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0 votes
1 answer
24 views

Convergence-determining class is a separating class

When I was reading Billingsley's book "Convergence of probability measures", it is claimed that "A convergence-determining class is obviously a separating class". But I don't ...
Percy Wong's user avatar
2 votes
1 answer
105 views

Show that there exists $x \in \mathbb R$ such that $\mathbb P (Y = x ) = 1.$

Let $\{x_n \}_{n \geq 1}$ be a sequence of real numbers and $\{X_n \}_{n \geq 1}$ be a sequence of random variables such that $\mathbb P (X_n = x_n) = 1,\ n \geq 1.$ Let $Y$ be a random variable such ...
Anacardium's user avatar
  • 2,522
0 votes
2 answers
64 views

$(X_n, Y_n) \to (X, Y)$ in distribution (Le Gall 10.6)

$$ \newcommand{\N}{\mathbb N} $$ I am paraphrasing this textbook question slightly. Question: Let $(X_n)_{n \in \N}$ and $(Y_n)_{n \in \N}$ be two sequences of real random variables, and let $X$ and $...
caitlin's user avatar
  • 125
0 votes
1 answer
53 views

When does convergence in distribution imply convergence of integrals?

Suppose $f_n \rightarrow f$ in distribution, where $(f_n)_{n \geq 1}$ is a sequence of integrable functions. Also suppose $\sup_{n \geq 1} |f_n|$ is well-defined and measurable. Does this imply that $$...
banana_free's user avatar
0 votes
0 answers
55 views

Why is Convergence in Distribution defined in weak terms?

Why is convergence in distribution defined in terms of "weak" convergence in the law? Intuitively, (at least at a literal level) convergence in distribution of $(X_n)_n$ sequence of Borel ...
Partial T's user avatar
  • 583
0 votes
0 answers
76 views

Proving a (simple) step for the Skorokhod representation theorem [duplicate]

I am working on a slight variation of the proof of the Skorokhod representation theorem, as found in Bogachev, Vol. II. In particular, I want to use another definition of the functions $F_\mu,\xi_\mu$....
Snoop's user avatar
  • 15.9k
0 votes
1 answer
28 views

Weak convergence of probability measures with fixed second moments

Consider Borel probability measures $\mu_n, \mu$ ($n \in \mathbb{N}$) on $\mathbb{R}$ such that $\mu_n \to \mu$ weakly (test functions are continuous and bounded); $E_{X \sim \mu_n}[X] = 0$ for each $...
David Kraemer's user avatar
3 votes
1 answer
616 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
190 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
  • 4,055
7 votes
3 answers
945 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
2 votes
0 answers
181 views

Weak convergence on a separable and locally compact metric space

Let $(E,d)$ be a separable and locally compact metric space. $(\mu_n)_n$ and $\mu$ are probability measures on $(E,\mathcal{B}(E))$, such that for all continuous function $f$ with compact support $$\...
john's user avatar
  • 155
3 votes
1 answer
201 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
2 votes
0 answers
59 views

Question on the weak convergence of measures implying convergence of integrals over some boundaryless set

This is a setting from Ken Iti Sato's Levy Processes. Define $$g(z,x) = e^{i \langle z,x \rangle} -1 - i\langle z,x \rangle c(x)$$ where $c(x) = 1+o(|x|)$ as $|x|\to 0$ and $c(x)$ is some bounded ...
nomadicmathematician's user avatar
1 vote
1 answer
99 views

Limit of sum of Poisson distributed random variables

I will just recapitulate the complete problem first, then show my solution. Problem $\{X_{n}\}_{n\geq1}$ is a sequence of independent r.v.'s, $X_{n}\in\text{Po}(\mu)$ for each $n$. $N$ is independent ...
SimpleProgrammer 's user avatar
1 vote
0 answers
114 views

Interchange of weak limits without uniform convergence

I have a collection of real valued random variables on the same probability space indexed by $\mathbb{N}^2$, $\{X_{n,m}\}_{n,m\in\mathbb{N}}$. For each $n \in \mathbb{N}$, I know that $\lim_{m \to \...
forgottenarrow's user avatar

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