2017
DOI: 10.1090/conm/698/14033
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Convergence of moments for dispersing billiards with cusps

Abstract: Dispersing billiards with cusps are deterministic dynamical systems with a mild degree of chaos, exhibiting "intermittent" behavior that alternates between regular and chaotic patterns. They are characterized by decay of correlations of order 1/n and a central limit theorem with a non-classical scaling factor of √ n log n. As for the growth of the pth moments of the appropriately normalized Birkhoff sums, it follows from the results of [28] that these converge to the moments of the limit normal distribution on… Show more

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Cited by 6 publications
(16 citation statements)
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References 31 publications
(57 reference statements)
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“…Item (2) follows directly from Proposition 2 (2). This also implies that the total expansion factor during the interval [N 1 , N 3 ] is of order O(1).…”
Section: General Models With Cuspsmentioning
confidence: 66%
See 1 more Smart Citation
“…Item (2) follows directly from Proposition 2 (2). This also implies that the total expansion factor during the interval [N 1 , N 3 ] is of order O(1).…”
Section: General Models With Cuspsmentioning
confidence: 66%
“…The rates were improved to O(n −1 ) in [14]. This model was further investigated in [1,2]. In [10], Chernov and Makarian also raised an open question: "It is interesting to let the curvature vanish at the vertex of the cusp, .... would this affect the rate of the decay of correlations?"…”
mentioning
confidence: 99%
“…For a particle with phase point x = (r, v) ∈ M, let Φ t (x) give the phase point of the same particle after it moves for time t. For x = (r, v) ∈ M denote π Q x = r. {Φ t : M → M|t ∈ R} is called the billiard flow and this definition is unambiguous if we assume that, in addition, the trajectories are continuous from the right. 4 For x ∈ M, let τ (x) denote the time of free flight for x until the first collision:…”
Section: Billiard Tablementioning
confidence: 99%
“…Other examples of applications include certain kinds of transport in fluid flow [26,32], transport in biological cells [6,28], the migration of bacteria [1], predator search behavior [27], and traveling humans [7]. Also, Lorentz gases [16,33] and other billiards problems [2], in which there is no randomness in a strict sense but, rather, deterministic chaos, have been approximated by super-diffusive random walks.…”
mentioning
confidence: 99%
“…One can then use the Tauberian theorem to deduce the long-time asymptotics of the MSD from the behavior of derivatives with respect to the Fourier variable near 0 [19,21,29]. An alternative and more elementary approach is to express the MSD as an integral over the velocity auto-correlation, and evaluate or analyze the integral; see for instance [2,12]. We present a mathematical analysis of the basic properties of the MSD, using this approach, under the assumption that F has finite expectation.…”
mentioning
confidence: 99%