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Questions tagged [symmetric-matrices]

A symmetric matrix is a square matrix that is equal to its transpose.

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$|Ax|\leq |Bx|$ iff $A\leq B$

Let $A,B$ be positive semidefinite self-adjoint operator on some finite inner product space. Is it true that $|Ax|\leq |Bx|$ for every vector $x$ iff $A\leq B$ [this notation means $B-A$ is positive ...
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Condition for symmetry of $A'(x)x$

I have a differentiable matrix function $x\in\mathbb{R}^n \mapsto A(x)\in\mathbb{R}^{n\times n}$ where $A(x)$ is symmetric for every $x$. Since $A$ is differentiable the Jacobian $A'$ exists: $$(A'(x))...
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Computing inverse of a matrix without needing too much memory

I have matrix that is $36\times36$ and it has a structure as below $$ M= \left[ {\begin{array}{cc} B1 & B2 & B3 & B4 & B5 & B6\\ B2^H & B1 & B2 & B3 & B4 &...
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Given a positive definite matrix S, and a symmetric matrix A with small errors as S. How to prove that A is positive definite?

This is problem 4.14 in Multivariable Calculus with Applications by Peter D. Lax & Maria Shea Terrell. A symmetric 2 by 2 matrix $A$ has been computed numerically with small errors as a symmetric ...
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Eigenvectors of the product of a diagonal matrix and a symmetric matrix

We say that a set of vectors $\{\phi_k\}_{1 \leq k\leq n}$ is $A$-orthogonal if $\phi_i^T A \phi_j = 0$ whenever $i \neq j$. I am trying to prove the following result: Let $M$ be an invertible ...
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Conjugate to transpose via symmetric matrix

I am wondering for which square matrices $A \in M_n(\mathbb{F}_p)$ there exists an invertible symmetric matrix $S \in GL_n(\mathbb{F}_p)$ such that $$S^{-1}AS = A^t?$$ It is a classical result, over ...
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A conjecture about the convexity of matrix functions

$f: S_{++}^n \to \mathbf{R}$ is given, where $S_{++}^n$ denotes the set of all $n$-dimensional positive definite matrices. Suppose that $f$ is convex when $n=1$. The conjecture is whether $f$ is ...
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Prove a lower bound on eigenvalues of a class of matrices

I am not sure if this is trivial or not. Let $\mathbf{A} \in \mathbb{R}^{n \times n}$ be real and symmetric, with the property that $$ \mathbf{A}_{ii} = 1, \quad \mathbf{A}_{ij} \in [0,1], \quad i,j \...
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Decomposition of symmetric positive semi-definite matrices

Fix $A\in\mathrm{M}_n(\mathbb{R})$ a symmetric positive semi-definite matrix. Then there exists a matrix $M\in\mathrm{M}_n(\mathbb{R})$ such that \begin{equation} A=MM^\top+M^\top M. \end{equation} ...
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Can any matrix be decomposed into the product of a symmetric matrix and another matrix? [closed]

For any matrix $X\in\mathbb R^{m\times n}(m\leq n)$ that has full rank, i.e. $rank(X)=m$, can we find 2 matrices $Y\in\mathbb R^{m\times m}$ and $Z\in\mathbb R^{m\times n}$, s.t. $X=YZ$, $\enspace ...
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Can the Jordan algebra of equivariant maps on symmetric matrices generated by constants and endormorphisms map any two compatible elements

Let's $G$ be a subgroup of the orthogonal matrix group $O(n)$ acting by conjugation on $V$, the space of real symmetric matrices of size $n \times n$. Let's endow $V$ with an (non-associative) algebra ...
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Is there an explicit formula for the eigenvalues and eigenvectors of this particular symmetric matrix? [duplicate]

Consider a symmetric $n\times n$ matrix with the elements $A_{ij}=\min(i,j)$, i.e.: $$A=\begin{pmatrix} 1 & 1 & \cdots & 1 \\ 1 & 2 & \cdots & 2 \\ \vdots & \vdots & \...
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Computing the operator norm of a rank one matrix

Suppose I have $x$ is i.i.d. from some distribution, and we know that $||x|| \leq l$, and $\lambda_{max}(x x^\top) \leq c$. I am interested in computing $||x x^\top||_{op}$. My attempt is the ...
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Semi-definiteness of symmetric matrix with some zero diagonal elements

