A PDE hierarchy for directed polymers in random environments
dc.contributor.author | Gu, Yu | |
dc.contributor.author | Henderson, Christopher | |
dc.date.accessioned | 2021-11-16T23:23:48Z | |
dc.date.available | 2021-11-16T23:23:48Z | |
dc.date.issued | 2021-09-16 | |
dc.identifier.citation | Gu, Y., & Henderson, C. (2021). A PDE hierarchy for directed polymers in random environments. Nonlinearity. | en_US |
dc.identifier.issn | 0951-7715 | |
dc.identifier.doi | 10.1088/1361-6544/ac23b7 | |
dc.identifier.uri | http://hdl.handle.net/10150/662327 | |
dc.description.abstract | For a Brownian directed polymer in a Gaussian random environment, with q(t, ·) denoting the quenched endpoint density and Qn(t,x1,?,xn)=E[q(t,x1) q(txn)], we derive a hierarchical PDE system satisfied by Qn}n=1. We present two applications of the system: (i) we compute the generator of µt(dx)=q(t,xdx}t=0 for some special functionals, where µt(dx)t=0 is viewed as a Markov process taking values in the space of probability measures; (ii) in the high temperature regime with d 3, we prove a quantitative central limit theorem for the annealed endpoint distribution of the diffusively rescaled polymer path. We also study a nonlocal diffusion-reaction equation motivated by the generator and establish a super-diffusive O(t 2/3) scaling. | en_US |
dc.description.sponsorship | NSF | en_US |
dc.language.iso | en | en_US |
dc.publisher | IOP Publishing | en_US |
dc.rights | © 2021 IOP Publishing Ltd & London Mathematical Society. | en_US |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en_US |
dc.subject | directed polymer | en_US |
dc.subject | reaction-diffusion equation | en_US |
dc.subject | stochastic heat equation | en_US |
dc.title | A PDE hierarchy for directed polymers in random environments | en_US |
dc.type | Article | en_US |
dc.identifier.eissn | 1361-6544 | |
dc.contributor.department | Department of Mathematics, University of Arizona | en_US |
dc.identifier.journal | Nonlinearity | en_US |
dc.description.note | 12 month embargo; published: 16 September 2021 | en_US |
dc.description.collectioninformation | This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. | en_US |
dc.eprint.version | Final accepted manuscript | en_US |
dc.source.journaltitle | Nonlinearity | |
dc.source.volume | 34 | |
dc.source.issue | 10 | |
dc.source.beginpage | 7335 | |
dc.source.endpage | 7370 |