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TheoremStatement: Literature-sourcedProof: AI-adaptedSession-authored (Fable 5 assisted)precheck passaudited 2026-08-16
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Over every extension field, a scalar is an eigenvalue of the extended matrix exactly when it is a root of the minimal polynomial

Statement

Let AMn(F), let K/F be a field extension, and let λK. Then λ is an eigenvalue of the matrix A acting on Kn if and only if

μA(λ)=0,

where μAF[x] is the minimal polynomial over F. For n=0, both sets are empty.

Facts & Assumptions

Given: A field extension K/F, a matrix AMn(F), and λK.

[L1]

Extending the scalar field does not change the minimal polynomial of A (For a matrix over a field, extending the scalar field does not change its minimal polynomial).

[L2]

The minimal polynomial divides the characteristic polynomial (The minimal polynomial divides the characteristic polynomial, μTχT).

[L3]

Over any field, a scalar is an eigenvalue exactly when it is a root of the characteristic polynomial (For every finite-dimensional space, σF(T) is exactly the set of roots in F of χT).

[L4]

Polynomial evaluation is p(A)=akAk (Polynomial evaluation at an endomorphism: p(T)=kakTk).

Proof

technique · direct
1.1

Suppose Av=λv for some nonzero vKn. Induction gives Akv=λkv, so [L4] gives p(A)v=p(λ)v for every pK[x]. Taking p=μA and using [L1] yields 0=μA(A)v=μA(λ)v, hence μA(λ)=0.

L1L4algebra
1.2

Conversely, if μA(λ)=0, then [L2] gives χA(λ)=0. The determinant formula for xIA is unchanged after embedding F in K, so [L3] applied over K says λ is an eigenvalue of A on Kn.

L2L3
2.1

When n=0, μA=1 by [L1], so it has no roots, while the zero space has no nonzero eigenvector.

L1

Depends on

Used by

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