When Should Physics Students Use Eigenvectors?

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    Eigenvector Method
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SUMMARY

Physics students should utilize eigenvectors and eigenvalues when dealing with linear transformations represented by equations such as Matrix x Vector = Scalar x Vector or Operator x Function = Scalar x Function. In these scenarios, the scalar represents an eigenvalue that needs to be determined. Eigenvectors facilitate the simplification of linear transformations into diagonal or Jordan normal form, which is essential for understanding the structure of vector spaces. Mastery of these concepts is crucial for effectively analyzing systems in physics.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically eigenvectors and eigenvalues.
  • Familiarity with matrix operations and transformations.
  • Knowledge of differential equations and their applications in physics.
  • Basic proficiency in mathematical notation and problem-solving techniques.
NEXT STEPS
  • Study the properties and applications of eigenvectors and eigenvalues in linear algebra.
  • Learn about diagonalization of matrices and its significance in simplifying linear transformations.
  • Explore Jordan normal form and its relevance in cases where a complete set of eigenvectors is not available.
  • Investigate practical applications of eigenvalues in physics, such as stability analysis and quantum mechanics.
USEFUL FOR

This discussion is beneficial for physics students, educators, and anyone interested in applying linear algebra concepts to physical systems and transformations.

imaloonru
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I'm a physics major. As such, I have come across several situations in my studies that require the use of eigenvectors and eigenvalues. Whenever I have to use this method, I've been told to. I do not have a complete understanding of eigenvectors and values and am wondering how you would spot a situation where you would need to use them.

For example, if I wanted to know when or where the rate of change of something was 0, I would take a derivative, set it equal to zero, then solve for some variable. What sort of situation would I look for (in general) that would make me say "Hey! I need to find some eigenvectors here."?

Thanks.
 
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Welcome to PF.

In general, if you have an equation of the form
Matrix x Vector = Scalar x Vector​
or
Operator x Function = Scalar x Function​
The "Scalar" is an eigenvalue that you must find.
 
Also you can "simplify" linear transformations, writing them as matrices in either diagonal or Jordan normal form, with eigenvalues on the diagonal, by using the eigenvectors (or if there is not a complete set of eigenvectors, the "generalized" eigenvectors) as basis for the vector space.
 
Thanks guys. This helps.
 

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