Mean-Field Game for Gene Expression of Beetles

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Jiang, Yiming, Lou, Yuan, Wei, Yawei, Zeng, Fei, Zhang, Zelin
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866912685391609856
author Jiang, Yiming
Lou, Yuan
Wei, Yawei
Zeng, Fei
Zhang, Zelin
author_facet Jiang, Yiming
Lou, Yuan
Wei, Yawei
Zeng, Fei
Zhang, Zelin
contents In this paper, we investigate the probability of the expression of genes that control the size of beetles under competitive relationships. We use the mean field game (MFG) theory in multiple populations to characterize the different competitive pressures of large and small beetles in the population, and simulate the probability of gene expression in finite time $[0, T]$. Therefore, we prove the existence and uniqueness of the solution of the equation under some assumptions.
format Preprint
id arxiv_https___arxiv_org_abs_2511_01523
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Mean-Field Game for Gene Expression of Beetles
Jiang, Yiming
Lou, Yuan
Wei, Yawei
Zeng, Fei
Zhang, Zelin
Optimization and Control
In this paper, we investigate the probability of the expression of genes that control the size of beetles under competitive relationships. We use the mean field game (MFG) theory in multiple populations to characterize the different competitive pressures of large and small beetles in the population, and simulate the probability of gene expression in finite time $[0, T]$. Therefore, we prove the existence and uniqueness of the solution of the equation under some assumptions.
title Mean-Field Game for Gene Expression of Beetles
topic Optimization and Control
url https://arxiv.org/abs/2511.01523