Let f(n) = (n + a)b and g(n) = nb, for any real constants a and b, where b > 0.
Using definition of O and g(n), establish the upper bound of f(n). Find the values of positive constant c and nonnegative integer n0 ,
f(n) = O(g(n)) means there are positive constants c and n0, such that 0 ≤ f(n) ≤ cg(n) for all n ≥ n0 (n + a)b = O(nb) => nb + ab = O(nb) => nb + ab <= c(nb) Let's assume c = 2 => nb + ab <= c(nb) => nb + ab <= 2(nb) => ab <= nb => a <= n it's true for all n >= a so, (n + a)b = O(nb) given c = 2 and n0 = a
Let f(n) = (n + a)b and g(n) = nb, for any real constants a and b, where b > 0. Using Θ, what is your conclusion for the relationship between f(n) and g(n)?
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...
1. Theorem 4.1 (Master Theorem). Let a 2 1 and b >1 be constants, let f(n) be a function, and let T(n) be defined on the nonnegative integers by the recurrences T(n)- aT(n/b) + f(n) where we take n/b to be either 1loor(n/b) or ceil(n/b). Then T(n) has the following asymptotic bounds. 1. If f(n) O(n-ss(a)-) for some constant e > 0, then T(n) = e(n(a). 2. If f(n) e(n(a), then T(n)- e(nlot(a) Ig(n)). 3. If f(n)-(n(a)+) for some constant...
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: ???? ? = ???? ?)???? ?...
Show your work using the definition O() (Using the two constants etc). Let f(n) = O(g(n)) and g(n) = O(h(n)). Show that f(n) = O(h(n)).
Real analysis. Please solve all questions
thank you
1. Let h be a positive real number, a <c< d < b and let Sh c< x <d, J() = 1 0 r < c, x > d (a) Using the definition only, find ſº f(x)dx. In fact, given e > 0, you should find an explicit d > 0) which works in the definition. (b) For a given partition P of [a, b], find a good upper bound on S(P)...
Please solve Q1, this is a discrete math
question. "O" represents Oh notation, f=O(g) if there are positive
constants c and n0 such that for any n≥ n0,
f(n) ≤ c·g(n). Please include all your explanations.
Problem 1 (3 points) Find the least integer t such that (n° + n2 log(n)) (log(n) + 1) + (8 log(n) +6) (n3 + 4) is 0 (nt). Briefly justify your answer (i.e., why it is o (nt) and why it is not 0...
Let k 21 be a positive integer, and let r R be a non-zero real number. For any real number e, we would like to show that for all 0 SjSk-, the function satisfies the advancement operator equation (A -r)f0 (a) Show that this is true whenever J-0. You can use the fact that f(n) = crn satisfies (A-r)f = 0. (b) Suppose fm n) satisfies the equation when m s k-2 for every choice of c. Show that )...
Let f (n) and g(n) be asymptotically nonnegative functions. Using the basic definition of _-notation, prove that max( f (n), g(n)) = Θ( f (n) + g(n)).
Formal Definitions of Big-Oh, Big-Theta and Big-Omega:
1. Use the formal definition of Big-Oh to prove that if f(n) is a decreasing function, then f(n) = 0(1). A decreasing function is one in which f(x1) f(r2) if and only if xi 5 r2. You may assume that f(n) is positive evervwhere Hint: drawing a picture might make the proof for this problem more obvious 2. Use the formal definition of Big-Oh to prove that if f(n) = 0(g(n)) and g(n)...