A Maximum-Entropy Meshfree Method for Computation of Invariant Measures

Authors

  • Tingting Fang Department of Mathematics, Zhejiang Sci-Tech University, Hangzhou 310018, China.
  • Hongxia Jia Department of Mathematics, Zhejiang Sci-Tech University,Hangzhou 310018,China.
  • Congming Jin Department of Mathematics, Zhejiang Sci-Tech University, Hangzhou 310018, China.
  • Jiu Ding Department of Mathematics, The University of Southern Mississippi Hattiesburg, MS 39406-5045, USA.

DOI:

https://doi.org/10.4208/eajam.160419.030919%20

Keywords:

Invariant measure, maximum-entropy, meshfree method, basis function, Frobenius- Perron operator.

Abstract

Let $S$ : $X$ → $X$ be a nonsingular transformation such that the corresponding Frobenius-Perron operator $P$: $L$1 ($X$) → $L$1 ($X$) has a stationary density $f$. We propose a maximum-entropy method based on a meshfree approach to the numerical recovery of $f$. Numerical experiments show that this approach is more accurate than the maximum-entropy method based on piecewise linear functions, provided that the moments involved are known. Moreover, it has a smaller computational cost than the method mentioned.

Published

2020-04-01

Issue

Section

Articles