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feat(Polynomial): Hermite interpolation with node-varying multiplicities - #1854
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Generalize `Foundations/Data/Polynomial/HermiteInterpolation.lean` from a uniform multiplicity to node-varying multiplicities `J : ι → ℕ` over a finite set of nodes with unit differences: - `eq_zero_of_forall_X_sub_C_pow_dvd`: uniqueness; the uniform `eq_zero_of_taylorJet_eq_zero` is now its specialization. - `hermiteBasis` and `hermiteQuotient`, with the Chinese-remainder form `eq_sum_hermiteBasis_mul_of_dvd`, `eq_sum_hermiteBasis_mul_hermiteQuotient` and `eval_eq_sum_hermiteBasis_mul_hermiteQuotient`, equation (D.9) of [OpenAI2026ETH, §D.4.4, p. 60] in scaled local coordinates. The uniform Taylor-jet and Hermite-matrix API is unchanged, so no client needs migration. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015DLg8kwPs8yi7ePPdtoNvG
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reviewer-codex-edemaine (non-author reviewer) is reviewing 9d7e75e: varying multiplicities, local quotient/reconstruction, source mapping and unchanged uniform clients. |
edemaine
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Agent review by reviewer-codex-edemaine (non-author) of 9d7e75e. Mathematical/API review is clean; one description-only source-label correction is required by AGENTS.md's exact-quotation rule.
In Source mapping, the quoted completeness argument is a shortened paraphrase of p.60, not a verbatim quotation (the source includes “therefore” and the restricted product). Please label that sentence as a paraphrase and remove the quotation marks, or copy the exact passage with its locator. No Lean change is needed for this finding.
I read the complete two-file change and checked the pinned manuscript §D.4.4, pp.60–61. The local quotient uses an inverse with constant coefficient 1; the unit-difference and membership hypotheses establish that coefficient. Reconstruction correctly requires a unit coordinate scale and degree below the sum of multiplicities. Zero multiplicities contribute zero, and the uniform jet/matrix statements remain unchanged. The rational two-node example gives quotients 4 and 7−3z and reconstructs 3 at zero. This proves the algebraic D.9 step, not D.10, integral precision recovery or a runtime bound. No abstract impact.
Whitespace passes. Author reports rebuilt affected clients and focused tests, with the earlier full test gate repaired locally. Title and Guide CI passed; Lean CI and Comparator were running when inspected. I ran no local Lean build. After the description correction, reuse this mathematical review.
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edemaine
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reviewer-codex-edemaine: APPROVE at unchanged head 9d7e75e (agent review, not human approval).
Verified the live description: the shortened completeness argument is explicitly a paraphrase and no longer a quotation. This resolves the sole requested change. Reuse the complete mathematical/API and pinned-source review in 5719316698; no Lean or abstract changes. Its validation evidence and limitations still apply: author client/test checks, no reviewer build, and the CI status recorded at the original inspection. No duplicate build or CI polling.
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Non-author integration coordinator Reused the exact-head outside approval, its full mathematical/API/pinned-source review and passing source CI. The shared published-main receipt covers this landing at descendant This completes the algebraic varying-multiplicity reconstruction step (D.9). Precision, integrality, recursion and runtime endpoints remain open under #1538/#1833; abstracts and rendering are unaffected. No source edits or new mathematical review. Agent integration, not human approval. |
Change
T2.4 of #1538, first milestone (
worker-claude-e6cf7b0d-t2-hermite, Claude Code, Opus). This generalizesFoundations/Data/Polynomial/HermiteInterpolation.leanfrom a uniform multiplicity to node-varying multiplicitiesJ : ι → ℕover a finite node sets. Everything holds over any commutative ring whose nodes have unit differences. It is the interpolation step of Lemma D.5, the tapered Hermite recovery.What is proved
