From logarithm property, we know that
log(nx) = x.log(n)
Now, from Big-O time complexity, we know that:
O(g(n)) = { f(n): there exist positive constants c and n0 such that 0 <= f(n) <= c*g(n) for all n >= n0}
Clearly, c >= x and n >= 1, we have
0 <= x.log(n) <= c.log(n)
Hence, log(nx) = = O(logn)
Prove this using the definition R7: log(n*) is O(log n) for any fixed x > 0
Exercise 7. Let X be a standard normal random variable. Prove that for any integer n > 0, ELY?"] = 1207) and E[x2n+] = 0.
Prove that is an integer for all n > 0.
Problem 44) Prove: n!> 2" for n24. Problem 45) Prove by induction: For n>0·AT- i=1
Prove by mathematical induction (discrete mathematics) n? - 2*n-1 > 0 n> 3
Prove the statement using the ε, δ definition of a limit. Prove the statement using the ε, definition of a limit. lim x → 1 6 + 4x 5 = 2 Given a > 0, we need ---Select--- such that if 0 < 1x – 1< 8, then 6 + 4x 5 2. ---Select--- But 6 + 4x 5 21 < E 4x - 4 5 <E |x – 1< E = [X – 1] < ---Select--- So if we...
Use induction to prove that 0–0 4j3 = n4 + 2n3 + n2 where n > 0.
Use induction and Pascal's identity to prove that (7) = 2" where n > 0.
QUESTION 3 To show that f(x) is O(g(x) using the definition of big o, we find Cand k such that f(x) < Cg(x) for all x > k. QUESTION 4 Finding the smallest number in a list of n elements would use an OU) algorithm.
{x_n} and {y_n} are sequences of positive real numbers AC fn→oo > O, prove tha m in yn lim xn 0 implies lim yn_0
3. Let(Sn, n > 0} be a symmetric Random Walk on Z. Defined To-inf(n-1 : Sn-0) the time of first passage to state 0, prove that PlT, = 2nlSo = 0] = 2n.plsøn = 이So = 0] for any n 2 1