getdocee2a. 555KB Jun 04 2011 12:05:09 AM
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We shall exemplify these ideas by writing in the distributions space D’(R) the concentrated force and momentum in a point, as well as the solutions of the boundary problems
If the input is an SRG, we prove that the metric which the LP returns has some property and that we can easily exhibit a cut whose sparsity is within a factor 2 of the optimal
Finally we prove the main results in the last sections, by means of approximation techniques in large deviations and convex analysis : the key being the inequality (1.8) and the
Our argument is based on an improvement of the methodology created by Ahlswede and Winter [ 2 ] in order to prove their operator Chernoff bound , which also has many applications
This Gaussian concentration is derived from a Gaussian upper bound of the density of the scheme and a modification of the so-called “Herbst argument” used to prove Logarithmic
In Section 6 we prove Theorem 3.2 about the convergence of the renormalization branching process to a time-homogeneous limit.. In Section 7 , we prove the statements from
The accuracy of our results depends primarily upon an inequality pertaining to the number of event recurrences, as given in Klass and Nowicki (2003), a corollary of which extends
We prove that for almost all values of the index α – except for a dense set of Lebesgue measure zero – the asymptotic series which were obtained in [13] are in fact