<p>This article provides a scaling limit for a family of skew interacting Brownian motions in the context of mesoscopic interface models. Let <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq1.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="68" /> </InlineMediaObject> <EquationSource Format="TEX">\(M,d\in \mathbb {N}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>M</mi> <mo>,</mo> <mi>d</mi> <mo>∈</mo> <mi mathvariant="double-struck">N</mi> </mrow> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq2.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="108" /> </InlineMediaObject> <EquationSource Format="TEX">\(y_1,\dots ,y_M\in \mathbb {R}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>y</mi> <mn>1</mn> </msub> <mo>,</mo> <mo>⋯</mo> <mo>,</mo> <msub> <mi>y</mi> <mi>M</mi> </msub> <mo>∈</mo> <mi mathvariant="double-struck">R</mi> </mrow> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq3.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="74" /> </InlineMediaObject> <EquationSource Format="TEX">\(f\in C_b(\mathbb {R})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>f</mi> <mo>∈</mo> <msub> <mi>C</mi> <mi>b</mi> </msub> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="double-struck">R</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation>. For <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq4.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="50" /> </InlineMediaObject> <EquationSource Format="TEX">\(N\in \mathbb {N}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>N</mi> <mo>∈</mo> <mi mathvariant="double-struck">N</mi> </mrow> </math></EquationSource> </InlineEquation> we consider a <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq5.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\(k_N\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>k</mi> <mi>N</mi> </msub> </math></EquationSource> </InlineEquation>-dimensional, skew reflecting distorted Brownian motion <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq6.gif" Format="GIF" Height="24" Rendition="HTML" Resolution="72" Type="Linedraw" Width="98" /> </InlineMediaObject> <EquationSource Format="TEX">\((X^{N,i}_t)_{i=1,\dots ,k_N}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mrow> <mo stretchy="false">(</mo> <msubsup> <mi>X</mi> <mi>t</mi> <mrow> <mi>N</mi> <mo>,</mo> <mi>i</mi> </mrow> </msubsup> <mo stretchy="false">)</mo> </mrow> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo>⋯</mo> <mo>,</mo> <msub> <mi>k</mi> <mi>N</mi> </msub> </mrow> </msub> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq7.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="39" /> </InlineMediaObject> <EquationSource Format="TEX">\(t\ge 0\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>t</mi> <mo>≥</mo> <mn>0</mn> </mrow> </math></EquationSource> </InlineEquation>, and investigate its scaling limit for <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq8.