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Use Exercise\(31\)to show that if\(a < {b^d}\), then\(f(n)\)is\(O\left( {{n^{{{\log }_b}a}}} \right)\).

Short Answer

Expert verified

The expression\(f(n) = O\left( {{n^{{{\log }_b}a}}} \right)\)is proved.

Step by step solution

01

Define the Recursive formula

A recursive formula is a formula that defines any term of a sequence in terms of its preceding terms.

02

Solve by recursive procedure on \(f(n)\)

From exercise\(31\), for \(a \ne {b^d}\) and\(n\)is a power of\(b\), then \(f(n) = {C_1}{n^d} + {C_2}{n^{{{\log }_b}a}}\) for constants \({C_1}\)and\({C_2}\).

Now given\(a > {b^d}\).

So,\({\log _b}a > d\).

This gives\(f(n) = {C_1}{n^d} + {C_2}{n^{{{\log }_b}a}} < \left( {{C_1} + {C_2}} \right){n^{{{\log }_b}a}} \in O\left( {{n^{{{\log }_b}a}}} \right)\)

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Most popular questions from this chapter

How many comparisons are needed to locate the maximum and minimum elements in a sequence with 128 elements using the algorithm in Example 2?

(Linear algebra required) Let \({{\bf{A}}_n}\) be the \(n \times n\) matrix with \(2\;{\rm{s}}\) on its main diagonal, 1s in all positions next to a diagonal element, and \(0\)s everywhere else. Find a recurrence relation for\({d_n}\), the determinant of \({{\bf{A}}_n}\) - Solve this recurrence relation to find a formula for\({d_n}\).

Suppose that the votes of npeople for different candidates (where there can be more than two candidates) for a particular office are the elements of a sequence. A person wins the election if this person receives a majority of the votes.

a) Devise a divide-and-conquer algorithm that determines whether a candidate received a majority and, if so, determine who this candidate is. [Hint: Assume that nis even and split the sequence of votes into two sequences, each with n/2elements. Note that a candidate could not have received a majority of votes without receiving a majority of votes in at least one of the two halves.]

b) Use the master theorem to give a big-Oestimate for the number of comparisons needed by the algorithm you devised in part (a).

Find the coefficient of \({x^9}\) in the power series of each of these functions.

a) \({\left( {1 + {x^3} + {x^6} + {x^9} + \cdots } \right)^3}\)

b) \({\left( {{x^2} + {x^3} + {x^4} + {x^5} + {x^6} + \cdots } \right)^3}\)

c) \(\left( {{x^3} + {x^5} + {x^6}} \right)\left( {{x^3} + {x^4}} \right)\left( {x + {x^2} + {x^3} + {x^4} + \cdots } \right)\)

d) \(\left( {x + {x^4} + {x^7} + {x^{10}} + \cdots } \right)\left( {{x^2} + {x^4} + {x^6} + {x^8} + } \right.\)\( \cdots )\)

e) \({\left( {1 + x + {x^2}} \right)^3}\)

Prove Theorem 4.

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