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| Content Provider | Springer Nature Link |
|---|---|
| Author | Guérin, Hélène Méléard, Sylvie Fontbona, Joaquin |
| Copyright Year | 2007 |
| Abstract | In this paper, we consider nonlinear diffusion processes driven by space-time white noises, which have an interpretation in terms of partial differential equations. For a specific choice of coefficients, they correspond to the Landau equation arising in kinetic theory. The main goal of the paper is to construct an easily simulable diffusive interacting particle system, converging towards this nonlinear process and to obtain an explicit pathwise rate. This requires to find a significant coupling between finitely many Brownian motions and the infinite dimensional white noise process. The key idea will be to construct the right Brownian motions by pushing forward the white noise processes, through the Brenier map realizing the optimal transport between the law of the nonlinear process, and the empirical measure of independent copies of it. A crucial problem will then be to establish the joint measurability of this optimal transport map, with respect to the space variable and the parameter (time-randomness) that makes the marginals vary. To overcome this point, we shall prove a general measurability result for the mass transportation problem and for the supports of the optimal transfer plans, in the sense of set-valued mappings. This will allow us to construct the coupling and to obtain explicit convergence rates. |
| Ending Page | 351 |
| Page Count | 23 |
| Starting Page | 329 |
| File Format | |
| ISSN | 01788051 |
| e-ISSN | 14322064 |
| Journal | Probability Theory and Related Fields |
| Issue Number | 3 |
| Volume Number | 143 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2008-01-04 |
| Publisher Place | Berlin/Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Nonlinear white noise driven SDE Pathwise coupling Predictable transport process Variational problems in a geometric measure-theoretic setting General theory of processes Landau type interacting particle systems Kinetic theory of gases Mathematical and Computational Physics Interacting random processes; statistical mechanics type models; percolation theory Probability Theory and Stochastic Processes Quantitative Finance Numerical methods (Monte Carlo, series resummation, etc.) Statistics for Business/Economics/Mathematical Finance/Insurance Operations Research/Decision Theory Mathematical Biology in General Measurability of optimal transport |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Analysis Statistics, Probability and Uncertainty |
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