The Probabilistic argument

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In summary, the question is whether it can be proven that the summatory function A(x) is of order O(x^{1/2+e}) given that f(n) can only take two values, and if this proves the Riemann Hypothesis. However, it is argued that the Mertens function is not truly random and thus this argument does not necessarily prove the Riemann Hypothesis.
  • #1
zetafunction
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the question is if we suppose that a function f(n) can take only two values +1 and -1 both with equal probability and define the summatory

[tex] \sum_{n=0}^{x}f(n) =A(x) [/tex]

how can one prove that [tex]A(x)= O(x^{1/2+e}) [/tex]
?? if we set A(n)=M(n) the Mertens function and since

[tex] \sum_{n=0}^{\infty}(M(n)-M(n-1))n^{-s} =1/ \zeta (s) [/tex]

then is RH true by this argument? ,
 
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  • #2
A(x) is a random variable, so you oughtn't you to be asking for something like E(A(x)), or E(A(x)^2)?
 
  • #3
zetafunction said:
then is RH true by this argument?

Are you really arguing that the value of the Mertens function is independent of its argument? That seems like a non-starter to me.

At best you have a heuristic suggesting that RH 'should' be true, but there are plenty of those.
 
  • #4
zetafunction said:
how can one prove that [tex]A(x)= O(x^{1/2+e}) [/tex]

That is true, with probability one, if f(n) are independent. In fact, the law of the iterated logarithm says that with probability one it is of order [itex]O(\sqrt{x\log\log x})[/itex].

zetafunction said:
then is RH true by this argument? ,

as CRGreathouse mentions, this does not follow because the Mertens function is deterministic and not random. It's expected to share many properties of a random sequence, but that hasn't been proven.
 

1. What is the probabilistic argument?

The probabilistic argument is a logical reasoning that uses probability to support a conclusion or hypothesis. It is based on the idea that the likelihood of an event occurring can be used as evidence to support a certain claim.

2. How does the probabilistic argument work?

The probabilistic argument works by using mathematical or statistical methods to assign a probability to a hypothesis or claim. This probability represents the strength of the evidence supporting the claim and can be used to evaluate the validity of the argument.

3. What makes the probabilistic argument a strong argument?

The strength of the probabilistic argument lies in the use of probability to support a claim. This means that the argument is based on quantifiable evidence, making it more objective and less prone to biases or personal opinions.

4. Are there any limitations to the probabilistic argument?

Like any other argument, the probabilistic argument is not foolproof and has its limitations. One limitation is that it relies on the accuracy and reliability of the data used to calculate probabilities. Additionally, the argument may not consider all possible factors that could affect the outcome.

5. How is the probabilistic argument used in scientific research?

The probabilistic argument is commonly used in scientific research to support or refute a hypothesis. It allows scientists to evaluate the likelihood of their hypothesis being true based on the available evidence. It can also be used to make predictions and guide further research.

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