catsarebad
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Homework Statement
show that minimal poly for a sq matrix and its transpose is the same
Homework Equations
The Attempt at a Solution
no clue.
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The discussion revolves around proving that the minimal polynomial for a square matrix and its transpose is the same. Participants are exploring the properties of eigenvalues and the implications of the minimal polynomial in relation to matrix transposition.
The discussion is ongoing, with participants raising questions about the implications of eigenvalue properties and their connection to the minimal polynomial. Hints have been provided, but there is no explicit consensus on the next steps or a clear direction established.
Participants note the lack of clarity regarding how certain properties of matrices relate to the minimal polynomial, indicating potential gaps in understanding or assumptions that need to be addressed.
catsarebad said:Homework Statement
show that minimal poly for a sq matrix and its transpose is the same
Homework Equations
The Attempt at a Solution
no clue.
pasmith said:Let \lambda be an eigenvalue of A of geometric multiplicity n. Then
(A - \lambda I)^n = 0
but
(A - \lambda I)^{m} \neq 0
for every positive integer m < n.
Given that, can you show that (A^T - \lambda I)^n = 0 and that there does not exist a positive integer m < n such that (A^T - \lambda I)^m = 0?
catsarebad said:i'm not sure where we are going with this.
i assume this is a property
(A - \lambda I)^n = 0
but
(A - \lambda I)^{m} \neq 0
for every positive integer m < n.
but i don't get how showing the next part will help with minimal poly problem.