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Classical metric Diophantine approximation revisited: the Khintchine-Groshev theorem
| Title | Classical metric Diophantine approximation revisited: the Khintchine-Groshev theorem |
| Publication Type | Journal Article |
| Year of Publication | 2010 |
| Authors | Beresnevich V, Velani S |
| Refereed Designation | Refereed |
| Journal | Int. Math. Res. Not. |
| Volume | 2010, no.1 |
| Pagination | 69-86 |
| 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 $\mathbb{R}^{mn}$. 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.
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| URL | http://arxiv.org/abs/0811.0809 |
| E-print number | arXiv:0811.0809
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Edited 20 Jun 2011 - 19:04 by vb8
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