Are Similar Matrices Always Similar to Their Transpose?

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SUMMARY

Two matrices A and B in Mn(C) are similar if and only if they share a Jordan canonical form (JCF). The discussion confirms that a square matrix A is similar to its transpose AT under specific conditions, particularly when both matrices share the same Jordan normal form. The existence of an invertible matrix P such that A' = P-1AP is essential for proving similarity, and the discussion emphasizes that this relationship is not trivial but follows directly from the definition of JCF. The equivalence of similarity relations is also highlighted, reinforcing the foundational concepts of linear algebra.

PREREQUISITES
  • Understanding of Jordan canonical form (JCF)
  • Familiarity with similarity transformations in linear algebra
  • Knowledge of characteristic polynomials and spectra of matrices
  • Basic concepts of matrix theory and linear transformations
NEXT STEPS
  • Study the properties of Jordan normal forms in detail
  • Learn about similarity transformations and their applications in linear algebra
  • Explore the relationship between characteristic polynomials and matrix similarity
  • Investigate conditions under which a matrix is similar to its transpose
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Mathematicians, students of linear algebra, and anyone interested in advanced matrix theory and its applications in various fields such as engineering and computer science.

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1. Show that two matrices A,B ∈ Mn(C) are similar if and only if they share a Jordan canonical form.

2. Prove or disprove: A square matrix A ∈ Mn (F) is similar to its transpose AT. If the statement is false, find a condition which makes it true.
(I'm pretty sure that this is true and can be proven using the above by showing that A and AT share a Jordan form.)

I have a basic understanding of what Jordan blocks are and what JCF matrices look like, but I don't know what the identifying characteristics of a specific JCF are or how to show that two arbitrary matrices share the same form. I know in both questions that the two matrices have the same characteristic polynomial and spectrum, but I don't know where to go from there.
 
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So let's start with the direct implication. Suppose that two matrices A and B share the same JNF. What does this mean explicitly? If A' is a JNF of A, then there exists a matrix P such that A' = P^{-1} A P and A' has a specific form, right? So start working this out and try to show that they are similar (what does it mean explicitly if two matrices are similar?)
 
But the fact that there exists a matrix P such that A'= P-1AP, is the direct definition of similarity and the proof would be trivial. Does it follow directly from the definition of JNF that such a matrix P always exists?
 
No, it's not trivial (very easy, though). If, in what you wrote down, A' is the Jordan normal form, such a matrix P exists and indeed you express there that A is similar to its JNF. So you can assume that. Similarly, suppose that there is a(n invertible) matrix Q such that Q-1ATQ is the same Jordan normal form (and Q is the similarity transformation between the transpose of A and that normal form). Now you still have to prove that A and AT are similar, that is: construct a matrix S such that A = S-1 AT S.
In fact this is a more general statement: if A is similar to C, and B is similar to C, then A is similar to B. You can try and prove that instead (it's actually the same proof as you don't have to use that C is in JNF anywhere). (In fact I think that similarity is even an equivalence relation, and the direct implication of your original question also shows the "hardest" part of that :smile:)
 

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