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Algebraic methods for the design of series of maximum distance separable (MDS) linear block and convolutional codes to required specifications and types are presented. Algorithms are given to design codes to required rate and required…

Information Theory · Computer Science 2022-07-14 Ted Hurley

Maximum distance profile (MDP) convolutional codes have the property that their column distances are as large as possible. It has been shown that, transmitting over an erasure channel, these codes have optimal recovery rate for windows of a…

Information Theory · Computer Science 2017-12-27 Julia Lieb

A matrix $M$ over the finite field $ \mathbb{F}_q $ is called \emph{maximum distance separable} (MDS) if all of its square submatrices are non-singular. These MDS matrices are very important in cryptography and coding theory because they…

Information Theory · Computer Science 2026-02-11 Atif Ahmad Khan , Shakir Ali , Bhupendra Singh

In this paper we study properties and invariants of matrix codes endowed with the rank metric, and relate them to the covering radius. We introduce new tools for the analysis of rank-metric codes, such as puncturing and shortening…

Combinatorics · Mathematics 2016-09-01 Eimear Byrne , Alberto Ravagnani

We show that the maximum rank of block lower triangular Toeplitz block matrices equals their term rank if the blocks fulfill a structural condition, i.e., only the locations but not the values of their nonzeros are fixed.

Combinatorics · Mathematics 2013-05-21 Gunther Reißig

Linear constraints for a matrix polytope with no fractional vertex are investigated as intersecting research among permutation codes, rank modulations, and linear programming methods. By focusing the discussion to the block structure of…

Combinatorics · Mathematics 2012-02-07 Manabu Hagiwara

In this paper, we construct four families of linear codes over finite fields from the complements of either the union of subfields or the union of cosets of a subfield, which can produce infinite families of optimal linear codes, including…

Information Theory · Computer Science 2021-08-24 Zhao Hu , Nian Li , Xiangyong Zeng , Lisha Wang , Xiaohu Tang

The method of little groups describes the irreducible characters of semidirect products with abelian normal subgroups in terms of the irreducible characters of the factor groups. We modify this method to construct supercharacter theories of…

Representation Theory · Mathematics 2016-04-28 Scott Andrews

The issue of so-called maximal regularity is discussed within a Hilbert space framework for a class of evolutionary equations. Viewing evolutionary equations as a sums of two unbounded operators, showing maximal regularity amounts to…

Analysis of PDEs · Mathematics 2016-04-05 Rainer Picard , Sascha Trostorff , Marcus Waurick

The problem of finding the distance from a given $n \times n$ matrix polynomial of degree $k$ to the set of matrix polynomials having the elementary divisor $(\lambda-\lambda_0)^j, \, j \geqslant r,$ for a fixed scalar $\lambda_0$ and $2…

Numerical Analysis · Mathematics 2019-11-05 Biswajit Das , Shreemayee Bora

The new classes of super special codes are constructed in this book using the specially constructed super special vector spaces. These codes mainly use the super matrices. These codes can be realized as a special type of concatenated codes.…

General Mathematics · Mathematics 2010-07-01 W. B. Vasantha Kandasamy , Florentin Smarandache , K. Ilanthenral

This paper investigates the construction of rank-metric codes with specified Ferrers diagram shapes. These codes play a role in the multilevel construction for subspace codes. A conjecture from 2009 provides an upper bound for the dimension…

Information Theory · Computer Science 2019-04-30 Jared Antrobus , Heide Gluesing-Luerssen

We consider the problem of designing optimal linear codes (in terms of having the largest minimum distance) subject to a support constraint on the generator matrix. We show that the largest minimum distance can be achieved by a subcode of a…

Information Theory · Computer Science 2018-03-13 Hikmet Yildiz , Babak Hassibi

We propose a general method for optimally approximating an arbitrary matrix $\mathbf{M}$ by a structured matrix $\mathbf{T}$ (circulant, Toeplitz/Hankel, etc.) and examine its use for estimating the spectra of genomic linkage disequilibrium…

Applications · Statistics 2024-09-10 Chris Salahub , Jeffrey Uhlmann

The maximal subgroup of unipotent upper-triangular matrices of the finite general linear groups are a fundamental family of $p$-groups. Their representation theory is well-known to be wild, but there is a standard supercharacter theory,…

Representation Theory · Mathematics 2014-05-12 Daniel Bragg , Nathaniel Thiem

A maximal commutative subalgebra is a substructure in algebra with the greatest commutative property. By studying the lengths of maximal commutative subalgebras, one can more clearly characterize the structure of commutative subalgebras in…

Rings and Algebras · Mathematics 2025-05-15 Chengjie Wang

We investigate the use of Minimax distances to extract in a nonparametric way the features that capture the unknown underlying patterns and structures in the data. We develop a general-purpose and computationally efficient framework to…

Machine Learning · Computer Science 2023-01-02 Morteza Haghir Chehreghani

The paper presents the classification of matrix valued superpotentials corresponding to shape invariant systems of Schr\"odinger equations. All inequivalent irreducible matrix superpotentials realized by matrices of arbitrary dimension with…

Mathematical Physics · Physics 2015-05-28 Yuri Karadzhov

Teichm\"uller's classical mapping problem for plane domains concerns finding a lower bound for the maximal dilatation of a quasiconformal homeomorphism which holds the boundary pointwise fixed, maps the domain onto itself, and maps a given…

Complex Variables · Mathematics 2013-04-15 Matti Vuorinen , Xiaohui Zhang

The radius of regularity sometimes spelled as the radius of nonsingularity is a measure providing the distance of a given matrix to the nearest singular one. Despite its possible application strength this measure is still far from being…

Numerical Analysis · Mathematics 2019-05-28 David Hartman , Milan Hladik