Most probable paths in homogeneous and disordered lattices at finite temperature

Pratip Bhattacharyya, Yakov M. Strelniker, Shlomo Havlin, Daniel Ben-Avraham

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Abstract

We determine the geometrical properties of the most probable paths at finite temperatures T, between two points separated by a distance r, in one-dimensional lattices with positive energies of interaction εi associated with bond i. The most probable path-length tmp in a homogeneous medium (εi = ε, for all i) is found to undergo a phase transition, from an optimal-like form (tmp ∼ r) at low temperatures to a random walk form (tmp ∼ r2) near the critical temperature Tc = ε/ln 2. At T > Tc the most probable path-length diverges, discontinuously, for all finite endpoint separations greater than a particular value r*(T). In disordered lattices, with εi homogeneously distributed between ε-δ/2 and ε + δ/2, the random walk phase is absent, but a phase transition to diverging tmp still takes place. Different disorder configurations have different transition points. A way to characterize the whole ensemble of disorder, for a given distribution, is suggested.

Original languageEnglish
Pages (from-to)401-410
Number of pages10
JournalPhysica A: Statistical Mechanics and its Applications
Volume297
Issue number3-4
DOIs
StatePublished - 15 Aug 2001

Bibliographical note

Funding Information:
This research was supported in part by grants from the US-Israel Binational Science Foundation, and the KAMEA Fellowship program of the Ministry of Absorption of the State of Israel. D.b.-A. thanks the NSF (PHY-9820569) for support.

Funding

This research was supported in part by grants from the US-Israel Binational Science Foundation, and the KAMEA Fellowship program of the Ministry of Absorption of the State of Israel. D.b.-A. thanks the NSF (PHY-9820569) for support.

FundersFunder number
Ministry of Absorption of the State of Israel
US-Israel Binational Science Foundation
National Science FoundationPHY-9820569

    Keywords

    • Directed polymers
    • Disordered systems
    • Random walks

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