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Eigenvalue versus perimeter in a shape theorem for self-interacting random walks

Marek Biskup, Eviatar B. Procaccia

Research output: Contribution to journalArticlepeer-review

Abstract

We study paths of time-length t of a continuous-time random walk on Z2 subject to self-interaction that depends on the geometry of the walk range and a collection of random, uniformly positive and finite edge weights. The interaction enters through a Gibbs weight at inverse temperature β; the “energy” is the total sum of the edge weights for edges on the outer boundary of the range. For edge weights sampled from a translation-invariant, ergodic law, we prove that the range boundary condensates around an asymptotic shape in the limit t → ∞ followed by β → ∞. The limit shape is a minimizer (unique, modulo translates) of the sum of the principal harmonic frequency of the domain and the perimeter with respect to the first-passage percolation norm derived from (the law of) the edge weights. A dense subset of all norms in R2, and thus a large variety of shapes, arise from the class of weight distributions to which our proofs apply.

Original languageEnglish
Pages (from-to)340-377
Number of pages38
JournalAnnals of Applied Probability
Volume28
Issue number1
DOIs
StatePublished - Feb 2018
Externally publishedYes

Keywords

  • Dirichlet eigenvalue
  • First-passage percolation
  • Interacting polymer
  • Perimeter
  • Random environment
  • Shape theorem

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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