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Questions tagged [weak-convergence]

For questions about weak convergence, which can concern sequences in normed/ topological vectors spaces, or sequences of measures. Please use other tags like (tag: functional-analysis) or (tag: probability-theory).

-2 votes
1 answer
85 views

I have the following exercise: Let $p \in (1, +\infty)$. Consider the sequence $\left\{ f_n \right\}_{n \in \mathbb N}$ in $L^p ([0, 1])$ where $f_n (x) := 1 + \sin(n \pi x)$. Let $k \in \mathbb N$ ...
user665110's user avatar
1 vote
0 answers
56 views

This question is concerned with the following result in Lieb & Loss' Analysis: More precisely, condition 11.3(14) is stated as follows: My question is concerned with the case $n \geq 3$. The ...
gpr1's user avatar
  • 682
4 votes
1 answer
116 views

Let $f_n$ be a sequence in $L^p(\mathbb{R})$ with $1 < p < \infty$ so that $f_n$ converges uniformly to $f$ on every compact subset of the real line. Find whether or not $f_n$ converges weakly ...
temp's user avatar
  • 171
1 vote
1 answer
42 views

I am trying to prove the following statement: Let $(X,d)$ be a compact metric space. The set of all integer-valued Borel measures on $X$, that are uniformly bounded by an integer $\alpha$ (that is, $a(...
Anna  Vakarova's user avatar
0 votes
0 answers
49 views

I've been reading the following posts (Link1, Link2) about weak limits of indicator/characteristic functions. It is clear to me that in general the weak limit of indicator functions may not be an ...
K V's user avatar
  • 58
6 votes
1 answer
129 views

Let $x_n\overset{p}{\to}c$ and $x_n\overset{d}{\to}N(0,\sigma^2)$ denote convergence in probability to a constant $c$ and convergence in distribution to a random normal variable (with some abuse of ...
Alba's user avatar
  • 71
0 votes
0 answers
38 views

"…and that we can extract a subsequence, again denoted by $f^n(t)$, which converges weakly in $L^1(\Re^3)$ to $f(t)$, for all $t \in [0,T]$. Therefore: $$ \int d\xi \, d\xi_* \, \phi(\xi,\xi_*) \,...
yan's user avatar
  • 1
1 vote
1 answer
43 views

I am working on a problem about modes of convergence for measures and would like to find sequences of Gaussian measures that satisfy specific criteria. Let $\mu_{m,s}$ be the Gaussian probability ...
icyspark's user avatar
2 votes
0 answers
43 views

Assume $(X_n,Y_n,Z_n)\Rightarrow (X,Y,Z)$ weakly on standard Borel spaces. Is it always true that $$I(X;Y\mid Z)\ \le\ \liminf_{n\to\infty} I(X_n;Y_n\mid Z_n)?$$ It is classical that relative entropy $...
June Kalicharan's user avatar
2 votes
0 answers
92 views

Let $X \subset \mathbb{R}^d$ be compact and let $ K : X \times X \to \mathbb{R}$ be a continuous function. Call $\mathcal{M}(X)$ the space of Radon measure on $X$. We define the integral operator $T:\...
Mathis Deronzier's user avatar
1 vote
0 answers
52 views

I am working on the preservation of symmetry for Lévy measures under a specific type of convergence. First, recall that a Lévy measure $\mu$ on $\mathbb{R}^k$ is symmetric if $\mu(E) = \mu(-E)$ for ...
Gregório Vieira's user avatar
3 votes
1 answer
108 views

Let $X$ be Hilbert and let $f\colon X \to \mathbb{R}$ satisfy the following: for every sequence $x_n$ such that $x_n \rightharpoonup x$ (weakly) in $X$, there exists a subsequence $n_j$ such that $$f(...
BBB's user avatar
  • 163
3 votes
2 answers
168 views

Continuing from the following discussion: Does the adjoint of a compact operator maps a weak* convergence sequence to norm convergence? Let $X, Y$ be two Banach spaces and $T:X\to Y$ be a compact ...
Blue's user avatar
  • 81
2 votes
1 answer
169 views

$\DeclareMathOperator{\varr}{\operatorname{var}}$ $\DeclareMathOperator{\tr}{\operatorname{tr}}$ Let $\{X_n\}_{n \ge 1}$ be a sequence of zero-mean, $p$-dimensional infinitely divisible (ID) random ...
Gregório Vieira's user avatar
5 votes
1 answer
103 views

Let $\{X_n\}_{n \ge 1}$ be a sequence of $p$-dimensional infinitely divisible (ID) random vectors, and let $\{\mu_n\}_{n \ge 1}$ be their corresponding Lévy measures. Suppose we have two conditions: ...
Gregório Vieira's user avatar

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