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="63" /> </InlineMediaObject> <EquationSource Format="TEX">\(N\rightarrow \infty \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>N</mi> <mo stretchy="false">→</mo> <mi>∞</mi> </mrow> </math></EquationSource> </InlineEquation>. The drift includes skew reflections at height levels <InlineEquation ID="IEq9"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq9.gif" Format="GIF" Height="25" Rendition="HTML" Resolution="72" Type="Linedraw" Width="97" /> </InlineMediaObject> <EquationSource Format="TEX">\(\tilde{y}_j:=N^{1-\frac{d}{2}}y_j\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mover accent="true"> <mi>y</mi> <mo stretchy="false">~</mo> </mover> <mi>j</mi> </msub> <mo>:</mo> <mo>=</mo> <msup> <mi>N</mi> <mrow> <mn>1</mn> <mo>-</mo> <mfrac> <mi>d</mi> <mn>2</mn> </mfrac> </mrow> </msup> <msub> <mi>y</mi> <mi>j</mi> </msub> </mrow> </math></EquationSource> </InlineEquation> with intensities <InlineEquation ID="IEq10"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq10.gif" Format="GIF" Height="21" Rendition="HTML" Resolution="72" Type="Linedraw" Width="49" /> </InlineMediaObject> <EquationSource Format="TEX">\(\beta _j/N^d\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>β</mi> <mi>j</mi> </msub> <mo stretchy="false">/</mo> <msup> <mi>N</mi> <mi>d</mi> </msup> </mrow> </math></EquationSource> </InlineEquation> for <InlineEquation ID="IEq11"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq11.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="98" /> </InlineMediaObject> <EquationSource Format="TEX">\(j=1,\dots ,M\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo>⋯</mo> <mo>,</mo> <mi>M</mi> </mrow> </math></EquationSource> </InlineEquation>. The corresponding SDE is given by <Equation ID="Equ6"> <MediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_Equ6.gif" Format="GIF" Height="94" Rendition="HTML" Resolution="72" Type="Linedraw" Width="630" /> </MediaObject> <EquationSource Format="TEX">\(\begin{aligned}&amp;\text {d} X^{N,i}_t=-\big (A_N X^{N}_t\big )_i\,\text {d} t-\frac{1}{2}N^{-\tfrac{d}{2}-1}\,f\big (N^{\frac{d}{2}-1}X^{N,i}_t\big )\,\text {d} t \\&amp;\qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \quad +\sum _{j=1}^M\tfrac{1-e^{-\beta _j/N^d}}{1+e^{-\beta _j/N^d}}\,\text {d} l_t^{N,i, \tilde{y}_j} +\text {d} B_t^{N,i}, \end{aligned}\)</EquationSource> <EquationSource Format="MATHML"><math display="block"> <mrow> <mtable> <mtr> <mtd /> <mtd columnalign="left"> <mrow> <mtext>d</mtext> <msubsup> <mi>X</mi> <mi>t</mi> <mrow> <mi>N</mi> <mo>,</mo> <mi>i</mi> </mrow> </msubsup> <mo>=</mo> <mo>-</mo> <mrow> <mo maxsize="1.2em" minsize="1.2em" stretchy="true">(</mo> </mrow> <msub> <mi>A</mi> <mi>N</mi> </msub> <msubsup> <mi>X</mi> <mi>t</mi> <mi>N</mi> </msubsup> <msub> <mrow> <mo maxsize="1.2em" minsize="1.2em" stretchy="true">)</mo> </mrow> <mi>i</mi> </msub> <mspace width="0.166667em" /> <mtext>d</mtext> <mi>t</mi> <mo>-</mo> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> <msup> <mi>N</mi> <mrow> <mo>-</mo> <mstyle displaystyle="false" scriptlevel="0"> <mfrac> <mi>d</mi> <mn>2</mn> </mfrac> </mstyle> <mo>-</mo> <mn>1</mn> </mrow> </msup> <mspace width="0.166667em" /> <mi>f</mi> <mrow> <mo maxsize="1.2em" minsize="1.2em" stretchy="true">(</mo> </mrow> <msup> <mi>N</mi> <mrow> <mfrac> <mi>d</mi> <mn>2</mn> </mfrac> <mo>-</mo> <mn>1</mn> </mrow> </msup> <msubsup> <mi>X</mi> <mi>t</mi> <mrow> <mi>N</mi> <mo>,</mo> <mi>i</mi> </mrow> </msubsup> <mrow> <mo maxsize="1.2em" minsize="1.2em" stretchy="true">)</mo> </mrow> <mspace width="0.166667em" /> <mtext>d</mtext> <mi>t</mi> </mrow> </mtd> </mtr> <mtr> <mtd columnalign="right"> <mrow /> </mtd> <mtd columnalign="left"> <mrow> <mspace width="2em" /> <mspace width="2em" /> <mspace width="2em" /> <mspace width="2em" /> <mspace width="2em" /> <mspace width="2em" /> <mspace width="2em" /> <mspace width="2em" /> <mspace width="2em" /> <mspace