Let we have a symmetric matrix $$ A=A^T\in\mathbb R^{n\times n} $$such that some of its diagonal elements are zero. Is it true that $A$ is semidefinite only if it is diagonal?
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Prove that the Jacobi method converges for every $2 \times 2$ symetric definite positive matrix

Prove that the Jacobi method converges for every $2 \times 2$ system given by a symetrical definite positive matrix. I tried building the iteration matrix $B_J = -D^{-1} (L+U)$ given a matrix $$ A= \...
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Lower Bound on the Minimum Eigenvalue of a Hollow Symmetric Matrix with Entries in $[0,1]$

Let $\mathbf{A}$ be a hollow symmetric real $n \times n$ matrix, where each entry $A_{i,j} \in [0,1]$ and $A_{i,i} = 0$ for all $i$. I would like to establish a lower bound for the minimum eigenvalue $...
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Showing the bounds of two specific symmetric matrices

Let $M$ be an $n\times n$ symmetric matrix, partitioned as: $$M = \begin{bmatrix} A& B\\ B^T&C\end{bmatrix}$$ where $A$ is $k\times k$. Let $\alpha = \sum\limits_{i,j=1}^k a_{ij}$, $\beta = \...
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A question about tridiagonal complex symmetric matrix

I discovered a pattern when doing numerical experiments, a matrix with following form (tridiagonal, symmetric, real main diagonal,imaginary secondary diagonal): $$ M= \begin{bmatrix} k_1 &ig_1 &...
Ben Liu's user avatar
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Trace of product of symmetric matrix, Gram matrix and outer product of vectors

Suppose $u^1$, $u^2$, $u^3$ and $w$ are vectors in $\mathbb{R}^3$. Let $B$ be the matrix with entries $w_i w_j$ and $C$ be the matrix with entries the inner product $u^i \cdot u^j$. For the identity ...
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Approximating the eigenvalues of the multiplication of two matrix

I want to give the upper bound of the eigenvalue decay of a matrix $C=A^{-1} B$, to be more specific the upper bound of $\frac{\lambda_j}{\lambda_1}$ for each j. $\lambda_1\geq\lambda_2\geq\cdots\geq\...
ruihan xu's user avatar
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Bounds on the Eigenvalues of Perturbations of a Symmetric Matrix

Let us fix $\varepsilon\in (0,1)$ and $\beta\in\mathbb R$. Consider the $2 n\times 2n$ symmetric tridiagonal probability matrix $$Q_n :=\begin{bmatrix} 1-\frac{ε}{2} & \frac{ε}{2} & & &...
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Eigenvalues of the product of diagonalizable matrices

I am trying to understand how I can compute the eigenvalues of $A^{-1}B$ where $A$ and $B$ are diagonalizable matrices (in patricular, they are symmetric tridiagonal matrices). I know that $A$ can be ...
Math Undergrad Student's user avatar
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Efficient inversion of $A^T A + B^T B$

Consider matrices $A \in \mathbb R^{k \times n}, B(\eta) \in \mathbb R ^{l \times n}$, where $B$ depend on some parameters $\eta$. The matrix $A$ will be fixed. My problem is to compute $$ (A^TA + B(\...
smallStackBigFlow's user avatar
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Rank of a random matrix $A=B^T B$ where $ B$ is a random matrix

I am working on the rank of a random matrix (by random, I mean each element of the matrix could come from a certain distribution (could be normal)). Suppose $A= B^T B$, where $B$ is a $n \times m$ ...
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Given S.P.D. matrix $A\in\mathbb{R}^{n\times n}$, solve $X^\top A X=\mathbf{I}_{m\times m}$ for matrix $X\in\mathbb{R}^{n\times m}$.

Context: Given a symmitric positive definite (SPD) matrix $\mathbf{A}\in\mathbb{R}^{n\times n}$, solve the following for matrix $\mathbf{X}\in\mathbb{R}^{n\times m}$. $$ \mathbf{X}^\top\mathbf{A}\...
Uzair Akbar's user avatar
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Norm inequality about positive definite matrix, along with its symmetric form and skew symmetric form

I have difficulty in solving the following problem (P4.2.3 in 《Matrix Computations》) Suppose $A\in\mathbb{R}^{n\times n}$ be positive definite, and set T = (A+$A^T$)/2, show that $||A^{-1}||_2\leq ||T^...
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Limit of a matrix function

I am going through a proof from this book. More specifically, I am looking at the last paragraph on page 62 (78 in the PDF). I will reproduce it here for convenience: It claims that for a full rank ...
ba029188's user avatar
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A relation about norms of a block matrix.

