Ray-Knight theorems for the local times of rebirthed Markov processes
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| author | Fitzsimmons, P. J. Rosen, Jay |
| author_facet | Fitzsimmons, P. J. Rosen, Jay |
| contents | We prove generalizations of the first and second Ray-Knight theorems, for a large class of non-symmetric strong Markov processes. These results link the local times of the Markov process with the squares of associated Gaussian processes. This connection allows us to establish results about the exact modulus of continuity (in the spatial variable) of the local times. Our approach is different from earlier treatments which were based on associated permanental processes rather than Gaussian processes.
The type of process with which we work can be described as follows. Start with a symmetric Markov process with finite lifetime; upon its death resurrect it at a place in the state space chosen at random, independent of the past. Continue in this way, resurrecting at each death, to obtain a recurrent process. The rebirthing procedure destroys the symmetry of the original process, leading to a large class of non-symmetric processes.
The main results are illustrated by many examples. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_16838 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Ray-Knight theorems for the local times of rebirthed Markov processes Fitzsimmons, P. J. Rosen, Jay Probability 60G15, 60G17, 60J40, 60J55, 60J60 We prove generalizations of the first and second Ray-Knight theorems, for a large class of non-symmetric strong Markov processes. These results link the local times of the Markov process with the squares of associated Gaussian processes. This connection allows us to establish results about the exact modulus of continuity (in the spatial variable) of the local times. Our approach is different from earlier treatments which were based on associated permanental processes rather than Gaussian processes. The type of process with which we work can be described as follows. Start with a symmetric Markov process with finite lifetime; upon its death resurrect it at a place in the state space chosen at random, independent of the past. Continue in this way, resurrecting at each death, to obtain a recurrent process. The rebirthing procedure destroys the symmetry of the original process, leading to a large class of non-symmetric processes. The main results are illustrated by many examples. |
| title | Ray-Knight theorems for the local times of rebirthed Markov processes |
| topic | Probability 60G15, 60G17, 60J40, 60J55, 60J60 |
| url | https://arxiv.org/abs/2602.16838 |