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TheoremStatement: Literature-sourcedProof: AI-adaptedSession-authored (Fable 5 assisted)precheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-16
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An endomorphism is an orthogonal projection exactly when it is idempotent and self-adjoint

Statement

An endomorphism P of a finite-dimensional inner product space is the orthogonal projection onto some subspace if and only if

P2=PandP=P.

In that case it is the orthogonal projection onto imP, along kerP=(imP). The cases P=0 and P=I are included.

Facts & Assumptions

Given: An endomorphism P of a finite-dimensional inner product space.

[L1]

Orthogonal projection onto W is linear, idempotent, has image W, and has kernel W (Orthogonal projection is linear, and an orthonormal basis (ei) of W gives PWv=iv,eiei).

[L3]

An orthogonal projection selects the subspace component in the orthogonal direct-sum decomposition (The orthogonal projection PWv is the W-component in V=WW).

Proof

technique · direct
1.1

Suppose P=PW. By [L1], P2=P. Decompose both v and w into their W and W components. Orthogonality gives Pv,w=Pv,Pw=v,Pw, so uniqueness in [L2] yields P=P.

L1L2L3
1.2

Conversely, suppose P2=P and P=P. Every v has the algebraic decomposition v=Pv+(IP)v, where PvimP and P(IP)v=0, so (IP)vkerP.

givenalgebra
1.3

If x=PuimP and zkerP, then [L2] and self-adjointness give x,z=Pu,z=u,Pz=0. Thus imPkerP.

L2given
2.1

Steps 1.2 and 1.3 show that P selects the imP component in the orthogonal decomposition V=imPkerP. By [L3], P=PimP, and [L1] identifies its kernel with (imP).

step 1.2step 1.3L1L3

Depends on

Used by

Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 27 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