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Time Correlation Exponents in Last Passage Percolation

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In and Out of Equilibrium 3: Celebrating Vladas Sidoravicius

Part of the book series: Progress in Probability ((PRPR,volume 77))

Abstract

For directed last passage percolation on \(\mathbb {Z}^2\) with exponential passage times on the vertices, let T n denote the last passage time from (0, 0) to (n, n). We consider asymptotic two point correlation functions of the sequence T n. In particular we consider Corr(T n, T r) for r ≤ n where r, n → with r ≪ n or n − r ≪ n. Establishing a conjecture from Ferrari and Spohn (SIGMA 12:074, 2016), we show that in the former case \(\mathrm {Corr}(T_{n}, T_{r})=\varTheta ((\frac {r}{n})^{1/3})\) whereas in the latter case \(1-{\mathrm {Corr}}(T_{n}, T_{r})=\varTheta ((\frac {n-r}{n})^{2/3})\). The argument revolves around finer understanding of polymer geometry and is expected to go through for a larger class of integrable models of last passage percolation. As a by-product of the proof, we also get quantitative estimates for locally Brownian nature of pre-limits of Airy2 process coming from exponential LPP, a result of independent interest.

In memory of Vladas Sidoravicius

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Notes

  1. 1.

    We shall ignore the contribution of the vertex u , one can check that this does not change any of the asymptotics.

  2. 2.

    This is first of the many situations we ignore the weights on the line x + y = 2r, as mentioned above we shall not comment on this issue henceforth.

  3. 3.

    In keeping with the often used practice, left and right are defined after rotating the picture counter-clockwise by 45 degrees, so that the line x = y becomes vertical.

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Acknowledgements

We thank Alan Hammond and Ivan Corwin for discussing the results in [10], and Alan Hammond for extensive discussions around the results of [17] and Theorem 3. We also thank an anonymous referee for several useful comments and suggestions. RB is partially supported by an ICTS-Simons Junior Faculty Fellowship, a Ramanujan Fellowship (SB/S2/RJN-097/2017) from the Science and Engineering Research Board, and by ICTS via project no. 12-R&D-TFR-5.10-1100 from DAE, Govt. of India. SG is partially supported by a Sloan Research Fellowship in Mathematics and NSF Award DMS-1855688.

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Correspondence to Riddhipratim Basu .

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Basu, R., Ganguly, S. (2021). Time Correlation Exponents in Last Passage Percolation. In: Vares, M.E., Fernández, R., Fontes, L.R., Newman, C.M. (eds) In and Out of Equilibrium 3: Celebrating Vladas Sidoravicius. Progress in Probability, vol 77. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-60754-8_5

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