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Prove the following assertions by using the definitions of the notations in-volved, or disprove them by giving a specific counterexample.a. If t (n) ∈ O(g(n)), then g(n) ∈ (t (n)).b. (αg(n)) = (g(n)), where α > 0.c. (g(n)) = O(g(n)) ∩ (g(n)).d. For any two nonnegative functions t (n) and g(n) defined on the set ofnonnegative integers, either t (n) ∈ O(g(n)), or t (n) ∈ (g(n)), or both

Question

Prove the following assertions by using the definitions of the notations in-volved, or disprove them by giving a specific counterexample.a. If t (n) ∈ O(g(n)), then g(n) ∈ (t (n)).b. (αg(n)) = (g(n)), where α > 0.c. (g(n)) = O(g(n)) ∩ (g(n)).d. For any two nonnegative functions t (n) and g(n) defined on the set ofnonnegative integers, either t (n) ∈ O(g(n)), or t (n) ∈ (g(n)), or both

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Solution

Sure, let's go through these one by one:

a. This statement is not always true. The notation t(n) ∈ O(g(n)) means that t(n) is upper bounded by g(n) up to a constant factor. However, g(n) ∈ Ω(t(n)) means that g(n) is lower bounded by t(n) up to a constant factor. These are not necessarily the same. For example, consider t(n) = n and g(n) = n^2. Here, t(n) ∈ O(g(n)) but g(n) is not in Ω(t(n)) because n^2 is not lower bounded by n.

b. This statement is true. The notation Θ(αg(n)) = Θ(g(n)) means that the growth rates of αg(n) and g(n) are the same. This is true because the constant factor α does not change the growth rate of the function.

c. This statement is true. The notation Θ(g(n)) = O(g(n)) ∩ Ω(g(n)) is the definition of Θ notation. It means that a function is in Θ(g(n)) if and only if it is both upper bounded by g(n) (O(g(n))) and lower bounded by g(n) (Ω(g(n))).

d. This statement is not always true. It is possible for two functions to not be in O or Ω of each other. For example, consider t(n) = n and g(n) = n^2. Here, t(n) is not in O(g(n)) and g(n) is not in Ω(t(n)).

This problem has been solved

Similar Questions

For each of the following statements, mark in the answer sheets whether the statement istrue or false.(a) Let f and g be positive functions. Then, f (n) + g(n) ∈ O(n) implies that f ∈ O(n)and g ∈ O(n).(b) There exist functions f, g ∈ Ω(n) such that f − g ∈ Ω(g) and 2g − f ∈ Ω(f ).

Which of the following is false on two positive functions f and g?A. if f = ⇥ (g), then g = ⌦ (f )B. if f = ⇥ (g), then g = ⇥ (f )C. if f = ⇥ (g), then g = O(f )D. none of them.

The following statements are equivalent:1 f ∈ Ω(g )2 g ∈ O(f )Proof. → Exercise

A) Big-O notation and loop invariants1. Let g(n) be a function. For each of the following statements, mark in the answer sheetswhether it is correct (true = correct, false = incorrect).(a) Θ(g) = {f (n) : There exist positive constants c1, c2 and n0 such that0 ≤ c1 · g(n) ≤ f (n) ≤ c2 · g(n), for all n ≥ n0}(b) Θ(g) = {f (n) : There exist positive constants c1, c2 and n0 such that0 ≤ c1 · f (n) ≤ g(n) ≤ c2 · f (n), for all n ≥ n0}(c) Θ(g) = O(g) ∩ Ω(g)

If f(n) = O(g(n)), which of the following statements is true?g(n) grows faster than f(n) as n increasesf(n) grows faster than g(n) as n increasesf(n) and g(n) grow at the same rate as n increasesNone of the above

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