How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
MPRK22(1) has a uniform second-order defect and one-step bound on positive tubes
Statement
Let be the vector field of a finite conservative PDS Finite conservative production destruction systems on a bounded open convex set with . Assume there is an open set with on which the transfer rates are multivariable , with derivatives through order two bounded there. Let be The positive-interior MPRK22(1) step. For sufficiently small , there are constants such that:
- for every exact solution segment in a compact subset of , the exact-start defect satisfies ; and
- for all , .
The local order-two estimate requires the positive lower bound on the stage denominators and the stated smoothness. Positivity and conservation for every are separate preservation properties and are not used to claim the local error order.
Facts & Assumptions
Given: A finite conservative PDS, the stated multivariable rate data on , an exact solution segment in the tube, and a sufficiently small step size.
Modified Patankar Euler for conservative transfer systems: with , the first stage is , where .
The positive-interior MPRK22(1) step: the final matrix has off-diagonal coefficients , zero column sums before subtracting from , and update .
Strict column dominance gives an entrywise nonnegative inverse: each stage/final matrix with positive declared denominators is invertible with nonnegative inverse, and its inverse maps a strictly positive right-hand side to a strictly positive solution.
First-order systems, initial value problems, and solutions on intervals: an exact trajectory satisfies .
maps and multi-index derivative notation in Euclidean space and If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative: continuous coordinate partials give total derivatives; applying the theorem to first partials also supplies the second total derivatives needed here.
The chain rule for total derivatives: and Chain sum product and composition rules for Banach derivatives: compositions and bounded-bilinear products obey their total-derivative rules, including when applied to derivatives.
Multivariable Taylor formula with a Lagrange remainder along a line segment and The Lagrange and Cauchy forms of Taylor's remainder: the rate vector and exact solution have the Taylor expansions with uniform remainders on the compact tube.
One-step ODE methods, local defect, uniform order, and step stability: exact-start defect and one-step stability have the conventions used in this statement.
The matrix norm induced by a published vector p-norm at and Induced matrix norms are compatible with matrix-vector multiplication, submultiplicative, and satisfy ||I|| = 1: the induced Euclidean operator norm is a matrix norm and .
On a convex open set, a uniform bound implies : a uniform derivative bound on a convex open set implies the corresponding Lipschitz bound.
Proof
Define as in [F2]. On , the coordinate reciprocals have continuous partials and , as follows from the scalar reciprocal difference quotients on ; the product rule [F7] then makes every entry of from the rate data [F6]. By the continuous-partials theorem [F6], these entries have continuous total derivatives through order two. Direct multiplication gives . The matrix is invertible for by [F4] and equals at ; its determinant and cofactors are finite sums of products, and its determinant is nonzero, so the adjugate formula and the scalar reciprocal calculation make its inverse on the compact set of admitted . It is uniformly bounded there for small . Since , [F4] gives . The identity now gives uniformly; in particular , so after decreasing we have uniformly for . Thus all stage denominators and the final rate evaluations are valid.
Write for the final coefficient matrix in [F3]. Its entries are on the compact region of pairs produced inside by step 1.1: the rates are , the stage map is , and each reciprocal has the same coordinate derivative formulas as in step 1.1. Its columns sum to zero, and direct multiplication using gives . For small , step 1.1 keeps every bounded away from zero, so and its first derivatives are uniformly bounded. Also ; the mean-value theorem on the compact tube and give . The final matrix is invertible by [F4] and its inverse is uniformly bounded by the adjugate formula. Expanding its inverse yields . Comparing with step 1.1 gives .
The stage and final maps are in near the compact positive tube: their rates are , their denominators stay bounded away from zero, and their matrix inverses are by the adjugate formula and the reciprocal calculation in steps 1.1–2.1. For any direction , differentiating gives ; boundedness from step 1.1 therefore gives uniformly for .
Using , substitute and use step 2.1 to obtain . Taylor expansion of at , together with from step 1.1, gives . Thus . By [F5]–[F7], the exact solution has the same expansion: and its third derivative is bounded, so the one-variable Taylor remainder applied coordinatewise is . Their difference is the asserted uniform exact-start defect in [F9].
Differentiating in direction gives , with the inverse defined by step 2.1.
Steps 1.1–2.2 give , , , and uniformly. Substitution yields . Differentiating with the chain and product rules identifies the coefficient as ; compactness makes the remainder uniform, so with .
Compactness bounds uniformly, and step 4.1 makes the contribution at most for sufficiently small . The norm properties in [F10] then give after decreasing and increasing . Applying [F11] on convex proves .
Depends on
- The positive-interior MPRK22(1) step
- Modified Patankar Euler for conservative transfer systems
- Finite conservative production destruction systems
- Strict column dominance gives an entrywise nonnegative inverse
- First-order systems, initial value problems, and solutions on intervals
- One-step ODE methods, local defect, uniform order, and step stability
- $C^k$ 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
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- Chain sum product and composition rules for Banach derivatives
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- The matrix norm induced by a published vector p-norm
- Induced matrix norms are compatible with matrix-vector multiplication, submultiplicative, and satisfy ||I|| = 1
- On a convex open set, a uniform bound $\|Df(z)v\|_2\le M\|v\|_2$ implies $\|f(y)-f(x)\|_2\le M\|y-x\|_2$
- Multivariable Taylor formula with a Lagrange remainder along a line segment
- The Lagrange and Cauchy forms of Taylor's remainder
Used by
Dependency tree · two levels
61 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Stefan Kopecz and Andreas Meister, On order conditions for modified Patankar-Runge-Kutta schemes, §3.2 (standard reference, not scraped)
- Ernst Hairer, course notes, Chapter III: Équations Différentielles Ordinaires (standard reference, not scraped)