Questions tagged [normed-spaces]

A vector space $E$, generally over the field $\mathbb R$ or $\mathbb C$ with a map $\lVert \cdot\rVert\colon E\to \mathbb R_+$ satisfying some conditions.

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What are the limitations of polyhedral norm?

Polyhedral norm is ||(x_1,x_2,...,x_n)||(k) =max(1≼i_1<...<i_k≼n)__[ε_i∈{-1,1}] (ε_1 x_(i_1)+ε_2 x_(i_2)+...+ε_k x_(i_k) [I am giving the latex code for better understanding of the norm |(x_1, ...
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Existence and continuity of inverse operator

Let $E$ and $F$ be normed spaces. Let $T:E \to F$ is a linear operator and suppose that exists $c>0$ such that $$\|T(x)\| \geq c \|x\|, \quad \forall x \in E.$$ Then it's easy to see that $\...
Guilherme Costa's user avatar
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Why metric equivalence does not preserve completeness but norm equivalence does? [duplicate]

I was studying Functional analysis when I came across the normed space equivalence i.e. equivalent norms. I already proved that equivalent norms on a vector space $X$ over field $\mathbb{R}$ or $\...
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Bounds on the norm of Lie Bracket with respect to Killing Form

If we have a Lie algebra $(V, [,])$ then the Lie bracket is a bilinear map $$ [, ]: V \times V \to V $$ Assuming $V$ is finite dimensional, this map is bounded and so, for any choice of norm, there ...
Holmes's user avatar
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Complete space relative to specific norm

Let $X=\{f\in C^1([0,\infty, \mathbb{R})): \lim_{t\to\infty}\frac{f(t)}{1+t}=\lim_{t\to\infty} f'(t)=0\}$. How to prove that $X$ is Banach space, if norm is defined as $\|f\|=max(\sup_{t\geq 0}\frac{|...
alans's user avatar
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Prove: Bounded Linear transformation T hold norm for operator $\sqrt{(Tf_1)+(Tf_2)+...+(Tf_N)}$ [closed]

Suppose T is a bounded linear transformation mapping the space of real-valued $L_p$ functions into itself with $||T(f)(x)||_{L_p} \leq M||f(x)||_{L_p}$.Prove: Let $T^{'}$ be the extension of $T$ to ...
common jucie's user avatar
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Ratio of l1/l2 norm over n dimensional vector

According to here $$\frac{(|c_1|+|c_2|+\cdots+|c_n|)^2}{c_1^2+c_2^2+\cdots+c_n^2}\geq 1$$ The equality holds when for each $i\neq j\in[n]$, $|c_i||c_j|=0$. Could we improve the lower bound by ...
chloe's user avatar
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If two norms induce the same topology on a vector space $V$ over a field $K$ with an absolute value, then they are equivalent

We say two norms $\|\cdot\|_1,\|\cdot\|_2$ are equivalent if there exists reals $c,C>0$ s.t. $c\|x\|_2 \leq\|x\|_1 \leq C\|x\|_2$ for all $x\in V$. If two norms $\|\cdot\|_1,\|\cdot\|_2$ induce the ...
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Are these two Hölder-type inequalities valid?

Hereinafter, we use $p$-norm ($p\geqslant1$) in $n$-dimensional Euclidean space, which is given as $\|x\|_p=(\sum_{i=1}^n|x_i|^p)^{1/p}$. As we know that, the following inequality holds for all $x\in\...
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Boundedness of the Laplacian Eigenfunctions

I have a doubt regarding the Laplacian eigenfunctions $\left\{\phi_n\right\}_{n=1}^\infty$ with Dirichlet boundary conditions. I know that the functions form an orthonormal basis in $L^2$ and an ...
mathmath's user avatar
1 vote
2 answers
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Prove that $\{f_n : n \in \mathbb{N}\}$ is closed in $C([0,1], \mathbb{R})$

Let $X = C([0,1], \mathbb{R})$ with the supremum norm: $||f|| = \sup\{\lvert f(x)\rvert : x \in [0,1]\}$. Define the functions $f_n \in X$ by $$ f_n(x) = \begin{cases} nx & \text{if } 0 \leq x ...
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Characterizing Strict Convexity in $B^* $-Spaces over Complex Fields

