Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows
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arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866915802694811648 |
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| author | Crucinio, Francesca R. Johansen, Adam M. |
| author_facet | Crucinio, Francesca R. Johansen, Adam M. |
| contents | Motivated by a recent method for approximate solution of Fredholm equations of the first kind, we develop a corresponding method for a class of Fredholm equations of the \emph{second kind}. In particular, we consider the class of equations for which the solution is a probability measure. The approach centres around specifying a functional whose gradient flow admits a minimizer corresponding to a regularized version of the solution of the underlying equation and using a mean-field particle system to approximately simulate that flow. Theoretical support for the method is presented, along with some illustrative numerical results. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_19642 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows Crucinio, Francesca R. Johansen, Adam M. Computation Numerical Analysis Optimization and Control Methodology 65Rxx, 65C35, 65K10, 45B05 Motivated by a recent method for approximate solution of Fredholm equations of the first kind, we develop a corresponding method for a class of Fredholm equations of the \emph{second kind}. In particular, we consider the class of equations for which the solution is a probability measure. The approach centres around specifying a functional whose gradient flow admits a minimizer corresponding to a regularized version of the solution of the underlying equation and using a mean-field particle system to approximately simulate that flow. Theoretical support for the method is presented, along with some illustrative numerical results. |
| title | Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows |
| topic | Computation Numerical Analysis Optimization and Control Methodology 65Rxx, 65C35, 65K10, 45B05 |
| url | https://arxiv.org/abs/2409.19642 |