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Two-stage Radau IIA has order three and is scalar L-stable
Statement
For the tableau in Two-stage Radau IIA tableau, on a vector field and the local small-step branch specified by Small-step implicit Runge–Kutta stages have a unique branch and controlled residual error, the local defect is , so the method has classical order at least three. Its scalar stability function is and it is L-stable in the scalar sense of Scalar stability function, A-stability, and L-stability for Runge–Kutta methods. No nonlinear contractivity assertion follows.
Facts & Assumptions
Given: The Radau IIA tableau, a vector field on an open neighborhood of an exact solution segment, and a sufficiently small step with an invariant stage ball containing the selected solution.
Two-stage Radau IIA tableau: , , and ; is the row-sum vector and the final row is .
Implicit Runge–Kutta stage equations and update: the stages solve and the update is .
Small-step implicit Runge–Kutta stages have a unique branch and controlled residual error: if is bounded by , is -Lipschitz on an invariant product ball of radius , , and , there is a unique stage fixed point in that ball.
Multivariable Taylor formula with a Lagrange remainder along a line segment gives the Lagrange remainder for each scalar component on a convex segment. The supplier is scalar-valued. For a vector map , apply it separately to each real component ; its intermediate points may differ. If the absolute values of all order- component partial derivatives on the segment are at most , each component remainder is at most , where is a fixed finite constant, since . Hence the Euclidean remainder is at most . In one time variable the max-norm bound is . No common intermediate point for all components is asserted.
The derivatives of the augmented field through order three are bounded on the local compact tube.
Proof
The row sums of equal , is the final row of , and direct arithmetic gives Also , so .
Augment the equation by . Because the rows of sum to , the augmented stage times are exactly . Write for augmented stage derivatives. The invariant-ball bound [F3] gives , and the componentwise norm estimate [F4] yields, uniformly on the local tube, Indeed first gives ; substituting this into the first-order Taylor expansion gives the term, and substituting once more into the second-order Taylor expansion gives the displayed terms, with remainder because and its third derivative is bounded.
On , direct solution of the two-stage linear system gives Stiff accuracy makes the update the second stage, so this is the stated scalar stability function.
Multiplying the expansion of step 1.2 by and summing gives using all four identities in step 1.1. The exact solution has the same expansion: , , and ; applying scalar Taylor separately to each time-coordinate function, with the componentwise norm estimate in [F4] and the bounded fourth derivative obtained from and , gives remainder . Thus the local defect is .
Put , . Expanding real and imaginary parts gives If the denominator vanished, this inequality would force the numerator to vanish; the numerator vanishes only at , where the denominator is . Hence there are no poles for , and the inequality gives there. Since the numerator degree is one and denominator degree is two, as in that half-plane. This is scalar L-stability.
Depends on
- Two-stage Radau IIA tableau
- Scalar stability function, A-stability, and L-stability for Runge–Kutta methods
- Small-step implicit Runge–Kutta stages have a unique branch and controlled residual error
- First-order systems, initial value problems, and solutions on intervals
- Multivariable Taylor formula with a Lagrange remainder along a line segment
- Implicit Runge–Kutta stage equations and update
Used by
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Sources
- Ernst Hairer and Gerhard Wanner, Introduction à l’Analyse Numérique, Chapter III: Équations Différentielles Ordinaires (standard reference, not scraped)
- John C. Butcher, Implicit Runge–Kutta Methods, tutorial accompanying Numerical Methods for Ordinary Differential Equations (standard reference, not scraped)