Let X and Y be two jointly Gaussian real random variables, each with zero mean,variance 1, and correlation coefficient ρ ∈ (0, 1). Let a, b ∈ R be such that a2 + b2 = 1, and defineW := aX + bY .a. Find values for a and b to maximize the variance of W . Hint: Use eigendecomposition.b. Does the optimal W (from part a) have a probability density function? If yes, derive it. Ifnot, explain why.
Let X and Y be two jointly Gaussian real random variables, each with zero mean,variance 1, and correlation coefficient ρ ∈ (0, 1). Let a, b ∈ R be such that a2 + b2 = 1, and defineW := aX + bY .a. Find values for a and b to maximize the variance of W . Hint: Use eigendecomposition.b. Does the optimal W (from part a) have a probability density function? If yes, derive it. Ifnot, explain why.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Question
Let X and Y be two jointly Gaussian real random variables, each with zero mean,
variance 1, andcorrelation coefficient ρ ∈ (0, 1). Let a, b ∈ R be such that a2 + b2 = 1, and define
W := aX + bY .
a. Find values for a and b to maximize the variance of W . Hint: Use eigendecomposition.
b. Does the optimal W (from part a) have aprobability density function ? If yes, derive it. If
not, explain why.
variance 1, and
W := aX + bY .
a. Find values for a and b to maximize the variance of W . Hint: Use eigendecomposition.
b. Does the optimal W (from part a) have a
not, explain why.
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