Is this a characteristic function?

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Discussion Overview

The discussion revolves around the properties of characteristic functions in probability theory, specifically whether certain transformations of characteristic functions remain characteristic functions. It includes inquiries about specific functions and their classification as characteristic functions, as well as definitions and interpretations of the term "characteristic function."

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant proposes that if \(\phi\) is a characteristic function, then \(e^{\phi-1}\) is also a characteristic function, citing continuity at 0 and properties of limits and products of characteristic functions.
  • The same participant questions whether \(\phi(t)=\frac{e^{-t^2}}{1+\sin^2(t)}\) is a characteristic function, noting difficulty in proving it from a discrete distribution.
  • Another participant mentions the existence of several definitions of "characteristic function" and asks for clarification on the definition being used in the discussion.
  • A different participant provides a definition of characteristic functions in probability theory, describing them as the Fourier transform of the density function or as an integral involving the distribution function.
  • One participant confirms the initial claim about \(e^{\phi-1}\) being a characteristic function, suggesting the use of a weighted sum of characteristic functions with positive weights summing to 1.

Areas of Agreement / Disagreement

There is no consensus on the classification of the function \(\phi(t)=\frac{e^{-t^2}}{1+\sin^2(t)}\) as a characteristic function. Multiple definitions of characteristic functions are acknowledged, indicating potential disagreement on the criteria for classification.

Contextual Notes

Participants have not resolved the assumptions or definitions underlying the characterization of functions as characteristic functions, leading to uncertainty in the discussion.

malami
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1. If \phi is a characteristic function, than is e^{\phi-1} also a characteristic function?

I know some general rules like that a product or weighted sum of characteristic functions are also characteristic functions, also a pointwise limit of characteristic functions is one if it's continuous at 0.

So I think the answet is yes, because e^{\phi-1} is continuous at 0 and it's a limit of the product \phi_n(t)^n
where
\phi_n(t)=1+\frac{\phi(t)-1}{n},
and \phi_n is obviously a characteristic function.

Is this correct?

2. Is \phi(t)=\frac{e^{-t^2}}{1+\sin^2(t)} a characteristic function?
Here I can only prove, that it's not a characteristic function from a discrete distribution. I tried integrating it to get the inverse Fourier transform, but it's too difficult.
 
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I know of several different definitions of "characteristic function". What is your definition?
 
HallsofIvy said:
I know of several different definitions of "characteristic function". What is your definition?
In probability theory, the characteristic function is the Fourier transform of the density function. More generally it is ∫eitxdF(x), where F(x) is the distribution function.
 
The answer for 1. is yes. You can use the weighted sum, where the weights are > 0 and the sum = 1.
eφ-1 = 1/e{1 + φ + φ2/2 + ...φn/n! ...}.
Each φn is a characteristic function (note 1 is the ch. f. of unit dist. at 0) and 1/n! sums to e.
 

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