Elliptic trigonometric functions as basis for function expansion ?

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Discussion Overview

The discussion revolves around the potential use of elliptic trigonometric functions, specifically Sn and Cn, as a basis for function expansion, similar to Fourier transforms. Participants explore the theoretical implications and possible applications of such an approach, while also seeking clarification on the nature of elliptic functions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant expresses interest in using elliptic trigonometric functions for signal decomposition, drawing parallels to Fourier transforms and linear algebra.
  • Another participant seeks clarification on what is meant by "elliptic trigonometric functions like Sn, Cn."
  • A participant discusses the general concept of expressing functions as sums of basis functions, emphasizing the importance of orthogonality in basis vectors.
  • There is mention of a lack of established bases consisting of elliptic functions, with a reference to a specific paper that may contain relevant information.
  • One participant provides a basic definition of elliptic functions, noting their relation to ellipses rather than circles.
  • A participant expresses surprise at the apparent lack of exploration into using elliptic functions for function expansion, while acknowledging the possibility that such an approach may complicate matters.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the use of elliptic trigonometric functions as a basis for function expansion. Multiple viewpoints and questions remain regarding the feasibility and existing literature on the topic.

Contextual Notes

There are limitations in the discussion, including the lack of established definitions and the potential complexity introduced by using elliptic functions. The mathematical steps and implications of such an approach remain unresolved.

Avaro667
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Hey everyone .
So I've started reading in depth Fourier transforms , trying to understand what they really are(i was familiar with them,but as a tool mostly) . The connection of FT and linear algebra is the least mind blowing for me 🤯! It really changed the way I'm thinking !

So i was wondering whether it could be possible to go even further and decompose a signal or function f(x) ,if you prefer, using elliptic trigonometric functions like Sn,Cn . Has anyone heard of such thing before ? I tried to search it myself but i didn't find anything relevant . I would be really interested knowing possible applications or even discovering more cool connections and meanings . Any thoughts on the subject will be much appreciated,thank you!
 
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What are these "elliptic trigonometric functions like Sn, Cn"?
 
Avaro667 said:
Has anyone heard of such thing before ? I tried to search it myself but i didn't find anything relevant .

Many ways of expressing functions as a sum of other functions have been studied. The situation is analagous to expressing a vector as a sum of basis vectors. Different basis vectors can be used. It is convenient if the basis vectors are orthogonal. With an orthogonal basis the coefficient that is used for each basis vector can be found by projecting the vector onto that basis vector. In dealing with functions, projecting function ##f(x)## on basis function ##b_i(x)## is done by ##\int f(x)b_i(x) dx##. For othogonal basis functions ##b_i, b_j##, ##\int b_i(x) b_j(x) = 0##. https://en.wikipedia.org/wiki/Orthogonal_functions

I don't know if there is an often used basis consisting of elliptic functions. A quick web search turns up http://www.kurims.kyoto-u.ac.jp/~kyodo/kokyuroku/contents/pdf/1838-07.pdf section 5.5, but I don't understand that paper.

Simpler types of functions have been studied - for example, orthogonal polynomials https://en.wikipedia.org/wiki/Orthogonal_polynomials
 
Infrared said:
What are these "elliptic trigonometric functions like Sn, Cn"?

I'm sure you will find a more strict definition than i can give right now. But the main idea is I'm talking about like ordinary trigonometric functions but instead of being defined on a circle they're defined on an ellipse .
 
Stephen Tashi said:
Many ways of expressing functions as a sum of other functions have been studied. The situation is analagous to expressing a vector as a sum of basis vectors. Different basis vectors can be used. It is convenient if the basis vectors are orthogonal. With an orthogonal basis the coefficient that is used for each basis vector can be found by projecting the vector onto that basis vector. In dealing with functions, projecting function ##f(x)## on basis function ##b_i(x)## is done by ##\int f(x)b_i(x) dx##. For othogonal basis functions ##b_i, b_j##, ##\int b_i(x) b_j(x) = 0##. https://en.wikipedia.org/wiki/Orthogonal_functions

I don't know if there is an often used basis consisting of elliptic functions. A quick web search turns up http://www.kurims.kyoto-u.ac.jp/~kyodo/kokyuroku/contents/pdf/1838-07.pdf section 5.5, but I don't understand that paper.

Simpler types of functions have been studied - for example, orthogonal polynomials https://en.wikipedia.org/wiki/Orthogonal_polynomials

Thank you Stephen i will try to take a look on this paper ! I'm surprised it doesn't seem like people have even tried this .Of course there's a good chance this transform just make things worse,but my intuition right now says to confirm it .
 

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