Eigenvalue Problem: What Is It?

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Discussion Overview

The discussion centers around the concept of the "Eigenvalue Problem," exploring its definition, significance, and applications in physics and mathematics. Participants seek to clarify what constitutes an eigenvalue problem and how it relates to linear operators and transformations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about the term "Eigenvalue Problem" and seeks a clear definition.
  • Another participant provides links to Wikipedia articles on eigenvalues and eigenvectors, noting the lack of detailed information on the eigenvalue problem itself.
  • A participant defines the eigenvalue problem in terms of a linear operator A, eigenvector x, and eigenvalue e, stating that the equation Ax = ex allows for mapping the vector A into a multiple of itself.
  • A later reply corrects the earlier claim that A is a vector, clarifying that A is a linear operator and elaborating on the eigenvalue problem as finding eigenvalues and eigenvectors defined by Au = λu.
  • This participant also mentions examples of eigenvalue problems in physics, such as normal modes of wave equations and stationary states of the Schrödinger equation, indicating that λ represents frequencies and energies.
  • Another participant suggests that understanding eigenvalues and eigenvectors is facilitated by examining linear transformations in two dimensions and questions the OP's familiarity with linear algebra concepts.
  • One participant humorously notes that the OP's question may stem from a misunderstanding of the term "problem" in English, suggesting a linguistic confusion rather than a conceptual one.

Areas of Agreement / Disagreement

Participants express varying levels of understanding regarding the eigenvalue problem, with some providing definitions and examples while others focus on clarifying the terminology. No consensus is reached on a singular definition or understanding of the problem itself.

Contextual Notes

There are limitations in the discussion regarding the assumptions made about the participants' familiarity with linear algebra and the definitions of terms used. The conversation reflects a range of interpretations and clarifications without resolving the underlying confusion about the eigenvalue problem.

Hamza Abbasi
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While reading problems in my physics book , I encountered a statement very often "Eigen Value Problem" , I read about it from many sources , but wasn't able to understand it . So what exactly is an Eigen Value Problem?
 
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Let A=Any vector, x=eigen vector, e=eigen value
The definition of eigenvalue is the following
Ax=ex [where x=eigen vector corresponding to this value],this allows us to find particular values e whereby we can map the vector A into a multiple of itself.
 
whit3r0se- said:
Let A=Any vector, x=eigen vector, e=eigen value
The definition of eigenvalue is the following
Ax=ex [where x=eigen vector corresponding to this value],this allows us to find particular values e whereby we can map the vector A into a multiple of itself.

## A ## is not a vector. It is a linear operator.

The eigenvalue problem is: given a linear operator ## A ## (in a matrix form or otherwise), find it eigenvalues ## \lambda ## and eigenvectors ## u ## defined as $$ Au = \lambda u. $$ Intuitively, an eigenvector is a vector that does not change its direction (except when ## \lambda ## is negative it got flipped) upon the action of ## A ##. Examples of eigenvalue problems ubiquitous in physics are finding normal modes of wave equations or stationary states of the Schrödinger equation in quantum mechanics. In these examples, ## \lambda ## are frequencies and energies respectively. They are eigenvalue problems because differential operators, ##\frac{d}{dx}## and linear combinations of its powers, are linear operators: the derivative of the sum is the same as the sum of derivatives.
 
In order to get a feel for what eigenvalues and eigenvectors are, it is very instructive to look at linear transformations in two dimensions. Are you familiar with the basics of linear algebra (vectors, matrices, changing bases, etc.)?
 
I think the OP was asking what the problem is not what Eigenvectors and values are. I think the problem is that it is problem not problem. Damn english!
 

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