Continuous-time Markov processes on infinite dimensional hypercube

The infinite-dimensional hypercube (IDH) is the set [Formula: see text] of all finite subsets of [Formula: see text] (the nonnegative integer set) as a graph, where two sets are adjacent if they differ only by precisely one nonnegative integer. In this paper, we investigate the IDH from a perspective of continuous-time Markov processes. First, we introduce a weighted graph Laplacian [Formula: see text] on [Formula: see text] and prove some technical theorems concerning [Formula: see text]. Then we consider the point evaluation process [Formula: see text] on [Formula: see text] and prove that [Formula: see text] is a continuous-time Markov process with [Formula: see text] as its generator. We also construct a class of martingales in terms of [Formula: see text] and [Formula: see text] and obtain some relevant results. Finally, we construct a [Formula: see text]-process [Formula: see text] on [Formula: see text] through a [Formula: see text]-matrix associated with [Formula: see text] and verify its Markov property as well as other properties. Some other related results are also obtained in this paper.

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Publication Details

Journal
Infinite Dimensional Analysis Quantum Probability and Related Topics
Published
2025-12-24
DOI
https://doi.org/10.1142/s0219025725500146
Primary Topic
Complex Network Analysis Techniques
Type
article
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article

Continuous-time Markov processes on infinite dimensional hypercube

Jijun Zhao, Caishi Wang, Nan Fan
Infinite Dimensional Analysis Quantum Probability and Related Topics
Complex Network Analysis Techniques
article

Continuous-time Markov processes on infinite dimensional hypercube

Jijun Zhao, Caishi Wang, Nan Fan
article en

Abstract

The infinite-dimensional hypercube (IDH) is the set [Formula: see text] of all finite subsets of [Formula: see text] (the nonnegative integer set) as a graph, where two sets are adjacent if they differ only by precisely one nonnegative integer. In this paper, we investigate the IDH from a perspective of continuous-time Markov processes. First, we introduce a weighted graph Laplacian [Formula: see text] on [Formula: see text] and prove some technical theorems concerning [Formula: see text]. Then we consider the point evaluation process [Formula: see text] on [Formula: see text] and prove that [Formula: see text] is a continuous-time Markov process with [Formula: see text] as its generator. We also construct a class of martingales in terms of [Formula: see text] and [Formula: see text] and obtain some relevant results. Finally, we construct a [Formula: see text]-process [Formula: see text] on [Formula: see text] through a [Formula: see text]-matrix associated with [Formula: see text] and verify its Markov property as well as other properties. Some other related results are also obtained in this paper.

Infinite Dimensional Analysis Quantum Probability and Related Topics
Northwest Normal University (CN)
Openalex Percentile: Top 32%
Complex Network Analysis Techniques
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