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The Moore--Penrose pseudoinverse is continuous on each fixed-rank stratum and is not continuous across rank loss
Statement
Let .
- For fixed and , on the set of matrices over of a fixed rank , the map is continuous.
- On a full matrix space the pseudoinverse need not be continuous at a rank-deficient matrix. Already for the path with , as .
Facts & Assumptions
Given: Real or complex matrices, with the fixed-rank and rank-loss cases as in the statement.
Every finite real or complex matrix has a unique Moore--Penrose pseudoinverse (Every finite real or complex matrix has a unique Moore--Penrose pseudoinverse).
Every matrix admits a singular value decomposition (Every linear map between finite-dimensional real or complex inner product spaces admits a singular value decomposition).
Rank equals the number of nonzero singular values (The rank of a linear map is the number of its nonzero singular values).
Closed bounded subsets of a finite-dimensional Euclidean space are compact (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line).
Proof
Let with every and of rank . By [L2], choose SVDs and . Each unitary group is a closed bounded subset of its finite-dimensional matrix space, hence compact by [L4]. Therefore every subsequence of has a convergent subsequence; along such a subsequence the limit still gives a singular value decomposition of .
For with , [L1] gives . Thus as .
By [L3], exactly the first diagonal entries of every and of are positive. Define the transposed-shape matrices and by reciprocating precisely those entries and setting all remaining entries to zero. Direct diagonal multiplication verifies the four Penrose equations, so uniqueness in [L1] gives and . Along the convergent subsequence from step 1.1 the positive singular values converge to those of , hence their reciprocals converge. Therefore
The matrices converge to as , but their pseudoinverses do not stay bounded, hence cannot converge to the finite matrix . Therefore pseudoinversion is not continuous across rank loss.
Let be any subsequence. Applying the compactness argument of step 1.1 to its SVD factors produces a further subsequence to which step 2.1 applies, so that further subsequence converges to . If did not converge to , some and a subsequence would satisfy for every , contradicting the further subsequence just obtained. Thus , proving continuity on the rank- stratum.
Steps 3.1 and 2.2 prove the two claims.
Depends on
- The rank of a linear map is the number of its nonzero singular values
- Every finite real or complex matrix has a unique Moore--Penrose pseudoinverse
- Every linear map between finite-dimensional real or complex inner product spaces admits a singular value decomposition
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
Used by
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Sources
- Roger Penrose, A generalized inverse for matrices (standard reference, not scraped)
- Stanford CS205L, Unit 11: Zero Singular Values (standard reference, not scraped)