Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-22
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 X and Y be Banach spaces over the same scalar field (Banach space).

  1. If R∈B(X) satisfies ∥R∥<1 (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum), then I−R is invertible with inverse the operator-norm limit of the partial sums ∑n<NRn, the norm limit being taken in B(X) (The spaces B(X,Y) and B(X) of bounded linear operators), and ∥∑n=0∞Rn∥≤11−∥R∥.
  2. If A∈B(X,Y) is invertible with A−1∈B(Y,X) and E∈B(X,Y) satisfies ∥A−1E∥<1, then A+E is invertible with (A+E)−1=(I+A−1E)−1A−1∈B(Y,X).

Facts & Assumptions

[A1]

∥Rn∥≤∥R∥n for every n, by induction from ∥ST∥≤∥S∥ ∥T∥ (Composition satisfies ∥ST∥≤∥S∥ ∥T∥, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[A2]

For ∣r∣<1 the scalar series ∑rk converges with sum 1/(1−r) (For ∣r∣<1, ∑k≥0rk=1/(1−r), and for ∣r∣≥1 the series diverges); in particular ∥R∥<1 makes ∑n∥R∥n converge to the real number 1/(1−∥R∥).

[A3]

If Y is Banach then B(X,Y) is Banach for the operator norm (If Y is Banach then B(X,Y) is Banach, The spaces B(X,Y) and B(X) of bounded linear operators, Banach space); a series in a Banach space that converges absolutely converges (Series criterion for Banach spaces).

[A4]

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: xk→x iff d(xk,x)→0 in R).

Proof

technique · direct

Given: Banach spaces X,Y over one scalar field, R∈B(X) with ∥R∥<1, and the partial sums SN:=∑n<NRn.

1.1A1A2

For every n one has ∥Rn∥≤∥R∥n, and ∑n∥R∥n converges to 1/(1−∥R∥).

2.1step 1.1A2A3A4

The space B(X) is Banach, so the absolutely convergent series ∑nRn converges in operator norm to some S∈B(X). For every N, the finite triangle inequality and [step 1.1] give ∥SN∥≤∑n<N∥Rn∥≤∑n=0∞∥R∥n=11−∥R∥. Since SN→S and the norm is continuous, taking the limit yields ∥S∥≤1/(1−∥R∥).

2.2step 1.1A1algebra

For every N one has (I−R)SN=SN(I−R)=I−RN, and ∥RN∥≤∥R∥N→0, so RN→0.

3.1step 2.1step 2.2A1A4

From [step 2.1] and [step 2.2], (I−R)S=lim⁡N(I−R)SN=lim⁡N(I−RN)=I and likewise S(I−R)=I: the first limit holds because ∥(I−R)(S−SN)∥≤(1+∥R∥)∥S−SN∥→0.

4.1step 2.1step 3.1

Hence I−R is invertible with inverse S=∑n≥0Rn and ∥(I−R)−1∥≤1/(1−∥R∥), which is claim 1.

4.2step 3.1algebra

For the perturbation, A+E=A(I+A−1E) and ∥−A−1E∥=∥A−1E∥<1, so by [step 3.1] applied to R:=−A−1E∈B(X) the operator I+A−1E is invertible with bounded inverse, and therefore (A+E)−1=(I+A−1E)−1A−1∈B(Y,X), which is claim 2.

5.1step 4.1step 4.2∎

Claims 1 and 2 are exactly the two parts of the statement.

Depends on

Used by

Dependency tree · two levels

45 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources