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MPRK22(1) has a uniform second-order defect and one-step bound on positive tubes

Statement

Let F be the vector field of a finite conservative PDS Finite conservative production destruction systems on a bounded open convex set U⊂Ω∩R>0m with U‾⊂R>0m. Assume there is an open set V with U‾⊂V⊂Ω∩R>0m on which the transfer rates are multivariable C2, with derivatives through order two bounded there. Let Ψh(y) be The positive-interior MPRK22(1) step. For sufficiently small h>0, there are constants C,L,h0>0 such that:

  1. for every exact solution segment in a compact subset of U, the exact-start defect satisfies ∥Ψh(y(t))−y(t+h)∥2≤Ch3; and
  2. for all u,v∈U, ∥Ψh(u)−Ψh(v)∥2≤(1+Lh)∥u−v∥2.

The local order-two estimate requires the positive lower bound on the stage denominators and the stated smoothness. Positivity and conservation for every h>0 are separate preservation properties and are not used to claim the local error order.

Facts & Assumptions

Given: A finite conservative PDS, the stated multivariable C2 rate data on V⊂Ω∩R>0m, an exact solution segment in the tube, and a sufficiently small step size.

[F1]

Finite conservative production destruction systems: Fi=∑j(pij−dij), pij=dji≥0, and pii=dii=0.

[F2]

Modified Patankar Euler for conservative transfer systems: with σi=yi, the first stage is z=(I−hA(y))−1y, where A(y)y=F(y).

[F3]

The positive-interior MPRK22(1) step: the final matrix has off-diagonal coefficients (pij(y)+pij(z))/(2zj), zero column sums before subtracting from I, and update Ψh(y)=(I−hB(y,z))−1y.

[F4]

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.

[F5]

First-order systems, initial value problems, and solutions on intervals: an exact trajectory satisfies y′=F(y).

[F6]

Ck 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.

[F7]

The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a) 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.

[F8]

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.

[F9]

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.

Proof

1.1givenF1F2F4F6F7algebra

Define A(y) as in [F2]. On U, the coordinate reciprocals yj−1 have continuous partials ∂k(yj−1)=−δjkyj−2 and ∂ℓ∂k(yj−1)=2δjkδℓjyj−3, as follows from the scalar reciprocal difference quotients on R∖{0}; the product rule [F7] then makes every entry of A C2 from the rate data [F6]. By the continuous-partials theorem [F6], these entries have continuous total derivatives through order two. Direct multiplication gives A(y)y=F(y). The matrix I−hA(y) is invertible for h>0 by [F4] and equals I at h=0; its determinant and cofactors are C2 finite sums of products, and its determinant is nonzero, so the adjugate formula and the scalar reciprocal calculation make its inverse C2 on the compact set of admitted (h,y). It is uniformly bounded there for small h. Since y>0, [F4] gives z=(I−hA(y))−1y>0. The identity (I−hA)−1=I+hA+h2A2(I−hA)−1 now gives z=y+hF(y)+O(h2) uniformly; in particular z−y=O(h), so after decreasing h0 we have z∈V⊂Ω uniformly for y∈U. Thus all stage denominators and the final rate evaluations are valid.

2.1F1F2F3F4F6F7step 1.1algebra

Write B=B(y,z) for the final coefficient matrix in [F3]. Its entries are C2 on the compact region of pairs produced inside V by step 1.1: the rates are C2, the stage map is C2, and each reciprocal zj−1 has the same coordinate derivative formulas as in step 1.1. Its columns sum to zero, and direct multiplication using pij=dji gives B(y,z)z=12(F(y)+F(z)). For small h, step 1.1 keeps every zj bounded away from zero, so B and its first derivatives are uniformly bounded. Also B(y,y)=A(y); the mean-value theorem on the compact tube and z−y=O(h) give B(y,z)=A(y)+O(h). The final matrix I−hB is invertible by [F4] and its inverse is uniformly bounded by the adjugate formula. Expanding its inverse yields Ψh(y)=y+hB(y,z)y+O(h2)=y+hF(y)+O(h2). Comparing with step 1.1 gives Ψh(y)−z=O(h2).

2.2givenF1F2F3F4F6F7step 1.1algebra

The stage and final maps are C1 in y near the compact positive tube: their rates are C2, their denominators stay bounded away from zero, and their matrix inverses are C2 by the adjugate formula and the reciprocal calculation in steps 1.1–2.1. For any direction v, differentiating z=y+hA(y)z gives (I−hA)Dyz[v]=v+h(DA(y)[v])z; boundedness from step 1.1 therefore gives Dyz[v]=v+O(h) uniformly for ∥v∥2≤1.

3.1F1F5F6F7F8F9step 1.1step 2.1algebra

Using Ψh−y=hBΨh, substitute z and use step 2.1 to obtain Ψh−y=hBz+hB(Ψh−z)=h2(F(y)+F(z))+O(h3). Taylor expansion of F at y, together with z−y=hF(y)+O(h2) from step 1.1, gives F(z)=F(y)+hDF(y)F(y)+O(h2). Thus Ψh(y)=y+hF(y)+h22DF(y)F(y)+O(h3). By [F5]–[F7], the exact solution has the same expansion: y′′=DF(y)F(y) and its third derivative is bounded, so the one-variable Taylor remainder applied coordinatewise is O(h3). Their difference is the asserted uniform exact-start defect in [F9].

3.2F3F4F6F7step 2.1step 2.2algebra

Differentiating Ψh=y+hB(y,z)Ψh in direction v gives DyΨh[v]=(I−hB(y,z))−1(v+h(D1B(y,z)[v]+D2B(y,z)[Dyz[v]])Ψh), with the inverse defined by step 2.1.

4.1F1F2F3F6F7step 1.1step 2.1step 2.2step 3.2algebra

Steps 1.1–2.2 give z=y+O(h), Ψh=y+O(h), B(y,z)=A(y)+O(h), and (I−hB)−1=I+hB+O(h2) uniformly. Substitution yields DyΨh[v]=v+h(A(y)v+(D1B(y,y)[v]+D2B(y,y)[v])y)+o(h). Differentiating B(y,y)y=F(y) with the chain and product rules identifies the coefficient as DF(y)v; compactness makes the remainder uniform, so DyΨh(y)=I+hDF(y)+hE(h,y) with sup⁡y∈U∥E(h,y)∥2→0.

5.1F10F11step 4.1algebra∎

Compactness bounds ∥DF(y)∥2 uniformly, and step 4.1 makes the E contribution at most h for sufficiently small h. The norm properties in [F10] then give ∥DyΨh(y)∥2≤1+Lh after decreasing h0 and increasing L. Applying [F11] on convex U proves ∥Ψh(u)−Ψh(v)∥2≤(1+Lh)∥u−v∥2.

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