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.
Picard iterates of a firmly nonexpansive map converge in finite dimensions
Statement
Let be firmly nonexpansive on , suppose is nonempty, and start at any . Then the Picard sequence converges to a fixed point of .
Facts & Assumptions
Given: The map , a fixed point , and .
The map is firmly nonexpansive, its fixed-point set is nonempty, and the start is in .
Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation: the Euclidean norm is a norm and satisfies Cauchy–Schwarz.
For every bounded sequence in has a convergent subsequence: for , every bounded sequence in has a convergent subsequence.
The Euclidean inner product on : consists of the single zero vector.
Proof
If , [F3] gives and the nonempty fixed-point set forces ; since , every iterate equals the fixed point. It remains to consider . Firm nonexpansiveness applied to and a fixed point gives . Expanding and rearranging yields Summing this inequality shows that the distances to are nonincreasing, the sequence is bounded, and , so the increments tend to zero.
By [F2], some subsequence converges to . Firm nonexpansiveness and [F1] imply is 1-Lipschitz, hence continuous. Since , continuity gives .
Apply the inequality of step 1.1 with the fixed point in place of . The distances are nonincreasing, and along the subsequence they tend to zero. A nonincreasing nonnegative sequence with a subsequence tending to zero tends to zero; thus .
Depends on
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- For $n \ge 1$ every bounded sequence in $\mathbb{R}^n$ has a convergent subsequence
- Cauchy-Schwarz $\lvert\langle x,y\rangle\rvert \le \lVert x\rVert_2\lVert y\rVert_2$ with its equality case, the triangle inequality for $\lVert\cdot\rVert_2$, the parallelogram law and polarisation
Used by
Dependency tree · two levels
40 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.