Simultaneous Diagonalization of Incomplete Matrices and Applications

05/27/2020
by   Jean-Sébastien Coron, et al.
0

We consider the problem of recovering the entries of diagonal matrices {U_a}_a for a = 1,...,t from multiple "incomplete" samples {W_a}_a of the form W_a=PU_aQ, where P and Q are unknown matrices of low rank. We devise practical algorithms for this problem depending on the ranks of P and Q. This problem finds its motivation in cryptanalysis: we show how to significantly improve previous algorithms for solving the approximate common divisor problem and breaking CLT13 cryptographic multilinear maps.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/08/2021

On the Recognition of Strong-Robinsonian Incomplete Matrices

A matrix is incomplete when some of its entries are missing. A Robinson ...
research
04/21/2021

On the rank of Z_2-matrices with free entries on the diagonal

For an n × n matrix M with entries in ℤ_2 denote by R(M) the minimal ran...
research
10/13/2020

Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation

Approximate Simultaneous Diagonalization (ASD) is a problem to find a co...
research
10/19/2019

Simultaneous hollowisation, joint numerical range, and stabilization by noise

We consider orthogonal transformations of arbitrary square matrices to a...
research
03/09/2021

Robust Sensing of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition

We consider the problem of recovering an unknown low-rank matrix X with ...
research
06/02/2016

Convolutional Imputation of Matrix Networks

A matrix network is a family of matrices, where the relationship between...
research
02/27/2023

Generator Matrices by Solving Integer Linear Programs

In quasi-Monte Carlo methods, generating high-dimensional low discrepanc...

Please sign up or login with your details

Forgot password? Click here to reset