This note deals with a problem of the probabilistic Ramsey theory in functional analysis. Given a linear operator $T$ on a Hilbert space with an orthogonal basis, we define the isomorphic structure $\Sigma(T)$ as the family of all subsets of the basis so that $T$ restricted to their span is a nice isomorphism. Our main result is a dimension-free optimal estimate of the size of $\Sigma(T)$. It improves and extends in several ways the principle of restricted invertibility due to Bourgain and Tzafriri. With an appropriate notion of randomness, we obtain a randomized principle of restricted invertibility
We study the Restricted Isometry Property of a random matrix Γ with independent isotropic log-concav...
In our previous work [paper1], we derived an asymptotic expression for the probability that a random...
In this paper, the random bounded operators from a Banach space $ X $ into a Banach space $ Y $ and ...
This note deals with a problem of the probabilistic Ramsey theory in functional analysis. G...
This paper addresses the problem of improving properties of a linear operator u in $l_2^n$ by restri...
AbstractBasic questions of information-based complexity are strongly related to n-widths and s-numbe...
Submitted in 2015International audienceWe consider the problem of constructing a linear map from a H...
International audienceWe consider the problem of embedding a low-dimensional set, M, from an infinit...
Given a random subspace H_n chosen uniformly in a tensor product of Hilbert spaces V_n ⊗ W , we cons...
A result of Fiz Pontiveros shows that if A is a random subset of ZN where each element is chosen ind...
We use the definition of probabilistic normed space (briefly, PN space) proposed by Alsina, Schweize...
International audience For , let be independent random vectors in with the same distribution invaria...
AbstractIn this paper, we consider strongly bounded linear operators on a finite dimensional probabi...
Abstract. Let (RN, ‖ · ‖) be the space RN equipped with a norm ‖ · ‖ whose unit ball has a bound...
We study the approximation of expectations E(f(X)) for Gaussian random elements X with values in a s...
We study the Restricted Isometry Property of a random matrix Γ with independent isotropic log-concav...
In our previous work [paper1], we derived an asymptotic expression for the probability that a random...
In this paper, the random bounded operators from a Banach space $ X $ into a Banach space $ Y $ and ...
This note deals with a problem of the probabilistic Ramsey theory in functional analysis. G...
This paper addresses the problem of improving properties of a linear operator u in $l_2^n$ by restri...
AbstractBasic questions of information-based complexity are strongly related to n-widths and s-numbe...
Submitted in 2015International audienceWe consider the problem of constructing a linear map from a H...
International audienceWe consider the problem of embedding a low-dimensional set, M, from an infinit...
Given a random subspace H_n chosen uniformly in a tensor product of Hilbert spaces V_n ⊗ W , we cons...
A result of Fiz Pontiveros shows that if A is a random subset of ZN where each element is chosen ind...
We use the definition of probabilistic normed space (briefly, PN space) proposed by Alsina, Schweize...
International audience For , let be independent random vectors in with the same distribution invaria...
AbstractIn this paper, we consider strongly bounded linear operators on a finite dimensional probabi...
Abstract. Let (RN, ‖ · ‖) be the space RN equipped with a norm ‖ · ‖ whose unit ball has a bound...
We study the approximation of expectations E(f(X)) for Gaussian random elements X with values in a s...
We study the Restricted Isometry Property of a random matrix Γ with independent isotropic log-concav...
In our previous work [paper1], we derived an asymptotic expression for the probability that a random...
In this paper, the random bounded operators from a Banach space $ X $ into a Banach space $ Y $ and ...