width="2em" /> <mspace width="2em" /> <mspace width="2em" /> <mspace width="1em" /> <mo>+</mo> <munderover> <mo>∑</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>M</mi> </munderover> <mstyle displaystyle="false" scriptlevel="0"> <mfrac> <mrow> <mn>1</mn> <mo>-</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <msub> <mi>β</mi> <mi>j</mi> </msub> <mo stretchy="false">/</mo> <msup> <mi>N</mi> <mi>d</mi> </msup> </mrow> </msup> </mrow> <mrow> <mn>1</mn> <mo>+</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <msub> <mi>β</mi> <mi>j</mi> </msub> <mo stretchy="false">/</mo> <msup> <mi>N</mi> <mi>d</mi> </msup> </mrow> </msup> </mrow> </mfrac> </mstyle> <mspace width="0.166667em" /> <mtext>d</mtext> <msubsup> <mi>l</mi> <mi>t</mi> <mrow> <mi>N</mi> <mo>,</mo> <mi>i</mi> <mo>,</mo> <msub> <mover accent="true"> <mi>y</mi> <mo stretchy="false">~</mo> </mover> <mi>j</mi> </msub> </mrow> </msubsup> <mo>+</mo> <mtext>d</mtext> <msubsup> <mi>B</mi> <mi>t</mi> <mrow> <mi>N</mi> <mo>,</mo> <mi>i</mi> </mrow> </msubsup> <mo>,</mo> </mrow> </mtd> </mtr> </mtable> </mrow> </math></EquationSource> </Equation>where <InlineEquation ID="IEq12"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq12.gif" Format="GIF" Height="25" Rendition="HTML" Resolution="72" Type="Linedraw" Width="65" /> </InlineMediaObject> <EquationSource Format="TEX">\({(B_t^{N,i})}_{t\ge 0}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mrow> <mo stretchy="false">(</mo> <msubsup> <mi>B</mi> <mi>t</mi> <mrow> <mi>N</mi> <mo>,</mo> <mi>i</mi> </mrow> </msubsup> <mo stretchy="false">)</mo> </mrow> <mrow> <mi>t</mi> <mo>≥</mo> <mn>0</mn> </mrow> </msub> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq13"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq13.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="95" /> </InlineMediaObject> <EquationSource Format="TEX">\(i=1,\dots , k_N\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo>⋯</mo> <mo>,</mo> <msub> <mi>k</mi> <mi>N</mi> </msub> </mrow> </math></EquationSource> </InlineEquation>, are independent Brownian motions, <InlineEquation ID="IEq14"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq14.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="98" /> </InlineMediaObject> <EquationSource Format="TEX">\(A_N\in \mathbb {R}^{k_N\times k_N}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>A</mi> <mi>N</mi> </msub> <mo>∈</mo> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mrow> <msub> <mi>k</mi> <mi>N</mi> </msub> <mo>×</mo> <msub> <mi>k</mi> <mi>N</mi> </msub> </mrow> </msup> </mrow> </math></EquationSource> </InlineEquation> is symmetric positive definite and <InlineEquation ID="IEq15"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq15.gif" Format="GIF" Height="25" Rendition="HTML" Resolution="72" Type="Linedraw" Width="39" /> </InlineMediaObject> <EquationSource Format="TEX">\( l_t^{N,i, \tilde{y}_j}\)</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mi>l</mi> <mi>t</mi> <mrow> <mi>N</mi> <mo>,</mo> <mi>i</mi> <mo>,</mo> <msub> <mover accent="true"> <mi>y</mi> <mo stretchy="false">~</mo> </mover> <mi>j</mi> </msub> </mrow> </msubsup> </math></EquationSource> </InlineEquation> denotes the local time of <InlineEquation ID="IEq16"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq16.gif" Format="GIF" Height="25" Rendition="HTML" Resolution="72" Type="Linedraw" Width="66" /> </InlineMediaObject> <EquationSource Format="TEX">\({(X^{N,i}_t)}_{t\ge 