---
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'
date_created: 2023-06-11T22:00:40Z
date_published: 2024-08-01T00:00:00Z
date_updated: 2025-01-09T07:37:50Z
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
  file_size: 1454406
  relation: main_file
  success: 1
file_date_updated: 2025-01-09T07:36:57Z
has_accepted_license: '1'
intvolume: '        24'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
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'
scopus_import: '1'
status: public
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
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'
date_created: 2024-01-14T23:00:57Z
date_published: 2024-10-01T00:00:00Z
date_updated: 2025-09-04T11:43:43Z
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
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'
scopus_import: '1'
status: public
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'
...
---
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'
date_created: 2024-08-25T22:01:08Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2025-09-08T09:01:00Z
day: '01'
department:
- _id: JuFi
doi: 10.1137/23M1603819
ec_funded: 1
external_id:
  arxiv:
  - '2309.06798'
  isi:
  - '001285416500001'
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'
scopus_import: '1'
status: public
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: '10173'
abstract:
- lang: eng
  text: We study the large scale behavior of elliptic systems with stationary random
    coefficient that have only slowly decaying correlations. To this aim we analyze
    the so-called corrector equation, a degenerate elliptic equation posed in the
    probability space. In this contribution, we use a parabolic approach and optimally
    quantify the time decay of the semigroup. For the theoretical point of view, we
    prove an optimal decay estimate of the gradient and flux of the corrector when
    spatially averaged over a scale R larger than 1. For the numerical point of view,
    our results provide convenient tools for the analysis of various numerical methods.
acknowledgement: "I would like to thank my advisor Antoine Gloria for suggesting this
  problem to me, as well for many interesting discussions and suggestions.\r\nOpen
  access funding provided by Institute of Science and Technology (IST Austria)."
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Nicolas
  full_name: Clozeau, Nicolas
  id: fea1b376-906f-11eb-847d-b2c0cf46455b
  last_name: Clozeau
citation:
  ama: 'Clozeau N. Optimal decay of the parabolic semigroup in stochastic homogenization 
    for correlated coefficient fields. <i>Stochastics and Partial Differential Equations:
    Analysis and Computations</i>. 2023;11:1254–1378. doi:<a href="https://doi.org/10.1007/s40072-022-00254-w">10.1007/s40072-022-00254-w</a>'
  apa: 'Clozeau, N. (2023). Optimal decay of the parabolic semigroup in stochastic
    homogenization  for correlated coefficient fields. <i>Stochastics and Partial
    Differential Equations: Analysis and Computations</i>. Springer Nature. <a href="https://doi.org/10.1007/s40072-022-00254-w">https://doi.org/10.1007/s40072-022-00254-w</a>'
  chicago: 'Clozeau, Nicolas. “Optimal Decay of the Parabolic Semigroup in Stochastic
    Homogenization  for Correlated Coefficient Fields.” <i>Stochastics and Partial
    Differential Equations: Analysis and Computations</i>. Springer Nature, 2023.
    <a href="https://doi.org/10.1007/s40072-022-00254-w">https://doi.org/10.1007/s40072-022-00254-w</a>.'
  ieee: 'N. Clozeau, “Optimal decay of the parabolic semigroup in stochastic homogenization 
    for correlated coefficient fields,” <i>Stochastics and Partial Differential Equations:
    Analysis and Computations</i>, vol. 11. Springer Nature, pp. 1254–1378, 2023.'
  ista: 'Clozeau N. 2023. Optimal decay of the parabolic semigroup in stochastic homogenization 
    for correlated coefficient fields. Stochastics and Partial Differential Equations:
    Analysis and Computations. 11, 1254–1378.'
  mla: 'Clozeau, Nicolas. “Optimal Decay of the Parabolic Semigroup in Stochastic
    Homogenization  for Correlated Coefficient Fields.” <i>Stochastics and Partial
    Differential Equations: Analysis and Computations</i>, vol. 11, Springer Nature,
    2023, pp. 1254–1378, doi:<a href="https://doi.org/10.1007/s40072-022-00254-w">10.1007/s40072-022-00254-w</a>.'
  short: 'N. Clozeau, Stochastics and Partial Differential Equations: Analysis and
    Computations 11 (2023) 1254–1378.'
corr_author: '1'
date_created: 2021-10-23T10:50:22Z
date_published: 2023-09-01T00:00:00Z
date_updated: 2024-10-09T21:01:04Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1007/s40072-022-00254-w
external_id:
  arxiv:
  - '2102.07452'
  isi:
  - '000799715600001'
file:
- access_level: open_access
  checksum: f83dcaecdbd3ace862c4ed97a20e8501
  content_type: application/pdf
  creator: dernst
  date_created: 2023-08-14T11:51:04Z
  date_updated: 2023-08-14T11:51:04Z
  file_id: '14052'
  file_name: 2023_StochPartialDiffEquations_Clozeau.pdf
  file_size: 1635193
  relation: main_file
  success: 1
file_date_updated: 2023-08-14T11:51:04Z
has_accepted_license: '1'
intvolume: '        11'
isi: 1
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 1254–1378
publication: 'Stochastics and Partial Differential Equations: Analysis and Computations'
publication_identifier:
  issn:
  - 2194-0401
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Optimal decay of the parabolic semigroup in stochastic homogenization  for
  correlated coefficient fields
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: 11
year: '2023'
...
