Yan Fan

ORCID: 0000-0003-0674-5866
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Research Areas
  • Nonlinear Photonic Systems
  • Nonlinear Waves and Solitons
  • Numerical methods for differential equations
  • Differential Equations and Numerical Methods
  • Advanced Mathematical Identities
  • Advanced Combinatorial Mathematics
  • Advanced Fiber Laser Technologies
  • Analytic Number Theory Research
  • Stochastic processes and statistical mechanics
  • Quantum Mechanics and Non-Hermitian Physics
  • Markov Chains and Monte Carlo Methods
  • Fractional Differential Equations Solutions
  • Matrix Theory and Algorithms
  • Mathematical Dynamics and Fractals
  • Probability and Risk Models
  • Photonic and Optical Devices
  • Theoretical and Computational Physics
  • Stochastic processes and financial applications
  • Advanced Mathematical Modeling in Engineering
  • Advanced Numerical Methods in Computational Mathematics
  • Numerical methods in engineering
  • Electromagnetic Simulation and Numerical Methods
  • Advanced Mathematical Physics Problems

Jiangsu University
2017-2023

Zhejiang Normal University
2020-2022

Zhejiang A & F University
2016-2021

Harbin Institute of Technology
2013-2017

In this paper, we give the definition of tree-indexed Markov chains in random environment with countable state space, and then study realization chain indexed by a tree environment. Finally, prove strong law large numbers Shannon–McMillan theorem for Cayley Markovian space.

10.1017/s0269964817000444 article EN Probability in the Engineering and Informational Sciences 2017-12-29

The aim of this paper is to analyze the delay-dependent stability symmetric Runge--Kutta methods, including Gauss methods and Lobatto IIIA, IIIB, IIIS for linear neutral delay integro-differential equations. By means root locus technique, structure curve given numerical region obtained. It proved that, under some conditions, analytical contained in region. Finally, examples are presented illustrate theoretical results.

10.1137/15m1054146 article EN SIAM Journal on Numerical Analysis 2017-01-01

The asymptotic equipartition property is a basic theorem in information theory. In this paper, we study the strong law of large numbers Markov chains single-infinite Markovian environment on countable state space. As corollary, obtain laws for frequencies occurrence states and ordered couples process. Finally, give

10.1080/17442508.2019.1567730 article EN Stochastics 2019-01-11

10.1216/rmj.2024.54.1315 article EN Rocky Mountain Journal of Mathematics 2024-09-26
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