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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 ...
Eric Ley's user avatar
  • 1,194
1 vote
1 answer
47 views

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 ...
Jason Qian's user avatar
2 votes
1 answer
40 views

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 ...
Villa's user avatar
  • 1,018
1 vote
1 answer
60 views

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 ...
Geoffrey Janssens's user avatar
1 vote
1 answer
69 views

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 \...
Pink and Floyd's user avatar
2 votes
0 answers
53 views

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} ...
Jacques's user avatar
  • 531
0 votes
0 answers
27 views

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 & \...
QuantumWiz's user avatar
0 votes
1 answer
38 views

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 ...
sma's user avatar
  • 336
0 votes
1 answer
40 views

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?
mm12's user avatar
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0 votes
0 answers
36 views

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= \...
lmendezayala's user avatar
2 votes
0 answers
51 views

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 $...
Ran's user avatar
  • 51
0 votes
0 answers
34 views

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 = \...
StuckInTheFridge's user avatar
0 votes
0 answers
28 views

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
8 votes
0 answers
287 views

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} & & &...
Matheus Manzatto's user avatar
0 votes
0 answers
50 views

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
0 votes
1 answer
50 views

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
0 votes
0 answers
30 views

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
0 votes
0 answers
37 views

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
1 vote
0 answers
43 views

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
1 vote
0 answers
81 views

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
0 votes
0 answers
32 views

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
  • 1
1 vote
1 answer
62 views

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
  • 167
3 votes
1 answer
83 views

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
0 votes
1 answer
78 views

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
  • 371
1 vote
1 answer
51 views

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
0 votes
1 answer
39 views

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
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
  • 1,392
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
0 votes
0 answers
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
2 votes
2 answers
122 views

$A^3=A$, ${\alpha }^{T}{A}^{T}{A\alpha } \leq {\alpha }^{T}\alpha$ implies $A$ is symmetric?

Let $n\times n$ real matrix $A$ satisfies ${A}^{3} = A$; and for any $\alpha\in\Bbb R^n$, we have ${\alpha }^{T}{A}^{T}{A\alpha } \leq {\alpha }^{T}\alpha$, prove that $A$ is symmetric. My attempt: $...
xldd's user avatar
  • 3,713
1 vote
2 answers
68 views

Congruent diagonalization using row and column operations

Let $$A=\begin{pmatrix} 1 & 2 & 3\\ 2 & 4 & 6\\ 3 & 6 & 9 \end{pmatrix}.$$ Find an invertible matrix $P$ such that $P^tAP$ is diagonal. Let me start by saying that I already ...
user926356's user avatar
  • 1,392
0 votes
1 answer
39 views

Is it true that $D A P D^T = A D P D^T$ if $P$ is symmetrical, positive definite and $D$ is diagonal?

I know in general, matrix multiplication is not commutative, but would it be true in this special case? $D A P D^T = A D P D^T$ where $A, D, P$ are all $n by n$ matrix. But $P$ is symmetrical and ...
zvi's user avatar
  • 199
1 vote
0 answers
50 views

How to decompose the Hessian matrix of a 3rd degree polynomial into 2 or more vectors/matrices?

I am trying to figure out what can be said about the spectral radius of the Hessian of a 3rd degree random polynomial defined over a unit hypercube, drawing on known results in random matrix theory. ...
ufghd34's user avatar
  • 113
0 votes
1 answer
47 views

Determine if inner product over a real vector space has a certain form

Verify if the following statement is true: Every inner product on $\mathbb{R}^n$ has the form $\langle v,u\rangle = v(Au),$ where $A$ is a symmetric matrix with positive entries on the diagonal. I ...
user926356's user avatar
  • 1,392
0 votes
0 answers
40 views

Find values which make two matrices congruent

For which values of $a\in\mathbb{R}$ are the following matrices congruent? $$A=\begin{pmatrix} 1&4-a-a^2\\ 2& -1 \end{pmatrix}$$ $$B=\begin{pmatrix} -a-1 & 3\\ 3 & -5 \end{pmatrix}$$ ...
user926356's user avatar
  • 1,392
1 vote
0 answers
21 views

Fastest way to divide by a symmetric positive matrix

Say $P_{yx}$ is a general $(n_y,n_x)$ matrix. Say $P_y$ is symmetric, positive definite, of size $(n_y,n_y)$. I want to compute $GT=P_y\backslash P_{yx}$ (matrix left division, or perhaps more ...
Parker Lewis's user avatar
1 vote
1 answer
40 views

A matrix inequality $X - \frac{1}{u^\top Xu} Xuu^\top X \succeq Y - \frac{1}{u^\top Yu} Yuu^\top Y$

