Questions tagged [generalized-inverse]

A generalized inverse of a matrix $A$ is any matrix $A^{-}$ satisfying $AA^{-}A = A$. When $A$ is nonsingular, $A^{-}$ is unique and $A^{-} = A^{-1}$; otherwise, there are infinitely many solutions to $A^{-}$. Generalized inverses arise in linear models for statistics, for when the design matrix of a linear model is not invertible and the ordinary least squares estimate of the parameter vector is not unique.

A generalized inverse of a matrix $A$ is any matrix $A^{-}$ satisfying $AA^{-}A = A$. When $A$ is nonsingular, $A^{-}$ is unique and $A^{-} = A^{-1}$; otherwise, there are infinitely many solutions to $A^{-}$. Generalized inverses arise in linear models for statistics, for when the design matrix of a linear model is not invertible and the ordinary least squares estimate of the parameter vector is not unique. Further information can be found here.

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Trace inequality for a product of p.s.d. matrices and their pseudo inverse.

Let $A, B_i$ be positive semidefinite real matrices. Let $\dagger$ stand for the Moore-Penrose generalized inverse. I managed to prove that if $\operatorname{Ran}B_1\subseteq\operatorname{Ker}B_2$ then $$\operatorname{trace}\left((A + B_1 +…
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Regular semigroups -- intuition

I'm trying to develop some intuition around the definition of the pseudoinverse in a regular semigroup. Let the semigroup be $S$ with its associative operation written by juxtaposition. The pseudoinverse of an element $a \in S$ is an element $x \in…
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$A \in \mathbb{C}^{m\times n}$,$A=FG^*$ and $r(A)=r(F)=r(G)$. Prove $A^\dagger = G(F^*AG)^{-1}F^*$ and $A^\dagger = (G^\dagger)^*F^\dagger$

Let $A^\dagger$ be a Moore-Penrose inverse of a matrix $A$. If $A \in \mathbb{C}^{m\times n}$ and $A=FG^*$, for some $F,G$ and $r(A)=r(F)=r(G)$, prove that $$A^\dagger = G(F^*AG)^{-1}F^*$$ and $$A^\dagger = (G^\dagger)^*F^\dagger.$$ I need to show…
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Calculating generalized inverse of singular matrix using singular value decomposition (SVD)

I became confused about how singular value decomposition can be used to find generalized inverse of singular matrix. Specifically, I am dealing with the matrix $G=\begin{pmatrix} 1 & 0 & 1 & 0 \\ 0 & 1 & 0 & 1 \\ 0 & \sqrt{2} & \sqrt{2} & 0 \\…
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Convergence of generalized inverses

I copy-paste the post from Math Overflow - maybe someone can give me a tip. During the reading about Fisher–Tippett–Gnedenko theorem (it can be found easily on wiki - I don't have enough reputation to post more links), I've got stuck, trying to…
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Prove: if $x_0$ is a function of $Ax=b$, then there exist some generalized inverse matrix of A, G, s.t. $x_0 = Gb$

Suppose $x_0$ is a solution of $Ax=b$, where $b\neq0$. How to prove that $x_0 = Gb$, where $G$ is a generalized inverse matrix of A? This is the Lemma 9.3 of Linear Algebra and Matrix. Here is proof, but I just cannot get it. The last line says…
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How to understand quasi-inverse of a function f∘g∘f = f?

Recently I was studying the quasi-inverse. Before I studied the quasi-inverse, I revisited the inverse and the left-right inverse. inverse function: Let $f : X → Y$, $g : Y → X$ is inverse of $f$, if only if, $f∘g = id_{Y}$ and $g∘f = id_{X}$. It is…
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A question on positive semi definite matrices

Suppose $A,B$ are symmetric, positive semi-definite matrices of same order such that $A \preceq B \preceq \kappa A$. How to prove that this is equivalent to $\frac{1}{\kappa}A^+ \preceq B^+ \preceq A^+$? Here $A^+$ is the generalized inverse of $A$.
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Prove that $A^2=A\iff \Sigma K=I_r$

Let $A$ be a square complex matrix and let $A=U\Sigma V^*$ be a singular value decomposition. Then $A$ can be written as $$A=U\begin{bmatrix} \Sigma K & \Sigma L\\ 0 & 0 \end{bmatrix} U^*$$ where $V^* =\begin{bmatrix} K &…
David
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If $f : U \rightarrow X$ is an isometric inclusion of Banach spaces, does $f' : X' \rightarrow U'$ have a bounded generalized inverse?

Let $X$ be a Banach space and let $U$ be a closed Banach subspace. The inclusion mapping $$ f : U \rightarrow X $$ induces a dual mapping $$ f' : X' \rightarrow U' $$ I am wondering about the existence of a bounded operator $$ g : U' \rightarrow X'…
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A similarity-like transfromation with left-invertible matrix.

Suppose $X\in \mathbb R^{m\times n}$ $(m>n)$ is a left-invertible matrix, and its left-inverse is $X^+=(X^\top X)^{-1}X^\top$ (so that $X^+X=I$). Now I have a matrix $A\in \mathbb R^{n\times n}$. Define $B\triangleq XAX^+$. By computing some…
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Questions about Moore–Penrose inverse

I have some questions about Moore–Penrose inverse. Let $A, P\in \mathbb{R}^{d\times d}$. Suppose $A$ is positive definite and $P$ is a projection matrix with $P^2=P, P^\top=P$. I try to prove that $A^{-1}-(PAP)^{-}$ is semi-positive definite. Here…
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How to prove that any matrices have their own generalized inverse.

Let $A$ be a matrix with a form $(m.n)$, and $X$ be a matrix with a form of $(n,m)$. If $AXA = A$, $X$ is called a generalized inverse of $A$. How can we prove that any matrices have their own generalized inverse? \begin{eqnarray} \\…
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Invertibility modulo the intersection of ideals in $C^*$-algebras

Crossposted to mathoverflow due to low attention. Let $\mathcal{A}$ be a $C^*$-algebra and $A \in \mathcal{A}$. I am interested in the invertibility of $A$ modulo certain (two-sided) ideals $\mathcal{J} \subseteq \mathcal{A}$, i.e. the existence of…
Klaus
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Generalized inverse matrix rules

I would like to ask how free you are when you are calculating generalized inverses? I know, that it is said that there are infinite many of them, but we always usually choose submatrix such that elements are picked in square shape so it is easy to…
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