0}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mrow> <mo stretchy="false">(</mo> <msubsup> <mi>X</mi> <mi>t</mi> <mrow> <mi>N</mi> <mo>,</mo> <mi>i</mi> </mrow> </msubsup> <mo stretchy="false">)</mo> </mrow> <mrow> <mi>t</mi> <mo>≥</mo> <mn>0</mn> </mrow> </msub> </math></EquationSource> </InlineEquation> at <InlineEquation ID="IEq17"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq17.gif" Format="GIF" Height="18" Rendition="HTML" Resolution="72" Type="Linedraw" Width="18" /> </InlineMediaObject> <EquationSource Format="TEX">\(\tilde{y}_j\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mover accent="true"> <mi>y</mi> <mo stretchy="false">~</mo> </mover> <mi>j</mi> </msub> </math></EquationSource> </InlineEquation>. We prove the weak convergence of the equilibrium laws of <Equation ID="Equ7"> <MediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_Equ7.gif" Format="GIF" Height="23" Rendition="HTML" Resolution="72" Type="Linedraw" Width="183" /> </MediaObject> <EquationSource Format="TEX">\(\begin{aligned} u_{t}^{N}=\Lambda _{N}\circ X^{N}_{N^2t},\quad t\ge 0, \end{aligned}\)</EquationSource> <EquationSource Format="MATHML"><math display="block"> <mrow> <mtable> <mtr> <mtd columnalign="right"> <mrow> <msubsup> <mi>u</mi> <mrow> <mi>t</mi> </mrow> <mi>N</mi> </msubsup> <mo>=</mo> <msub> <mi mathvariant="normal">Λ</mi> <mi>N</mi> </msub> <mo>∘</mo> <msubsup> <mi>X</mi> <mrow> <msup> <mi>N</mi> <mn>2</mn> </msup> <mi>t</mi> </mrow> <mi>N</mi> </msubsup> <mo>,</mo> <mspace width="1em" /> <mi>t</mi> <mo>≥</mo> <mn>0</mn> <mo>,</mo> </mrow> </mtd> </mtr> </mtable> </mrow> </math></EquationSource> </Equation>for <InlineEquation ID="IEq18"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq8.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="63" /> </InlineMediaObject> <EquationSource Format="TEX">\(N\rightarrow \infty \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>N</mi> <mo stretchy="false">→</mo> <mi>∞</mi> </mrow> </math></EquationSource> </InlineEquation>, choosing suitable injective, linear maps <InlineEquation ID="IEq19"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq19.gif" Format="GIF" Height="21" Rendition="HTML" Resolution="72" Type="Linedraw" Width="247" /> </InlineMediaObject> <EquationSource Format="TEX">\(\Lambda _{N}:{\mathbb {R}}^{k_N}\rightarrow \{h\,|\,h:{\mathbb {R}}^d\supset D\rightarrow {\mathbb {R}}\}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi mathvariant="normal">Λ</mi> <mi>N</mi> </msub> <mo>:</mo> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <msub> <mi>k</mi> <mi>N</mi> </msub> </msup> <mo stretchy="false">→</mo> <mrow> <mo stretchy="false">{</mo> <mi>h</mi> <mspace width="0.166667em" /> <mo stretchy="false">|</mo> <mspace width="0.166667em" /> <mi>h</mi> <mo>:</mo> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mi>d</mi> </msup> <mo>⊃</mo> <mi>D</mi> <mo stretchy="false">→</mo> <mi mathvariant="double-struck">R</mi> <mo stretchy="false">}</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation>, where <i>D</i> is an open domain. The scaling limit is a distorted Ornstein–Uhlenbeck process whose state space is the Hilbert space <InlineEquation ID="IEq20"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq20.