We discuss large deviation properties of continuous-time random walks (CTRWs) and present a general expression for the large deviation rate in CTRWs in terms of the corresponding rates for the distributions of steps' lengths and waiting times. In the case of Gaussian distribution of steps' lengths the general expression reduces to a sequence of two Legendre transformations applied to the cumulant generating function of waiting times. The discussion of several examples (Bernoulli and Gaussian random walks with exponentially distributed waiting times, Gaussian random walks with one-sided Levy and Pareto-distributed waiting times) reveals interesting general properties of such large deviations.
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Queen Mary Univ London, Sch Math Sci, London E1 4NS, EnglandQueen Mary Univ London, Sch Math Sci, London E1 4NS, England
Coghi, Francesco
Morand, Jules
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Univ Lisbon, Fac Sci, BioISI Biosyst & Integrat Sci Inst, Campo Grande C8, P-1749016 Lisbon, PortugalQueen Mary Univ London, Sch Math Sci, London E1 4NS, England
Morand, Jules
Touchette, Hugo
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Stellenbosch Univ, Dept Math Sci, ZA-7600 Stellenbosch, South Africa
Natl Inst Theoret Phys NITheP, ZA-7600 Stellenbosch, South AfricaQueen Mary Univ London, Sch Math Sci, London E1 4NS, England
机构:
Univ Paris Est Creteil, Univ Gustave Eiffel, CNRS, UPEM, Paris, France
Univ Paris Est Creteil, LAMA, 61 Av Gen Gaulle, F-94010 Creteil, FranceUniv Paris Est Creteil, Univ Gustave Eiffel, CNRS, UPEM, Paris, France
Asselah, Amine
Schapira, Bruno
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Aix Marseille Univ, I2M, Cent Marseille, CNRS, Marseille, France
Aix Marseille Univ, Technopole Chateau Gombert, CMI, 39 Rue F Joliot Curie, F-13453 Marseille 13, FranceUniv Paris Est Creteil, Univ Gustave Eiffel, CNRS, UPEM, Paris, France