Large deviation principles for stochastic nonlinear Schrodinger equations driven by Levy noise
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| _version_ | 1866917750548463616 |
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| author | Zhu, Jiahui Liu, Wei Zhai, Jianliang |
| author_facet | Zhu, Jiahui Liu, Wei Zhai, Jianliang |
| contents | In this work we establish a Freidlin-Wentzell type large deviation principle for stochastic nonlinear Schrödinger equation, with either focusing or defocusing nonlinearity, driven by nonlinear multiplicative Lévy noise in the Marcus canonical form. This task is challenging in the current setting due to the presence of the power-type nonlinear term, the lack of regularization effect of the Schrödinger operator and the absence of compactness of embeddings. To overcome these difficulties, we employ a regularization procedure based on Yosida approximations and implement techniques such as time discretization, cut-off arguments, and relative entropy estimates of sequences of probability measures. Our innovative approach circumvents the need for compactness conditions, distinguishing our work from previous studies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_05234 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Large deviation principles for stochastic nonlinear Schrodinger equations driven by Levy noise Zhu, Jiahui Liu, Wei Zhai, Jianliang Probability Mathematical Physics In this work we establish a Freidlin-Wentzell type large deviation principle for stochastic nonlinear Schrödinger equation, with either focusing or defocusing nonlinearity, driven by nonlinear multiplicative Lévy noise in the Marcus canonical form. This task is challenging in the current setting due to the presence of the power-type nonlinear term, the lack of regularization effect of the Schrödinger operator and the absence of compactness of embeddings. To overcome these difficulties, we employ a regularization procedure based on Yosida approximations and implement techniques such as time discretization, cut-off arguments, and relative entropy estimates of sequences of probability measures. Our innovative approach circumvents the need for compactness conditions, distinguishing our work from previous studies. |
| title | Large deviation principles for stochastic nonlinear Schrodinger equations driven by Levy noise |
| topic | Probability Mathematical Physics |
| url | https://arxiv.org/abs/2305.05234 |