How do I evaluate gaussian integrals with positive, real constants?

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SUMMARY

The discussion focuses on evaluating Gaussian integrals involving the Gaussian distribution function p(x) = Ae-m(x-a)², where A, m, and a are positive real constants. Participants emphasize the need to utilize known integral results, specifically the integral of e^(-x²), which equals π^(1/2). The correct evaluation of the integral requires a u-substitution, u = √m(x - a), to simplify the expression. Additionally, the average values and can be computed using the appropriate integrals, which participants initially miscalculated.

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  • Understanding of Gaussian distribution and its properties
  • Familiarity with integral calculus, specifically Gaussian integrals
  • Knowledge of u-substitution techniques in integration
  • Basic statistics concepts, including mean and variance calculations
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Homework Statement



The book says to consider the gaussian distribution

p(x) = Ae-m(x-a)2

where A, m, and a are all positive, real constants.

I have no idea how to evaluate this! The book says to look up the relevant integrals. I see the integral of e-x2is pi1/2 but I don't know how to relate that to this equation. My guess is the integral is Api1/2but I think m should appear somewhere in that equation.

I also need to find the average for x <x> and the average of x2<x2> BUT when I try to find this by evaluating the integral of xp(x) from infinity to negative infinity I just get 0, and that doesn't seem correct.



The Attempt at a Solution

 
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Try a simple u-substitution, u=\sqrt{m}(x-a)...
 

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