ABSTRACT

Up to our discussion of eigenvalues and eigenvectors in section 9 the base-field of a vector space did not play any role whatsoever. Only the basic field axioms entered into the discussion, but no special properties of the field. However, when we want to find the eigenvalues of an endomorphism A: V → V of a finite-dimensional K-vector space V, we have to find the roots of the characteristic polynomial p(λ) = det(A − λ1) ∈ K[λ], and the number of roots of a polynomial depends on the base-field. For example, the polynomial λ2 − λ − 1 has no root in ℚ, but has two roots in ℚ + ℚ 5 https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781315136547/a57ae1f0-6f59-46bd-bbdd-35a521b486a1/content/eq1207.tif"/> ; similarly, the polynomial λ3 + λ only has the root 0 in ℝ but has three roots in ℂ. It was pointed out already (and will be proved in the field theory chapter in Volume II of this book) that every field K can be extended to a field K ¯ https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781315136547/a57ae1f0-6f59-46bd-bbdd-35a521b486a1/content/eq1208.tif"/> such that every polynomial f ∈ K [λ] of degree n has n roots in K ¯ https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781315136547/a57ae1f0-6f59-46bd-bbdd-35a521b486a1/content/eq1209.tif"/> . Thus for a given endomorphism A: V → V we can always find n:= dim V roots of the characteristic polynomial of A. But can we still meaningfully interpret these roots as “eigenvalues” of A if they do not lie in the original base-field K? To do so, it is necessary to find along with the field extension K ⊂ K ¯ https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781315136547/a57ae1f0-6f59-46bd-bbdd-35a521b486a1/content/eq1210.tif"/> an extension of V to a vector space V ¯ https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781315136547/a57ae1f0-6f59-46bd-bbdd-35a521b486a1/content/eq1211.tif"/> over K ¯ https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781315136547/a57ae1f0-6f59-46bd-bbdd-35a521b486a1/content/eq1212.tif"/> in which the corresponding eigenvectors can be found.