Jordan Normal Form / Jordan basis

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SUMMARY

The discussion focuses on determining the Jordan Normal Form and finding a Jordan basis for the matrix A = [[3, -3, 1], [2, -2, 1], [2, -3, 2]]. The characteristic polynomial reveals a single eigenvalue, t = 1, leading to the calculation of the kernel dimensions. The participant calculates rk(A - I) = 1 and dimKer(A - I) = 2, indicating a Jordan block of size 2. The confusion arises from differing approaches to selecting basis vectors for the kernel, specifically whether to use vectors from the Reduced Row Echelon Form (RREF) or other vectors corresponding to missing leading ones.

PREREQUISITES
  • Understanding of Jordan Normal Form and Jordan basis
  • Familiarity with eigenvalues and eigenvectors
  • Knowledge of matrix rank and kernel dimensions
  • Proficiency in performing matrix operations, including RREF
NEXT STEPS
  • Study the process of calculating Jordan Normal Form for matrices
  • Learn about the implications of eigenvalue multiplicity on Jordan blocks
  • Explore the differences between using RREF and other forms for basis selection
  • Investigate the relationship between kernel dimensions and the structure of Jordan chains
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Students and educators in linear algebra, particularly those studying matrix theory and Jordan forms, as well as anyone seeking clarity on the selection of basis vectors in the context of Jordan Normal Form.

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Homework Statement



Determine the Jordan Normal form and find some Jordan basis of the matrix
3 -3 1
A = 2 -2 1
2 -3 2

Homework Equations



dim(A) = rk(A) + dimKer(A)

The Attempt at a Solution



My problem here is that my lecturer seems to be doing completely different things with every question and it's getting confusing.

So, I calculated the characteristic polynomial of the matrix, and got one
eigenvalue of t = 1.

So I'm now dealing with the matrix A - tI, in this case A - I.

rk(A - I) = 1, so dimKer(A - I) = 2.

(A - I)^2 = 0 = B

So rk(B) = 0, then dimKer(B) = 3

Continually raising the powers of A - I will results in 0, so the kernels of powers stabilize at the second step, so we should expect a thread of length 2.

The kernel of A - I is spanned by the vectors ( 3/2, 1, 0) and (-1/2, 0, 1)
I should be using columns instead of rows, but I don't know latex so this was the easiest way to write it. Just imagine they were written as columns..


Now, I'm lost. Can you please explain what to do, step by step, and please state where something would be done differently in a different scenario.

Thank you!
 
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Here's the main issue, when I find out what vectors span the kernel, and use those as columns of a new matrix, I then reduce that matrix to Reduced Column Echelon Form.

That's fine, but, in some of my lecturers examples he takes a vector corresponding to the missing leading one as a basis, and it others he takes one of the columns of the RCEF.

My question: why the differences and does it matter which of the columns are taken?
 
Anyone?
 

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