<p>We consider the classical trapped Riesz gas, i.e., <i>N</i> particles at positions <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq1.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(x_i\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>x</mi> <mi>i</mi> </msub> </math></EquationSource> </InlineEquation> in one dimension with a repulsive power law interacting potential <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq2.gif" Format="GIF" Height="21" Rendition="HTML" Resolution="72" Type="Linedraw" Width="105" /> </InlineMediaObject> <EquationSource Format="TEX">\(\propto 1/|x_i-x_j|^{k}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mrow> <mo>∝</mo> <mn>1</mn> <mo stretchy="false">/</mo> <mo stretchy="false">|</mo> </mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>x</mi> <mi>j</mi> </msub> <msup> <mrow> <mo stretchy="false">|</mo> </mrow> <mi>k</mi> </msup> </mrow> </math></EquationSource> </InlineEquation>, with <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq3.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="55" /> </InlineMediaObject> <EquationSource Format="TEX">\(k&gt;-2\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>k</mi> <mo>&gt;</mo> <mo>-</mo> <mn>2</mn> </mrow> </math></EquationSource> </InlineEquation>, in an external confining potential of the form <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq4.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="87" /> </InlineMediaObject> <EquationSource Format="TEX">\(V(x) \sim |x|^n\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>V</mi> <mrow> <mo stretchy="false">(</mo> <mi>x</mi> <mo stretchy="false">)</mo> </mrow> <mo>∼</mo> <msup> <mrow> <mo stretchy="false">|</mo> <mi>x</mi> <mo stretchy="false">|</mo> </mrow> <mi>n</mi> </msup> </mrow> </math></EquationSource> </InlineEquation>. We focus on the equilibrium Gibbs state of the gas, for which the density has a finite support <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq5.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="91" /> </InlineMediaObject> <EquationSource Format="TEX">\([-\ell _0/2,\ell _0/2]\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">[</mo> <mo>-</mo> <msub> <mi>ℓ</mi> <mn>0</mn> </msub> <mo stretchy="false">/</mo> <mn>2</mn> <mo>,</mo> <msub> <mi>ℓ</mi> <mn>0</mn> </msub> <mo stretchy="false">/</mo> <mn>2</mn> <mo stretchy="false">]</mo> </mrow> </math></EquationSource> </InlineEquation>. We study the fluctuations of the linear statistics <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq6.gif" Format="GIF" Height="23" Rendition="HTML" Resolution="72" Type="Linedraw" Width="124" /> </InlineMediaObject> <EquationSource Format="TEX">\({{\mathcal {L}}}_N = \sum _{i=1}^N f(x_i)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi mathvariant="script">L</mi> <mi>N</mi> </msub> <mo>=</mo> <msubsup> <mo>∑</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </msubsup> <mi>f</mi> <mrow> <mo stretchy="false">(</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> in the large <i>N</i> limit for smooth functions <i>f</i>(<i>x</i>). We obtain analytic formulae for the cumulants of <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq7.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="25" /> </InlineMediaObject> <EquationSource Format="TEX">\({{\mathcal {L}}}_N\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="script">L</mi> <mi>N</mi> </msub> </math></EquationSource> </InlineEquation> for general <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq8.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="55" /> </InlineMediaObject> <EquationSource Format="TEX">\(k&gt;-2\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>k</mi> <mo>&gt;</mo> <mo>-</mo> <mn>2</mn> </mrow> </math></EquationSource> </InlineEquation>. For long range interactions, i.e. <InlineEquation ID="IEq9"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq9.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="42" /> </InlineMediaObject> <EquationSource Format="TEX">\(k&lt;1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>k</mi> <mo>&lt;</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>, which include the log-gas (<InlineEquation ID="IEq10"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq10.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="46" /> </InlineMediaObject> <EquationSource Format="TEX">\(k \rightarrow 0\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>k</mi> <mo stretchy="false">→</mo> <mn>0</mn> </mrow> </math></EquationSource> </InlineEquation>) and the Coulomb gas (<InlineEquation ID="IEq11"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq11.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="54" /> </InlineMediaObject> <EquationSource Format="TEX">\(k =-1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>k</mi> <mo>=</mo> <mo>-</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>) these are obtained for monomials <InlineEquation ID="IEq12"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq12.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="87" /> </InlineMediaObject> <EquationSource Format="TEX">\(f(x)= |x|^m\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>f</mi> <mrow> <mo stretchy="false">(</mo> <mi>x</mi> <mo stretchy="false">)</mo> </mrow> <mo>=</mo> <msup> <mrow> <mo stretchy="false">|</mo> <mi>x</mi> <mo stretchy="false">|</mo> </mrow> <mi>m</mi> </msup> </mrow> </math></EquationSource> </InlineEquation>. For short range interactions, i.e. <InlineEquation ID="IEq13"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq13.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="42" /> </InlineMediaObject> <EquationSource Format="TEX">\(k&gt;1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>k</mi> <mo>&gt;</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>, which include the Calogero–Moser model, i.e. <InlineEquation ID="IEq14"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq14.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="41" /> </InlineMediaObject> <EquationSource Format="TEX">\(k=2\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>k</mi> <mo>=</mo> <mn>2</mn> </mrow> </math></EquationSource> </InlineEquation>, we compute the third cumulant of <InlineEquation ID="IEq15"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq15.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="25" /> </InlineMediaObject> <EquationSource Format="TEX">\({{\mathcal {L}}}_N\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="script">L</mi> <mi>N</mi> </msub> </math></EquationSource> </InlineEquation> for general <i>f</i>(<i>x</i>) and arbitrary cumulants for monomials <InlineEquation ID="IEq16"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq16.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="87" /> </InlineMediaObject> <EquationSource Format="TEX">\(f(x)= |x|^m\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>f</mi> <mrow> <mo stretchy="false">(</mo> <mi>x</mi> <mo stretchy="false">)</mo> </mrow> <mo>=</mo> <msup> <mrow> <mo stretchy="false">|</mo> <mi>x</mi> <mo stretchy="false">|</mo> </mrow> <mi>m</mi> </msup> </mrow> </math></EquationSource> </InlineEquation>. We also obtain the large deviation form of the probability distribution of <InlineEquation ID="IEq17"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq17.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="25" /> </InlineMediaObject> <EquationSource Format="TEX">\({{\mathcal {L}}}_N\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="script">L</mi> <mi>N</mi> </msub> </math></EquationSource> </InlineEquation>, which exhibits an “evaporation transition” where the fluctuation of <InlineEquation ID="IEq18"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq18.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="25" /> </InlineMediaObject> <EquationSource Format="TEX">\({{\mathcal {L}}}_N\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="script">L</mi> <mi>N</mi> </msub> </math></EquationSource> </InlineEquation> is dominated by the one of the largest <InlineEquation ID="IEq19"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq19.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(x_i\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>x</mi> <mi>i</mi> </msub> </math></EquationSource> </InlineEquation>. In addition, in the short range case, we extend our results to a (non-smooth) indicator function <i>f</i>(<i>x</i>), obtaining thereby the higher order cumulants for the full counting statistics of the number of particles in an interval <InlineEquation ID="IEq20"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq20.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="87" /> </InlineMediaObject> <EquationSource Format="TEX">\([-L/2,L/2]\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">[</mo> <mo>-</mo> <mi>L</mi> <mo stretchy="false">/</mo> <mn>2</mn> <mo>,</mo> <mi>L</mi> <mo stretchy="false">/</mo> <mn>2</mn> <mo stretchy="false">]</mo> </mrow> </math></EquationSource> </InlineEquation>. We show in particular that they exhibit an interesting scaling form as <i>L</i>/2 approaches the edge of the gas <InlineEquation ID="IEq21"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3429_Article_IEq21.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="70" /> </InlineMediaObject> <EquationSource Format="TEX">\(L/\ell _0 \rightarrow 1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>L</mi> <mo stretchy="false">/</mo> <msub> <mi>ℓ</mi> <mn>0</mn> </msub> <mo stretchy="false">→</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>, which we relate to the large deviations of the emptiness probability of the complementary interval on the real line.</p>

