Questions tagged [random-variables]
Questions about maps from a probability space to a measure space which are measurable.
12,561 questions
2 votes
1 answer
46 views
What is probability distribution function of the sum of two independent random variables when one variable is correlated with itself?
Suppose we have the sum of random, independent variables $$ Z_{ij} = X_i + Y_{ij}, $$ where $X_i \sim \text{Uniform}(-d, d)$ and $Y_{ij} \sim \text{Normal}(\mu, \sigma)$. Given that only one sample of ...
0 votes
0 answers
75 views
Alternative proofs for chebyshev inequality
I have heard that the original proof of Chebyshev's inequality did not utilize Markov's inequality. I am interested: To know whether this is true/accurate? Any other alternative proof for Chebyshev's ...
3 votes
1 answer
356 views
Definition of tightness
Recently, I read some materials on tightness of random variables and probability measures. There are two definitions: Definition 1. A sequence of random variables $(X_n)_{n \ge 1}$ is tight if for ...
3 votes
2 answers
288 views
Blind Spot Regarding the Correlation Coefficient
I've noticed that there is a strange unexplained thing about Pearson correlation coefficient $$\rho(X,Y) = \frac{\operatorname{Cov} (X,Y)}{\sqrt {\operatorname{Var}X} \sqrt {\operatorname{Var}Y} }$$ ...
2 votes
1 answer
44 views
complete measurable space with respect to pushforward measure
Let $(\Omega, \mathcal{A}, \mathbb{P})$ be a probability space and let $(\mathcal{X}, \mathcal{F})$ be a measurable space and $X:(\Omega, \mathcal{A})\rightarrow (\mathcal{X}, \mathcal{F})$ a random ...
6 votes
4 answers
405 views
Expectation of an absolute value
Let $X,Y$ be two i.i.d. I am trying to bound the expectation of how afar from one another they can get? That is, $E[|X-Y|]$. I know that: $$ E[X-Y] = E[X]- E[Y] = 0$$ But what about $|X-Y|$? One ...
3 votes
1 answer
80 views
Conditional probability for linear combinations of independent exponentials
I am working on the following exercise. Let $$X_1 \sim \mathrm{Exp}\left(\tfrac12\right), \qquad X_2 \sim \mathrm{Exp}\left(\tfrac12\right),$$ independent. Define $$Y_1 = X_1 + 2X_2, \qquad Y_2 = 2X_1 ...
2 votes
2 answers
131 views
Intuitive Explanation for Convergence in Probability and Convergence in Distribution
Having a bit of trouble with the definitions for convergence in probability and convergence in distribution for random variables. The textbook (Degroot) defines each as follows: Convergence in ...
0 votes
1 answer
68 views
How is the normalization property(i.e.the sum equals 1)of the joint probability mass function for a two-dimensional discrete random variable ensured?
In the following,we assume that two-dimensional discrete random variables $\vec{X}=[X_1,X_2]$ on $\mathbb{R} ^2$,and the range of values for both $X1$ and $X2$ is countably infinite,and they are ...
5 votes
1 answer
296 views
Question regarding Jensen's inequality when it comes to logarithm
Let $X$ be a real-valued random variable, and define its moment generating function (MGF) as $$ M_X(s) = \mathbb{E}[e^{sX}], $$ where $\mathbb{E}[\cdot]$ denotes the expected value of the random ...
3 votes
1 answer
109 views
Derivation of Diffusion Equation in 1-D
I am trying to rigorously derive the diffusion equation, given by $$ \frac{\partial u}{\partial t} = D\,\frac{\partial^2 u}{\partial x^2}, \qquad D = \frac{h^2}{2\tau}. $$ from a simple one-...
0 votes
0 answers
60 views
Can we have a random variable with mixed joint distribution resulting in a singular and a non-singular marginal distribution?
This question may be a little trivial, but I was wondering if we can construct a bivariate (or multivariate) probability distribution function in a way that we have a mix of a singular and an ...
6 votes
1 answer
624 views
Median wealth after repeated iterations of multiplicative game?
I start with \$1. After one iteration of a game, one of the following $m$ outcomes occurs: With probability $p_1$, my wealth multiplies by $r_1$; With probability $p_2$, my wealth multiplies by $r_2$;...
0 votes
1 answer
64 views
Does decomposition of PDFs guarantee independence of random variables?
Is this conjecture correct? If not, can it be modified to a correct one: Let $X,Y$ be continuous RVs with joint PDF $f(x,y)$. Then $X,Y$ are independent iff there exists functions $g, h$ such that $$...
1 vote
1 answer
123 views
Commutant of random linear combination of matrices
I'm not too familiar with random matrix theory so I cannot find a suitable reference for this question. Consider a set of matrices $\{A_i\}_{i=1}^k\subseteq M_{d\times d}$ over the complex field and ...