Problem. Let $n\ge 2$. Let $X, Y$ be $n\times n$ real symmetric positive definite (PD) matrices with $X \succeq Y$ (i.e. $X - Y$ is positive semi-definite (PSD)). Let $u\ne 0$ be a $n\times 1$ real ...
River Li's user avatar
  • 42.7k
1 vote
1 answer
65 views

If $B$ is PD in null space of $A\in \mathbb{R}^{m\times n}$ then exists $r \in \mathbb{R}$ such that $B+rA^TA$ is PD

If a symmetric matrix $B$ is PD in null space of $A\in \mathbb{R}^{m\times n}$, with rank$A=m<n$, then exists $r \in \mathbb{R}$ such that $B+rA^TA$ is PD. What I've tried is the following: If $x\...
piero's user avatar
  • 460
1 vote
0 answers
75 views

A question about permutation similarity of symmetric matrices

Let $A , B \in M_{4 \times 4}(\mathbb{R}_{\geq 0})$. Matrices $A, B$ are $\textbf{permutation similar}$ if there exists a permutation matrix such that $A= PBP^T$. Define $\mathrm{diag}(A)$ to be the ...
Sajid Bin Mahamud's user avatar
2 votes
2 answers
73 views

$E$ is finite-dimensional Euclidean space over $\mathbb{R}, x \in E, x \neq 0$. Then $\{Ax: A = A^* \succeq 0, \|A\| \leq 1\}$ is a closed ball

Let $E$ be a finite-dimensional Euclidean space over $\mathbb{R}$ and let $x \neq 0$ be a vector in $E$. Show that the set $K=\{Ax: A = A^* \succeq 0, \|A\| \leq 1\}$ is the closed ball of radius $\...
Aram Nazaryan's user avatar
0 votes
0 answers
39 views

Equivalence for a matrix to be symmetric

Let $A\in\mathbb R^{n\times n}$ with the QR-decomposition $A=QR$ ($Q$ orthogonal, $R$ upper triangular matrix). I asked myself if the following statement holds: $$A\in\mathbb R^{n\times n}\text{ ...
PeteMath555's user avatar
0 votes
1 answer
55 views

$A-B$ semi positive definite can tell us the information of the positive inertia index

Suppose $f,g$ are symmetric real quadratic forms on $\mathbb{R}^n$ such that $f(x)\geq g(x)$ for all $x\in\mathbb{R}^n$. Prove that the positive inertia index of $f\geq$the positive inertia index of $...
Louis Wiles Young's user avatar
0 votes
0 answers
48 views

Inverse and Determinant of Matrix $Axx^TA+cA$

Fix $c \in \mathbb{R}$, a symmetric (if needed, positive definite) $n \times n$ real matrix $A$, and $x \in \mathbb{R}^{n \times 1}$. I need help computing the determinant and inverse of the $n \times ...
温泽海's user avatar
  • 2,953
0 votes
0 answers
33 views

How to compute Sylvester form of a matrix representing a symmetric bilinear form?

Can somebody state a step-by-step algorithm to, given a symmetric n x n-matrix A, (congruently) diagonalize A such that the entries of the diagonal are 1, -1 and 0 corresponding to the signature of A ...
romanson's user avatar
1 vote
0 answers
36 views

Singular values as min max of absolute rayleigh quotient

Consider a real symmetric matrix M, satisfying $\mathbf{1}^\intercal M = \mathbf{1}^\intercal$ having eigenvalues $1=\lambda_1 \gt\|\lambda_2\| \geq \|\lambda_3\| .... \geq \| \lambda_n\|$, then can I ...
the-nihilist-ninja's user avatar
0 votes
1 answer
31 views

Lyapunov Special Symmetric Case [closed]

Consider the Lyapunov equation: $$AX+XA = B$$ and assume that $A$ is symmetric positive definite and $B$ is symmetric. I am not able to proof that $X=X^{T}$ holds. Would be grateful if somebody could ...
Lost_In_Math's user avatar
1 vote
1 answer
84 views

Proving rank of $A-\lambda vv^t $ is $r-1$.

Let $A$ be an $m\times m$ symmetric real matrix of rank $r$ s.t. $r\ne m$.If $\lambda$ nonzero is an eigenvalue of $A$ with corresponding unit column vector $v$ s.t. $Av=\lambda v$.Then prove the ...
user avatar
0 votes
2 answers
54 views

Writing convention of Courant–Fischer theorem

Let $A \in \mathcal{M}_n(\mathbb{R})$ be a symmetric matrix and $\lambda_1 \leq \lambda_2\dots\leq\lambda_n$ be its real eigenvalues taken with multiplicities. Let $1\leq i_1 \leq i_2\dots\leq i_k\leq ...
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