A probabilistic attempt to solve Riemann Hypothesis using Mertens function.












1












$begingroup$


I know that the following statement:
For every $epsilon>0$
$$M(N)=O(N^{0.5+epsilon})$$ is equivalent to Riemann Hypothesis (Where $M(N)$ is Mertens function).



As Mertens function behaves somehow randomly here is idea to treat this function as a translation in random walk. Each step is related to values of independent random variable which is equal to
$$-1,0,+1$$
with probability respectively equal to
$$frac{3}{pi^{2}},1-frac{6}{pi^{2}},frac{3}{pi^{2}}$$
I know that the behaviour of translation will be more generally but on the other hand i saw a statement that given values of probability"uniquely determine the asymptotic behavior of the Mertens function"



I quoted it from this:



https://arxiv.org/ftp/arxiv/papers/1712/1712.04674.pdf



Does have it sense to use here probabilistic tools such as central limit theorem or law of iterated logarithm?



Thanks in advance for answers.










share|cite|improve this question









$endgroup$

















    1












    $begingroup$


    I know that the following statement:
    For every $epsilon>0$
    $$M(N)=O(N^{0.5+epsilon})$$ is equivalent to Riemann Hypothesis (Where $M(N)$ is Mertens function).



    As Mertens function behaves somehow randomly here is idea to treat this function as a translation in random walk. Each step is related to values of independent random variable which is equal to
    $$-1,0,+1$$
    with probability respectively equal to
    $$frac{3}{pi^{2}},1-frac{6}{pi^{2}},frac{3}{pi^{2}}$$
    I know that the behaviour of translation will be more generally but on the other hand i saw a statement that given values of probability"uniquely determine the asymptotic behavior of the Mertens function"



    I quoted it from this:



    https://arxiv.org/ftp/arxiv/papers/1712/1712.04674.pdf



    Does have it sense to use here probabilistic tools such as central limit theorem or law of iterated logarithm?



    Thanks in advance for answers.










    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      I know that the following statement:
      For every $epsilon>0$
      $$M(N)=O(N^{0.5+epsilon})$$ is equivalent to Riemann Hypothesis (Where $M(N)$ is Mertens function).



      As Mertens function behaves somehow randomly here is idea to treat this function as a translation in random walk. Each step is related to values of independent random variable which is equal to
      $$-1,0,+1$$
      with probability respectively equal to
      $$frac{3}{pi^{2}},1-frac{6}{pi^{2}},frac{3}{pi^{2}}$$
      I know that the behaviour of translation will be more generally but on the other hand i saw a statement that given values of probability"uniquely determine the asymptotic behavior of the Mertens function"



      I quoted it from this:



      https://arxiv.org/ftp/arxiv/papers/1712/1712.04674.pdf



      Does have it sense to use here probabilistic tools such as central limit theorem or law of iterated logarithm?



      Thanks in advance for answers.










      share|cite|improve this question









      $endgroup$




      I know that the following statement:
      For every $epsilon>0$
      $$M(N)=O(N^{0.5+epsilon})$$ is equivalent to Riemann Hypothesis (Where $M(N)$ is Mertens function).



      As Mertens function behaves somehow randomly here is idea to treat this function as a translation in random walk. Each step is related to values of independent random variable which is equal to
      $$-1,0,+1$$
      with probability respectively equal to
      $$frac{3}{pi^{2}},1-frac{6}{pi^{2}},frac{3}{pi^{2}}$$
      I know that the behaviour of translation will be more generally but on the other hand i saw a statement that given values of probability"uniquely determine the asymptotic behavior of the Mertens function"



      I quoted it from this:



      https://arxiv.org/ftp/arxiv/papers/1712/1712.04674.pdf



      Does have it sense to use here probabilistic tools such as central limit theorem or law of iterated logarithm?



      Thanks in advance for answers.







      probability-theory asymptotics random-walk riemann-hypothesis






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      share|cite|improve this question











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      asked Jan 6 at 14:31









      mkultramkultra

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