TY - JOUR
T1 - Quenched and annealed temporal limit theorems for circle rotation
AU - Dolgopyat, Dmitry
AU - Sarig, Omri
N1 - D. D. acknowledges the support of the NSF grant DMS1665046. O.S. acknowledges the support of the ISF grants 199/14 and 1149/18.
PY - 2020
Y1 - 2020
N2 - Let h(x) = {x} - 1/2. We study the distribution of Sigma(n-1)(k=0) h(x + k alpha) when x is fixed, and n is sampled randomly uniformly in {1, ..., N}, as N -> infinity. Beck proved in [2, 3] that if x = 0 and alpha is a quadratic irrational, then these distributions converge, after proper scaling, to the Gaussian distribution. We show that the set of alpha where a distributional scaling limit exists has Lebesgue measure zero, but that the following annealed limit theorem holds: Let (alpha, n) be chosen randomly uniformly in R/Z x {1, ..., N}, then the distribution of Sigma(n-1)(k=0) h(k alpha) converges after proper scaling as N -> infinity to the Cauchy distribution.
AB - Let h(x) = {x} - 1/2. We study the distribution of Sigma(n-1)(k=0) h(x + k alpha) when x is fixed, and n is sampled randomly uniformly in {1, ..., N}, as N -> infinity. Beck proved in [2, 3] that if x = 0 and alpha is a quadratic irrational, then these distributions converge, after proper scaling, to the Gaussian distribution. We show that the set of alpha where a distributional scaling limit exists has Lebesgue measure zero, but that the following annealed limit theorem holds: Let (alpha, n) be chosen randomly uniformly in R/Z x {1, ..., N}, then the distribution of Sigma(n-1)(k=0) h(k alpha) converges after proper scaling as N -> infinity to the Cauchy distribution.
UR - http://www.scopus.com/inward/record.url?scp=85088025657&partnerID=8YFLogxK
U2 - https://doi.org/10.24033/ast.1100
DO - https://doi.org/10.24033/ast.1100
M3 - مقالة
SN - 0303-1179
VL - 415
SP - 59
EP - 85
JO - Asterisque
JF - Asterisque
IS - 415
ER -