2013
DOI: 10.1007/s10955-013-0872-z
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The Continuum Directed Random Polymer

Abstract: Motivated by discrete directed polymers in one space and one time dimension, we construct a continuum directed random polymer that is modeled by a continuous path interacting with a space-time white noise. The strength of the interaction is determined by an inverse temperature parameter beta, and for a given beta and realization of the noise the path evolves in a Markovian way. The transition probabilities are determined by solutions to the one-dimensional stochastic heat equation. We show that for all beta > … Show more

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Cited by 96 publications
(179 citation statements)
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“…the three motivating models listed above). We stress here that the difficulty is substantial and not just technical: for pinning and directed polymer models, one can show [AKQ14b,CSZ14] that the scaling limit P W Ω;λ,ĥ of P ω Ω δ ;λ,h exists, but forλ = 0 it is not absolutely continuous with respect to P ref Ω . In particular, it is hopeless to define the continuum disordered model through a Radon-Nikodym density, like in (1.4).…”
Section: Continuum Limits Of Disordered Systemsmentioning
confidence: 96%
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“…the three motivating models listed above). We stress here that the difficulty is substantial and not just technical: for pinning and directed polymer models, one can show [AKQ14b,CSZ14] that the scaling limit P W Ω;λ,ĥ of P ω Ω δ ;λ,h exists, but forλ = 0 it is not absolutely continuous with respect to P ref Ω . In particular, it is hopeless to define the continuum disordered model through a Radon-Nikodym density, like in (1.4).…”
Section: Continuum Limits Of Disordered Systemsmentioning
confidence: 96%
“…Similar to the case α = 2 studied in [AKQ14b], we expect that this convergence can be upgraded to a convergence in distribution in the space of continuous functions, equipped with the uniform topology. We can then use these partition functions to define a continuum long-range directed polymer model (which corresponds intuitively to an "α-stable Lévy process in a white noise random medium"), by specifying its finite-dimensional distributions as done in [AKQ14b] for the Brownian case α = 2.…”
Section: Scaling Limits Of Disordered Systemsmentioning
confidence: 99%
“…We will restrict ourselves here to the one space dimension with the quadratic non-linearity (1). Even in this 1 + 1 dimensional situation we are still in the very difficult case of a field theory with broken time reversible invariance.…”
Section: ) ξ(T X) ξ(S Y) = δ(T − S)δ(x − Y)mentioning
confidence: 99%
“…Traditionally it has a square root so that D is the mean square, or variance. The key term (1), the deterministic part of the growth, is assumed to be a function only of the slope, and to be a symmetric function. Here is a picture of what we mean by lateral growth From the picture, the natural choice for F might be (1+|∂ x h| 2 ) −1/2 , however this leads to a seemingly intractable equation.…”
Section: (T X) ξ(S Y) := E[ξ(t X)ξ(s Y)] = δ(T − S)δ(x − Y) √mentioning
confidence: 99%
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