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Every endomorphism of a nonzero finite-dimensional vector space over an algebraically closed field has an eigenvalue
Statement
Let be a nonzero finite-dimensional vector space over an algebraically closed field . Every endomorphism has an eigenvalue in .
Facts & Assumptions
Given: A nonzero finite-dimensional -vector space , an algebraically closed field , and .
Every nonconstant polynomial over an algebraically closed field has a root in that field (An algebraically closed field: every nonconstant polynomial has a root in the field).
The characteristic polynomial of an endomorphism is by definition that of any representing matrix (The basis-independent characteristic polynomial of an endomorphism of a finite-dimensional space, including in dimension zero), and for the polynomial is monic of degree ( is monic of degree ; for its coefficient is and its constant coefficient is , while ). So is monic of degree .
The roots in of are exactly the eigenvalues of (For every finite-dimensional space, is exactly the set of roots in of ).
Proof
Since , its finite dimension is positive, so [L2] makes a nonconstant polynomial.
By [L1], has a root , and [L3] makes an eigenvalue of .
Hence every such endomorphism has an eigenvalue; the excluded zero-dimensional case would have characteristic polynomial and no eigenvalue.
Depends on
- An algebraically closed field: every nonconstant polynomial has a root in the field
- $\chi_A(x)$ is monic of degree $n$; for $n\geq1$ its $x^{n-1}$ coefficient is $-\operatorname{tr}(A)$ and its constant coefficient is $(-1)^n\det(A)$, while $\chi_{0\times0}=1$
- For every finite-dimensional space, $\sigma_F(T)$ is exactly the set of roots in $F$ of $\chi_T$
- The basis-independent characteristic polynomial $\chi_T$ of an endomorphism of a finite-dimensional space, including $\chi_T=1$ in dimension zero
Used by
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Sources
- M. Khovanov, Linear Algebra II notes, §6 (standard reference, not scraped)