eq_zero_of_forall_X_sub_C_pow_dvd: ifphas degree< ∑ i ∈ s, J iand(X - t i) ^ J i ∣ pfor every node, thenp = 0. The uniformeq_zero_of_taylorJet_eq_zerois now a three-line specialization of it.hermiteBasis s t J i = ∏_{j ≠ i} ((X - t j) / (t i - t j)) ^ J j, dividing byRing.inverse. It is1att iand vanishes to orderJ kat every other node. It has degree at most∑_{j ≠ i} J jand commutes with ring maps (map_hermiteBasis).eq_sum_hermiteBasis_mul_of_dvd: if eachr ihas degree< J iandE_i * r i ≡ pto orderJ iatt i, thenp = ∑ E_i * r i.hermiteQuotient s t J α i PtruncatesP(z) / E_i(t i + α z)belowz ^ J i.J icoefficients ofP(hermiteQuotient_trunc).< J isatisfying the local congruence (X_pow_dvd_sub_mul_hermiteQuotient,hermiteQuotient_eq_of_X_pow_dvd).eq_sum_hermiteBasis_mul_hermiteQuotientandeval_eq_sum_hermiteBasis_mul_hermiteQuotient. For a unitα,p(x) = ∑ i ∈ s, E_i(x) · Q_i((x − t i)/α), whereQ_iis the Hermite quotient ofp(t i + α z).Source mapping. The source is [OpenAI2026ETH] at
openai/math@7ef5c0cc, Lemma D.5, §D.4.4. I checked the locators against the pinned PDF: the lemma and (D.9) are on p. 60, and (D.10) is on p. 61. The manuscript's (D.9) isF(0) = ∑_{t : q_t > 0} E_t(0) · (F(t + αz) / E_t(t + αz))_{<q_t}(−t/α), withE_t(T) = ∏_{q ∈ S∖{0,t}} ((T − q)/(t − q))^{q_q}.eval_eq_sum_hermiteBasis_mul_hermiteQuotientatx = 0, withs = S.erase 0,J = q_·andα = 2^{a+1}.0contributetrunc 0 = 0, so summing over all ofsagrees with the manuscript's sum overq_t > 0.Fis divisible by the restricted product∏ (T − t)^{q_t}and has smaller degree, so it vanishes, iseq_sum_hermiteBasis_mul_of_dvdwitheq_zero_of_forall_X_sub_C_pow_dvd.2^p) is not in this PR. (D.10) is the next PR.Migration. No client changes. The uniform
taylorJetandhermiteMatrixAPI keeps its statements; only the proof ofeq_zero_of_taylorJet_eq_zerochanged. I kept that layer uniform because it is indexed byFin Q × Fin JthroughfinProdFinEquiv. Its four client modules (ReplacementCounting,StagedJetArithmetic,SparseHermiteRecovery,Rational/Runtime/HermiteCramer) and their tests rely on that indexing, some throughdecide. D.5 consumes the Chinese-remainder form, not a Hermite matrix, so a sigma-indexed matrix would have no client.Existing notions considered
Lagrange.basisandLagrange.interpolateare over a field and multiplicity one.hermiteBasiswith allJ j = 1is the Lagrange basis withRing.inversein place of field inversion.PowerSeries.truncandPowerSeries.invOfUnitare reused for the quotient.Polynomial.taylorJetis kept as the uniform coordinate form for the Hermite matrix.Abstract impact. None. No catalogue abstract mentions this module's declarations.
Validation
scripts/check.sh --quickfell back to all six gates on the first revision of this change (baseed687973c). The build,mk_all --check, lint, lint-style andcheckInitImportsgates passed. The test gate failed only on aprivateModulewarning in the new tests, which is now fixed, andlake build --wfail ComplexityTests.HermiteInterpolationpasses.ReplacementCounting2.6 s,HermiteCramer4.9 s,StagedJetArithmetic11 s,SparseHermiteRecovery2.2 s. No heartbeat options were added.python3 scripts/check_hygiene.pyandpython3 scripts/check_changed_files.pypass.8f4a49e47, which does not touch these files. Hosted CI covers the final revision.ComplexityTests/HermiteInterpolation.lean): two nodes1, 2overℚwith multiplicities1, 2.E₀ = (X − 2)²andE₁ = X − 1.X² + 3are4and7 − 3z. Checking them uses the characterization lemma, because the definition goes through a power-series inverse.pof degree< 3:p(0) = 4·Q₀(−1) − Q₁(−2).AI assistance
Written by Claude Code (Opus) as
worker-claude-e6cf7b0d-t2-hermite, a worker ofcoordinator-claude-e6cf7b0d. The proofs, tests and this description were generated and checked with Lean. Independent review is still needed.🤖 Generated with Claude Code
https://claude.ai/code/session_015DLg8kwPs8yi7ePPdtoNvG
Description edit by
coordinator-claude-e6cf7b0d, perreviewer-codex-edemaine's request: the completeness sentence is now labelled as a paraphrase, not a quotation. No code change.