What are the properties of matrices and their powers?

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SUMMARY

This discussion addresses two specific problems related to matrix operations. The first problem involves determining an elementary matrix that scales the third row of a 3x3 matrix A by 2/3, requiring the construction of a matrix B such that BA results in the desired transformation. The second problem focuses on eigenvalues and eigenvectors, specifically proving that if v is an eigenvector of matrix A associated with eigenvalue lambda, then v is also an eigenvector of A^2 with the associated eigenvalue lambda^2.

PREREQUISITES
  • Understanding of elementary matrices and their operations
  • Knowledge of eigenvalues and eigenvectors
  • Familiarity with matrix multiplication
  • Concept of matrix powers, specifically A^2
NEXT STEPS
  • Study the construction and properties of elementary matrices
  • Learn about eigenvalues and eigenvectors in depth
  • Explore the implications of matrix powers on eigenvectors
  • Investigate the relationship between matrix transformations and their effects on rows
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Students and educators in linear algebra, mathematicians focusing on matrix theory, and anyone seeking to deepen their understanding of matrix properties and eigenvalue problems.

Max Power
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I have a few problems at which I'm at a loss.

The first problem asks to "determine the elementary matrix that will multiply the third row of a 3x3 matrix by 2/3". I'm not even sure what this problem is asking. If A is a 3x3, is this problem asking for a matrix, B, which when you do AB, the third row of A is multplied by 2/3?

The second problem says "Let lambda be an eigenvalue and v an associated eigenvector of matrix A. Prove that v is also an eigenvector for A^2. What is the associated eigenvlue?" I can't find anything about the properties of matrices and their powers?

Might someone be able to offer a nudge or push in the right direction for either of these problems?

Thank you.
 
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The second question is asking, if Av= lambdav, with lambda the eigenvlaue and v the associated eigenvector, prove that v is also an eigenvecotr for A^2, or A^2v = deltav, with delta the eigenvalue.
 
As for the first question, it's asking for a matrix B such that the third row of A is 2/3 its original value when you calculate BA.
 

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