For a given function g(n), we denote Θ(g(n)) is following set of functions.
Θ(g(n)) = {f(n): there exist positive constants c1, c2 and n0 such that 0 <= c1*g(n) <= f(n) <= c2*g(n) for all n >= n0}
Clearly,
0 <= p5 <= p5 + 4p3 + 11 for p >= 0
Hence, for c = 1 and p0 = 0, we have
g(p) = Ω(p5)
And,
0 <= p5 + 4p3 + 11 <= p5 + 4p5 for p >= 2
Hence, for c = 5 and p0 = 2, we have
g(p) = O(p5)
Hence, g(p) = Θ(p5)
Give complete proof for the growth rates of the following polynomial. Please provide specific values for...
1. Prove the growth rates of the polynomials below. You should provide values for c and no. Prove that f-e(n)
Provide a complete and accurate e-N proof that the following sequences converge. That is, prove these sequences converge. 2Ti3 1 Provide a complete and accurate e-N proof that the following sequences converge. That is, prove these sequences converge. 2Ti3 1
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(computability and complexity - reductions): PLEASE ONLY ANSWER IF YOU CAN PROVIDE A FULL PROOF IN ACADEMIC LEVEL Defining a new kind of reduction: a reduction in log-logarithmic space. for it, let's define a log-logarithmic transformer that is identical to a logarithmic transformer, but it's working tape can hold O(log(logn) symbols and not O(logn) symbols. We'll say a language A can be reduced in a log-logarithmic space to language B and denote A ≤LLB, if exists a transformer with log-logarithmic...
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