How Do You Solve Complex Fourier Integrals in Probability Theory?

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The discussion focuses on solving complex Fourier integrals in probability theory, specifically the integral defined as f(q)=∫_{-∞}^{+∞} a*b*x^(b-1)*exp(-a*x^b)*exp(i*q*x)*dx. The user seeks to apply the convolution theorem to derive the probability density function (pdf) of the sum of n independent and identically distributed (IID) random variables, denoted as S_n. The final solution involves evaluating the integral F(S_n)=(1/2π)∫_{-∞}^{+∞}f_n(q)*exp(-i*q*x)*dq, although the user expresses doubt regarding the existence of an analytical solution for the integral f(q).

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capitano_nemo
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Hi to everybody

I have to solve this Fourier integral:

1) f(q)=\int_{-infty}^{+infty}a*b*x^(b-1)*exp(-a*x^b)*exp(i*q*x)*dx

and if S_n=x_1+...+x_n, with S_n the sum of n random variables IID, then I can write:

f_n(q)=[f(q)]^n,(convolution theorem), then the anti-trasform of f_n(q) give the pdf of the variable S_n.

2) F(S_n)=(1/2*pi)*\int_{-infty}^{+infty}f_n(q)*exp(-i*q*x)*dq.

I must to solve the equations 1) and 2) in order to solve my problem, the equation 2) is the final solution of the problem.

Thanks
 
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[tex]f(q)=ab\int_{-\infty}^{\infty}x^{b-1}\exp(-a\,x^b) \exp(i \,q\,x)dx[/tex]

I don't think that this integral has an analytical solution...
 

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