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5 votes
1 answer
196 views

What is the "natural" or "physical" norm on the Hessian matrix (and other higher derivatives)?

Let $u : \mathbb R^n \rightarrow \mathbb R$ and let $H : \mathbb R^n \rightarrow \mathbb R^{n \times n}$ be its Hessian matrix. What is the "natural" choice of pointwise norm on the Hessian ...
AlpinistKitten's user avatar
2 votes
1 answer
87 views

Symmetric and anti-symmetric matrices and maximal eigenvalues

Suppose we start with a symmetric $n \times n$ matrix $A$, the elements of which are either $1$ or $0$. All the diagonal elements of this matrix are set to be $0$. So, $\lambda_{\text{max}}=\sup \...
Alapan Das's user avatar
  • 1,755
5 votes
1 answer
319 views

Analytical form for the nuclear norm of an $n \times n$ matrix

I get the follow equation in a paper. Let $A \in \mathbb{R}^{2 \times 2}$, then $M = A^TA$ is a positive semi-definite matrix, the nuclear norm of $A$ is: $$ \Vert A \Vert_* = \sqrt{\operatorname{tr}(...
zhamao dra's user avatar
0 votes
0 answers
174 views

Lipschitz map on positive definite cone of $n$-by-$n$ matrices

A function matrix $f : X \to \mathbb R$ is a convex Lipschitz continuous matrix function with Lipschitz constant $\mathrm L$ with respect to a fixed given norm $\|\cdot\|$, i.e., $|f(A)-f(B)| \leq \...
Reza's user avatar
  • 91
1 vote
0 answers
139 views

A lower-bound on matrix-function with vector product

I am currently trying to show that a sequence of homeomorphisms converges to some limiting homeomorphism using Anderson's the inductive convergence criterion. However I can't explicitly compute the ...
ABIM's user avatar
  • 5,405
1 vote
1 answer
128 views

Asymptotic behavior of a matrix equation and its eigenvalues

We have a matrix valued function $A:\mathbb{R}_+\to \mathbb{R}^{m\times m}$. It is known that $A(\lambda)$ is a positive definite matrix for all $\lambda\in\mathbb{R}_+$ Denoting $\rho_i(A(\lambda))$ ...
Rajesh D's user avatar
  • 698
2 votes
0 answers
186 views

Bounding the condition number of a matrix associated with an even symmetric positive definite function

Define a set $A = \{x_i/x_i\in\mathbb{R}^m, i = 1,2,3..n\}$. Let $f:\mathbb{R}^m\to(0,\infty)$ be an even symmetric positive definite function. Let $D = [d_{i,j}]$ be an $n\times n$ matrix such that $...
Rajesh D's user avatar
  • 698
2 votes
0 answers
87 views

Conditions for $B$ that make $ADB + (ADB)^T$ positive (semi-)definite

I am trying to find conditions under which this dynamical system converges. At the end of the day, we have something like $$ 0 \leq x^TD_0W_0D_1W_1D_2 \dots W_ND_NCx $$ With $D_i$ matrices that are ...
Robert's user avatar
  • 121
7 votes
1 answer
304 views

Argument principle for matrices

Let $f,g$ be entire functions, then the argument principle teaches us that $$\frac{1}{2\pi i}\int_{\mathbb{C}} g(z) \frac{f'(z)}{f(z)} dz$$ is equal to $g$ evaluated at the zeros of $f.$ Now, let ...
Zehner's user avatar
  • 167