Suppose $M = \begin{bmatrix} A & B \\ B^{T} & C \\ \end{bmatrix}$, where $A$ and $C$ are $n\times n$ real symmetric matrices and $B$ is an arbitrary $n\times n$ real matrix. By calculating ...
Saiba Midori's user avatar
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Generalized Inverse of Submatrices

Consider a symmetric and positive semi-definite $n\times n$-matrix $\Sigma$. For $k = 1,\dots, n$, let $\Sigma_k$ denote $\Sigma$'s Leading Principal Minor of of order $k$, i.e., the submatrix of $\...
Quertiopler's user avatar
4 votes
2 answers
135 views

Finding the determinant of a matrix under given conditions

Let $x_1, x_2, x_3, x_4, x_5 > 0$ and $A = [a_{ij}]_{5 \times 5}$ be a matrix such that $$ a_{ij} = \begin{cases} |x_i - x_j|, & \text{if } i \neq j \\ x_i, & \text{if } i = j \end{cases} $...
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Is the matrix $(Id - JQ)$ regular for any skew-symmetric matrix $J$ and symmetric positive semi-definite matrix $Q$? [duplicate]

Consider the matrix $(Id - JQ)$, where $Id \in \mathbb{R}^{n \times n}$ is the identity matrix, $J^T = - J \in \mathbb{R}^{n \times n}$ is a skew-symmetric matrix and $\mathbb{R}^{n \times n} \ni Q^T =...
Donnie's user avatar
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prove $x'X^{ +}=0$ where $X^{+}$ is the Moore-Penrose generalized inverse and $x'X=0$.

$X$ is an $n*n$ symmetric matrix and it is given that $x'X=0$ where $x$ is an $n*1$ vector. Let $X^{+}$ be the Moore-Penrose generalized inverse of $X$. How to prove $x'X^{ +}=0$?? I am struggling ...
Jack's user avatar
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-1 votes
1 answer
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Number of Independent Components of a totally symmetric rank-four tensor

I saw a question that asked to derive the number of independent components of a rank-four tensor in d dimensions. I know the formula $\frac{(d+r-1)!}{(d-1)!(r!)}$, where d is the number of dimensions ...
V Govind's user avatar
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How to recover the vector $x$ when multiplying it with a matrix $A$ that has a specific structure

I have the matrix with specific structure as below: $$A = \left[ \begin{matrix} a & -b& -c& d \\ b & e& -d& -f \\ c & -d& a& -b \\ d & f& b & ...
Sajjad's user avatar
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1 answer
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For what $A$ the linear map $f(B):=AB^T+BA^T$ surjective, defined as a linear map between suitable vector spaces defined below?

Let $V$ denote the space of $m\times m$ real square matrices. Let $W$ denote the space of $m\times m$ real symmetric square matrices. For an $m\times m$ square (not necessarily symmetric) matrix $A,$ ...
Learning Math's user avatar
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Kronecker product from vector half

I need to compute $D_p^\top(\Sigma\otimes \Sigma)D_p$, where $D_p$ is the duplication matrix and $\Sigma$ is a $p\times p$ symmetric matrix. When $p$ is large, the kronecker product becomes very large ...
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36 views

Matrix with equal row sums and column sums

Background: While studying (finite) Markov chains I came across a characterization, different than the one using a transition matrix $p_i(j)$. Namely, we can specify the "diagram" with ...
chickenNinja123's user avatar
2 votes
2 answers
74 views

Maximal eigenvalue of a real symmetric Toeplitz matrix, especially in the limit

Hi: In a research project I stumbled upon real symmetric Toeplitz matrices of the following type: $$ A_n = \begin{bmatrix} a_1 & a_2 & a_3 & \cdots & a_n\\ a_2 & a_1 & a_2 &...
Wollemol's user avatar
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0 answers
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What is the criterion for a symmetric complex matrix to be orthogonal-diagonalisable?

