Diffusion equations from master equations-A discrete geometric approach

4Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

In this paper, continuous-time master equations with finite states employed in nonequilibrium statistical mechanics are formulated in the language of discrete geometry. In this formulation, chains in algebraic topology are used, and master equations are described on graphs that consist of vertices representing states and of directed edges representing transition matrices. It is then shown that master equations under the detailed balance conditions are equivalent to discrete diffusion equations, where the Laplacians are defined as self-adjoint operators with respect to introduced inner products. An isospectral property of these Laplacians is shown for non-zero eigenvalues, and its applications are given. The convergence to the equilibrium state is shown by analyzing this class of diffusion equations. In addition, a systematic way to derive closed dynamical systems for expectation values is given. For the case that the detailed balance conditions are not imposed, master equations are expressed as a form of a continuity equation.

References Powered by Scopus

5769Citations
971Readers
Get full text

Stochastic Processes in Physics and Chemistry

2752Citations
N/AReaders
Get full text
Get full text

Cited by Powered by Scopus

From the Fokker-Planck equation to a contact Hamiltonian system

1Citations
3Readers
Get full text
0Citations
2Readers
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Goto, S. I., & Hino, H. (2020). Diffusion equations from master equations-A discrete geometric approach. Journal of Mathematical Physics, 61(11). https://doi.org/10.1063/5.0003656

Readers over time

‘19‘20‘21‘2400.511.52

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 2

50%

Researcher 2

50%

Readers' Discipline

Tooltip

Physics and Astronomy 2

40%

Biochemistry, Genetics and Molecular Bi... 1

20%

Mathematics 1

20%

Chemistry 1

20%

Save time finding and organizing research with Mendeley

Sign up for free
0