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CorollaryStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27
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  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
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The a priori bound d(x∗,xn)≤qnd(x1,x0)/(1−q) and the a posteriori bound d(x∗,xn+1)≤q d(xn+1,xn)/(1−q)

Statement

Let (X,d) be a nonempty complete metric space, let f:X→X be a contraction with constant q, 0≤q<1 (Lipschitz map, α-Hölder map for rational 0<α≤1, and contraction), let x0∈X, let xn+1:=f(xn) be the iterates, and let x∗ be the unique fixed point of f, so that x∗=lim⁡nxn (A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point, A sequence in a metric space has at most one limit). Then for every n∈N:

  1. A priori bound. d(x∗,xn)  ≤  q n d(x1,x0)1−q.
  2. A posteriori bound. d(x∗,xn+1)  ≤  q d(xn+1,xn)1−q.

The first bound is computable before the iteration is run, from the first step alone; the second uses the step just taken and is therefore sharper in practice.

Facts & Assumptions

Given: A nonempty complete metric space (X,d), a contraction f:X→X with constant q satisfying 0≤q<1, a starting point x0∈X, its iterates xn+1=f(xn), and the unique fixed point x∗ of f; write C:=d(x1,x0)/(1−q).

[A1]

Banach's theorem: f has exactly one fixed point x∗, the iterates from any starting point converge to it, and d(xm,xn)≤q nd(x1,x0)/(1−q) for all m≥n (A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point).

[L1]

Reverse triangle inequality: ∣d(u,w)−d(v,w)∣≤d(u,v) in any metric space (The reverse triangle inequality ∣d(x,z)−d(y,z)∣≤d(x,y) in any metric space).

[L2]

Convergence in (X,d) means d(xm,x∗)→0 in R; limits in a metric space are unique, which licenses the notation lim⁡nxn for a sequence already known to converge (Convergence of a sequence in a metric space: xk→x iff d(xk,x)→0 in R, A sequence in a metric space has at most one limit, Limits and Cauchy sequences of reals).

[L3]

Limits of reals preserve non-strict inequalities holding eventually, a constant sequence converges to that constant, and the limit of a real sequence is unique (Limits preserve non-strict inequalities, A sequence has at most one limit).

[L4]

Recursion determines a sequence from its starting point and the map (The recursion theorem), and induction on N (The principle of mathematical induction).

Proof

technique · direct
1.1

Fix n∈N. By [A1] the iterates converge to x∗, so d(xm,x∗)→0 as m grows.

A1L2
1.2

Fix n and consider the iterates of f started at y0:=xn. By uniqueness in the recursion theorem, yj=xn+j for every j, since both sides start at xn and both satisfy the recursion uj+1=f(uj); in particular y1=xn+1.

L4
2.1

By [L1], ∣d(xm,xn)−d(x∗,xn)∣≤d(xm,x∗) for every m, so the real sequence (d(xm,xn))m converges, and lim⁡md(xm,xn)=d(x∗,xn).

step 1.1L1L3
3.1

By [A1], d(xm,xn)≤q nC for every m≥n, that is eventually in m; the constant sequence with value q nC converges to q nC, so passing to the limit gives d(x∗,xn)≤q nC, which is claim 1.

step 2.1A1L3L5
4.1

The fixed point of f does not depend on the starting point, by uniqueness in [A1], so claim 1 applied to the sequence (yj) at index 1 reads d(x∗,y1)≤q 1d(y1,y0)/(1−q).

step 3.1step 1.2A1L5
5.1

Substituting y1=xn+1 and y0=xn gives d(x∗,xn+1)≤q d(xn+1,xn)/(1−q), which is claim 2; claim 1 is step 3.1.

step 3.1step 1.2step 4.1∎

Remarks

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