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Sufficient explicit Runge–Kutta order conditions through order four
Statement
Let be an -stage explicit tableau in the sense of Explicit Runge–Kutta tableaus, stage maps, and failure status, with . For a vector , write . Define , , and .
Let be autonomous and of class on an open convex set . Assume an exact solution and all stages from exact starting values lie in a common compact convex , and that the derivatives of through order four are bounded on . For a component , let , , and denote its coordinate derivative arrays: , , and . These arrays act componentwise on vectors; and mean repeated matrix application, and means . The following coefficient equations are sufficient for the indicated uniform local orders on :
- order at least one: ;
- order at least two: also ;
- order at least three: also and ;
- order at least four: also , , , and .
Here local order means a uniform exact-start defect of norm as in One-step ODE methods, local defect, uniform order, and step stability. The conditions are sufficient coefficient matches; this item asserts no necessity claim.
Facts & Assumptions
Given: An explicit tableau, a autonomous vector field, an exact solution and admitted stages in the stated compact convex tube, and the bounded-derivative hypotheses.
Explicit Runge–Kutta tableaus, stage maps, and failure status: , in the autonomous case, and .
One-step ODE methods, local defect, uniform order, and step stability: the local defect is the method output from an exact starting state minus the exact next state; uniform order is a uniform norm bound .
maps and multi-index derivative notation in Euclidean space, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, and Continuous mixed partials of order are invariant under permutations: continuous ordered coordinate derivatives through order four exist; the first derivative is represented by the Jacobian matrix of coordinate partials; and the second- and third-order coordinate arrays are symmetric.
Multivariable Taylor formula with a Lagrange remainder along a line segment: on a convex domain, a scalar function equals its degree- Taylor polynomial plus a bounded order- remainder along each admitted segment. Apply this coordinatewise to and to .
Chain sum product and composition rules for Banach derivatives and Sums, scalar multiples, products and quotients: , , , and when : composition and products differentiate by the chain and product rules.
The Euclidean inner product on : ; uniform coordinate remainder bounds therefore give a uniform Euclidean-norm remainder bound.
Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation, 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 Euclidean inner product induces a norm, and the standard coordinate lists are finite bases of and , so these spaces are real Banach spaces. This supplies the Banach-space hypotheses when [F5] is applied to and the exact solution.
Proof
Write , , , and at the exact starting state. The hypothesis is in the coordinate sense of [F3]. To justify the Banach chain rules used below, regard each finite array of order- coordinate partials as a map into a finite-dimensional coordinate space. For , its first coordinate partials exist and are continuous by , so the continuous-partials theorem in [F3], applied successively, gives continuous Fréchet derivatives through order four, with entries the corresponding coordinate partials. Thus [F5] applies to and the exact solution. The exact solution is differentiable, hence continuous from the Fréchet remainder in its derivative definition; since and is continuous, is continuous and is . If is for , the iterated chain and product rules in [F5] and continuity of the derivative arrays show is , so makes . Thus is on the admitted interval. A further differentiation expresses using and its derivatives through order four, which are bounded on ; hence the order-four Taylor remainder of is uniform. Differentiating gives , , and ; the factor uses the symmetry in [F3].
Prove the stage expansions simultaneously by induction on . The empty first row gives and , the displayed formulas below with their zero row coefficients. Suppose the formulas hold for . Substituting them into gives . Taylor-expand at through cubic order by [F4]: Substituting the preceding stage-state expansion and collecting powers of gives, uniformly in , . The cross term uses [F3] to exchange the two arguments of . Compactness, bounded derivatives, and finiteness of make every remainder uniform.
Substituting step 2.1 into gives coefficients of the four orders: has coefficient ; has coefficient ; and have coefficients and ; and the four terms , , , and have coefficients , , , and .
Taylor's formula [F4] and the derivatives in step 1.1 give the exact solution coefficients , , for each order-three term, and , , , for the four order-four terms in the same order as step 3.1.
The displayed coefficient equations make the method and exact expansions agree through for each requested . The stage remainder in step 2.1 is and is multiplied by , while the exact Taylor remainder is uniform on the compact tube, so matching through leaves a uniform defect . By [F2] this is uniform local order at least .
Remarks
For a nonautonomous field , adjoin the time equation and apply the same autonomous argument to . Since , the time component of stage is exactly ; thus this extension uses the actual tableau abscissae.
Depends on
- 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 $\mathbb{R}^n$
- Explicit Runge–Kutta tableaus, stage maps, and failure status
- First-order systems, initial value problems, and solutions on intervals
- One-step ODE methods, local defect, uniform order, and step stability
- 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 $0$
- 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 $g(c) \ne 0$
- Chain sum product and composition rules for Banach derivatives
- 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
- If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative
- Multivariable Taylor formula with a Lagrange remainder along a line segment
- Continuous mixed partials of order $k$ are invariant under permutations
Used by
- Differentiated explicit RK stages give local C1 order Lemma
- Orders and scalar stability functions of Euler, midpoint, and classical RK4 Proposition
- SSPRK(3,3) is third order and preserves conditional convex bounds Proposition
- Discrete and continuous ODE gradients agree to order p under augmented error bounds Theorem
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Sources
- Ernst Hairer, course notes, Chapter III: Équations Différentielles Ordinaires, §III.2 (standard reference, not scraped)
- MIT OpenCourseWare, 18.330 Introduction to Numerical Analysis, Chapter 5: Methods for Ordinary Differential Equations (standard reference, not scraped)