli for useful discussions
  and valuable insight into the subject. In particular, A.A. would like to thank professor
  Franco Flandoli for hosting and financially contributing to his research visit at
  Scuola Normale di Pisa in January 2023, where this work started. E.L. would like
  to express sincere gratitude to Professor Marco Fuhrman for igniting his interest
  in this particular field of research. E.L. want to thank Professor Matthias Hieber
  and Dr. Martin Saal for useful discussions. Finally, the authors thank the anonymous
  referee for helpful comments which improved the paper from its initial version.Open
  access funding provided by Scuola Normale Superiore within the CRUI-CARE Agreement.
  A. Agresti has received funding from the European Research Council (ERC) under the
  European Union’s Horizon 2020 research and innovation programme (Grant Agreement
  No. 948819).
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Antonio
  full_name: Agresti, Antonio
  id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72
  last_name: Agresti
  orcid: 0000-0002-9573-2962
- first_name: Eliseo
  full_name: Luongo, Eliseo
  last_name: Luongo
citation:
  ama: Agresti A, Luongo E. Global well-posedness and interior regularity of 2D Navier-Stokes
    equations with stochastic boundary conditions. <i>Mathematische Annalen</i>. 2024;390:2727-2766.
    doi:<a href="https://doi.org/10.1007/s00208-024-02812-0">10.1007/s00208-024-02812-0</a>
  apa: Agresti, A., &#38; Luongo, E. (2024). Global well-posedness and interior regularity
    of 2D Navier-Stokes equations with stochastic boundary conditions. <i>Mathematische
    Annalen</i>. Springer Nature. <a href="https://doi.org/10.1007/s00208-024-02812-0">https://doi.org/10.1007/s00208-024-02812-0</a>
  chicago: Agresti, Antonio, and Eliseo Luongo. “Global Well-Posedness and Interior
    Regularity of 2D Navier-Stokes Equations with Stochastic Boundary Conditions.”
    <i>Mathematische Annalen</i>. Springer Nature, 2024. <a href="https://doi.org/10.1007/s00208-024-02812-0">https://doi.org/10.1007/s00208-024-02812-0</a>.
  ieee: A. Agresti and E. Luongo, “Global well-posedness and interior regularity of
    2D Navier-Stokes equations with stochastic boundary conditions,” <i>Mathematische
    Annalen</i>, vol. 390. Springer Nature, pp. 2727–2766, 2024.
  ista: Agresti A, Luongo E. 2024. Global well-posedness and interior regularity of
    2D Navier-Stokes equations with stochastic boundary conditions. Mathematische
    Annalen. 390, 2727–2766.
  mla: Agresti, Antonio, and Eliseo Luongo. “Global Well-Posedness and Interior Regularity
    of 2D Navier-Stokes Equations with Stochastic Boundary Conditions.” <i>Mathematische
    Annalen</i>, vol. 390, Springer Nature, 2024, pp. 2727–66, doi:<a href="https://doi.org/10.1007/s00208-024-02812-0">10.1007/s00208-024-02812-0</a>.
  short: A. Agresti, E. Luongo, Mathematische Annalen 390 (2024) 2727–2766.
das_tickbox: '1'
dataavailabilitystatement: Data sharing not applicable to this article as no data
  sets were generated or analyzed during the current study.
date_created: 2024-03-10T23:00:54Z
date_published: 2024-10-01T00:00:00Z
date_updated: 2026-10-15T09:48:57Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1007/s00208-024-02812-0
ec_funded: 1
external_id:
  arxiv:
  - '2306.11081'
  isi:
  - '001172711400002'
  pmid:
  - '39351582'
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language:
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page: 2727-2766
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  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: Mathematische Annalen
publication_identifier:
  eissn:
  - 1432-1807
  issn:
  - 0025-5831
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: not applicable
scopus_import: '1'
status: public
supplementarymaterial: no
title: Global well-posedness and interior regularity of 2D Navier-Stokes equations
  with stochastic boundary conditions
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 390
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '17462'
abstract:
- lang: eng
  text: We are interested in numerical algorithms for computing the electrical field
    generated by a charge distribution localized on scale l in an infinite heterogeneous
    correlated random medium, in a situation where the medium is only known in a box
    of diameter L >>l around the support of the charge. We show that the algorithm
    in [J. Lu, F. Otto, and L. Wang, Optimal Artificial Boundary Conditions Based
    on Second-Order Correctors for Three Dimensional Random Ellilptic Media, preprint,
    arXiv:2109.01616, 2021], suggesting optimal Dirichlet boundary conditions motivated
    by the multipole expansion [P. Bella, A. Giunti, and F. Otto, Comm. Partial Differential
    Equations, 45 (2020), pp. 561–640], still performs well in correlated media. With
    overwhelming probability, we obtain a convergence rate in terms of l, L, and the
    size of the correlations for which optimality is supported with numerical simulations.
