This is a question from a previous exam in Graph theory and algorithms, the correct answer is E but I don't understand why.
Given a network flow $(G,c)$ over graph $G(V,E) $.
Assume we run Edmonds-Karp algorithm to find the max flow with the Max Bottleneck approach.
After $\frac{|E|}{2}$ iterations we decide to stop the algorithm. What is true about the current flow?
The flow we found is a maximum flow.
The flow we found is at least $\frac{3}{4}$ of the max flow.
The flow we found is at least $\frac{1}{2}$ of the max flow.
The flow we found could be be as small as we like depending on $c $ and $G$.
all above answers are wrong.
In class we proved a lemma that says this ($f^*$ is the max flow) $$ \left|f^{*}\right|-\left|f^{k}\right|\le\left(1-\frac{1}{\left|E\right|}\right)^{k}\left|f\right|\implies $$ $$ \left|f^{*}\right|-\left|f^{\frac{\left|E\right|}{2}}\right|\le\left(1-\frac{1}{\left|E\right|}\right)^{\frac{\left|E\right|}{2}}\left|f\right| $$ now we can use Taylor's approximation for the binomial function and get that: $$ \left|f^{*}\right|-\left|f^{\frac{\left|E\right|}{2}}\right|\le\left(1-\frac{1}{\left|E\right|}\right)^{\frac{\left|E\right|}{2}}\left|f\right|\approx\left(1-\frac{1}{\left|E\right|}\cdot\frac{\left|E\right|}{2}\right)\left|f\right|=\frac{\left|f\right|}{2}\implies \\ \left|f^{*}\right|-\left|f^{\frac{\left|E\right|}{2}}\right|\le\frac{\left|f\right|}{2} $$ This means that we can improve our flow by as much as $\frac{|f|}{2} $. Why wouldn't answer C be correct?