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Cumulants and Large Deviations for the Linear Statistics of the One-Dimensional Trapped Riesz Gas

  • Pierre Le Doussal,
  • Grégory Schehr

摘要

We consider the classical trapped Riesz gas, i.e., N particles at positions \(x_i\) x i in one dimension with a repulsive power law interacting potential \(\propto 1/|x_i-x_j|^{k}\) 1 / | x i - x j | k , with \(k>-2\) k > - 2 , in an external confining potential of the form \(V(x) \sim |x|^n\) V ( x ) | x | n . We focus on the equilibrium Gibbs state of the gas, for which the density has a finite support \([-\ell _0/2,\ell _0/2]\) [ - 0 / 2 , 0 / 2 ] . We study the fluctuations of the linear statistics \({{\mathcal {L}}}_N = \sum _{i=1}^N f(x_i)\) L N = i = 1 N f ( x i ) in the large N limit for smooth functions f(x). We obtain analytic formulae for the cumulants of \({{\mathcal {L}}}_N\) L N for general \(k>-2\) k > - 2 . For long range interactions, i.e. \(k<1\) k < 1 , which include the log-gas ( \(k \rightarrow 0\) k 0 ) and the Coulomb gas ( \(k =-1\) k = - 1 ) these are obtained for monomials \(f(x)= |x|^m\) f ( x ) = | x | m . For short range interactions, i.e. \(k>1\) k > 1 , which include the Calogero–Moser model, i.e. \(k=2\) k = 2 , we compute the third cumulant of \({{\mathcal {L}}}_N\) L N for general f(x) and arbitrary cumulants for monomials \(f(x)= |x|^m\) f ( x ) = | x | m . We also obtain the large deviation form of the probability distribution of \({{\mathcal {L}}}_N\) L N , which exhibits an “evaporation transition” where the fluctuation of \({{\mathcal {L}}}_N\) L N is dominated by the one of the largest \(x_i\) x i . In addition, in the short range case, we extend our results to a (non-smooth) indicator function f(x), obtaining thereby the higher order cumulants for the full counting statistics of the number of particles in an interval \([-L/2,L/2]\) [ - L / 2 , L / 2 ] . We show in particular that they exhibit an interesting scaling form as L/2 approaches the edge of the gas \(L/\ell _0 \rightarrow 1\) L / 0 1 , which we relate to the large deviations of the emptiness probability of the complementary interval on the real line.