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PreprintCC BY 4.0arXiv

Stochastic Homogenization of Schrödinger Equations with Exponentially Mixing Sub-Gaussian Potentials

Abstract

We study the stochastic Schrödinger equation $ i\partial_t u_{\varepsilon} = H_{\varepsilon} u_{\varepsilon} $ with $ H_{\varepsilon} = -Δ+ V(x/\varepsilon) $, where V is a stationary ergodic sub-Gaussian field with exponential mixing. We establish the optimal algebraic error rate $ \varepsilon^{d/2} $ in $ L^2(Ω; L^2_x) $ for every $ d\ge1 $, prove it sharp by a matching lower bound when $ \widehat{R}(0)>0 $, and upgrade the convergence of Zhang--Bal from convergence in probability to almost sure convergence. We further establish a Gaussian fluctuation central limit theorem with explicit covariance. The limiting fluctuation satisfies $ i\partial_t \mathcal{G} = (-Δ+ \bar{V})\mathcal{G} + \sqrt{\widehat R(0)}\,\dot W(t,x) $, a linear random Schrödinger equation driven by additive space-time white noise, where $ \bar{V} = \mathbb{E}[V] $ is the effective potential.

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BibTeX
@misc{meng2026stochastic,
  title = {{Stochastic Homogenization of Schrödinger Equations with Exponentially Mixing Sub-Gaussian Potentials}},
  author = {Fanfei Meng},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.03014},
  eprint = {2611.03014},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.03014},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Stochastic Homogenization of Schrödinger Equations with Exponentially Mixing Sub-Gaussian Potentials
AU  - Fanfei Meng
PY  - 2026
DA  - 2026/11/02
PB  - arXiv
DO  - 10.48550/arxiv.2611.03014
UR  - https://arxiv.org/abs/2611.03014
AB  - We study the stochastic Schrödinger equation $ i\partial_t u_{\varepsilon} = H_{\varepsilon} u_{\varepsilon} $ with $ H_{\varepsilon} = -Δ+ V(x/\varepsilon) $, where V is a stationary ergodic sub-Gaussian field with exponential mixing. We establish the optimal algebraic error rate $ \varepsilon^{d/2} $ in $ L^2(Ω; L^2_x) $ for every $ d\ge1 $, prove it sharp by a matching lower bound when $ \widehat{R}(0)>0 $, and upgrade the convergence of Zhang--Bal from convergence in probability to almost sure convergence. We further establish a Gaussian fluctuation central limit theorem with explicit covariance. The limiting fluctuation satisfies $ i\partial_t \mathcal{G} = (-Δ+ \bar{V})\mathcal{G} + \sqrt{\widehat R(0)}\,\dot W(t,x) $, a linear random Schrödinger equation driven by additive space-time white noise, where $ \bar{V} = \mathbb{E}[V] $ is the effective potential.
ER  -