    These estimates are provided for ensembles which satisfy a multiscale logarithmic
    Sobolev inequality, where our main tool is an extension of the semigroup estimates
    in [N. Clozeau, Stoch. Partial Differ. Equ. Anal. Comput., 11 (2023), pp. 1254–1378].
    As part of our strategy, we construct sublinear second-order correctors in this
    correlated setting, which is of independent interest.
acknowledgement: We would like to thank our affiliations, Institute of Science and
  Technology Austria and Max Planck Institute for Mathematics in the Sciences, for
  supporting the authors’ visits to each other, which greatly facilitated this work.
  We would like to thank Marc Josien and Quinn Winters for assistance in numerical
  implementation.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Nicolas
  full_name: Clozeau, Nicolas
  id: fea1b376-906f-11eb-847d-b2c0cf46455b
  last_name: Clozeau
- first_name: Lihan
  full_name: Wang, Lihan
  last_name: Wang
citation:
  ama: Clozeau N, Wang L. Artificial boundary conditions for random elliptic systems
    with correlated coefficient field. <i>Multiscale Modeling and Simulation</i>.
    2024;22(3):973-1029. doi:<a href="https://doi.org/10.1137/23M1603819">10.1137/23M1603819</a>
  apa: Clozeau, N., &#38; Wang, L. (2024). Artificial boundary conditions for random
    elliptic systems with correlated coefficient field. <i>Multiscale Modeling and
    Simulation</i>. Society for Industrial and Applied Mathematics. <a href="https://doi.org/10.1137/23M1603819">https://doi.org/10.1137/23M1603819</a>
  chicago: Clozeau, Nicolas, and Lihan Wang. “Artificial Boundary Conditions for Random
    Elliptic Systems with Correlated Coefficient Field.” <i>Multiscale Modeling and
    Simulation</i>. Society for Industrial and Applied Mathematics, 2024. <a href="https://doi.org/10.1137/23M1603819">https://doi.org/10.1137/23M1603819</a>.
  ieee: N. Clozeau and L. Wang, “Artificial boundary conditions for random elliptic
    systems with correlated coefficient field,” <i>Multiscale Modeling and Simulation</i>,
    vol. 22, no. 3. Society for Industrial and Applied Mathematics, pp. 973–1029,
    2024.
  ista: Clozeau N, Wang L. 2024. Artificial boundary conditions for random elliptic
    systems with correlated coefficient field. Multiscale Modeling and Simulation.
    22(3), 973–1029.
  mla: Clozeau, Nicolas, and Lihan Wang. “Artificial Boundary Conditions for Random
    Elliptic Systems with Correlated Coefficient Field.” <i>Multiscale Modeling and
    Simulation</i>, vol. 22, no. 3, Society for Industrial and Applied Mathematics,
    2024, pp. 973–1029, doi:<a href="https://doi.org/10.1137/23M1603819">10.1137/23M1603819</a>.
  short: N. Clozeau, L. Wang, Multiscale Modeling and Simulation 22 (2024) 973–1029.
corr_author: '1'
das_tickbox: '0'
date_created: 2024-08-25T22:01:08Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2026-10-15T09:49:19Z
day: '01'
department:
- _id: JuFi
doi: 10.1137/23M1603819
ec_funded: 1
external_id:
  arxiv:
  - '2309.06798'
  isi:
  - '001285416500001'
fulldoi: https://doi.org/10.1137/23M1603819
intvolume: '        22'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2309.06798
month: '09'
oa: 1
oa_version: Preprint
page: 973-1029
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
  call_identifier: H2020
  grant_number: '948819'
  name: Bridging Scales in Random Materials
publication: Multiscale Modeling and Simulation
publication_identifier:
  eissn:
  - 1540-3467
  issn:
  - 1540-3459
publication_status: published
publisher: Society for Industrial and Applied Mathematics
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Artificial boundary conditions for random elliptic systems with correlated
  coefficient field
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 22
year: '2024'
...