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="109" /> </InlineMediaObject> <EquationSource Format="TEX">\(H=L^2(D,\text {d} z)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>H</mi> <mo>=</mo> <msup> <mi>L</mi> <mn>2</mn> </msup> <mrow> <mo stretchy="false">(</mo> <mi>D</mi> <mo>,</mo> <mtext>d</mtext> <mi>z</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation>. We characterize a class of height maps, such that the scaling limit of the dynamic is not influenced by the particular choice of <InlineEquation ID="IEq21"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11118_2025_10216_Article_IEq21.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="63" /> </InlineMediaObject> <EquationSource Format="TEX">\({(\Lambda _{N})}_{N\in {\mathbb {N}}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mrow> <mo stretchy="false">(</mo> <msub> <mi mathvariant="normal">Λ</mi> <mi>N</mi> </msub> <mo stretchy="false">)</mo> </mrow> <mrow> <mi>N</mi> <mo>∈</mo> <mi mathvariant="double-struck">N</mi> </mrow> </msub> </math></EquationSource> </InlineEquation> within that class.</p>

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Mosco convergence of gradient forms with non-convex potentials II

  • Martin Grothaus,
  • Simon Wittmann

摘要

This article provides a scaling limit for a family of skew interacting Brownian motions in the context of mesoscopic interface models. Let \(M,d\in \mathbb {N}\) M , d N , \(y_1,\dots ,y_M\in \mathbb {R}\) y 1 , , y M R , \(f\in C_b(\mathbb {R})\) f C b ( R ) . For \(N\in \mathbb {N}\) N N we consider a \(k_N\) k N -dimensional, skew reflecting distorted Brownian motion \((X^{N,i}_t)_{i=1,\dots ,k_N}\) ( X t N , i ) i = 1 , , k N , \(t\ge 0\) t 0 , and investigate its scaling limit for \(N\rightarrow \infty \) N . The drift includes skew reflections at height levels \(\tilde{y}_j:=N^{1-\frac{d}{2}}y_j\) y ~ j : = N 1 - d 2 y j with intensities \(\beta _j/N^d\) β j / N d for \(j=1,\dots ,M\) j = 1 , , M . The corresponding SDE is given by \(\begin{aligned}&\text {d} X^{N,i}_t=-\big (A_N X^{N}_t\big )_i\,\text {d} t-\frac{1}{2}N^{-\tfrac{d}{2}-1}\,f\big (N^{\frac{d}{2}-1}X^{N,i}_t\big )\,\text {d} t \\&\qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \quad +\sum _{j=1}^M\tfrac{1-e^{-\beta _j/N^d}}{1+e^{-\beta _j/N^d}}\,\text {d} l_t^{N,i, \tilde{y}_j} +\text {d} B_t^{N,i}, \end{aligned}\) d X t N , i = - ( A N X t N ) i d t - 1 2 N - d 2 - 1 f ( N d 2 - 1 X t N , i ) d t + j = 1 M 1 - e - β j / N d 1 + e - β j / N d d l t N , i , y ~ j + d B t N , i , where \({(B_t^{N,i})}_{t\ge 0}\) ( B t N , i ) t 0 , \(i=1,\dots , k_N\) i = 1 , , k N , are independent Brownian motions, \(A_N\in \mathbb {R}^{k_N\times k_N}\) A N R k N × k N is symmetric positive definite and \( l_t^{N,i, \tilde{y}_j}\) l t N , i , y ~ j denotes the local time of \({(X^{N,i}_t)}_{t\ge 0}\) ( X t N , i ) t 0 at \(\tilde{y}_j\) y ~ j . We prove the weak convergence of the equilibrium laws of \(\begin{aligned} u_{t}^{N}=\Lambda _{N}\circ X^{N}_{N^2t},\quad t\ge 0, \end{aligned}\) u t N = Λ N X N 2 t N , t 0 , for \(N\rightarrow \infty \) N , choosing suitable injective, linear maps \(\Lambda _{N}:{\mathbb {R}}^{k_N}\rightarrow \{h\,|\,h:{\mathbb {R}}^d\supset D\rightarrow {\mathbb {R}}\}\) Λ N : R k N { h | h : R d D R } , where D is an open domain. The scaling limit is a distorted Ornstein–Uhlenbeck process whose state space is the Hilbert space \(H=L^2(D,\text {d} z)\) H = L 2 ( D , d z ) . We characterize a class of height maps, such that the scaling limit of the dynamic is not influenced by the particular choice of \({(\Lambda _{N})}_{N\in {\mathbb {N}}}\) ( Λ N ) N N within that class.