Statement: Let $ X $ be a $B^*$-space over the complex field $ \mathbb{C} $. We aim to prove that $ X $ is strictly convex(i.e.for any $ x, y \in X $ where $ x \neq y $ and $ \|x\|, \|y\| = 1 $, ...
Matrix AC's user avatar
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Proving a sequence of functions is Cauchy, but not convergent in a normed space.

$$f_n : [0,2] \to \Bbb R : x \mapsto f_n(x)= \begin{cases} x^n & \text{if } x \in[0,1] \\ 1 & \text{if } x \in (1,2] \end{cases}$$ for $$n \in \Bbb N$$. Show that the sequence $$f_n$$ is a ...
clumsyclot's user avatar
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Continuity on countably-normed Hilbert spaces

i was studying some Quantum Mechanics from this doctorate's work http://galaxy.cs.lamar.edu/~rafaelm/webdis.pdf and ata certain point, in Proposition 2 pag. 166 he means to prove the continuity of an ...
Marco Lugarà's user avatar
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1 answer
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Question about a set in a normed linear space

Let's say X is a normed, linear vector space over $\mathbb{C}$ that is complete with respect to the metric given by the norm. Let F be a subset of X that is closed and bounded. Question: is the set $\...
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$X+Y$ is closed iff $\inf\{||x-y||: ||x||=1, y \in Y\} > 0$

Prove that $X+Y$ is closed, where $X$ and $Y$ are closed normed subspaces of $Z$ and $X \cap Y = \{0\},$ iff $\inf\{||x-y||: ||x||=1, y \in Y\} > 0.$ This question looks easy but has me stumped ...
AlexanderPope's user avatar
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1 answer
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For every functional on $l_p$ it exists a sequence that determines it uniquely

I am trying to prove this excercise from my Functional analysis book: Let $p \in (1, + \infty ) \subset \Bbb{R}$, $q = (1- \frac{1}{p})^{-1}$ and denote $l_p$ the space of $p-$bounded sequences of a ...
Superdivinidad's user avatar
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Seminorm of sum of two elements

I have a fundamental question about semi-normed spaces: Let $(V, |\cdot|)$ be a semi-normed space and let $x,y \in V$ such that $|x| > 0 $ and $|y| = 0$. Can something be said about the seminorm of ...
The_Rookie's user avatar
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Completeness of finite dimensional normed vector spaces without using equivalence of norms

I believe completeness of finite dimensional normed vector spaces can be proven by showing completeness of all finite dimensional vector spaces under some conveniently chosen norm and then appealing ...
Mithrandir's user avatar
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Strict convexity of norm

Let $E$ be a Banach space and $B(E)$ (resp.~$S(E)$) be the closed unit ball (resp.~the unit sphere) of the Banach space $E$. $E$ has strictly convex norm if for each pair of elements $x, y \in S(E)$ ...
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Prove that $\langle x, y \rangle = \overline{\langle y, x \rangle}$

Let $X$ be a normed linear space over the field $\mathbb C$ with the norm $\|\cdot \|$. Let $x,y \in X$. Define $\displaystyle \langle x, y \rangle =\frac{1}{4} \sum_{k =0}^{3} i^{k} \Vert x +i^k y\...
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$S \in \mathcal{L}(L^1(\Omega))$, find $T^* \in \mathcal{L}(L^\infty(\Omega))$ with $T^*g = Sg \forall g \in L^1(\Omega) \cap L^\infty(\Omega)$

Below I will bring a passage from Heat Kernels by Wolfgang Arendt (Theorem 4.3.3, page 52). I need to understand it and write a more verbose report based on the chapter, however I am stuck at this ...
Meta-chan's user avatar
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dual space of l2 with strange norm

Consider $\displaystyle(\ell_2, \lVert\cdot\rVert_\star), \lVert x\rVert_\star = \sum\limits_{k=1}^{\infty}\frac{|x(k)|}{k}$. What is its dual space? Is this space reflexive? My idea is to consider $\...
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Generalised directions

Let $X$ be a normed space, $A$ a real vectorspace. Let a map $\phi:X \setminus \{0\} \to A$ such that it satisfies the following properties $\phi(\lambda x) = \phi(x)$ for every $\lambda >0$ if $\|...
blomp's user avatar
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let X is a normed vector space. if $ D \subseteq X$ is a balanced set $ D^0 \cup \{0\}$is a balanced set.

