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Approximation theorems for random permanents and associated stochastic processes
Authors:Grzegorz A Rempała  Jacek Wesołowski
Institution:(1) Institute of Mathematics and Its Applications, University of Minnesota, USA;(2) Wydzialstrok Matematyki i Nauk Informacyjnych, Politechnika Warszawska, Polland;(3) Department of Mathematics, University of Louisville, USA
Abstract:The limit theorems for certain stochastic processes generated by permanents of random matrices of independent columns with exchangeable components are established. The results are based on the martingale decomposition of a random permanent function similar to the one known for U-statistics and on relating the components of this decomposition to some multiple stochastic integrals.Mathematics Subject Classification (2000): Primary 60F17, 62G20; Secondary 15A15, 15A52Acknowledgement A significant part of this work was completed when the first author was visiting the Center for Mathematical Sciences at the University of Wisconsin-Madison. He would like to express his gratitude to the Center and its Acting Director, Prof. Thomas G. Kurtz, for their hospitality. Thanks are also due to the first authorrsquos current host, the Institute for Mathematics and Its Applications at the University of Minnesota. Finally, both authors graciously acknowledge the comments of an anonymous referee on an earlier version of this paper.
Keywords:Random permanent  Permanent process  Orthogonal decomposition  Invariance principle  Donskerrsquos theorem" target="_blank">gif" alt="rsquo" align="BASELINE" BORDER="0">s theorem  Elementary symmetric polynomial process  Multiple stochastic integral
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