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5 votes
1 answer
781 views

Necessary and sufficient condition for weak convergence and convergence of density

Let $(\mu_n)_n$ and $\mu$ be two probability measure, having respectively density $(f_n)_n$ and $f$ for the measure $\lambda$ on $(\mathbb{R},B(\mathbb{R})).$ Prove that the following statement are ...
Kurt.W.X's user avatar
  • 1,070
2 votes
3 answers
130 views

Computing $\lim_{n\to\infty} \prod_{k=1}^n(1-\frac{x^2k^{2\alpha}}{n^{2 \alpha+1}})$

Let $\alpha>0,x \in \mathbb{R}$ I am having a problem in computing the following limit: $$\lim_{n \to \infty} \prod_{k=1}^n\bigg(1-\frac{x^2k^{2a}}{n^{2a+1}}\bigg).$$ In fact: the problem was ...
user avatar
1 vote
1 answer
194 views

Characteristic functions and metric spaces

Let $\mathcal{P}$ be the space of probability measure on $\mathbb{R}.$ Define $d(\varphi,\phi)=\sup_x|\varphi(x)-\phi(x)|/(1+|x|),$ where $\varphi$ and $\phi$ are the characteristic functions of two ...
mathex's user avatar
  • 616
6 votes
1 answer
1k views

Lévy's metric on $\mathbb{R}^d$

I know that a sequence of measures on $\mathbb{R}$ converges in distribution if and only if the corresponding Lévy's metric converges (Relationship to weak toplogy (Lévy metric)). According to ...
mathex's user avatar
  • 616
1 vote
2 answers
252 views

$P_n \Rightarrow P$ if and only if $P_n\{x\} \to P\{x\}$ for all $x$ if $S$ is a countable discrete space.

This is problem 2.3 from Billingsley's Convergence of Probability Measures. If $S$ is countable and discrete, then $P_n \Rightarrow P$ if and only if $P_n\{x\} \to P\{x\}$ for each singleton. Show ...
nomadicmathematician's user avatar
2 votes
1 answer
74 views

How to show the following weak convergence using characteristic functions

Suppose $g:R\rightarrow R$ has at least three bounded continuous derivatives and let $X_i$ be $iid$ and in $L^2$. Prove that: $\sqrt{n}[g(\overline{X_n}) - g(\mu)]\xrightarrow{w} N(0,g^{'}(\mu)^{2} ...
user avatar
5 votes
1 answer
1k views

How to show that the space of probability measures on $\mathbb{R}$ is separable under Lévy metric

The Lévy metric between distribution functions $F$ and $G$ is given by: $$\rho(F,G) = \inf\left\{\epsilon : F(x-\epsilon)-\epsilon\leq G(x)\leq F(x+\epsilon)+\epsilon\right\}.$$ Another way to ...
user avatar
3 votes
1 answer
1k views

Convergence of Maximum of Cauchy Random Variables

Suppose $\{P_n\}$ and P are probability measures on the real line with corresponding distribution functions $\{F_n\}$ and $F$, respectively. $P_n$ converges weakly to P if and only $$\lim_{n \...
Francois Wassert's user avatar
2 votes
0 answers
394 views

Convergence of Probability Measures and Respective Distribution Functions

Suppose $\{P_n\}$ and P are probability measures on the real line with corresponding distribution functions $\{F_n\}$ and $F$, respectively. Prove that $P_n$ converges weakly to P if and only $$\lim_{...
Francois Wassert's user avatar
3 votes
1 answer
152 views

Trouble connecting pieces of proof in Kesten's seminal paper on Sinai's random walk

In Kesten's 1986 paper (Limit distribution of Sinai's Random Walk) we read: The proof of this lemma uses the fact that the symmetric simple random walk when properly rescaled converges to the ...
Conrado Costa's user avatar
1 vote
0 answers
1k views

Tightness of normal distributions

Consider the $\mathcal{N}(\mu_n,\sigma_n^2)$ distributions, where the $\mu_n$ are real numbers and the $\sigma_n^2$ non-negatives. A sequence of probability measures $(\xi_n)_{n \in \mathbb{N}}$ on $...
iJup's user avatar
  • 1,999
2 votes
1 answer
400 views

Convergence of measures of sets with measure zero boundary

Let $P_k$, $k\in\mathbb{N}$, and $P$ be probability measures on $\mathbb{R}^n$ equipped with the sigma-algebra of Borel sets and suppose that $P_k\longrightarrow P$ weakly. Let $A\subseteq\mathbb{R}^...
Damian Reding's user avatar
2 votes
1 answer
360 views

Weak convergence of Cesaro sums

Suppose $\{X_n\}_{n \geq 1}$ is a sequence of random variables which converges weakly to some random variable: $$ X_n \overset{w}{\longrightarrow} X $$ Question: what happens to the Cesaro sums of $...
gogurt's user avatar
  • 2,244
17 votes
1 answer
4k views

Confusion with the narrow and weak* convergence of measures

Think of a LCH space $X.$ Consider the spaces $C_{0}(X)$ of continuous functions "vanishing at infinity" and the space $BC(X)$ of bounded continuous functions. Consider as well the space of Radon (...
Qwertuy's user avatar
  • 1,139
3 votes
0 answers
44 views

A basic question on spaces of probability measures

This problem is regarding the space of probability measures. For $N \geq 1$, let $\{e_i^N(.), i\geq 1\}$ denote a complete orthonormal basis for $L_2[0,N]$. Let $\{f_j\}$ be countable dense in the ...
Anonymous's user avatar
  • 1,999

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