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1 vote
1 answer
93 views

Matrix norms translating with identity matrix

Let $\mathcal{A}$ denote a linear operator, $\mathcal{A}^*$ its adjoint, and $\text{I}$ the identity matrix. Is the norm of $\mathcal{A}$ related to the norm of $\mathcal{A}^* \mathcal{A} - \text{I}$? ...
iglesias's user avatar
0 votes
0 answers
381 views

upper bound for quadratic form in terms of vector norm and eigenvalues

I have a quadratic form. if Q, P and M are positive and symmetric matrices. $$(-x^T Q x - 2 x^T Q e - e^T Q e) + (y^T M y + 2 x^T P y + 2 e^T P y )$$ how can I get an upper bound for this quadratic ...
reza's user avatar
  • 1
0 votes
1 answer
368 views

Relationship between $\|AB\|_*$ and $\|A\|_*\|B\|_*$

Suppose we have two matrices $A\in \mathbb{R}^{m \times n}$ and $B\in \mathbb{R}^{n \times p}$, then what's the relationship between $\|AB\|_*$ and $\|A\|_*\|B\|_*$? The notation $\|\cdot\|_*$ means ...
Ryan's user avatar
  • 20
4 votes
1 answer
59 views

After applying a sequence of involutory real matrices to a vector, is the norm of this vector bounded from below?

For $n,N \in \mathbb{N}$, let $A_1, \ldots, A_n$ be a finite sequence of involutory $(N \times N)$-matrices over $\mathbb{R}$, i.e. $A = A^{-1}$. We know, that the eigenvalues of any involutory matrix ...
Michael Kohlhaas's user avatar
2 votes
1 answer
227 views

Show that $\|A\|_{\infty} \leq \sqrt n \|A\|_2$

Question: Let $A \in \Bbb R^{m\times n}$. Show that $$\|A\|_{\infty} \leq \sqrt n \|A\|_2$$ Attempt: First, I tried invoking the SVD (Singular Value Decomposition) of $A$: $$\|A\|_\infty = \|UDV\|...
glowstonetrees's user avatar
1 vote
0 answers
78 views

Trace and 2-norm of linear combination of outer products

Suppose that $c_i \in \mathbb{R}-\{0\}, B_i \in \mathbb{R}^{k \times m}, \alpha \in \mathbb{R}^k$ with $\|\alpha\|_2 = 1$. Consider the following linear combination of outer products: $$M = \sum_{i=1}...
KRL's user avatar
  • 1,180
0 votes
1 answer
35 views

What conditions should vector $x$ satisfy so that $\|[x_2+\alpha x_1, \dots, x_n + \alpha x_1]\|_2$ is bounded by a constant?

Suppose that $x = [x_1,\dots,x_n]$ is a vector with norm less than or equal to one $\|x\|_2^2 \leq 1$. Let $\alpha \in [0,1]$ and define the following vector $$y = [x_2+\alpha x_1, \dots, x_n + \...
KRL's user avatar
  • 1,180
1 vote
1 answer
609 views

Find an upper bound on the expectation of squared norm given an upper bound on the expectation of norm

For non-independent random vectors $X, Y$, I have an upper bound on the expectations $E[\|X\|_2] \leq a, E[\|Y\|^2_2] \leq b$. How can I compute an upper bound for $E[\|X^\intercal Y\|_2]$ or $E[\|X^\...
KRL's user avatar
  • 1,180
1 vote
0 answers
60 views

2-norm of product of multiple matrices

Suppose that $A \in \mathbb{R}^{m,n}$ and $B \in \mathbb{R}^{n,m}$ and $A$ has a bounded 2-norm. We know that $AB$ is a positive semi-definite matrix with $\|AB\|_2 \leq 1$. Further, assume that $C \...
KRL's user avatar
  • 1,180
0 votes
1 answer
122 views

upper bound for the norm of vector belonging to the column space of a matrix

If $u$ is a vector that belong to the column space of a matrix $A$ and $\sigma_{\min}(A)$ is the smallest non zero eigenvalue of $A^T A$, then I read in a paper that we can write $$ \sigma_{\min}(A)^{\...
Chao's user avatar
  • 105
3 votes
0 answers
244 views

Upper bound the maximum column sum of a particular stochastic matrix

Let $(x_i)_{i=1}^N$ be a set of vectors in $\mathbb{R}^D$. Define the matrix $W \in \mathbb{R}^{N \times N}$ as: $W_{ij} = \frac{\exp(-||x_i-x_j||^2)}{\sum_k \exp(-||x_i-x_k||^2)}$ i.e. row $i$ of $...
hyunjik11's user avatar
0 votes
1 answer
21 views

$L_1$ distance between re-normalized points

Let $\mathbf{x},\mathbf{y} \in (0, \infty)^d$. Are there general relations between $ \Vert \mathbf{x}-\mathbf{y} \Vert_1 $ and $ \left\Vert \frac{\mathbf{x}}{\Vert \mathbf{x}\Vert_1} -\frac{\mathbf{y}...
Jack London's user avatar
  • 1,786
1 vote
1 answer
133 views

Finding an upper bound on composite $C^{1}$ functions

The conditions for the problem I am currently tackling is as follows: Let $T, M > 0$. Define : $X_{T} := \{ u \in C^{1} ([0,T]) : ||u||_{T} \leq 2M \}$ where $||u||_{T} \ = \ ^{\text{sup}}_{t \in (...
gbnhgbnhg's user avatar
  • 467
1 vote
0 answers
99 views

Norm equivalence constants

Take a polynomial $g\in\mathbb{R}[\mathbf{x}]$, in $n$ variables and having some degree $d$, with $g(\mathbf{x})\geq 0$. We define the $p$-norms of $g$ as $$ \vert \vert g \vert \vert _{p} = \left( \...
SpicyJalapenos's user avatar
1 vote
1 answer
298 views

Bounding the dot product of two planar unit vectors.

Does there exist a continuous, monotone increasing function $f\colon[0,2]\to [0,1]$, satisfying $f(0)=0$ and $f(1)=1$, such that for all vectors $(a_1,b_1),(a_2,b_2)\in \mathbb{R}^2$ of unit length, i....
Aerinmund Fagelson's user avatar

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