Khintchine

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Anish Ghosh - One of the best experts on this subject based on the ideXlab platform.

Victor Beresnevich - One of the best experts on this subject based on the ideXlab platform.

  • diophantine approximation on manifolds and the distribution of rational points contributions to the convergence theory
    International Mathematics Research Notices, 2016
    Co-Authors: Victor Beresnevich, R C Vaughan, Sanju Velani, Evgeniy Zorin
    Abstract:

    In this article, we develop the convergence theory of simultaneous, inhomogeneous Diophantine approximation on manifolds. A consequence of our main result is that if the manifold M ⊂ R^n is of dimension strictly greater than (n + 1)/2 and satisfies a natural non-degeneracy condition, then M is of Khintchine type for convergence. The key lies in obtaining essentially the best possible upper bound regarding the distribution of rational points near manifolds.

  • diophantine approximation on manifolds and the distribution of rational points contributions to the convergence theory
    arXiv: Number Theory, 2015
    Co-Authors: Victor Beresnevich, R C Vaughan, Sanju Velani, Evgeniy Zorin
    Abstract:

    In this paper we develop the convergence theory of simultaneous, inhomogeneous Diophantine approximation on manifolds. A consequence of our main result is that if the manifold $M \subset \mathbb{R}^n$ is of dimension strictly greater than $(n+1)/2$ and satisfies a natural non-degeneracy condition, then $M$ is of Khintchine type for convergence. The key lies in obtaining essentially the best possible upper bound regarding the distribution of rational points near manifolds.

  • classical metric diophantine approximation revisited the Khintchine groshev theorem
    International Mathematics Research Notices, 2009
    Co-Authors: Victor Beresnevich, Sanju Velani
    Abstract:

    Let denote the set of ψ-approximable points in . Under the assumption that the approximating function ψ is monotonic, the classical Khintchine-Groshev theorem provides an elegant probabilistic criterion for the Lebesgue measure of . The famous Duffin-Schaeffer counterexample shows that the monotonicity assumption on ψ is absolutely necessary when m = n = 1. On the other hand, it is known that monotonicity is not necessary when n ≥ 3 (Schmidt) or when n = 1 and m ≥ 2 (Gallagher). Surprisingly, when n = 2, the situation is unresolved. We deal with this remaining case and thereby remove all unnecessary conditions from the classical Khintchine-Groshev theorem. This settles a multidimensional analog of Catlin's conjecture.

  • Classical Metric Diophantine Approximation Revisited: The Khintchine–Groshev Theorem
    International Mathematics Research Notices, 2009
    Co-Authors: Victor Beresnevich, Sanju Velani
    Abstract:

    Let denote the set of ψ-approximable points in . Under the assumption that the approximating function ψ is monotonic, the classical Khintchine-Groshev theorem provides an elegant probabilistic criterion for the Lebesgue measure of . The famous Duffin-Schaeffer counterexample shows that the monotonicity assumption on ψ is absolutely necessary when m = n = 1. On the other hand, it is known that monotonicity is not necessary when n ≥ 3 (Schmidt) or when n = 1 and m ≥ 2 (Gallagher). Surprisingly, when n = 2, the situation is unresolved. We deal with this remaining case and thereby remove all unnecessary conditions from the classical Khintchine-Groshev theorem. This settles a multidimensional analog of Catlin's conjecture.

  • classical metric diophantine approximation revisited the Khintchine groshev theorem
    arXiv: Number Theory, 2008
    Co-Authors: Victor Beresnevich, Sanju Velani
    Abstract:

    Under the assumption that the approximating function $\psi$ is monotonic, the classical Khintchine-Groshev theorem provides an elegant probabilistic criterion for the Lebesgue measure of the set of $\psi$-approximable matrices in $\R^{mn}$. The famous Duffin-Schaeffer counterexample shows that the monotonicity assumption on $\psi$ is absolutely necessary when $m=n=1$. On the other hand, it is known that monotonicity is not necessary when $n > 2$ (Sprindzuk) or when $n=1$ and $m>1$ (Gallagher). Surprisingly, when $n=2$ the situation is unresolved. We deal with this remaining case and thereby remove all unnecessary conditions from the classical Khintchine-Groshev theorem. This settles a multi-dimensional analogue of Catlin's Conjecture.

Wei Sun - One of the best experts on this subject based on the ideXlab platform.

  • extensions of levy Khintchine formula and beurling deny formula in semi dirichlet forms setting
    Journal of Functional Analysis, 2006
    Co-Authors: Wei Sun
    Abstract:

    Abstract The Levy–Khintchine formula or, more generally, Courrege's theorem characterizes the infinitesimal generator of a Levy process or a Feller process on R d . For more general Markov processes, the formula that comes closest to such a characterization is the Beurling–Deny formula for symmetric Dirichlet forms. In this paper, we extend these celebrated structure results to include a general right process on a metrizable Lusin space, which is supposed to be associated with a semi-Dirichlet form. We start with decomposing a regular semi-Dirichlet form into the diffusion, jumping and killing parts. Then, we develop a local compactification and an integral representation for quasi-regular semi-Dirichlet forms. Finally, we extend the formulae of Levy–Khintchine and Beurling–Deny in semi-Dirichlet forms setting through introducing a quasi-compatible metric.

  • Extensions of Lévy–Khintchine formula and Beurling–Deny formula in semi-Dirichlet forms setting
    Journal of Functional Analysis, 2006
    Co-Authors: Wei Sun
    Abstract:

    Abstract The Levy–Khintchine formula or, more generally, Courrege's theorem characterizes the infinitesimal generator of a Levy process or a Feller process on R d . For more general Markov processes, the formula that comes closest to such a characterization is the Beurling–Deny formula for symmetric Dirichlet forms. In this paper, we extend these celebrated structure results to include a general right process on a metrizable Lusin space, which is supposed to be associated with a semi-Dirichlet form. We start with decomposing a regular semi-Dirichlet form into the diffusion, jumping and killing parts. Then, we develop a local compactification and an integral representation for quasi-regular semi-Dirichlet forms. Finally, we extend the formulae of Levy–Khintchine and Beurling–Deny in semi-Dirichlet forms setting through introducing a quasi-compatible metric.

Daniel C. Alvey - One of the best experts on this subject based on the ideXlab platform.

  • A Khintchine type theorem for affine subspaces
    International Journal of Number Theory, 2020
    Co-Authors: Daniel C. Alvey
    Abstract:

    We show that affine subspaces of Euclidean space are of Khintchine type for divergence under certain multiplicative Diophantine conditions on the parameterizing matrix. This provides evidence towards the conjecture that all affine subspaces of Euclidean space are of Khintchine type for divergence, or that Khintchine’s theorem still holds when restricted to the subspace. This result is proved as a special case of a more general Hausdorff measure result from which the Hausdorff dimension of [Formula: see text] intersected with an appropriate subspace is also obtained.

  • A Khintchine type theorem for affine subspaces
    arXiv: Number Theory, 2020
    Co-Authors: Daniel C. Alvey
    Abstract:

    We show that affine subspaces of Euclidean space are of Khintchine type for divergence under certain multiplicative Diophantine conditions on the parametrizing matrix. This provides evidence towards the conjecture that all affine subspaces of Euclidean space are of Khintchine type for divergence, or that Khintchine's theorem still holds when restricted to the subspace. This result is proved as a special case of a more general Hausdorff measure result from which the Hausdorff dimension of W(\tau) intersected with an appropriate subspace is also obtained.

M. M. Dodson - One of the best experts on this subject based on the ideXlab platform.