Microscopic Deterministic Dynamics and Persistence Exponent
B. Zheng
TL;DR
This paper numerically investigates the persistence probability scaling in the two-dimensional $\
Contribution
It introduces a systematic numerical approach to estimate the persistence exponent in a microscopic deterministic model at criticality.
Findings
Persistence exponent estimated at criticality.
Scaling behavior of persistence probability characterized.
Numerical methods applied to $\
Abstract
Numerically we solve the microscopic deterministic equations of motion with random initial states for the two-dimensional theory. Scaling behavior of the persistence probability at criticality is systematically investigated and the persistence exponent is estimated.
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