Span observables - "When is a foraging rabbit no longer hungry?"
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arXiv
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| Format: | Preprint |
| Publié: |
2019
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| _version_ | 1866914952071086080 |
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| author | Wiese, Kay Joerg |
| author_facet | Wiese, Kay Joerg |
| contents | Be $X_t$ a random walk. We study its span $S$, i.e. the size of the domain visited up to time $t$. We want to know the probability that $S$ reaches $1$ for the first time, as well as the density of the span given $t$. Analytical results are presented, and checked against numerical simulations. We then generalize this to include drift, and one or two reflecting boundaries. We also derive the joint probability of the maximum and minimum of a process. Our results are based on the diffusion propagator with reflecting or absorbing boundaries, for which a set of useful formulas is derived. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1903_06036 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | Span observables - "When is a foraging rabbit no longer hungry?" Wiese, Kay Joerg Statistical Mechanics Quantitative Methods Be $X_t$ a random walk. We study its span $S$, i.e. the size of the domain visited up to time $t$. We want to know the probability that $S$ reaches $1$ for the first time, as well as the density of the span given $t$. Analytical results are presented, and checked against numerical simulations. We then generalize this to include drift, and one or two reflecting boundaries. We also derive the joint probability of the maximum and minimum of a process. Our results are based on the diffusion propagator with reflecting or absorbing boundaries, for which a set of useful formulas is derived. |
| title | Span observables - "When is a foraging rabbit no longer hungry?" |
| topic | Statistical Mechanics Quantitative Methods |
| url | https://arxiv.org/abs/1903.06036 |