06.03.2013 Views

Solutions to Homework Set No. 4 – Probability Theory (235A), Fall ...

Solutions to Homework Set No. 4 – Probability Theory (235A), Fall ...

Solutions to Homework Set No. 4 – Probability Theory (235A), Fall ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>No</strong>w, the probability that Xi ≤ Xn for all 1 ≤ i ≤ n is<br />

by fixing the largest, Xn, and permuting the rest.<br />

P(An) = P({πn(n) = n}) =<br />

(n − 1)!<br />

, where (n − 1)! is obtained<br />

n!<br />

(n − 1)!<br />

n!<br />

For any σ ∈ Sn, P(πn = σ) = 1<br />

n! and for any σn−1 ∈ Sn−1, P(πn−1 = σn−1) = 1 . Hence<br />

(n−1)!<br />

= 1<br />

n<br />

P(An, πn−1 = σn−1) = 1<br />

n! = P(An)P(πn−1 = σn−1),<br />

which shows the independence. Thus, Ai’s are independent since πn−1 are determined by<br />

A1, · · · , An−1.<br />

(b) Define<br />

Rn =<br />

n<br />

k=1<br />

1Ak<br />

= #{1 ≤ k ≤ n : k is a record time}, (n = 1, 2, . . .).<br />

Compute E(Rn) and V(Rn). Deduce that if (mn) ∞ n=1 is a sequence of positive numbers such<br />

that mn ↑ ∞, however slowly, then the number Rn of record times up <strong>to</strong> time n satisfies<br />

<br />

<br />

P |Rn − log n| > mn log n −−−→<br />

n→∞ 0.<br />

Solution.<br />

E(Rn) =<br />

n<br />

k=1<br />

V(Rn) = V n <br />

k=1<br />

E(1Ak ) =<br />

1Ak<br />

=<br />

n<br />

k=1<br />

n<br />

P(Ak) =<br />

k=1<br />

V(1Ak ) =<br />

n<br />

k=1<br />

n<br />

k=1<br />

1<br />

k<br />

1<br />

k<br />

= log n + O(1)<br />

1<br />

− = log n + O(1)<br />

k2 √<br />

The second equality follows from independence. The claim about P(|Rn−log n| > mn log n)<br />

follows directly from Chebyshev’s inequality.<br />

4

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!