<p>We consider two compact metric spaces <i>J</i> and <i>X</i> and a uniformly contractible iterated function system <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq1.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="161" /> </InlineMediaObject> <EquationSource Format="TEX">\(\{\phi _j: X \rightarrow X \, | \, j \in J \}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">{</mo> <msub> <mi>ϕ</mi> <mi>j</mi> </msub> <mo>:</mo> <mi>X</mi> <mo stretchy="false">→</mo> <mi>X</mi> <mspace width="0.166667em" /> <mo stretchy="false">|</mo> <mspace width="0.166667em" /> <mi>j</mi> <mo>∈</mo> <mi>J</mi> <mo stretchy="false">}</mo> </mrow> </math></EquationSource> </InlineEquation>. For a Lipschitz continuous function <i>A</i> on <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq2.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="51" /> </InlineMediaObject> <EquationSource Format="TEX">\(J \times X\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>J</mi> <mo>×</mo> <mi>X</mi> </mrow> </math></EquationSource> </InlineEquation> and for each <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq3.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="44" /> </InlineMediaObject> <EquationSource Format="TEX">\(\beta &gt;0\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>β</mi> <mo>&gt;</mo> <mn>0</mn> </mrow> </math></EquationSource> </InlineEquation> we consider the Gibbs probability <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq4.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="30" /> </InlineMediaObject> <EquationSource Format="TEX">\(\rho _{{\beta A}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>ρ</mi> <mrow> <mi>β</mi> <mi>A</mi> </mrow> </msub> </math></EquationSource> </InlineEquation>. Our goal is to study a large deviation principle for such family of probabilities as <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq5.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="71" /> </InlineMediaObject> <EquationSource Format="TEX">\(\beta \rightarrow +\infty \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>β</mi> <mo stretchy="false">→</mo> <mo>+</mo> <mi>∞</mi> </mrow> </math></EquationSource> </InlineEquation> and its connections with idempotent probabilities. In the non-place dependent case (<InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq6.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="159" /> </InlineMediaObject> <EquationSource Format="TEX">\(A(j,x)=A_j,\,\forall x\in X\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>A</mi> <mrow> <mo stretchy="false">(</mo> <mi>j</mi> <mo>,</mo> <mi>x</mi> <mo stretchy="false">)</mo> </mrow> <mo>=</mo> <msub> <mi>A</mi> <mi>j</mi> </msub> <mo>,</mo> <mspace width="0.166667em" /> <mo>∀</mo> <mi>x</mi> <mo>∈</mo> <mi>X</mi> </mrow> </math></EquationSource> </InlineEquation>) we will prove that <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq7.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="39" /> </InlineMediaObject> <EquationSource Format="TEX">\((\rho _{{\beta A}})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <msub> <mi>ρ</mi> <mrow> <mi>β</mi> <mi>A</mi> </mrow> </msub> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> satisfy a LDP and <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq8.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="26" /> </InlineMediaObject> <EquationSource Format="TEX">\(-I\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo>-</mo> <mi>I</mi> </mrow> </math></EquationSource> </InlineEquation> (where <i>I</i> is the rate function) is the density of the unique invariant idempotent probability for a mpIFS associated to <i>A</i>. In the place dependent case, we prove that, if <InlineEquation ID="IEq9"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq9.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="39" /> </InlineMediaObject> <EquationSource Format="TEX">\((\rho _{{\beta A}})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <msub> <mi>ρ</mi> <mrow> <mi>β</mi> <mi>A</mi> </mrow> </msub> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> satisfy a LDP, then <InlineEquation ID="IEq10"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq10.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="26" /> </InlineMediaObject> <EquationSource Format="TEX">\(-I\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo>-</mo> <mi>I</mi> </mrow> </math></EquationSource> </InlineEquation> is the density of an invariant idempotent probability. Such idempotent probabilities were recently characterized through the Mañé potential and Aubry set, therefore we will obtain an identical characterization for <InlineEquation ID="IEq11"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3400_Article_IEq11.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="26" /> </InlineMediaObject> <EquationSource Format="TEX">\(-I\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo>-</mo> <mi>I</mi> </mrow> </math></EquationSource> </InlineEquation>.</p>

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Large Deviation for Gibbs Probabilities at Zero Temperature and Invariant Idempotent Probabilities for Iterated Function Systems

  • Jairo K. Mengue,
  • Elismar R. Oliveira

摘要

We consider two compact metric spaces J and X and a uniformly contractible iterated function system \(\{\phi _j: X \rightarrow X \, | \, j \in J \}\) { ϕ j : X X | j J } . For a Lipschitz continuous function A on \(J \times X\) J × X and for each \(\beta >0\) β > 0 we consider the Gibbs probability \(\rho _{{\beta A}}\) ρ β A . Our goal is to study a large deviation principle for such family of probabilities as \(\beta \rightarrow +\infty \) β + and its connections with idempotent probabilities. In the non-place dependent case ( \(A(j,x)=A_j,\,\forall x\in X\) A ( j , x ) = A j , x X ) we will prove that \((\rho _{{\beta A}})\) ( ρ β A ) satisfy a LDP and \(-I\) - I (where I is the rate function) is the density of the unique invariant idempotent probability for a mpIFS associated to A. In the place dependent case, we prove that, if \((\rho _{{\beta A}})\) ( ρ β A ) satisfy a LDP, then \(-I\) - I is the density of an invariant idempotent probability. Such idempotent probabilities were recently characterized through the Mañé potential and Aubry set, therefore we will obtain an identical characterization for \(-I\) - I .