I tried to prove that: "Let $X$ be a normed vector space. If $D \subseteq X$ is a balanced set then $D^0 \cup \{0\}$ is a balanced set." $D^0$ is the interior of $D$. I tried to prove it ...
A12345's user avatar
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"Best" Submultiplicative / Subordinate norm?

I have $y = Ax$ where x, y are vectors and $A$ is a matrix. I want to get the best $K$ such that $||y|| \leq K||x||$. Ideally, $K$ is a matrix norm. Especially, $K$ can be a subordinate matrix norm. I ...
Debojjal Bagchi's user avatar
1 vote
1 answer
41 views

Papa Rudin $6.16$ theorem case 2.

There is the theorem: Suppose $1\leq p \lt \infty $, $\mu$ is a $\sigma$-finite positive measure on $X$, and $\varphi$ is a bounded linear functional on $L^{p}(\mu)$. Then there is a unique $g \in L^{...
JohnNash's user avatar
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Product of commutative symmetric positive definite matrices

Let A and B be commutative symmetric positive definite matrices. The goal of the question was to show that $||x||_{A,B}=\sqrt{<Ax,Bx>}$ is a norm in $\mathbf{R}^n$, where $<x,y>$ is the ...
nileebolt's user avatar
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1 answer
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The closed unit ball of a normed space X is compact iff X is finite-dimensional

I have a question about this theorem: " The closed unit ball of a normed space X is compact iff X is finite-dimensional." if I take (R,+,.,Q) R is a infinite dimensional vector space when ...
A12345's user avatar
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$f_j \rightharpoonup f$ and $g_j \rightharpoonup g$ weakly in $H^1(\Omega)$ $\Rightarrow$ $\nabla(f_kg_k)\rightharpoonup \nabla(fg)$ in $L^p(\Omega)$

Suppose that $\Omega \subset \mathbb{R}^d$ is bounded with a Lipschitz boundary and $f_j \rightharpoonup f$ and $g_j \rightharpoonup g$ weakly in $H^1(\Omega)$. Show that, for a subsequence, $\nabla(...
Mr. Proof's user avatar
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Papa Rudin $6.16$ theorem.

There is the theorem: Suppose $1\leq p \lt \infty $, $\mu$ is a $\sigma$-finite positive measure on $X$, and $\phi$ is a bounded linear functional on $L^{p}(\mu)$. Then there is a unique $g \in L^{q}(\...
JohnNash's user avatar
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1 vote
1 answer
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Inequality regarding Matrix Norm and Inverse Matrix

Currently, I'm stuck to one of a statement in a paper. Following is a brief summary of the paper regarding my question. (although the topic of the paper is mainly statistics, the question purely ...
jason 1's user avatar
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Inequality for inverse of an unbounded self-adjoint operator

Given an unbounded self-adjoint operator $A$ on some Hilbert space $\mathcal{H}$, and $\mu$ a non zero real number: I want to show that \begin{equation} \lVert (\mathbf{A} + i\mu \mathbf{I})^{-1} \...
Alessandro Tassoni's user avatar
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Derivative in normed space

I'm studying the Differential Calculus Functions of several variables. Let $f:A\subset\mathbb{R}\to\mathbb{R}^n$ is differentiable with $||f(t)||>0$ for all $t\in A$. Prove that: $$u(t)=\dfrac{f(t)}...
Lê Trung Kiên's user avatar
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How do you present the absolute value as a norm and derive results?

I asked myself a question while reading the post: Absolute value of complex numbers $|a+bi|$ . Let us take Euclidean space $\mathbb R^2$, with dot product noted $\langle .,.\rangle:\mathbb R^2 \times \...
Stéphane Jaouen's user avatar
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1 answer
22 views

Matrix norm that keeps order relation when applied to a vector

Let $M_{n\times n}$ be the vector space of real square matrices of size $n\times n$. Does there exist a matrix norm $\left\lVert\cdot\right\rVert_M$ such that if $\left\lVert A\right\rVert_M \leq \...
Joshhh's user avatar
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Jacobian of seminorm on $\mathbb R^n$

As follows $\mathcal{H}^n$ denotes the $n-$dimensional Hausdorff measure and $\omega_n$ denotes the volume of the unit ball on $\mathbb R^n$. In the article Rectiable sets in metric and Banach spaces ...
Nick_W's user avatar
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3 votes
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Necessary and sufficient conditions for a product of norms to be the square of a norm

