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Undamped nonlinear RKC2 has fixed-stage order two on an admitted tube
Statement
Fix and . Let be on an open time-state domain, and let the exact IVP solution be defined on . Assume its derivatives through order three and the derivatives of through order two are bounded on a compact convex tube contained in the domain. Assume the stage recursion of Second-order nonlinear stabilized Runge–Kutta–Chebyshev step is admitted from every starting state in for sufficiently small uniform steps and that every stage and output remains in . Assume all line segments used in Taylor expansions stay in , and that on each state slice of , is Lipschitz in its state argument with one common constant . Evaluation failures and domain failures are absent. The global-error claim additionally assumes the exact and numerical trajectories stay in .
Then the nonlinear RKC2 method has a uniform one-step defect bound and one-step stability bound on that tube, for constants independent of the step index and (but allowed to depend on fixed and the tube bounds).
For , start the method at and suppose its numerical stages and states remain in the same tube for all steps. Then the global grid error is at most The statement is fixed-stage and fixed-time. It gives no uniform-in- accuracy, nonlinear stability, positivity, or stiffness-uniform accuracy.
Facts & Assumptions
Given: A fixed stage count , a time-dependent vector field and exact solution on a fixed finite interval, the common compact convex tube and bounded-derivative hypotheses, state-Lipschitz constant , admitted method stages, and exact stage evaluations.
Second-order nonlinear stabilized Runge–Kutta–Chebyshev step: , , , and for , with the stated coefficients.
RKC stability polynomials and certified negative-real intervals: the scalar linear specialization has .
One-step ODE methods, local defect, uniform order, and step stability: local defect is the exact-start method output minus exact next state; order two requires a uniform defect, and one-step stability has the form .
Multivariable Taylor formula with a Lagrange remainder along a line segment and maps and multi-index derivative notation in Euclidean space: a vector field has a first-order Taylor expansion on each admitted segment with a uniformly bounded quadratic remainder; apply the scalar theorem to each component.
Chain sum product and composition rules for Banach derivatives and Sums, scalar multiples, products and quotients: , , , and when : differentiating the ODE along its exact solution gives .
Global error from uniform one-step defect and stability: on a common compact tube, initial error , local defect , and one-step bound imply the stated fixed-time global estimate.
The Euclidean inner product on and Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation: the state norm is Euclidean and obeys the triangle inequality.
The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension and Every finite-dimensional normed space is Banach: the standard coordinate lists are finite bases of and , so these Euclidean spaces are real Banach spaces. This supplies the Banach-space hypotheses when [F5] is applied to the ODE solution and vector field.
All exact states, numerical states, stage inputs, and Taylor segments used below lie in the stated compact convex tube, where the derivative and state-Lipschitz bounds are uniform.
Proof
Apply the recurrence of [F1] to the time component of the augmented field . Its stage abscissae satisfy , , and for , because . At , , , and , so . At (when ), , , , and , so . For every , the previous two values are and . Using and for gives Thus induction gives for , so . The actual nonautonomous stage times are the declared .
For fixed , stage increments are uniformly . The base is , ; for , the coefficient sum rewrites [F1] as . Boundedness of , the fixed finite number of stages, and induction give a uniform bound. Refine the same induction: , and Taylor to first order gives , so the recurrence for its coefficient is , the abscissa recurrence in step 1.1. Thus for every stage.
Write . From step 2.1 and [F4], uniformly at every stage, A second induction in [F1] therefore gives where and . The remainders are uniform because is fixed and the derivatives are bounded on .
For stability, fix two admitted initial states in the same convex state slice and let . The finite recurrence [F1], the triangle inequality, and the state-Lipschitz assumption imply by induction a finite constant with for every and : take , , and for take Writing , the same recurrence after the constant base-state coefficients cancel gives : use , , and All constants are finite because is fixed. Hence . This proves one-step stability with .
For the scalar linear equation at starting value , the coefficient of in the same recurrence is exactly . By [F2], the scalar stability polynomial is , so . Since [F1] and the recurrence defining are independent of the choice of , step 3.1 yields By [F5], whose Banach-space hypotheses hold by [F8], the exact solution has the same expansion through degree two, with a uniform remainder on the tube. The method-minus-exact defect is therefore bounded by .
Apply [F6] with , , , and , using the local-defect and step-stability bounds from steps 4.1 and 3.2. It gives exactly the two global-error cases in the Statement.
Remarks
The imported global theorem is conditional: tube admissibility, local defect, and one-step stability are proved here for fixed . Its use does not establish a uniform error constant as the stage count changes.
Depends on
- Second-order nonlinear stabilized Runge–Kutta–Chebyshev step
- Every finite-dimensional normed space is Banach
- $C^k$ maps and multi-index derivative notation in Euclidean space
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- First-order systems, initial value problems, and solutions on intervals
- One-step ODE methods, local defect, uniform order, and step stability
- The real exponential function and the number $e$ by a power series
- Chebyshev bounds and endpoint derivatives used by stabilized Runge–Kutta methods
- The standard list $e : n \to F^{n}$ with $e_i(i) = 1_F$ and $e_i(j) = 0_F$ for $j \ne i$ is an ordered basis of $F^{n}$; hence $\dim_F F^{n} = n$, and $F^{0}$ is the zero space with basis $\varnothing$ and dimension $0$
- RKC stability polynomials and certified negative-real intervals
- Sums, scalar multiples, products and quotients: $(f+g)'(c) = f'(c) + g'(c)$, $(\alpha f)'(c) = \alpha f'(c)$, $(fg)'(c) = f'(c)g(c) + f(c)g'(c)$, and $(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}$ when $g(c) \ne 0$
- 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
- Chain sum product and composition rules for Banach derivatives
- Global error from uniform one-step defect and stability
- Multivariable Taylor formula with a Lagrange remainder along a line segment
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Sources
- Ibrahim Almuslimani and Gilles Vilmart, Explicit Stabilized Integrators for Stiff Optimal Control Problems, §2.2.2 (standard reference, not scraped)
- B.P. Sommeijer, L.F. Shampine, and J.G. Verwer, RKC: An explicit solver for parabolic PDEs, §2 (standard reference, not scraped)