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Some vector has vector annihilator equal to the minimal polynomial
Statement
For every endomorphism of a finite-dimensional vector space , there is such that . If , take and both polynomials are .
Facts & Assumptions
Given: A finite-dimensional endomorphism .
If is its factorisation into distinct monic irreducible powers, then with , and has minimal polynomial exactly (Primary decomposition: the irreducible-power factors of split into their invariant kernels).
The vector annihilator is a monic divisor of the operator's minimal polynomial and detects exactly the polynomials that annihilate the vector (The vector annihilator is the unique monic generator of and divides the minimal polynomial).
The ring is a unique factorisation domain (For every field , is a unique factorisation domain).
Proof
For each nonempty primary summand in [L1], choose with ; such a vector exists because otherwise would annihilate , contrary to its exact minimal polynomial.
By [L2], divides ; [L3] makes it a power of , and step 1.1 rules out every exponent below . Hence .
Put . Directness in [L1] gives exactly when for every , which by step 2.1 is exactly when every divides ; pairwise coprimality and [L3] make this equivalent to . Thus [L2] gives .
If , [L1] is the empty direct sum and the published minimal-polynomial convention gives ; taking gives by [L2].
Depends on
- The vector annihilator is the unique monic generator of $\operatorname{Ann}_T(v)$ and divides the minimal polynomial
- Primary decomposition: the irreducible-power factors of $\mu_T$ split $V$ into their invariant kernels
- The annihilator ideal is nonzero and has a unique monic generator; $p(T)=0$ if and only if $\mu_T\mid p$
- Cyclic subspaces, cyclic vectors, and vector annihilators
- For every field $F$, $F[x]$ is a unique factorisation domain
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 48 results over 10 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- K. Hoffman and R. Kunze, Linear Algebra, 2nd ed., Section 7.1 (standard reference, not scraped)