---
OA_type: green
_id: '10174'
abstract:
- lang: eng
  text: Quantitative stochastic homogenization of linear elliptic operators is by
    now well-understood. In this contribution we move forward to the nonlinear setting
    of monotone operators with p-growth. This first work is dedicated to a quantitative
    two-scale expansion result. Fluctuations will be addressed in companion articles.
    By treating the range of exponents 2≤p<∞ in dimensions d≤3, we are able to consider
    genuinely nonlinear elliptic equations and systems such as −∇⋅A(x)(1+|∇u|p−2)∇u=f
    (with A random, non-necessarily symmetric) for the first time. When going from
    p=2 to p>2, the main difficulty is to analyze the associated linearized operator,
    whose coefficients are degenerate, unbounded, and depend on the random input A
    via the solution of a nonlinear equation. One of our main achievements is the
    control of this intricate nonlinear dependence, leading to annealed Meyers' estimates
    for the linearized operator, which are key to the quantitative two-scale expansion
    result.
acknowledgement: The authors warmly thank Mitia Duerinckx for discussions on annealed
  estimates, and Mathias Schäffner for pointing out that the conditions of [14] apply
  to  ̄a in the setting of Theorem 2.2 and for discussions on regularity theory for
  operators with non-standard growth conditions. The authors received financial support
  from the European Research Council (ERC) under the European Union’s Horizon 2020
  research and innovation programme (Grant Agreement n◦ 864066).
article_number: '67'
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: Antoine
  full_name: Gloria, Antoine
  last_name: Gloria
citation:
  ama: 'Clozeau N, Gloria A. Quantitative nonlinear homogenization: Control of oscillations.
    <i>Archive for Rational Mechanics and Analysis </i>. 247(4). doi:<a href="https://doi.org/10.1007/s00205-023-01895-4">10.1007/s00205-023-01895-4</a>'
  apa: 'Clozeau, N., &#38; Gloria, A. (n.d.). Quantitative nonlinear homogenization:
    Control of oscillations. <i>Archive for Rational Mechanics and Analysis </i>.
    Springer Nature. <a href="https://doi.org/10.1007/s00205-023-01895-4">https://doi.org/10.1007/s00205-023-01895-4</a>'
  chicago: 'Clozeau, Nicolas, and Antoine Gloria. “Quantitative Nonlinear Homogenization:
    Control of Oscillations.” <i>Archive for Rational Mechanics and Analysis </i>.
    Springer Nature, n.d. <a href="https://doi.org/10.1007/s00205-023-01895-4">https://doi.org/10.1007/s00205-023-01895-4</a>.'
  ieee: 'N. Clozeau and A. Gloria, “Quantitative nonlinear homogenization: Control
    of oscillations,” <i>Archive for Rational Mechanics and Analysis </i>, vol. 247,
    no. 4. Springer Nature.'
  ista: 'Clozeau N, Gloria A. Quantitative nonlinear homogenization: Control of oscillations.
    Archive for Rational Mechanics and Analysis . 247(4), 67.'
  mla: 'Clozeau, Nicolas, and Antoine Gloria. “Quantitative Nonlinear Homogenization:
    Control of Oscillations.” <i>Archive for Rational Mechanics and Analysis </i>,
    vol. 247, no. 4, 67, Springer Nature, doi:<a href="https://doi.org/10.1007/s00205-023-01895-4">10.1007/s00205-023-01895-4</a>.'
  short: N. Clozeau, A. Gloria, Archive for Rational Mechanics and Analysis  247 (n.d.).
date_created: 2021-10-23T10:50:55Z
date_published: 2023-07-16T00:00:00Z
date_updated: 2025-01-20T14:44:10Z
day: '16'
doi: 10.1007/s00205-023-01895-4
extern: '1'
external_id:
  arxiv:
  - '2104.04263'
intvolume: '       247'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2104.04263
month: '07'
oa: 1
oa_version: Preprint
publication: 'Archive for Rational Mechanics and Analysis '
publication_identifier:
  eissn:
  - 1432-0673
  issn:
  - 0003-9527
publication_status: draft
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Quantitative nonlinear homogenization: Control of oscillations'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 247
year: '2023'
...
