solve the following recurrence relations a. 𝑇(𝑛) = 𝑇( 𝑛/4) + 𝑇( 𝑛/2 ) + 𝑛^2 b. T(n) = T(n/5) + T(4n/5) + n c. 𝑇(𝑛) = 3𝑇( n/4 ) + 𝑐𝑛^2 f. 𝑇(𝑛) = (𝑛/𝑛−5) * 𝑇(𝑛 − 1) + 1 g. 𝑇(𝑛) = 𝑇(log 𝑛) + log 𝑛 h. 𝑇(𝑛) = 𝑇 (𝑛^ 1/ 4) + 1 i. 𝑇(𝑛) = 𝑛 + 7 √𝑛 ∙ 𝑇(√𝑛) j. 𝑇(𝑛) = 𝑇 ( 3𝑛/4 ) + 1/root(n)

a.

$T(n)=n^2+5n^2/16+25n^2/256+...=n^2/(1-5/16)$

$T(n)=O(n^2)$

c.

Comparing with $T(n)=aT(n/b)+f(n)$ :

$a=3,b=4$

so, we have:

$f(n)=\Omega(n^{log_ba})=\Omega(n^{log_43})$

by Master Theorem:

$T(n)=\Theta(f(n))=\Theta(n^2)$

b.

additive term is exactly the current subproblem size, so T(n) is simply the sum of all numbers that appear in this tree. the:

$T(n)\ge nlog_5n$ and $T(n)\le nlog_{5/2}n$

so,

$T(n)=\Theta(nlogn)$

g.

for the upper bound:

$T(n)=O(logn)$

also $T(n)=\Omega(logn)$

so,

$T(n)=\Theta(logn)$

j.

using Master Theorem:

$f(n)=O(n^{log_{4/3}3})$

so,

$T(n)=\Theta(n^{log_{4/3}3})$

h.

$𝑇(𝑛) = 𝑇 (𝑛^{ 1/ 4}) + 1=𝑇 (𝑛^{ 1/ 16}) + 2=𝑇 (𝑛^{ 1/ 64}) + 3=𝑇 (𝑛^{ 1/ 4^n}) + n$

$T(n)=O(n)$

i.

$𝑇(𝑛) = 𝑛 + 7 𝑇(\sqrt𝑛)\sqrt n=7\sqrt n(7T(n^{1/4})n^{1/4}+n^{1/2})+n=$

$=7^kn^{1/2+1/4+1/8+...+1/2^k}T(n^{1/2^k})+...+n$

$1/2+1/4+1/8+...+1/2^k=1-1/2^k$

let $n^{1/2^k}=2$ , then:

$𝑇(𝑛)=7^nT(2)n/2+...+n$

$𝑇(𝑛)=O(7^nn)$

f.

$𝑇(𝑛) = (𝑛/(𝑛−5)) 𝑇(𝑛 − 1) + 1$

$T(n)=(\frac{n}{n-5})^{n-1}T(1)+(\frac{n}{n-5})^{n-2}+...+1$

$T(n)=O(1)$