Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 97 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 21 tok/s Pro
GPT-5 High 18 tok/s Pro
GPT-4o 92 tok/s Pro
GPT OSS 120B 468 tok/s Pro
Kimi K2 175 tok/s Pro
2000 character limit reached

Mosco convergence of gradient forms with non-convex potentials II (2408.15437v1)

Published 27 Aug 2024 in math.PR

Abstract: This article provides a scaling limit for a family of skew interacting Brownian motions in the context of mesoscopic interface models. Let $d\in\mathbb N$, $y_1,\dots,y_M\in\mathbb R$ and $f\in C_b(\mathbb R)$ be fixed. For each $N\in\mathbb N$ we consider a $k_N$-dimensional, skew reflecting distorted Brownian motion $(X{N,i}t){i=1,\dots,k_N}$, $t\geq 0$, and investigate the scaling limits for $N\to\infty$. The drift includes skew reflections at height levels $\tilde y_j:=N{1-\frac{d}{2}}y_j$ with intensities $\beta_j/Nd$ for $j=1,\dots,M$. The corresponding SDE is given by \begin{equation} d X{N,i}_t=-\big(A_N X{N}_t\big)_id t-\frac{1}{2}N{-\tfrac{d}{2}-1}\,f\big(N{\frac{d}{2}-1}X{N,i}_t\big)d t \+\sum_{j=1}M\tfrac{1-e{-\beta_j/Nd}}{1+e{-\beta_j/Nd}}d l_t{N,i, \tilde y_j} +d B_t{N,i}, \end{equation} where ${(B_t{N,i})}_{t\geq 0}$, $i=1,\dots, k_N$, are independent Brownian motions and $ l_t{N,i, \tilde y_j}$ denotes the local time of ${(X{N,i}t)}{t\geq 0}$ at $\tilde y_j$. We prove the weak convergence of the equilibrium laws of \begin{equation*} u_tN=\Lambda_N\circ X{N}_{N2t},\quad t\geq 0, \end{equation*} for $N\to\infty$, choosing suitable injective, linear maps $\Lambda_N:\mathbb R{k_N}\to {h\,|\,h:D\to\mathbb R}$. The scaling limit is a distorted Ornstein-Uhlenbeck process whose state space is the Hilbert space $H=L2(D, dz)$. We characterize a class of height maps, such that the scaling limit of the dynamic is not influenced by the particular choice of ${(\Lambda_N)}_{N\in\mathbb N}$ within that class.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com