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TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-08-31
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AA+ and A+A are the orthogonal projections onto imA and imA

Statement

Let A be a finite real or complex matrix. Then AA+ is the orthogonal projection onto imA, and A+A is the orthogonal projection onto imA.

Facts & Assumptions

Given: A matrix A over R or C.

[L1]

Every finite real or complex matrix has a unique Moore--Penrose pseudoinverse (Every finite real or complex matrix has a unique Moore--Penrose pseudoinverse).

[L2]

The rank equals the number of nonzero singular values (The rank of a linear map is the number of its nonzero singular values).

[L3]

A self-adjoint idempotent is exactly an orthogonal projection onto its image (An endomorphism is an orthogonal projection exactly when it is idempotent and self-adjoint).

Proof

technique · direct
1.1

By [L4], write A=UΣV. Define B:=VΣ+U by reciprocating the positive singular values and leaving the zero block fixed. Direct diagonal multiplication verifies the four Penrose equations, so uniqueness in [L1] gives B=A+. Hence AA+=U(ΣΣ+)U,A+A=V(Σ+Σ)V.

L1L4algebra
2.1

The products ΣΣ+Mm(F) and Σ+ΣMn(F) are the respective rank-r diagonal projections, each with 1 in its nonzero singular directions and 0 elsewhere, where r is the number of nonzero singular values from [L2]. Hence AA+ and A+A are self-adjoint idempotents.

L2step 1.1algebra
3.1

By [L3], AA+ and A+A are orthogonal projections onto their image spaces. In the singular basis, im(AA+) is the span of the left singular vectors corresponding to the nonzero singular values, which is exactly imA.

L3step 1.1step 2.1algebra
4.1

The same computation shows that im(A+A) is the span of the right singular vectors corresponding to the nonzero singular values, which is exactly imA.

step 3.1algebra
5.1

Therefore AA+ and A+A are the orthogonal projections onto imA and imA respectively.

step 3.1step 4.1

Depends on

Used by

Dependency tree · two levels

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Sources