Proof of Central Limit Theorem

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Discussion Overview

The discussion revolves around the proof of the Central Limit Theorem (CLT), specifically exploring alternative methods that do not rely on the uniqueness of moment generating functions. Participants inquire about the use of characteristic functions and other potential approaches to the proof.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants express a desire for proofs of the CLT that do not depend on the uniqueness of moment generating functions.
  • Others suggest that characteristic functions can be used as an alternative, noting that their uniqueness is tied to the Fourier transform of the density function.
  • One participant points out that moment generating functions are not unique in general, while characteristic functions are unique and are typically used in proofs of the CLT.
  • A participant requests resources to understand the uniqueness of characteristic functions and questions their necessity in existing CLT proofs.
  • Links to external resources are provided, indicating that significant background knowledge is required to prove the CLT, which is often omitted in undergraduate courses.
  • Another participant mentions that while characteristic functions are useful, they are not the only method for proving the CLT, referencing Stein's method as an alternative approach.

Areas of Agreement / Disagreement

Participants generally agree that characteristic functions are a viable alternative for proving the CLT, but there is no consensus on the necessity of moment generating functions or the uniqueness properties required for different proofs. Multiple competing views on the methods remain unresolved.

Contextual Notes

Limitations include the potential lack of understanding of characteristic functions among participants and the assumption that significant background knowledge is necessary for comprehending the proofs of the CLT.

Who May Find This Useful

Readers interested in advanced probability theory, mathematical statistics, or those seeking alternative proofs of the Central Limit Theorem may find this discussion relevant.

chingkui
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I have been reading some books about the proof of the Central Limit Theorem, all of them use the uniqueness of moment generating function. But since I have not yet seen a proof of the uniqueness properties, is there any proof that does not use this result? Thanks.
 
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It can be done in terms of Characteristic functions also. A brief proof is given on the wikipedia site for Central Limit Theorem. Uniqueness of a characteristic function holds because it is just the Fourier transform of the corresponding density function, up to a multiplicative constant
 
chingkui said:
I have been reading some books about the proof of the Central Limit Theorem, all of them use the uniqueness of moment generating function. But since I have not yet seen a proof of the uniqueness properties, is there any proof that does not use this result? Thanks.

Moment generating functions are not unique in general. Proof of CLT uses characteristic function and CF's are unique.
 
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I am not familiar with the characteristic function, is there a place I can quickly read about its uniqueness? Is characteristic function a necessary step in existing CLT proofs? Thanks.
 
1) http://tt.lamf.uwindsor.ca/65-540/540Files/11.pdf
2) http://tt.lamf.uwindsor.ca/65-540/540Files/13.pdf

You need a lot of background to prove this result, which is why it's often skipped in undergraduate courses.
 
Last edited by a moderator:
ch.f is not the only tool for proving CLT, however in proper setting it is quick and convinient; as far as i know, stein's method another approach:cool:
 

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