Require a random variable $X$, $0 < X < 1$ with a distribution such that the product of two independent samples from the distribution is uniformly distributed on the interval (0,1).
2026-03-29 14:57:53.1774796273
Product of random variables is uniform
76 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
1
There are 1 best solutions below
Related Questions in UNIFORM-DISTRIBUTION
- Uniform distribution: two parts of semicircle
- What is the distribution of the modular inverse of a uniformly random element in $\mathrm{Z}_{n}\setminus\{0\}$
- Determine limits for marginal pdf after Jacobian transformation
- distribution of Z=X+Y
- integrand of norm subjected to translation
- Convergence of ratio of two sums of uniform random variables
- Variance of $T_n = \min_i \{ X_i \} + \max_i \{ X_i \}$
- $X$ and $Y$ has uniform distribution. Find $(X-Y)^2$
- The sequence $\,a_n=\lfloor \mathrm{e}^n\rfloor$ contains infinitely many odd and infinitely many even terms
- Difference between conditional expectation E(Y|X) and E(Y|X=x)
Related Questions in RANDOM
- Prove that central limit theorem Is applicable to a new sequence
- Generating random versions of cubic and quadratic curve
- Is product of random numbers still random?
- Can I generate a random number with the probability distribution of the area under any arbitrary function?
- Average distance from a line to a point
- When does two random measures coincide in distribution?
- Determine the maximum period of this potential random number generator, if possible
- Does a random variable come from a probability distribution or is it vice-versa?
- Expected number of operations until matrix contains no zeros.
- Mean and Variance of Random Sum of Random Variables
Trending Questions
- Induction on the number of equations
- How to convince a math teacher of this simple and obvious fact?
- Find $E[XY|Y+Z=1 ]$
- Refuting the Anti-Cantor Cranks
- What are imaginary numbers?
- Determine the adjoint of $\tilde Q(x)$ for $\tilde Q(x)u:=(Qu)(x)$ where $Q:U→L^2(Ω,ℝ^d$ is a Hilbert-Schmidt operator and $U$ is a Hilbert space
- Why does this innovative method of subtraction from a third grader always work?
- How do we know that the number $1$ is not equal to the number $-1$?
- What are the Implications of having VΩ as a model for a theory?
- Defining a Galois Field based on primitive element versus polynomial?
- Can't find the relationship between two columns of numbers. Please Help
- Is computer science a branch of mathematics?
- Is there a bijection of $\mathbb{R}^n$ with itself such that the forward map is connected but the inverse is not?
- Identification of a quadrilateral as a trapezoid, rectangle, or square
- Generator of inertia group in function field extension
Popular # Hahtags
second-order-logic
numerical-methods
puzzle
logic
probability
number-theory
winding-number
real-analysis
integration
calculus
complex-analysis
sequences-and-series
proof-writing
set-theory
functions
homotopy-theory
elementary-number-theory
ordinary-differential-equations
circles
derivatives
game-theory
definite-integrals
elementary-set-theory
limits
multivariable-calculus
geometry
algebraic-number-theory
proof-verification
partial-derivative
algebra-precalculus
Popular Questions
- What is the integral of 1/x?
- How many squares actually ARE in this picture? Is this a trick question with no right answer?
- Is a matrix multiplied with its transpose something special?
- What is the difference between independent and mutually exclusive events?
- Visually stunning math concepts which are easy to explain
- taylor series of $\ln(1+x)$?
- How to tell if a set of vectors spans a space?
- Calculus question taking derivative to find horizontal tangent line
- How to determine if a function is one-to-one?
- Determine if vectors are linearly independent
- What does it mean to have a determinant equal to zero?
- Is this Batman equation for real?
- How to find perpendicular vector to another vector?
- How to find mean and median from histogram
- How many sides does a circle have?
If $U \sim \text{Uniform}(0,1)$ then observe that $-\ln(U) \sim \text{Exp}(1)$. Hence if $X, X'$ are i.i.d. such that $XX' \overset{d}{=} U$, then $-\ln(X)-\ln(X') \overset{d}{=} \text{Exp}(1)$.
But also, $\text{Exp}(1) = \text{Gamma}(1,1)$, and we know that the sum of independent Gamma distributions with the same rate parameter is a Gamma distribution with the sum of the shape parameters, so we deduce that we must have $-\ln(X) \sim \text{Gamma}(1/2,1)$.