Eigenvalues of a linear map over a finite field

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Homework Help Overview

The discussion revolves around the properties of a linear map defined by the Frobenius morphism over a finite field of characteristic p. Participants explore the implications of this map in relation to eigenvalues, particularly focusing on the geometric multiplicity of eigenvalues and the constraints imposed by the field's dimensionality.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the application of Fermat's little theorem to prove properties of the Frobenius morphism. Questions arise regarding the eigenvalues of the map, particularly whether 2 can be an eigenvalue when the field has dimension 2 over Z_7. There is also exploration of the implications of dimensionality on the number of eigenvalues.

Discussion Status

Some participants have provided insights into the implications of the dimensionality of the field and the behavior of the Frobenius morphism. There is ongoing exploration of the relationship between the eigenvalues and the structure of the field, with various interpretations being considered. No explicit consensus has been reached, but productive lines of inquiry are being pursued.

Contextual Notes

Participants note the constraints of working within a finite field and the implications of the field's characteristic on the eigenvalues of the linear map. The dimensionality of the vector space is also a significant factor in the discussion.

snipez90
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Homework Statement


Let F be a finite field of characteristic p. As such, it is a finite
dimensional vector space over Z_p.
(a) Prove that the Frobenius morphism T : F -> F, T(a) = a^p is a
linear map over Z_p.
(b) Prove that the geometric multiplicity of 1 as an eigenvalue of T
is 1.
(c) Let F have dimension 2 over Z_7. Prove that 2 is not an eigenvalue
of T.

Homework Equations


Fermat's little theorem (lagrange's theorem applied to multiplicative group)

The Attempt at a Solution


I got a) and b), which are essentially straightforward applications of Fermat's little theorem. For c), I'm trying to show that T has 2 eigenvalues (neither of which is 2 of course) since it's a well-known theorem that a linear map cannot have more than dim(F) eigenvalues. Again 1 is an eigenvalue by Fermat's theorem as before, but I can't find another eigenvalue. Is there a better approach? Thanks in advance.
 
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What's T^7(a)?
 
Hmm, I think I made this way harder than it should be. We already have a^7 = a. If a^7 = 2a, we would have a = 0, which we could have forbidden since 0 is never considered an eigenvector.

But supposing a =/= 0 is an eigenvector with eigenvalue x, calculating T^7(a) gives a(x^7 - 1) = 0 which implies x^7 - 1 = 0, and x cannot be 2. Is this what you were getting at Dick? Thanks.
 
snipez90 said:
Hmm, I think I made this way harder than it should be. We already have a^7 = a. If a^7 = 2a, we would have a = 0, which we could have forbidden since 0 is never considered an eigenvector.

But supposing a =/= 0 is an eigenvector with eigenvalue x, calculating T^7(a) gives a(x^7 - 1) = 0 which implies x^7 - 1 = 0, and x cannot be 2. Is this what you were getting at Dick? Thanks.

Almost, but not quite. a^7 is not necessarily equal to a. And T^7(a) isn't a^7. It's a^49. Since T(a)=a^7. Can you fix that up? You need to use that F has dimension 2. Can you use that to show a^49=a?
 
Last edited:
Bah, I wondered why the hypothesis that F has dim 2 over Z_7 seemed confusing to me. Of course an n-dimensional vector space over Z_p has p^n elements. Here V has 49 elements. V\{0} is multiplicative, so by Lagrange, a^48 = 1, whence a^49 = a, and the original proof carries out correctly when modified. Thanks.
 
snipez90 said:
Bah, I wondered why the hypothesis that F has dim 2 over Z_7 seemed confusing to me. Of course an n-dimensional vector space over Z_p has p^n elements. Here V has 49 elements. V\{0} is multiplicative, so by Lagrange, a^48 = 1, whence a^49 = a, and the original proof carries out correctly when modified. Thanks.

Bingo.
 
Okay my friend pointed out that part b) might not be as simple as I thought it to be. I assumed that F had dimension 1 over Z_p in part b), which implies a^p = a for any a in V = F/Z_p which means that the eigenspace has the same dimension as V.

But if F is n-dimensional, then F has p^n elements. Then you deduce a^(p^n) = a, but how do you go from that to a^p = a?
 
snipez90 said:
Okay my friend pointed out that part b) might not be as simple as I thought it to be. I assumed that F had dimension 1 over Z_p in part b), which implies a^p = a for any a in V = F/Z_p which means that the eigenspace has the same dimension as V.

But if F is n-dimensional, then F has p^n elements. Then you deduce a^(p^n) = a, but how do you go from that to a^p = a?

You don't. You know p roots of a^p-a=0. So it factors completely. How many roots can it have?
 
You were very much right in using Fermat's little theorem. By using it, you should be able to prove that

<br /> \mathbb{F}_p \subseteq \text{ker}(T-I)<br />

and using Dick's suggestion, you can then show equality.
 

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