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Every idempotent endomorphism is diagonalisable and is projection onto its image along its kernel
Statement
If an endomorphism of a finite-dimensional vector space satisfies , then it is diagonalisable and
Under this decomposition, is projection onto along .
Facts & Assumptions
Given: An idempotent endomorphism , so .
For an endomorphism of a finite-dimensional space, a polynomial annihilates exactly when it is divisible by (The annihilator ideal is nonzero and has a unique monic generator; if and only if ).
For an endomorphism of a finite-dimensional space, having a product of distinct linear factors as minimal polynomial is equivalent to diagonalisability (An endomorphism is diagonalisable if and only if its minimal polynomial is a product of distinct linear factors).
For two subspaces, a direct sum is a spanning sum with zero intersection (Internal direct sum : the sum is everything and each summand meets the sum of the others only in ).
The polynomial ring over a field is a unique factorisation domain (For every field , is a unique factorisation domain).
Proof
The identity says annihilates , so [L1] gives . By unique factorisation [L4], this monic divisor is a product of a subset of the two distinct irreducibles and ; [L2] therefore makes diagonalisable.
Every has , where and . Hence the image and kernel span .
If , write and compute . Thus [L3] and step 1.2 give the direct sum, and is identity on its image and zero on its kernel. The cases and are included.
Depends on
- The annihilator ideal is nonzero and has a unique monic generator; $p(T)=0$ if and only if $\mu_T\mid p$
- An endomorphism is diagonalisable if and only if its minimal polynomial is a product of distinct linear factors
- Internal direct sum $V = \bigoplus_{i<n} U_i$: the sum is everything and each summand meets the sum of the others only in $0_V$
- 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: 85 results over 17 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
- Keith Conrad, The Minimal Polynomial and Some Applications, Corollary 4.14 (standard reference, not scraped)