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Questions about abstract measure and Lebesgue integral theory. Also concerns such properties as measurability of maps and sets.
67
votes
Why do probabilists take random variables to be Borel (and not Lebesgue) measurable?
One reason is that probabilists often consider more than one measure on the same space,
and then a negligible set for one measure (added in a completion) might be not negligible for the other. The sit …
10
votes
Measure of intersections in probability spaces
The answer is negative: It is possible that there is no good choice of $i,j$.
Let $T$ be a uniform spanning tree in the infinite ladder ${\bf Z} \times \{0,1\}$. To be precise, this is a weak limit o …
9
votes
Accepted
Largeness of the set of zeroes of a Brownian motion
Yes, the local time (at zero) maps the zero set of Brownian motion to an interval. See e.g. Lemma 6.9 page 159 in [1] for continuity.
[1] Brownian motion, by Peter Mörters and Yuval Peres. Cambridge U …
9
votes
Accepted
Growth of $L^p$ norms as $p \to \infty$
$N(p)$ can grow arbitrarily quickly. Given a sequence $a_m \downarrow 0$ with $a_0=1$ and $a_m<a_{m-1}/2$ for all $m$, define
$f(x)=x^{-1/m}$ for all $x \in (a_m,a_{m-1}]$ and $m \ge 1$. Then $N(p)< …
9
votes
Accepted
Is the space of Radon measures a Polish space or at least separable?
With respect to the norm topology, the space of Radon measures on a domain $\Omega$ is not separable. Indeed, for any two distinct points $x,y$ in $\Omega$, the Dirac measures $\delta_x$ and $\delta_ …
6
votes
Accepted
Sum of random variables are equal in distribution
There is$^*$ a counterexample in the atomic case, see below, so we will assume that $(\Omega, \mathrm{P})$ is a non-atomic standard Lebesgue probability space (so it is Isomorphic to the unit interval …
6
votes
Accepted
Wasserstein convergence of "series expansion'' of probability measure
It is true and clear if the metric space $X$ has a finite diameter, but false in general: Take $\beta_i=2^{-i}$ and $\mu_i$ the point mass at $3^i$.
Details: In the case $D=$diam$(X)<\infty$, write $s …
5
votes
Accepted
Sub-Gaussian decay of convolution of $L^1$ function with Gaussian kernel
We assume that $f$ is not identically zero, whence $f*g(x)>0$ for all $x \in \mathbb{R}^d$.
The answer is positive, and this is also true when the density f is replaced by an arbitrary positive fini …
5
votes
Accepted
von Neumann ergodic theorem for $L_p$
False for p infinite. True for finite. See e.g. the book by Krengel, Ergodic theorems. Other sources (that also go further) are [1, Sec. I.2.1] or [2, Theorem 8.8].
[1] T. Eisner, Stability of opera …
5
votes
Is the unordered sum of measurable functions measurable?
The answer is negative. Take $E={\mathbb R}$ and $\Omega={\mathbb R}$, with $\cal A$ the Lebesgue (or Borel) $\sigma$-algebra. Let $V$ be a subset of ${\mathbb R}$ which is not $\cal A$-measurabl …
5
votes
Accepted
Measurability of the set of non-tangential boundary points
For given $\alpha$ the corresponding set of nontangential boundary points is a $G_{\delta}$ set, since the cone must contain points of $S$ in annuli arbitrarily close to the unit circle. Here $G_n$ c …
4
votes
Can we say that: $ \sum_{n\geq 1}{\frac{1}{n}(f_n(\omega)-g_n(\omega))}<\infty\qquad a.e $
Let $f_n$ be independent random variables where $f_n$ takes values $0, 2n$ with $\mu(f_n=2n)=1/n$ for each $n$. Take $g_n=0$ for all $n$. Then $F_n(f_n)=0$ for all $n$ so the hypothesis holds, but th …
4
votes
Properties of measures that are not countably additive but have countably additive null ideals
Here is an answer for the case that $X$ is countable and all its subsets are measurable.
Let $Y \subset X$ be nonempty, suppose $\{p_y : y \in Y\}$ are strictly positive numbers with $p= \sum_{y \in …
4
votes
Accepted
Well approximating sets
Let $D$ consist of all numbers $d$ in $[0,1]$ such that in their binary expansion for every $k$ the digit at location $2^k$ vanishes, i.e., $d_{2^k}=0$. Then it is easy to check that $D$ has Lebesgue …
4
votes
Accepted
Set where the speed of convergence is uniform in Lebesgue's density theorem
Let $$f_n(x) = \sup_{r \in {\mathbb Q} \cap [\frac{1}{n+1},\frac{1}{n})} \frac{|B(x,r)\setminus E|}{|B(x,r)|}\,,$$ so that $f_n(x) \to 0$ for a.e. $x \in E$. By Egorov's theorem [1], for every $\epsi …