Non-Markov random telegraph processes with arbitrary nonlocal memory

We study random dichotomous stationary ergodic processes with nonlocal in-time memory. These processes are characterized by a conditional transition probabilities distribution containing an integral term involving the memory function, which takes into account the past of the process. For the first time, we present a method for solving the integro-differential equation, which connects the arbitrary memory and pair correlation functions in an analytical closed form. Conditions of stationarity for the telegraph process with exponential memory are found. It is shown that the pair correlation function of this process can be of two types: either exponentially decreasing with two different decrements or oscillating with exponentially decreasing amplitude.

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Publication Details

Journal
Physical review. E
Published
2025-06-27
DOI
https://doi.org/10.1103/xvck-7n24
Citations
1
Primary Topic
Diffusion and Search Dynamics
Type
article
Field-Weighted Citation Impact
0.81

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article

Non-Markov random telegraph processes with arbitrary nonlocal memory

V. A. Yampol’skiı̆, S. S. Melnyk, OLEG V. USATENKO
1 citations
Physical review. E
Diffusion and Search Dynamics
0.81
article

Non-Markov random telegraph processes with arbitrary nonlocal memory

V. A. Yampol’skiı̆, S. S. Melnyk, OLEG V. USATENKO
article en
1 citations

Abstract

We study random dichotomous stationary ergodic processes with nonlocal in-time memory. These processes are characterized by a conditional transition probabilities distribution containing an integral term involving the memory function, which takes into account the past of the process. For the first time, we present a method for solving the integro-differential equation, which connects the arbitrary memory and pair correlation functions in an analytical closed form. Conditions of stationarity for the telegraph process with exponential memory are found. It is shown that the pair correlation function of this process can be of two types: either exponentially decreasing with two different decrements or oscillating with exponentially decreasing amplitude.

Physical review. EVol. 112(1)
O.Ya. Usikov Institute for Radiophysics and Electronics (UA), Benemérita Universidad Autónoma de Puebla (MX), V. N. Karazin Kharkiv National University (UA), Polish Academy of Sciences (PL)
Benemérita Universidad Autónoma de Puebla
Openalex Percentile: Top 27%
Diffusion and Search Dynamics
0.81
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Non-Markov random telegraph processes with arbitrary nonlocal memory — V. A. Yampol’skiı̆, S. S. Melnyk, et al. · Physical review. E (2025) | TGRS Research Map | TGRS