How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Neumann series and small perturbations of bounded inverses
Statement
Let and be Banach spaces over the same scalar field (Banach space).
- If satisfies (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum), then is invertible with inverse the operator-norm limit of the partial sums , the norm limit being taken in (The spaces (\mathcal B(X,Y)) and (\mathcal B(X)) of bounded linear operators), and
- If is invertible with and satisfies , then is invertible with .
Facts & Assumptions
for every , by induction from (Composition satisfies |ST|\le|S|,|T|, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
For the scalar series converges with sum (For , , and for the series diverges); in particular makes converge to the real number .
If is Banach then is Banach for the operator norm (If (Y) is Banach then (\mathcal B(X,Y)) is Banach, The spaces (\mathcal B(X,Y)) and (\mathcal B(X)) of bounded linear operators, Banach space); a series in a Banach space that converges absolutely converges (Series criterion for Banach spaces).
Addition and scalar multiplication are continuous on a normed space (Vector addition and scalar multiplication are continuous in a normed space), and the reverse triangle inequality makes every norm continuous with respect to norm convergence (The reverse triangle inequality in a normed space, Convergence of a sequence in a metric space: iff in ).
Proof
Given: Banach spaces over one scalar field, with , and the partial sums .
For every one has , and converges to .
The space is Banach, so the absolutely convergent series converges in operator norm to some . For every , the finite triangle inequality and [step 1.1] give Since and the norm is continuous, taking the limit yields .
For every one has , and , so .
From [step 2.1] and [step 2.2], and likewise : the first limit holds because .
Hence is invertible with inverse and , which is claim 1.
For the perturbation, and , so by [step 3.1] applied to the operator is invertible with bounded inverse, and therefore , which is claim 2.
Claims 1 and 2 are exactly the two parts of the statement.
Depends on
Banach space
A bounded linear operator between normed spaces
The operator norm as the least bound and as the unit-sphere or unit-ball supremum
The spaces (\mathcal B(X,Y)) and (\mathcal B(X)) of bounded linear operators
If (Y) is Banach then (\mathcal B(X,Y)) is Banach
Series criterion for Banach spaces
Composition satisfies |ST|\le|S|,|T|
For , , and for the series diverges
Vector addition and scalar multiplication are continuous in a normed space
The reverse triangle inequality in a normed space
Convergence of a sequence in a metric space: iff in