Minkowski’s First Theorem and Dirichlet’s Approximation Theorem provide upper bounds on certain minima taken over lattice points contained in domains of Euclidean spaces. We study the distribution of such minima and show, under some technical conditions, that they exhibit Weibull asymptotics with respect to different natural measures on the space of unimodular lattices in . This follows from very general Poisson approximation results for shrinking targets which should be of independent interest. Furthermore, we show in the appendix that the logarithm laws of Kleinbock-Margulis [Invent. Math. 138 (1999), pp. 451–494], Khinchin and Gallagher [J. London Math. Soc. 37 (1962), pp. 387–390] can be deduced from our distributional results
Pick n points independently at random in R2, according to a prescribed probability measure µ, and le...
We study the normal approximation of functionals of Poisson measures having the form of a finite sum...
We establish presumably optimal rates of normal convergence with respect to the Kolmogorov distance ...
Minkowski\u27s First Theorem and Dirichlet\u27s Approximation Theorem provide upper bounds on certai...
We prove a new class of inequalities, yielding bounds for the normal approximation in the Wasserstei...
This is an introductory expository lecture of elementary level. We start with a brief overview of so...
Consider a measure μλ = Σx ξx δx where the sum is over points x of a Poisson point process of intens...
Pick n points independently at random in R , according to a prescribed probability measure , and l...
We investigate in this paper the distribution of the discrepancy of various lattice counting functio...
Pick n points independently at random in R^2, according to a prescribed probability measure...
Pick n points independently at random in R^2, according to a prescribed probability measure...
AbstractWe find asymptotic formulas for the least upper bounds of approximation in the metric of the...
The notions of unimodular Minkowski and Hausdorff dimensions are defined in [5] for unimodular rando...
If n points are independently and uniformly distributed in a large rectangular parallelepiped, A in ...
AbstractLet ηt be a Poisson point process of intensity t≥1 on some state space Y and let f be a non-...
Pick n points independently at random in R2, according to a prescribed probability measure µ, and le...
We study the normal approximation of functionals of Poisson measures having the form of a finite sum...
We establish presumably optimal rates of normal convergence with respect to the Kolmogorov distance ...
Minkowski\u27s First Theorem and Dirichlet\u27s Approximation Theorem provide upper bounds on certai...
We prove a new class of inequalities, yielding bounds for the normal approximation in the Wasserstei...
This is an introductory expository lecture of elementary level. We start with a brief overview of so...
Consider a measure μλ = Σx ξx δx where the sum is over points x of a Poisson point process of intens...
Pick n points independently at random in R , according to a prescribed probability measure , and l...
We investigate in this paper the distribution of the discrepancy of various lattice counting functio...
Pick n points independently at random in R^2, according to a prescribed probability measure...
Pick n points independently at random in R^2, according to a prescribed probability measure...
AbstractWe find asymptotic formulas for the least upper bounds of approximation in the metric of the...
The notions of unimodular Minkowski and Hausdorff dimensions are defined in [5] for unimodular rando...
If n points are independently and uniformly distributed in a large rectangular parallelepiped, A in ...
AbstractLet ηt be a Poisson point process of intensity t≥1 on some state space Y and let f be a non-...
Pick n points independently at random in R2, according to a prescribed probability measure µ, and le...
We study the normal approximation of functionals of Poisson measures having the form of a finite sum...
We establish presumably optimal rates of normal convergence with respect to the Kolmogorov distance ...