<p>In this paper, we study independent (Bernoulli) bond percolation in dimensions <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(d \ge 2\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>d</mi> <mo>≥</mo> <mn>2</mn> </mrow> </math></EquationSource> </InlineEquation>, focusing on the maximum diameter of finite clusters in the non-critical regime (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(p\ne p_c\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>p</mi> <mo>≠</mo> <msub> <mi>p</mi> <mi>c</mi> </msub> </mrow> </math></EquationSource> </InlineEquation>). We prove that the maximum diameter <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(R_n\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>R</mi> <mi>n</mi> </msub> </math></EquationSource> </InlineEquation> satisfies <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(R_n / \log n \rightarrow \varkappa (p)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>R</mi> <mi>n</mi> </msub> <mo stretchy="false">/</mo> <mo>log</mo> <mi>n</mi> <mo stretchy="false">→</mo> <mi>ϰ</mi> <mrow> <mo stretchy="false">(</mo> <mi>p</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> almost surely, where <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(\varkappa (p)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>ϰ</mi> <mo stretchy="false">(</mo> <mi>p</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> is determined by the exponential decay rate <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(\xi (p)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>ξ</mi> <mo stretchy="false">(</mo> <mi>p</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> of <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\(P_p(0 \leftrightarrow \partial B_n, |\mathcal {C}_0|&lt;\infty )\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>P</mi> <mi>p</mi> </msub> <mrow> <mo stretchy="false">(</mo> <mn>0</mn> <mo stretchy="false">↔</mo> <mi>∂</mi> </mrow> <msub> <mi>B</mi> <mi>n</mi> </msub> <mrow> <mo>,</mo> <mo stretchy="false">|</mo> </mrow> <msub> <mi mathvariant="script">C</mi> <mn>0</mn> </msub> <mrow> <mo stretchy="false">|</mo> <mo>&lt;</mo> <mi>∞</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation>. Furthermore, we establish a large deviation principle for the event <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\(\{R_n &gt; \rho \log n\}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">{</mo> <msub> <mi>R</mi> <mi>n</mi> </msub> <mo>&gt;</mo> <mi>ρ</mi> <mo>log</mo> <mi>n</mi> <mo stretchy="false">}</mo> </mrow> </math></EquationSource> </InlineEquation> for <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\(\rho &gt; \varkappa (p)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>ρ</mi> <mo>&gt;</mo> <mi>ϰ</mi> <mo stretchy="false">(</mo> <mi>p</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation>. Finally, we consider the asymptotics of the number of vertices in clusters with large diameters.</p>

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Maximum Cluster Diameter in Non-critical Bond Percolation

  • Kaito Kobayashi

摘要

In this paper, we study independent (Bernoulli) bond percolation in dimensions \(d \ge 2\) d 2 , focusing on the maximum diameter of finite clusters in the non-critical regime ( \(p\ne p_c\) p p c ). We prove that the maximum diameter \(R_n\) R n satisfies \(R_n / \log n \rightarrow \varkappa (p)\) R n / log n ϰ ( p ) almost surely, where \(\varkappa (p)\) ϰ ( p ) is determined by the exponential decay rate \(\xi (p)\) ξ ( p ) of \(P_p(0 \leftrightarrow \partial B_n, |\mathcal {C}_0|<\infty )\) P p ( 0 B n , | C 0 | < ) . Furthermore, we establish a large deviation principle for the event \(\{R_n > \rho \log n\}\) { R n > ρ log n } for \(\rho > \varkappa (p)\) ρ > ϰ ( p ) . Finally, we consider the asymptotics of the number of vertices in clusters with large diameters.