Answer: Both Option A and Option B.
The total cost becomes = $n.log_{0.91}(1/n)$.
Now we can say : $n\log_{0.09}\frac{1}{n}\leq T(n)\leq n\log_{0.91}\frac{1}{n}$
Thus, $O(n.log_{0.91}(1/n))$ and $\Omega(nlog_{0.09}\frac{1}{n})$
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Attaching the proof by @Kabir5454 for $\Theta(n.log_{0.91}(1/n))$ or $\Theta(n.log_{0.09}(1/n))$:-
Lets do it formally ,
as already explained $\Omega (n.\frac{\log_{a}n}{\log_{a}\frac{100}{9}})$[ a is some constant base]
$T(n)=O (n.\log_{\frac{100}{91}}n)=O(n.\frac{\log_{a}n}{\log_{a}\frac{100}{91}})=O(n\log_{a}n)$
So,we know ,
$T(n)=Θ(f(n))$ if and only if $T(n)=Ω(f(n)) $ and $T(n)=O(f(n))$ .
So we can conclude ,$T(n)=\Theta(n \log_{a}n).$
This also proof option (B) is true .if we put $a=100/9 .$