Comp Sci Prove Dijkstra's O(E + VlogV) complexity

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SUMMARY

The discussion focuses on proving Dijkstra's algorithm complexity of O(E + V log V) using Fibonacci Heaps for efficient minimum extraction. The key points include the necessity of visiting each edge and vertex, leading to a time complexity of O(|E|·T1 + |V|·T2), where T1 is the time for the decrease key operation and T2 is for extracting the minimum. The use of Fibonacci Heaps, which operate in O(log n) time, is crucial for demonstrating that T1 is O(1) and T2 is greater than O(log |V|).

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SadPaul
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Homework Statement
Prove that Dijkstra's time complexity O(E + VlogV) with Fibonacci priority queue is the best by reducing it to a sorting problem
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My effort:
I think that the sorting problem in question is Heap Sort which has an O(logV) complexity, but how can I operate with that information so I can solve this? Can you help me by giving me the outline of an idea?
 
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I would reason this way:

You have to visit each edge and each vertex at least once, for otherwise you might lose the minimum. This gets you ##O(|E|\cdot T_1 +|V|\cdot T_2)## where ##T_i## is the time you use at each edge: ##T_1=T(\text{decrease key})## and the time at each vertex: ##T_2=T(\text{extract minimum})##.

To extract minimum we use Fibonacci Heaps which run in ##O(\log n)##. So all you have to do is to show that ##T_1=O(1)## and ##T_2 > O(\log |V|)##. So you have to show the lower boundary for the sort operation via Fibonacci heap (sufficiency) and that any sort algorithm needs at least ##O(\log n)## (necessity).
 
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