Prove each case f(n) = O(g(n)) by providing enough justification.
1) f(n) = n2.5
2) f(n) = n10
Big-Oh definition: ------------------- f(n) = O(g(n)) means there are positive constants c and k, such that 0 ≤ f(n) ≤ cg(n) for all n ≥ k. 1) f(n) = n2.5 0 <= f(n) <= 2n^2.5 Where c=2, n>0 and g(n)=n^2.5 So, from the definition of Big-Oh we can say that f(n)= 2) f(n) = n10 0 <= f(n) <= 2n^10 Where c=2, n>0 and g(n)=n^10 So, from the definition of Big-Oh we can say that f(n)=
Prove each case f(n) = O(g(n)) by providing enough justification. 1) f(n) = n2.5 2) f(n)...
Compare the following pairs of functions f, g. In each case, say whether f- o(g) f-w(g), or f = Θ(g), and prove your claim. 157. f(n) -100n+logn, gn) (logn)2. 158,介f(n) = logn, g(n) = log log(n2). 159. . f(n)-n2/log n, g(n) = n(log n)2. 160·介介f(n)-(log n)106.9(n)-n10-6 . 161. (n)logn, g(n) (log nlog n 162. f(n) n2, gn) 3. Compare the following pairs of functions f, g. In each case, say whether f- o(g) f-w(g), or f = Θ(g), and prove...
3. (10 pts) For each of the following functions f(n), prove the stated claim by providing constants no C1, and c2 such that for all n2 no, cig(n) S f(n) or f(n) c2g(n), and provide a calculation that shows that this inequality does indeed hold (a) f(n) 2n2 3n3-50nlgn10 0(n3) O(g(n)) (b) f(n)-2n log n + 3n2-10n-10-Ω ( 2)-0(g(n))
1. For each of the following pairs of functions, prove that f(n)-O(g(n)), and / or that g(n) O(f(n)), or explain why one or the other is not true. (a) 2"+1 vs 2 (b) 22n vs 2" VS (c) 4" vs 22n (d) 2" vs 4" (e) loga n vs log, n - where a and b are constants greater than 1. Show that you understand why this restriction on a and b was given. f) log(0(1) n) vs log n....
Prove that if f (n) = O (g (n)) and g (n) = Ohm (h (n)), it is not necessarily true that f(n) = O (h (n)). You may assume that low degree (i.e., low-exponent) polynomials do not dominate higher degree polynomials, while higher degree polynomials dominate lower ones. For example, n^3 notequalto O (n^2), but n^2 = O (n^3). Prove that if f (n) = O (g (n)) and g (n) = Ohm (h (n)), it is not necessarily...
Let f(n) = 5n^2. Prove that f(n) = O(n^3). Let f(n) = 7n^2. Prove that f(n) = Ω(n). Let f(n) = 3n. Prove that f(n) =ꙍ (√n). Let f(n) = 3n+2. Prove that f(n) = Θ (n). Let k > 0 and c > 0 be any positive constants. Prove that (n + k)c = O(nc). Prove that lg(n!) = O(n lg n). Let g(n) = log10(n). Prove that g(n) = Θ(lg n). (hint: ???? ? = ???? ?)???? ?...
Prove (using the definition of O) or disprove (via counter-example): If f(n) = O(n)), and g(n) = O(n2), then f(n) + g(n) = O(n5). Prove (using the definition of O) or disprove (via counter-example): If f(n) = O(n), and g(n) = O(n2), then fin)/g(n) = O(n).
Prove or disprove the following: If f(n) =O(g(n)) then nf(n) = O(ng(n))
Prove or find a counterexample for the following. Assume that f (n) and g (n) are monotonically increasing functions that are always larger than 1. f (n) = o (g (n)) rightarrow log (f (n)) = o (log (g (n))) f (n) = O (g (n)) rightarrow log (f (n)) = O (log (g (n))) f (n) = o (g (n)) rightarrow 2^f (n) = o (2^g (n)) f (n) = O (g (n)) rightarrow 2^f (n) = O (2^g...
1. a) Let f(n) = 6n2 - 100n + 44 and g(n) = 0.5n3 . Prove that f(n) = O(g(n)) using the definition of Big-O notation. (You need to find constants c and n0). b) Let f(n) = 3n2 + n and g(n) = 2n2 . Use the definition of big-O notation to prove that f(n) = O(g(n)) (you need to find constants c and n0) and g(n) = O(f(n)) (you need to find constants c and n0). Conclude that...
Show that either g(n) = O(f(n)) or f(n) = O(g(n)) : 1. g(n) = n^2 +7n , f(n) = ^3 -2n^2 2. g(n) = 2n +4 , f(n) = 6lg(n^2)