particle is moving on the unit circle x² + y² = 1 at the constant angular ng at the initial position (1,0). Here, by angular speed w, it means it urn to the initial position. The particle will stop at the random time T ion T~ exp(1). obability that the particle stops at the k-th quadrant, for k = 1,2,3,4 ds on w. Decide which quadrant has the highest probability. limiting probability from (a) as the angular speed w→ ∞. he x-coordinate of the particle's final position. Find the expected value

A First Course in Probability (10th Edition)
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Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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A particle is moving on the unit circle x² + y² = 1 at the constant angular
speed > 0, starting at the initial position (1,0). Here, by angular speed w, it means it
takes t = 27 to return to the initial position. The particle will stop at the random time T,
which has distribution T~ exp(1).
Find the probability that the particle stops at the k-th quadrant, for k = 1, 2, 3, 4.
Your answer depends on w. Decide which quadrant has the highest probability.
Analyze the limiting probability from (a) as the angular speed w → ∞.
Let X be the x-coordinate of the particle's final position. Find the expected value
and variance of X.
Fix w = 1, and let X be the x-coordinate of the particle's final position. Find E[X]
and Var[X].
Transcribed Image Text:A particle is moving on the unit circle x² + y² = 1 at the constant angular speed > 0, starting at the initial position (1,0). Here, by angular speed w, it means it takes t = 27 to return to the initial position. The particle will stop at the random time T, which has distribution T~ exp(1). Find the probability that the particle stops at the k-th quadrant, for k = 1, 2, 3, 4. Your answer depends on w. Decide which quadrant has the highest probability. Analyze the limiting probability from (a) as the angular speed w → ∞. Let X be the x-coordinate of the particle's final position. Find the expected value and variance of X. Fix w = 1, and let X be the x-coordinate of the particle's final position. Find E[X] and Var[X].
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