For a symmetric matrix $M\in\mathbb{C}^{n\times n}$ to be orthogonal-diagonolizable, I mean that there exists $P\in\mathbb{C}^{n\times n}$ such that $PP^T=I$ and $PMP^T$ is diagonal. Note that there ...
Yikun Qiao's user avatar
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The Limit of Power Law Toeplitz Matrices

Let $\mathbf A$ be an $N \times N$ symmetric Toeplitz with entries $A_{ij} = (1+|i-j|)^{-\chi}$ for an exponent $\chi$ above zero. Numerically, I can see that the minimum eigenvalue of $\mathbf A$ ...
Alex Atanasov's user avatar
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1 answer
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Rank of matrix $a_i \cdot b_j + a_j \cdot b_i$ [duplicate]

Find the rank of the matrix $d_{ij} = a_i \cdot b_j + a_j \cdot b_i$, where $a$ and $b$ are arbitrary vectors. I noticed that $C = a \cdot b^T = \begin{bmatrix} a_{1} \\ ... \\ ...
Disciple's user avatar
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How to obtain the row sum of the inverse of a symmetrix Toeplitz matrix?

Given a (real) symmetric Toeplitz matrix $A$: $$ A = \begin{bmatrix} a & b & c & \ldots & y & z \\\ b & a & b & \ddots & & y \\\ c & b & \ddots & \...
user3141592's user avatar
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1 vote
1 answer
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Suppose that the eigenvalue of largest magnetude of $P$ is simple. Is it true that the the same happens to $U P$ for any unitary matrix $U$?

Suppose that $P = [p_{i,j}]_{1\leq i,j\leq n}$ is an $n\times n$ matrix such that: $p_{i,j}\geq 0$ for all $i,j\in\{0,1,\ldots,n\};$ $\sum_{j=1}^n p_{i,j}=1$; $P$ is a symmetric matrix, $p_{i,j}=p_{j,...
Matheus Manzatto's user avatar
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1 answer
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Eigenspace of sum of outer product.

I am investigating the eigenspace of the matrix: $$ \frac{1}{k}\sum_{i=1}^k \mu_i \mu_i^T + \sigma^2I \in \mathbb{R}^{d\times d}$$ where $k < d$. I want to ask if the eigenspace $V_k$ spanned by ...
Romeo Liu's user avatar
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0 answers
27 views

Indefinite matrix and congruence transformation

Let $a,b \in \mathbb R$ and consider the matrix $$M =\begin{bmatrix} a-1 & a \\ a & b+a-1 \end{bmatrix}. $$ I want to derive the sharpest conditions possible for $a,b$ for which the matrix $M$ ...
Trb2's user avatar
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3 votes
2 answers
113 views

What is the connection between bilinear and quadratic forms.

I know that a bilinear form $B$ on the $\mathbb R$-vector space $\mathbb R^n$ is defined to be a map $B:\mathbb R^n\times \mathbb R^n\to \mathbb R$ which is linear in each coordinate.We know that a ...
Kishalay Sarkar's user avatar
0 votes
2 answers
100 views

Quadratic form of a real symmetric matrix is bounded

If $\lambda_1>\lambda_2>...>\lambda_r$ are the different eiegenvues of a real symmetric matrix $A\in M_{n\times n}(\mathbb{R})$. $1.$ Show that the quadratic form associated to $A$ satisfies ...
user926356's user avatar
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3 votes
0 answers
52 views

Eigenvalues of product of diagonal matrices and Sylvester-Hadamard matrices

Set $n=2^k$ (for some integer $k$) and let $D={\rm diag}(d_1,d_2,\cdots,d_n)$ and $D' = {\rm diag}(d_1', d_2 ,\cdots, d_n')$ be two diagonal matrices in $\mathbb C^{n \times n}$. Let us also presume ...
Ruben Verresen's user avatar
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32 views

Reasoning for reduced SVD factorization

I am aware that for any $m \times n$ matrix $A$, we can write: Known 1: $A = U\Sigma V^T$ where $U$ is orthogonal and $m \times m$, $V$ is orthogonal and $n\times n$, and $\Sigma$ is diagonal and $m \...
doctorpigeonhole's user avatar
2 votes
1 answer
58 views

Rank of a matrix $A$

Let $$A=\begin{pmatrix} a_{11} & a_{12} & a_{13} & a_{14} \\ a_{12} & a_{13} & a_{14} & a_{24} \\ a_{13} & a_{14} & a_{24} & a_{34} \\ a_{14} & a_{24} & a_{...
Sandeep Tiwari's user avatar

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