---
_id: '15119'
abstract:
- lang: eng
  text: In this paper we consider an SPDE where the leading term is a second order
    operator with periodic boundary conditions, coefficients which are measurable
    in  (t,ω) , and Hölder continuous in space. Assuming stochastic parabolicity conditions,
    we prove Lp((0,T)×Ω,tκdt;Hσ,q(Td)) -estimates. The main novelty is that we do
    not require  p=q . Moreover, we allow arbitrary  σ∈R  and weights in time. Such
    mixed regularity estimates play a crucial role in applications to nonlinear SPDEs
    which is clear from our previous work. To prove our main results we develop a
    general perturbation theory for SPDEs. Moreover, we prove a new result on pointwise
    multiplication in spaces with fractional smoothness.
acknowledgement: The first author has been partially supported by the Nachwuchsring
  – Network for the promotion of young scientists – at TU Kaiserslautern. The second
  author is supported by the VIDI subsidy 639.032.427 of the Netherlands Organisation
  for Scientific Research (NWO). The authors thank the anonymous referees and Max
  Sauerbrey for careful reading and helpful suggestions.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Antonio
  full_name: Agresti, Antonio
  id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72
  last_name: Agresti
  orcid: 0000-0002-9573-2962
- first_name: Mark
  full_name: Veraar, Mark
  last_name: Veraar
citation:
  ama: Agresti A, Veraar M. Stochastic maximal Lp(Lq)-regularity for second order
    systems with periodic boundary conditions. <i>Annales de l’Institut Henri Poincaré,
    Probabilités et Statistiques</i>. 2024;60(1):413-430. doi:<a href="https://doi.org/10.1214/22-AIHP1333">10.1214/22-AIHP1333</a>
  apa: Agresti, A., &#38; Veraar, M. (2024). Stochastic maximal Lp(Lq)-regularity
    for second order systems with periodic boundary conditions. <i>Annales de l’Institut
    Henri Poincaré, Probabilités et Statistiques</i>. Institute of Mathematical Statistics.
    <a href="https://doi.org/10.1214/22-AIHP1333">https://doi.org/10.1214/22-AIHP1333</a>
  chicago: Agresti, Antonio, and Mark Veraar. “Stochastic Maximal Lp(Lq)-Regularity
    for Second Order Systems with Periodic Boundary Conditions.” <i>Annales de l’Institut
    Henri Poincaré, Probabilités et Statistiques</i>. Institute of Mathematical Statistics,
    2024. <a href="https://doi.org/10.1214/22-AIHP1333">https://doi.org/10.1214/22-AIHP1333</a>.
  ieee: A. Agresti and M. Veraar, “Stochastic maximal Lp(Lq)-regularity for second
    order systems with periodic boundary conditions,” <i>Annales de l’Institut Henri
    Poincaré, Probabilités et Statistiques</i>, vol. 60, no. 1. Institute of Mathematical
    Statistics, pp. 413–430, 2024.
  ista: Agresti A, Veraar M. 2024. Stochastic maximal Lp(Lq)-regularity for second
    order systems with periodic boundary conditions. Annales de l’Institut Henri Poincaré,
    Probabilités et Statistiques. 60(1), 413–430.
  mla: Agresti, Antonio, and Mark Veraar. “Stochastic Maximal Lp(Lq)-Regularity for
    Second Order Systems with Periodic Boundary Conditions.” <i>Annales de l’Institut
    Henri Poincaré, Probabilités et Statistiques</i>, vol. 60, no. 1, Institute of
    Mathematical Statistics, 2024, pp. 413–30, doi:<a href="https://doi.org/10.1214/22-AIHP1333">10.1214/22-AIHP1333</a>.
  short: A. Agresti, M. Veraar, Annales de l’Institut Henri Poincaré, Probabilités
    et Statistiques 60 (2024) 413–430.
corr_author: '1'
das_tickbox: '0'
date_created: 2024-03-17T23:00:58Z
date_published: 2024-02-01T00:00:00Z
date_updated: 2026-10-15T09:46:19Z
day: '01'
department:
- _id: JuFi
doi: 10.1214/22-AIHP1333
external_id:
  arxiv:
  - '2106.01274'
fulldoi: https://doi.org/10.1214/22-AIHP1333
intvolume: '        60'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2106.01274
month: '02'
oa: 1
oa_version: Preprint
page: 413-430
publication: Annales de l'Institut Henri Poincaré, Probabilités et Statistiques
publication_identifier:
  issn:
  - 0246-0203
publication_status: published
publisher: Institute of Mathematical Statistics
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Stochastic maximal Lp(Lq)-regularity for second order systems with periodic
  boundary conditions
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 60
year: '2024'
...
