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M-node Gauss collocation has local defect order 2M
Statement
Assume Countable Choice for the Lebesgue interval-measure formula. Let , fix a time and an exact IVP solution on an interval containing for some , and put . Let be open and let be an IVP vector field on a neighborhood of a common compact convex tube along this exact path, its collocation branch, and connecting segments. Assume each scalar coordinate of has continuous partial derivatives through total order , bounded on the tube; vector smoothness and derivative estimates are componentwise, using scalar Taylor results coordinatewise. Use the -node Gaussian rule for Lebesgue measure on , assume there, and assume the stage branch is uniquely defined in the tube for all sufficiently small . Then the exact-start local defect of the collocation endpoint is as . Its constant depends on the fixed nodes and .
Facts & Assumptions
Given: The Gaussian moment data, its quadrature rule, the matching collocation tableau, and the exact-start IVP and local branch in the Statement.
Positive-measure Gaussian quadrature moment data and The m-node Gaussian quadrature rule for a positive measure: for Lebesgue measure on , the Gauss nodes and weights are defined from the monic orthogonal polynomial and cardinal integrals.
Riemann and Lebesgue integrals agree for continuous data on [0,1]: for continuous integrands on , the Lebesgue and Riemann integrals agree.
A Gaussian collocation defect has a high-order weighted endpoint bound: under the stated smoothness, convex-tube and branch assumptions, the Gauss collocation endpoint defect is bounded by .
Collocation tableau from distinct quadrature nodes and Collocation quadrature data are well defined: the resulting collocation coefficients and endpoint map are finite and defined.
Lebesgue measure on the unit interval supplies Gaussian moment data: for every , Lebesgue measure on satisfies the order- moment-data assumptions used in [F1].
Countable Choice, as required by the Lebesgue moment-data verification in [F5].
The selected stages and exact path remain in the common tube, including every segment used in the weighted-defect proof; the local branch hypotheses are uniform for sufficiently small .
Proof
By [F5] under [A1] the chosen Gaussian rule has admissible Lebesgue moment data. Fact [F1] gives its nodes and cardinal-integral weights, and [F4] makes the matching collocation tableau finite and defined.
The smoothness, common-tube, and branch hypotheses of [F3] are precisely those in the Statement and [A2]. The lemma therefore gives , which is the claimed exact-start local defect estimate. Agreement of the integral conventions is [F2].
Depends on
- Collocation tableau from distinct quadrature nodes
- Positive-measure Gaussian quadrature moment data
- The m-node Gaussian quadrature rule for a positive measure
- Lebesgue measure on the unit interval supplies Gaussian moment data
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Riemann and Lebesgue integrals agree for continuous data on [0,1]
- The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
- Collocation quadrature data are well defined
- A Gaussian collocation defect has a high-order weighted endpoint bound
Used by
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Sources
- Ernst Hairer, Syvert P. Nørsett, and Gerhard Wanner, Solving Ordinary Differential Equations I, 2nd ed., Chapter II §II.7, Theorems 7.9–7.10 (standard reference, not scraped)
- Mathew F. Causley and David C. Seal, On the convergence of spectral deferred correction methods, Communications in Applied Mathematics and Computational Science 14 (2019), §3 (standard reference, not scraped)