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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
15 votes
1 answer
5k views

Uniform convergence and weak convergence

Assume $F_{n},F$ are distribution functions of r.v.$X_{n}$ and $X$, $F_{n}$ weakly converge to $F$. If $F$ is pointwise continuous in the interval $[a,b]\subset\mathbb{R}$, show that $$\sup_{x\in[a,b]}...
Jacky Zhang's user avatar
7 votes
3 answers
952 views

Conditions for weak convergence and generalized distribution functions

I am having some trouble proving Corollary 6.3.2 in Borovkov's Probability Theory (for reference, this material is on pages 147 to 149 in the book). For convenience, I provide some definitions and ...
varpi's user avatar
  • 607
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
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
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
3 votes
1 answer
202 views

$P_{n}(A)\xrightarrow{n \to \infty} P(A)$ for any $P$-continuity set $A$ iff $F_{n}(x)\xrightarrow{ n \to \infty} F(x)$ for all continuity points

For a while, I have been strunggling to find why Levy's continuity Theorem would imply that: $P_{n} \xrightarrow{\text{distribution}} P\iff \phi_{n}(t)\xrightarrow{n \to \infty}\phi(t)\; $ since Levy'...
MinaThuma's user avatar
  • 998
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
3 votes
1 answer
625 views

Does weak convergence imply pointwise convergence? [duplicate]

Let $f_n,f:\mathbb R^d\to[0,\infty)$ with integral $1$ over $\mathbb R^d$. Suppose that $$ \int_{\mathbb R^d}\phi(x)\,f_n(x)\,d x\,\to\,\int_{\mathbb R^d}\phi(x)\,f(x)\,d x $$ as $n\to\infty$ for all $...
tituf's user avatar
  • 893
3 votes
1 answer
889 views

Weak convergence: equivalence of definitions

Consider a sequence of random variables $(X_n)_{n\geq 0}$ and a random variable $X$. How to prove that the two following definitions of weak convergence are equivalent? Def 1 $(X_n)_{n\geq 0} \...
QuantumLogarithm's user avatar
3 votes
1 answer
191 views

A tight collection of probability measures on space of probability measures

Let $E$ be a Polish space, and let $\mathcal M_1(E)$ denote the space of probability measures on $E$. I want to show the following: A collection $\mathcal K \subset \mathcal M_1\left(\mathcal M_1(E)\...
D Ford's user avatar
  • 4,075
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
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
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
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 ...
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