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Questions tagged [characteristic-functions]

Questions about characteristic functions, of a set (which gives $1$ if the element is on the set and $0$ otherwise) or of a random variable (its Fourier transform). Do not use this tag if you are asking about the method of characteristics in PDE or the characteristic polynomial in linear algebra.

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Consider the following family of normalized probability densities parametrized by the strictly positive integer $k$: $$ \begin{align} \begin{aligned} &f_k(x) = \frac{k}{\pi}\sin\left(\frac{\pi}{2k}...
Ben's user avatar
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Suppose that $X_1, X_2, \cdots ,X_n$ are i.i.d with $X_i \sim U([-\sqrt3,\sqrt3])$, $\Phi(t)=(2\pi)^{-\frac{1}{2}}\int_{-\infty}^{t}e^{-\frac{x^2}{2}}dx$. Show that there exists $C>0$ such that $$\...
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Let $\mu$ be a probability measure on $\mathbb{R}$ and let $\varphi$ be its characteristic function. Exercise 3.3.3 on Durrett's book about probability tells us that $$\lim _{T \rightarrow \infty} \...
ModelTheoryIsHard's user avatar
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Consider the box function: $g_\epsilon=\frac{1}{2\epsilon}\chi_{[-\epsilon,\epsilon]}:\mathbb{R}\rightarrow \mathbb{R}$ for $\epsilon>0$. For a step function $t$, being a finite linear combination ...
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Background While studying the Poisson distribution, I came across the equation: $$ \mathbf{E}[\lambda\,g(X)] = \mathbf{E}[X\,g(X-1)], $$ which holds for a Poisson random variable $X \sim \text{Poisson}...
Hank Wang's user avatar
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This is a sequel of Ratio of cubic and quadratic form is approximately normal? Let be $x_{1},x_{2},..., x_{n}$ i.i.d. random variables following a normal distribution with $\mu=0$ and $\sigma=1$. ...
rgvalenciaalbornoz's user avatar
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I am studying real analysis. I ended up with the following exercise: suppose that $f \in L^1(0, 1)$, $f \geq 0$ a. e. and suppose that there exists $c \geq 0$ such that $$\int_0^1 (f(x))^n dx = c, $$ ...
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I was attempting to prove the characteristic function formula $$Z_x(\lambda) = \sum_{n=0}^{\infty} \frac{i^n}{n!} \sum_{j_1, ..., j_n} \lambda_{j_1} ... \lambda_{j_n} \langle x(r_{j_1}) ... x(r_{j_n}) ...
Zahra's user avatar
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Suppose $X_n\stackrel{iid}{\sim}U(0,5)$ and let $$ S_n = X_1 + \ldots+X_n,\quad \tau = \inf\{n\ge 1: X_n \ge 4\} $$ The problem is to find characteristic functions of $\tau$ and $S_\tau$. I came up ...
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I'm reading some paper of PDE, in which they compute characteristic eqution by Laplace transform. For example,there is an equation and its boundary condition: $\partial_t u +\lambda\partial_x u=0$ $u(...
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The question I'm working on is: $$u_t + uu_x = 0, t > 0$$ with $$u(x,0)=f(x)=\begin{cases} 0 & x< 0 \\ 1 & 0\leq x\leq1 \\ 0&x>1 \end{cases}$$ I'm trying to find the ...
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Im reading the proof of the Pólya's condition ( Theorem 4.3.1) in the book "Characteristic Functions , by Eugene Lukacs 2ed". But i dont understand the following statament in the proof: ...
Maurício Almeida's user avatar
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1 answer
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If $X$ is a $n$ dimensional random variable the characteristic function is defined by $$ \mathbb{E}[e^{i\omega^T x}]= 1 - i\omega^T \mathbb{E}[x] - \frac{1}{2}\omega^T\mathbb{E}[xx^T]\omega + o(\left\...
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Let $\theta(t,x) \geq 0$ for all $t \in [0,T]$ and $x \in \bar\Omega$ where $\Omega$ is some bounded domain. Define the integral $$u(t,x) = \int_0^t \theta(s,x)\;\mathrm{d}s$$ Assume that $\theta$ is ...
math_guy's user avatar
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Let $\left(x_n\right)_{n\geq1}$ be a sequence of real numbers that converges to $x_0$ and $\chi_{(-\infty, x_n]}$ the characteristic function of the semi open interval $(-\infty,x_n]$. How would we go ...
Struggling Under Grad's user avatar
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1 answer
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This SE question has a nice answer describing how to derive the PDF of the chi-square distribution by inverting its characteristic function, in an elegant method using contour integrals. How can we ...
Abhranil Das's user avatar
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I am learning PDE and I meet some problems when solving one traffic model which is defined as $ u_t + (1-2u) u_x =0 $ with initial condition $ u(x,0) = f(x) = \begin{cases} 0, x<0\\ 1,x>0\end{...
Andy Wang's user avatar
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I'm trying to verify formula (5.1) in Getz's and Hahn's An Introduction to Automorphic Representations, §5.2, p. 138. The goal is to calculate the product of basis elements in the Hecke algebra. The ...
Gargantuar's user avatar
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1 answer
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Let $\mu$ be a Gaussian measure over a Hilbert space $F$ its characteristic function: $$F(f) = \int e^{i\langle \phi, f\rangle} d\mu(\phi)$$ and define the following matrix: $$M_{ij} = F(f_i)F(f_j) e^{...
CBBAM's user avatar
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I'm not sure if it is a mistake in the text or if it is actually meant to be like this, but I'm reading An Intermediate Course in Probability by Gut, and in the chapter on moment generating function (...
psie's user avatar
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Let suppose that we have a random variables $X$ and $Y$ whose chfs. can be written as: $$\forall u \in\mathbb{R},\quad\Phi_X(u) = f(u)\Phi_Y(u).$$ Does it mean that we can write $X=Z+Y$ where $Z$ is a ...
NancyBoy's user avatar
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Let $X$ a random variable (in $\mathbb{R}$ for simplicity) and $\varphi(t) = \mathbb{E}[e^{i tX}]$ be its characteristic function. If $X$ has a moment of order $2$, then $|\varphi(t)|^2 = 1 - \frac12 \...
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So, consider inversion theorem in the form $\forall a, b : P(\xi \in \{a, b\}) = 0 \Rightarrow P(\xi \in [a, b]) = \lim_{T\to \infty} \frac{1}{2\pi} \int_{-T}^T \frac{e^{-iat}-e^{-ibt}}{it} \phi_{\xi}(...
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For $f \in L^1(\mathbb{R}^n)$ its Fourier transform is defined as $$\hat{f}(\xi) = \int_{\mathbb{R}^n} f(x) e^{-i\xi\cdot x} dx$$ up to a choice of normalization. The inverse Fourier transform is ...
CBBAM's user avatar
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6 votes
1 answer
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I am trying to solve the following problem, which provides an example for a central limit theorem in spite of the fact that the variance is infinite. Consider the two-sided Pareto distribution with ...
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