Algebraic Muliplicity of an EigenVector

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Discussion Overview

The discussion revolves around the concept of algebraic multiplicity (A.M.) of eigenvalues in the context of linear algebra, specifically related to finding eigenvalues and eigenvectors of a given matrix. Participants explore definitions and implications of A.M. and its relationship to the characteristic polynomial.

Discussion Character

  • Conceptual clarification
  • Debate/contested
  • Homework-related

Main Points Raised

  • One participant expresses confusion about the meaning of algebraic multiplicity in a specific problem involving eigenvalues and eigenvectors.
  • Another participant requests a definition of algebraic multiplicity.
  • A third participant provides a definition, stating that algebraic multiplicity refers to the multiplicity of the corresponding root of the characteristic polynomial.
  • There is uncertainty about whether algebraic multiplicity indicates the number of unique roots or the number of times an eigenvalue is repeated.
  • A later reply emphasizes the importance of understanding definitions and encourages looking up information rather than guessing.
  • One participant acknowledges their lack of coverage on the topic in their textbook and expresses gratitude for the provided link.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the precise interpretation of algebraic multiplicity, with some expressing confusion and others providing differing perspectives on its definition.

Contextual Notes

There is a lack of clarity regarding the distinction between unique roots and repeated eigenvalues in the context of algebraic multiplicity, which remains unresolved.

Ghost101
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1.Hello! I am having trouble understanding what A.M. is in the problem which asks, "Find the eigenvalues and eigenvectors associated with the matrix and find the a.m and g.m of each;

for example...

-1 0 0
1 0 1 - I * Lambda
0 2 1

The Attempt at a Solution



gives

(-1 - lambda)(-2 + Lambda)(1 + Lambda) = 0

Lambda = -1, -1, -2

The Eigenvector for -1 is t*

0
-1
1 Now it says the a.m. is two? but I don't understand why? :S

the g.m is obviously one because there is only one column.
 
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Tell us the definition of algebraic multiplicity.
 
wiki;

They are called multiplicities: the algebraic multiplicity of an eigenvalue is defined as the multiplicity of the corresponding root of the characteristic polynomial.

So... its basically how many unique roots there are? is that why its 2?

or does it mean that the eigenvalue is repeated twice so its 2?
 
To do math, you have to know definitions. If you don't know what a term means, instead of guessing, look it up. It's not enough to find just one definition, like the one in Wikipedia, if you don't understand what it's saying. Keep looking until you find a definition or example that makes it clear.

http://tutorial.math.lamar.edu/Classes/DE/LA_Eigen.aspx

I know I could just tell you the answer, but I want to encourage you to develop habits so you can find answer to these really basic questions yourself, especially these days where looking things up online is so easy to do. Also, you presumably spent a good chunk of money on a textbook, so use it. I know students often don't like to read a text because they find it confusing, but working through this confusion is often where the real learning occurs. And, again, it's a skill you need to develop to succeed in your studies.
 
Ah yes! I see now, a good link.

and yes I'm sorry for the trivial question, my textbook doesn't cover it unfortunately ;(

Thanks again!
 

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