2016
DOI: 10.1088/1751-8121/50/4/045001
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Exact solution for a random walk in a time-dependent 1D random environment: the point-to-point Beta polymer

Abstract: We consider the Beta polymer, an exactly solvable model of directed polymer on the square lattice, introduced by Barraquand and Corwin (BC) in [1]. We study the statistical properties of its point to point partition sum. The problem is equivalent to a model of a random walk in a time-dependent (and in general biased) 1D random environment. In this formulation, we study the sample to sample fluctuations of the transition probability distribution function (PDF) of the random walk. Using the Bethe ansatz we obtai… Show more

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Cited by 20 publications
(40 citation statements)
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References 54 publications
(256 reference statements)
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“…The second is extending the results at fixed u, to smaller values of u = x/t. From the results on the Beta polymer [1,11] we know that the PDF, P , exhibits additional local fluctuations, with a Gamma distribution, not present in the CDF, P > , and this distinction does not seem to be captured by the above arguments.…”
Section: First Model: Physical Argument and Length Scalesmentioning
confidence: 95%
See 3 more Smart Citations
“…The second is extending the results at fixed u, to smaller values of u = x/t. From the results on the Beta polymer [1,11] we know that the PDF, P , exhibits additional local fluctuations, with a Gamma distribution, not present in the CDF, P > , and this distinction does not seem to be captured by the above arguments.…”
Section: First Model: Physical Argument and Length Scalesmentioning
confidence: 95%
“…For the continuum diffusion model II, using J(u) and λ(u) given in (11), the arguments in Section 2 predict, in the limit of small γ, precisely in an expansion in…”
Section: Large Deviation Regime: Tw Fluctuationsmentioning
confidence: 95%
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“…Recently, Barraquand and Corwin obtained an exact solution of a discrete TD-RWRE on Z with SR correlated jump probabilities, the so-called Beta polymer. The sample to sample fluctuations of the logarithm of the cumulative [31] and transition [32] probability distribution function (PDF) in the large deviations regime of the RW, ie. looking away from the most probable direction, were found to be distributed with the characteristic KPZ exponent and GUE TW distribution 1 .…”
mentioning
confidence: 99%