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Applications of Siegel's Lemma to a system of linear forms and its minimal points

Abstract

Consider a real matrix Θ\Theta consisting of rows (θi,1,,θi,n)(\theta_{i,1},\ldots,\theta_{i,n}), for 1im1\leq i\leq m. The problem of making the system linear forms x1θi,1++xnθi,nyix_{1}\theta_{i,1}+\cdots+x_{n}\theta_{i,n}-y_{i} for integers xj,yix_{j},y_{i} small naturally induces an ordinary and a uniform exponent of approximation, denoted by w(Θ)w(\Theta) and w^(Θ)\widehat{w}(\Theta) respectively. For m=1m=1, a sharp lower bound for the ratio w(Θ)/w^(Θ)w(\Theta)/\widehat{w}(\Theta) was recently established by Marnat and Moshchevitin. We give a short, new proof of this result upon a hypothesis on the best approximation integer vectors associated to Θ\Theta. Our conditional result extends to general m>1m>1 (but may not be optimal in this case). Moreover, our hypothesis is always satisfied in particular for m=1,n=2m=1, n=2 and thereby unconditionally confirms a previous observation of Jarn\'ik. We formulate our results in the more general context of approximation of subspaces of Euclidean spaces by lattices. We further establish criteria upon which a given number \ell of consecutive best approximation vectors are linearly independent. Our method is based on Siegel's Lemma.Comment: 29 page

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