The stochastic evolution of an infinite population with logistic-type interaction
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866914144883572736 |
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| author | Kozitsky, Yuri Röckner, Michael |
| author_facet | Kozitsky, Yuri Röckner, Michael |
| contents | An infinite population of point entities dwelling in the habitat $X=\mathds{R}^d$ is studied. Its members arrive at and depart from $X$ at random. The departure rate has a term corresponding to a logistic-type interaction between the entities. Thereby, the corresponding Kolmogorov operator $L$ has an additive quadratic part, which usually produces essential difficulties in its study. The population's pure states are locally finite counting measures defined on $X$. The set of such states $Γ$ is equipped with the vague topology and thus with the corresponding Borel $σ$-field. The population evolution is described at two levels. At the first level, we deal with the Fokker-Planck equation for $(L,\mathcal{F},μ_0)$ where $\mathcal{F}$ is an appropriate set of bounded test functions $F:Γ\to \mathds{R}$ (domain of $L$) and $μ_0$ is an initial state, which is supposed to belong to the set $\mathcal{P}_{\rm exp}$ of sub-Poissonian probability measures on $Γ$. We prove that the Fokker-Planck equation has a unique solution $t\mapstoμ_t$ which also belongs to $\mathcal{P}_{\rm exp}$. Some of the properties of this solution are also obtained. The second level description yields a Markov process such that its one dimensional marginals coincide with the mentioned states $μ_t$. The process is obtained as the unique solution of the corresponding martingale problem. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2411_16647 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The stochastic evolution of an infinite population with logistic-type interaction Kozitsky, Yuri Röckner, Michael Probability 60J25, 60J75, 60G55, 35Q84 An infinite population of point entities dwelling in the habitat $X=\mathds{R}^d$ is studied. Its members arrive at and depart from $X$ at random. The departure rate has a term corresponding to a logistic-type interaction between the entities. Thereby, the corresponding Kolmogorov operator $L$ has an additive quadratic part, which usually produces essential difficulties in its study. The population's pure states are locally finite counting measures defined on $X$. The set of such states $Γ$ is equipped with the vague topology and thus with the corresponding Borel $σ$-field. The population evolution is described at two levels. At the first level, we deal with the Fokker-Planck equation for $(L,\mathcal{F},μ_0)$ where $\mathcal{F}$ is an appropriate set of bounded test functions $F:Γ\to \mathds{R}$ (domain of $L$) and $μ_0$ is an initial state, which is supposed to belong to the set $\mathcal{P}_{\rm exp}$ of sub-Poissonian probability measures on $Γ$. We prove that the Fokker-Planck equation has a unique solution $t\mapstoμ_t$ which also belongs to $\mathcal{P}_{\rm exp}$. Some of the properties of this solution are also obtained. The second level description yields a Markov process such that its one dimensional marginals coincide with the mentioned states $μ_t$. The process is obtained as the unique solution of the corresponding martingale problem. |
| title | The stochastic evolution of an infinite population with logistic-type interaction |
| topic | Probability 60J25, 60J75, 60G55, 35Q84 |
| url | https://arxiv.org/abs/2411.16647 |