## The Annals of Probability

### Inequalities for the Probability Content of a Rotated Square and Related Convolutions

#### Abstract

Let $(X_1, X_2)$ be independent $N(0, 1)$ variables and let $P(v_1, v_2) = P\lbrack(X_1, X_2) \in C + (v_1, v_2)\rbrack$, where $C$ is the square $\{|x_1| \leqslant a,|x_2| \leqslant a\}$. By demonstrating that $P\lbrack|X_i - v_i|\leqslant a\rbrack$ is $\log$ concave in $v^2_i$, the extrema of $P(v_1, v_2)$ on all circles $\{v^2_1 + v^2_2 = b^2\}$ are determined. The results are extended to determine the extrema of the probability of a cube in $R^n$. The proof is based on a log concavity-preserving property of the Laplace transforms.

#### Article information

Source
Ann. Probab., Volume 8, Number 4 (1980), 802-813.

Dates
First available in Project Euclid: 19 April 2007

https://projecteuclid.org/euclid.aop/1176994667

Digital Object Identifier
doi:10.1214/aop/1176994667

Mathematical Reviews number (MathSciNet)
MR577317

Zentralblatt MATH identifier
0452.60024

JSTOR