Let $(E,N)$ be a normed space, and $M$ be another norm. Can you find a necessary and sufficient condition on $M$ so that $\sqrt{NM}$ is also a norm on $E$? I hink the condition is that $M$ is ...
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Help Needed: Proving Equivalence of Inner Product and Parallelogram Law [duplicate]

Problem: Let $(X, || \cdot ||)$ be a normed space. Prove that the following are equivalent: i) There exists an inner product $< \cdot , \cdot >$ on $X$ such that $||x|| = \sqrt{< x, x >}$ ...
cif's user avatar
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1 vote
1 answer
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(Why) is the norm of a RKHS positive definite?

$ \newcommand{\real}{\mathbb{R}} $ A $\color{red}{\text{(strictly)}}$ positive definite kernel $k: \real^d\times \real^d \to \real$ satisfies for all $x_i \in \real^d$, $a=(a_1,\dots, a_n)\in \real^d$ ...
Felix B.'s user avatar
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Show that $f$ is differentiable at $a$ if and only if $f(tx+(1-t)a)$ has derivative at $0$ for all $x$

In the book "A Graduate Course on Statistical Inference" (as you can see in this link) there's the following passage: "[a function] $f(\theta )$ is differentiable at $\theta _0$ if and ...
rfloc's user avatar
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Uniqueness of extension of the normed space structure to a larger topological space

The following popped up when I was contemplating the completion of normed linear spaces. Question: Let $E$ be an NLS (normed linear space) and $X$ a topological space. Let $E$ sit inside $X$ as a ...
Atom's user avatar
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1 vote
1 answer
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Determining the norm of a linear operator of a normed R-vector space.

I have been trying to solve an exercise in Normed Vector Spaces, and I'm stuck in the 2nd question. My answer to the 1st question: We have $\varphi$ linear. Let $$||\varphi(f)||_{1} = \int_0^1 |\...
Anis's user avatar
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2 votes
1 answer
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Proving a characterization of the Dense Linear Subspaces on a Normed Space

Let $(E, \lVert \cdot \rVert)$ a normed space over a field $\Bbb{K}$ and $M$ a linear subspace of $E$ . Then, $$\overline{M}=E \iff \forall f \in E' : f(M) = \{0\} \rightarrow f(E) = \{0\}$$ ($E'$ is ...
Daniel García's user avatar
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Sub-multiplicative property of matrix norms

I just wanted to clarify my understanding of the sub-multiplicative property of the matrix operator norm. On this Wikipedia page it says for any matrix: $ \|AB\|_{\alpha, \gamma} \leq \|A\|_{\beta, \...
Dylan Dijk's user avatar
5 votes
1 answer
108 views

On a property for normed spaces

I came upon the following specific property for a normed space $X$, and I am looking for a characterization of the normed spaces where it holds true: If a sequence $x_n$ in $X$ satisfies $\...
Markus's user avatar
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unbounded operator satisfying $||T(x_n)|| \to \infty$

Let $E,F$ be a normed space, and $T:D(T) (\subset E) \rightarrow F$ be a densely defined unbounded linear operator. By unbounedness, for all $x \in E$, there is a sequence $(x_n) \subset D(T)$ such ...
lyn's user avatar
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2 votes
0 answers
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Equality in a norm in $\mathbb{R}^n$ that is not strictly convex

If a norm $\lVert \cdot \rVert$ is strictly convex and $\lambda \in (0,1)$, then $$ \lVert \lambda v + (1-\lambda)w \rVert = \lambda \lVert v \rVert + (1-\lambda)\lVert w \rVert \tag{1}\label{1} $$ ...
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1 answer
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Any norm on $\mathbb R^n$ induces product metric?

Let $X_1, \ldots, X_n$ be metric spaces and $\|\cdot\|$ be a norm on $\mathbb R^n$. Then it's easily seen that if $\|\cdot\|$ is monotonic in each coordinate while (others fixed) in the orthant $[0, +\...
Atom's user avatar
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0 votes
1 answer
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To verify whether Banach space

($X,||.||$) is a Banach space and $X=M*N$, where M and N are closed subspaces of X. Let $x \in X$ have a unique representation $x=m+n$, $m \in M$ and $n \in N$ Define $||.||_{1}$ : $X \to R$ by $||x||...
Soumyajoy Das's user avatar

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