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| Content Provider | Springer Nature Link |
|---|---|
| Author | Osada, Hirofumi |
| Copyright Year | 2011 |
| Abstract | We solve infinite-dimensional stochastic differential equations (ISDEs) describing an infinite number of Brownian particles interacting via two-dimensional Coulomb potentials. The equilibrium states of the associated unlabeled stochastic dynamics are the Ginibre random point field and Dyson’s measures, which appear in random matrix theory. To solve the ISDEs we establish an integration by parts formula for these measures. Because the long-range effect of two-dimensional Coulomb potentials is quite strong, the properties of Brownian particles interacting with two-dimensional Coulomb potentials are remarkably different from those of Brownian particles interacting with Ruelle’s class interaction potentials. As an example, we prove that the interacting Brownian particles associated with the Ginibre random point field satisfy plural ISDEs. |
| Ending Page | 509 |
| Page Count | 39 |
| Starting Page | 471 |
| File Format | |
| ISSN | 01788051 |
| e-ISSN | 14322064 |
| Journal | Probability Theory and Related Fields |
| Issue Number | 3 |
| Volume Number | 153 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2011-03-15 |
| Publisher Place | Berlin/Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Interacting Brownian particles Coulomb potentials Mathematical and Computational Biology Interacting particle systems Diffusion processes Theoretical, Mathematical and Computational Physics Interacting random processes; statistical mechanics type models; percolation theory Probability Theory and Stochastic Processes Quantitative Finance Infinite-dimensional stochastic differential equations Random matrices Dyson’s model Statistics for Business/Economics/Mathematical Finance/Insurance Continuum models (systems of particles, etc.) Operations Research/Decision Theory Ginibre random point field |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Analysis Statistics, Probability and Uncertainty |
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