Diagonalizability of Invertible Matrices in Z_p

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Homework Help Overview

The discussion revolves around the diagonalizability of an invertible matrix A with entries in Z_p, specifically exploring the relationship between A's order and the condition that it divides p-1.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the implications of A being diagonalizable and its order not dividing p-1, with attempts to derive contradictions. They also explore the relationship between the minimal polynomial and the characteristic polynomial in the context of diagonalizability.

Discussion Status

Several participants are actively engaging with the problem, raising questions about the implications of the minimal polynomial and characteristic polynomial. There is an ongoing exploration of theorems related to diagonalization and the properties of matrices over finite fields.

Contextual Notes

Participants note uncertainty regarding the implications of certain properties and theorems, particularly in relation to linear algebra over finite fields. There is acknowledgment of varying levels of familiarity with the subject matter among participants.

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"Let A be an invertible matrix with entries in Z_p. Show that A is diagonalizable if and only if its order (the least t such that A^t=1 in GL_n(Z_p)) divides p-1."

I got the => direction, but I'm having trouble with the backwards direction. Any hints?
 
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EDIT: I originally made three posts, but I'll put them all in one:

----------------------------------------------------------------

POST 1:

Suppose A is diagonalizable but it's order does not divide p-1. Let D = (dij) be the corresponding diagonal matrix. Then use:
- Fermat's Little Theorem
- the fact that D is diagonal
- the fact that A and D are similar
- then use the division algorithm together with assumption that the order of A does not divide p-1 to derive a contradiction which essentially says "if t is the order of A, i.e. if t is the least positive natural such that At = 1, then there exists a t' such that 0 < t' < t but such that At' = 1"

EDIT TO POST 1: Oops, I guess that's the direction you already proved. I'll have to think some more.

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POST 2:

Just throwing out some ideas:

1) the characteristic polynomial of a diagonal matrix splits (it's irreducible factors are all linear)
2) matrices with degree dividing p-1 form a normal subgroup of GLn(Zp) - maybe the orbit-stabilizer theorem or the class equation can be used here (you want to show that every matrix whose order divides p-1 contains a diagonal matrix in its conjugacy class).

----------------------------------------------------------------

POST 3:

I'm rusty on the linear algebra, but how about this:

The order of A divides p-1
implies
The minimal polynomial of A is xt - 1, where t is the order of A
implies
The minimal polynomial of A splits (since xt - 1 = 0 has solutions in Zp iff t | p-1)
implies
The char poly of A splits
implies
A is diagonalizable (I think there's a theorem showing that the char poly splits iff A is diagonalizable).

EDIT TO POST 3: Actually, it wouldn't surprise me if the "implies"s can be changed to "iff"s, but at the same time, it wouldn't surprise me if some of the "implies"s were wrong altogether. It's been well over a year since I did any linear algebra, especially anything to do with diagonalization. And I've never really done any linear algebra over finite fields. So check your theorems in your book, and see if the above proof a) is correct, and b) can be strengthened so the "implies"s can become "iff"s, which would then prove both directions of the theorem simultaneously, and then get back to me about it.
 
Last edited:
The order of A divides p-1 does not necessarily imply that the minimal polynoial of A is x^t -1, but it does imply that the minimal polynomial of A DIVIDES x^t -1. I'm not sure if your implications still follow; thinking.
 
We know the minimal poly divides x^{p-1}-1

This now tells us everything about the minimal poly we know. Think what the multiplicities of the eigenvalues can be (think Fermat's Little Theorem). Think back to the other question you posted too about multiplicity one eigenvalues.
 

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