MHB Solving Recurrence Relations Using Master Theorem/Akra-Bazzi

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The Master Theorem is a method for analyzing the time complexity of divide-and-conquer algorithms, providing a straightforward way to solve recurrence relations of the form T(n) = aT(n/b) + f(n). For the first recurrence, T(n) = 3T([n/3]) + n, it can be solved using the Master Theorem, yielding T(n) = Θ(n). The second recurrence, T(n) = T([n/4]) + T([n/3]) + n, does not fit the Master Theorem's criteria and should be approached with the Akra-Bazzi method. The third recurrence, T(n) = 2T([n/4]) + √n, can also be solved using the Master Theorem, resulting in T(n) = Θ(n^0.5). Understanding these theorems is crucial for efficiently solving recurrence relations in algorithm analysis.
vapatel
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first state whether it can be solved using the Master Theorem, and if it can then use that. Otherwise, use the Akra-Bazzi formula.

1. T(n) = 3T([n/3])+n

2. T(n) = T([n/4])+T([n/3])+n

3. T(n) = 2T([n/4])+√n
 
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Okay, what is the "master theorem" and what is the "Akra-Bazzi theorem"?
 
Greetings, I am studying probability theory [non-measure theory] from a textbook. I stumbled to the topic stating that Cauchy Distribution has no moments. It was not proved, and I tried working it via direct calculation of the improper integral of E[X^n] for the case n=1. Anyhow, I wanted to generalize this without success. I stumbled upon this thread here: https://www.physicsforums.com/threads/how-to-prove-the-cauchy-distribution-has-no-moments.992416/ I really enjoyed the proof...

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