---
_id: '10175'
abstract:
- lang: eng
  text: We study periodic homogenization by Γ-convergence of integral functionals
    with integrands W(x,ξ) having no polynomial growth and which are both not necessarily
    continuous with respect to the space variable and not necessarily convex with
    respect to the matrix variable. This allows to deal with homogenization of composite
    hyperelastic materials consisting of two or more periodic components whose the
    energy densities tend to infinity as the volume of matter tends to zero, i.e.,
    W(x,ξ)=∑j∈J1Vj(x)Hj(ξ) where {Vj}j∈J is a finite family of open disjoint subsets
    of RN, with |∂Vj|=0 for all j∈J and ∣∣RN∖⋃j∈JVj|=0, and, for each j∈J, Hj(ξ)→∞
    as detξ→0. In fact, our results apply to integrands of type W(x,ξ)=a(x)H(ξ) when
    H(ξ)→∞ as detξ→0 and a∈L∞(RN;[0,∞[) is 1-periodic and is either continuous almost
    everywhere or not continuous. When a is not continuous, we obtain a density homogenization
    formula which is a priori different from the classical one by Braides–Müller.
    Although applications to hyperelasticity are limited due to the fact that our
    framework is not consistent with the constraint of noninterpenetration of the
    matter, our results can be of technical interest to analysis of homogenization
    of integral functionals.
article_processing_charge: No
article_type: original
author:
- first_name: Omar
  full_name: Anza Hafsa, Omar
  last_name: Anza Hafsa
- first_name: Nicolas
  full_name: Clozeau, Nicolas
  id: fea1b376-906f-11eb-847d-b2c0cf46455b
  last_name: Clozeau
- first_name: Jean-Philippe
  full_name: Mandallena, Jean-Philippe
  last_name: Mandallena
citation:
  ama: Anza Hafsa O, Clozeau N, Mandallena J-P. Homogenization of nonconvex unbounded
    singular integrals. <i>Annales mathématiques Blaise Pascal</i>. 2017;24(2):135-193.
    doi:<a href="https://doi.org/10.5802/ambp.367">10.5802/ambp.367</a>
  apa: Anza Hafsa, O., Clozeau, N., &#38; Mandallena, J.-P. (2017). Homogenization
    of nonconvex unbounded singular integrals. <i>Annales Mathématiques Blaise Pascal</i>.
    Université Clermont Auvergne. <a href="https://doi.org/10.5802/ambp.367">https://doi.org/10.5802/ambp.367</a>
  chicago: Anza Hafsa, Omar, Nicolas Clozeau, and Jean-Philippe Mandallena. “Homogenization
    of Nonconvex Unbounded Singular Integrals.” <i>Annales Mathématiques Blaise Pascal</i>.
    Université Clermont Auvergne, 2017. <a href="https://doi.org/10.5802/ambp.367">https://doi.org/10.5802/ambp.367</a>.
  ieee: O. Anza Hafsa, N. Clozeau, and J.-P. Mandallena, “Homogenization of nonconvex
    unbounded singular integrals,” <i>Annales mathématiques Blaise Pascal</i>, vol.
    24, no. 2. Université Clermont Auvergne, pp. 135–193, 2017.
  ista: Anza Hafsa O, Clozeau N, Mandallena J-P. 2017. Homogenization of nonconvex
    unbounded singular integrals. Annales mathématiques Blaise Pascal. 24(2), 135–193.
  mla: Anza Hafsa, Omar, et al. “Homogenization of Nonconvex Unbounded Singular Integrals.”
    <i>Annales Mathématiques Blaise Pascal</i>, vol. 24, no. 2, Université Clermont
    Auvergne, 2017, pp. 135–93, doi:<a href="https://doi.org/10.5802/ambp.367">10.5802/ambp.367</a>.
  short: O. Anza Hafsa, N. Clozeau, J.-P. Mandallena, Annales Mathématiques Blaise
    Pascal 24 (2017) 135–193.
date_created: 2021-10-23T10:54:23Z
date_published: 2017-11-20T00:00:00Z
date_updated: 2021-10-28T15:16:25Z
day: '20'
ddc:
- '510'
doi: 10.5802/ambp.367
extern: '1'
file:
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  checksum: 18f40d13dc5d1e24438260b1875b886f
  content_type: application/pdf
  creator: cziletti
  date_created: 2021-10-28T15:02:56Z
  date_updated: 2021-10-28T15:02:56Z
  file_id: '10194'
  file_name: 2017_AMBP_AnzaHafsa.pdf
  file_size: 850726
  relation: main_file
  success: 1
file_date_updated: 2021-10-28T15:02:56Z
has_accepted_license: '1'
intvolume: '        24'
issue: '2'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nd/3.0/
month: '11'
oa: 1
oa_version: Published Version
page: 135-193
publication: Annales mathématiques Blaise Pascal
publication_identifier:
  eissn:
  - 2118-7436
  issn:
  - 1259-1734
publication_status: published
publisher: Université Clermont Auvergne
quality_controlled: '1'
status: public
title: Homogenization of nonconvex unbounded singular integrals
tmp:
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  name: Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)
  short: CC BY-ND (3.0)
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volume: 24
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...
