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Related papers: The Bott-Duffin drazin inverse and its application

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An element $a$ in a Banach algebra $\mathcal{A}$ has g-Drazin inverse if there exists $b\in \mathcal{A}$ such that $ab=ba, b=bab$ and $a-a^2b \in \mathcal{A}^{qnil}$. In this paper we find new explicit representations of the g-Drazin…

Rings and Algebras · Mathematics 2022-09-29 Huanyin Chen , Marjan Sheibani

This is the first paper of a two-long series in which we study linear generalized inverses that minimize matrix norms. Such generalized inverses are famously represented by the Moore-Penrose pseudoinverse (MPP) which happens to minimize the…

Information Theory · Computer Science 2017-07-14 Ivan Dokmanić , Rémi Gribonval

Motivated by the very recent work of Gao, Y., Chen, J., Wang, J., Zou, H. [Comm. Algebra, 49(8) (2021) 3241-3254; MR4283143], we introduce two new generalized inverses named weak Drazin (WD) and weak Drazin Moore-Penrose (WDMP) inverses for…

Rings and Algebras · Mathematics 2025-08-12 Amit Kumar , Debasisha Mishra

In traditional QCD sum rules, the simple hadron spectral density model of ``delta-function-type ground state + theta-function-type continuous spectrum" determines that there is no perfect parameter selection. In recent years, inverse…

High Energy Physics - Phenomenology · Physics 2024-07-16 Zhen-Xing Zhao , Yi-Peng Xing , Run-Hui Li

In this paper, we begin by introducing some necessary and sufficient conditions for generalized $n$-strong Drazin invertibility (g$n$s-invertibility) and pseudo $n$-strong Drazin invertibility (p$n$s-invertibility) of an element in a Banach…

Functional Analysis · Mathematics 2025-06-05 Rounak Biswas , Falguni Roy

In this paper, we introduce the tensor similar transforation and propose the T-Jordan canonical form and its properties. The concept of T-minimal polynomial and T-characteristic polynomial are raised. As a special case, we present…

Numerical Analysis · Mathematics 2019-10-24 Yun Miao , Liqun Qi , Yimin Wei

In this work, we introduce a new type of generalized inverse called dual core-EP generalized inverse (in short DCEPGI) for dual square matrices. We analyze the existence and uniqueness of the DCEPGI inverse and its compact formula using…

Numerical Analysis · Mathematics 2025-02-10 Bibekananda Sitha , Jajati Keshari Sahoo , Nestor Thome

In this note, a new concept called {\em $SDR$-matrix} is proposed, which is an infinite lower triangular matrix obeying the generalized rule of David star. Some basic properties of $SDR$-matrices are discussed and two conjectures on…

Combinatorics · Mathematics 2008-05-12 Yidong Sun

Non-convex methods for linear inverse problems with low-dimensional models have emerged as an alternative to convex techniques. We propose a theoretical framework where both finite dimensional and infinite dimensional linear inverse…

Information Theory · Computer Science 2022-02-22 Yann Traonmilin , Jean-François Aujol , Arthur Leclaire

Convergence and stability results for the inverse Born series [Moskow and Schotland, Inverse Problems, 24:065005, 2008] are generalized to mappings between Banach spaces. We show that by restarting the inverse Born series one obtains a…

Mathematical Physics · Physics 2015-06-03 Patrick Bardsley , Fernando Guevara Vasquez

We prove a new lower bound for the Frobenius norm of the inverse of an non-negative matrix. This bound is only a modest improvement over previous results, but is sufficient for fully resolving a conjecture of Harwitz and Sloane, commonly…

Combinatorics · Mathematics 2024-09-09 Elsa Frankel , John Urschel

The motivation of this paper is to investigate the dual Drazin inverse of adjacency matrices arising from several classes of connected dual-number-weighted digraphs over the dual complex algebra. Explicit formulas for the dual Drazin…

Combinatorics · Mathematics 2026-03-10 Yue Zhao , Daochang Zhang , Zhongshan Li , Frank J. Hall

This paper studies the issues about the generalized inverses of tensors under the C-Product. The aim of this paper is threefold. Firstly, this paper present the definition of the Moore-Penrose inverse, Drazin inverse of tensors under the…

Rings and Algebras · Mathematics 2024-12-12 Hongwei Jin , Shumin Xu , Hongjie Jiang , Xiaoji Liu

Our aim is to establish relations between Drazin inverses of the pesudo-block matrix $(P,Q,R,S)$ and the block matrix composed of $P,R,S,Q$, where $R^2=S^2=0$. Based on the relations, we give representations for Drazin inverses of the sum…

Rings and Algebras · Mathematics 2017-07-04 Daochang Zhang , Dijana Mosi\' c , Li Guo

This paper discusses the explicit inverse of a class of seven-diagonal (near) Toeplitz matrices, which arises in the numerical solutions of nonlinear fourth-order differential equation with a finite difference method. A non-recurrence…

Numerical Analysis · Mathematics 2021-03-19 Bakytzhan Kurmanbek , Yogi Erlangga , Yerlan Amanbek

Inversion of operators is a fundamental concept in data processing. Inversion of linear operators is well studied, supported by established theory. When an inverse either does not exist or is not unique, generalized inverses are used. Most…

Statistics Theory · Mathematics 2024-04-02 Eyal Gofer , Guy Gilboa

We present new generalized Jacobson's lemma for generalized Drazin inverses. This extend the main results on g-Drazin inverse of Yan, Zeng and Zhu (Linear $\&$ Multilinear Algebra, {\bf 68}(2020), 81--93).

Rings and Algebras · Mathematics 2020-06-16 Huanyin Chen , Marjan Sheibani

This work presents closed formulas for determinant, permanent, inverse, and Drazin inverse of circulant matrices with two non-zero coefficients.

General Mathematics · Mathematics 2022-12-22 Andrés M. Encinas , Daniel A. Jaume , Cristian Panelo , Denis E. Videla

Nonlinear inverse problems have complicated landscapes. Hence the calculation with naive iterative schemes (e.g., Gauss-Newton or conjugate gradients) is trapped in local minima. The (first) Born approximation can avoid this trapping but…

Numerical Analysis · Mathematics 2025-12-02 Akari Ishida , Manabu Machida

This paper discusses basic results and recent developments on variational regularization methods, as developed for inverse problems. In a typical setup we review basic properties needed to obtain a convergent regularization scheme and…

Machine Learning · Computer Science 2021-12-10 Martin Burger