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<titleInfo><title>On minimizing curves in a Brownian potential</title></titleInfo>


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<name type="personal">
  <namePart type="given">Felix</namePart>
  <namePart type="family">Otto</namePart>
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  <namePart type="given">Matteo</namePart>
  <namePart type="family">Palmieri</namePart>
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  <namePart type="given">Christian</namePart>
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<abstract lang="eng">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.</abstract>
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<originInfo><publisher>Springer Nature</publisher><dateIssued encoding="w3cdtf">2026</dateIssued>
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<relatedItem type="host"><titleInfo><title>Probability Theory and Related Fields</title></titleInfo>
  <identifier type="issn">0178-8051</identifier>
  <identifier type="eIssn">1432-2064</identifier><identifier type="doi">10.1007/s00440-026-01468-y</identifier>
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<ama>Otto F, Palmieri M, Wagner C. On minimizing curves in a Brownian potential. &lt;i&gt;Probability Theory and Related Fields&lt;/i&gt;. 2026. doi:&lt;a href=&quot;https://doi.org/10.1007/s00440-026-01468-y&quot;&gt;10.1007/s00440-026-01468-y&lt;/a&gt;</ama>
<short>F. Otto, M. Palmieri, C. Wagner, Probability Theory and Related Fields (2026).</short>
<ista>Otto F, Palmieri M, Wagner C. 2026. On minimizing curves in a Brownian potential. Probability Theory and Related Fields.</ista>
<mla>Otto, Felix, et al. “On Minimizing Curves in a Brownian Potential.” &lt;i&gt;Probability Theory and Related Fields&lt;/i&gt;, Springer Nature, 2026, doi:&lt;a href=&quot;https://doi.org/10.1007/s00440-026-01468-y&quot;&gt;10.1007/s00440-026-01468-y&lt;/a&gt;.</mla>
<ieee>F. Otto, M. Palmieri, and C. Wagner, “On minimizing curves in a Brownian potential,” &lt;i&gt;Probability Theory and Related Fields&lt;/i&gt;. Springer Nature, 2026.</ieee>
<apa>Otto, F., Palmieri, M., &amp;#38; Wagner, C. (2026). On minimizing curves in a Brownian potential. &lt;i&gt;Probability Theory and Related Fields&lt;/i&gt;. Springer Nature. &lt;a href=&quot;https://doi.org/10.1007/s00440-026-01468-y&quot;&gt;https://doi.org/10.1007/s00440-026-01468-y&lt;/a&gt;</apa>
<chicago>Otto, Felix, Matteo Palmieri, and Christian Wagner. “On Minimizing Curves in a Brownian Potential.” &lt;i&gt;Probability Theory and Related Fields&lt;/i&gt;. Springer Nature, 2026. &lt;a href=&quot;https://doi.org/10.1007/s00440-026-01468-y&quot;&gt;https://doi.org/10.1007/s00440-026-01468-y&lt;/a&gt;.</chicago>
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