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Statistical mechanics of stochastic growth phenomena

Oleg Alekseev and Mark Mineev-Weinstein
Phys. Rev. E 96, 010103(R) – Published 20 July 2017

Abstract

We develop statistical mechanics for stochastic growth processes and apply it to Laplacian growth by using its remarkable connection with a random matrix theory. The Laplacian growth equation is obtained from the variation principle and describes adiabatic (quasistatic) thermodynamic processes in the two-dimensional Dyson gas. By using Einstein's theory of thermodynamic fluctuations we consider transitional probabilities between thermodynamic states, which are in a one-to-one correspondence with simply connected domains occupied by gas. Transitions between these domains are described by the stochastic Laplacian growth equation, while the transitional probabilities coincide with a free-particle propagator on an infinite-dimensional complex manifold with a Kähler metric.

  • Figure
  • Received 17 February 2017

DOI:https://doi.org/10.1103/PhysRevE.96.010103

©2017 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsNonlinear DynamicsFluid Dynamics

Authors & Affiliations

Oleg Alekseev and Mark Mineev-Weinstein

  • International Institute of Physics, Federal University of Rio Grande do Norte, 59078-970 Natal, Brazil

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Issue

Vol. 96, Iss. 1 — July 2017

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