Normal distribution modified by potential

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SUMMARY

The discussion centers on the modification of normal distribution through the introduction of a "potential" function in the exponent of the Gaussian function. It asserts that while a random process typically follows a Gaussian distribution, deviations can be accounted for by incorporating a potential that alters the squared term in the exponent. This concept is linked to stochastic processes and the Boltzmann distribution, suggesting that any probability law can be represented through this modified Gaussian framework.

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  • Understanding of Gaussian distribution and its properties
  • Familiarity with stochastic processes and probability laws
  • Knowledge of mathematical functions and exponentiation
  • Basic comprehension of the Boltzmann distribution
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Normal distribution modified by "potential"

For a random process the distribution if described by a gaussian distribution. But if the process has components that throw off the normal distribution, can any distribution be described by a gaussian distribution with another function, call it a potential, in the exponent of the gaussian added to the squared term?
 
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friend said:
For a random process the distribution if described by a gaussian distribution.
You can cook up a stochastic process with any probability law you want

friend said:
But if the process has components that throw off the normal distribution, can any distribution be described by a gaussian distribution with another function, call it a potential, in the exponent of the gaussian added to the squared term?

This is related to your question http://en.wikipedia.org/wiki/Boltzmann_distribution
 

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