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Conservative finite-volume weak limits

1 · Prerequisites

2 · Summary

This page defines a one-dimensional full-line conservative finite-volume scheme for a scalar Cauchy problem, its cellwise state and face-flux reconstructions, and the Godunov flux for Burgers' equation. The main theorem proves that a strong local L1 limit of locally uniformly bounded reconstructions satisfies the distributional weak formulation, including the initial boundary term. The proof uses cell-time test averages, telescoping interface fluxes, local flux convergence and separate control of the strip near t=0. Convergence and local boundedness are hypotheses: the theorem proves neither compactness nor entropy admissibility and assumes no CFL condition.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Locally bounded distributional weak solutions of scalar laws

Definition

Let T>0, let f ⁣:R→R be continuous, and let u0∈L∞(R)∩Lloc1(R). A measurable function u ⁣:R×(0,T)→R is a locally bounded distributional weak solution of ut+f(u)x=0 with initial datum u0 if for every bounded interval I⊂R and every T′<T it is essentially bounded on I×(0,T′), and, for every φ∈Cc∞(R×(−∞,T)), ∫0T∫R(uφt+f(u)φx) dx dt+∫Ru0(x)φ(x,0) dx=0. The integrals are local: if a test is supported in I×[−S,T′] with I bounded and T′<T, the local essential bound makes u bounded on I×(0,T′], and continuity of f makes f(u) bounded on that bounded range. The initial integral is finite because u0 is locally integrable and φ(⋅,0) is compactly supported. This is the local integrability version of the weak identity in Distributional weak solutions of the Cauchy problem, whose published formulation assumes a global L∞ bound. This definition adds no entropy inequality or strong local L1 trace requirement.

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Conservative two-point finite-volume schemes for scalar laws

Definition

Let T>0, let f ⁣:R→R be continuous, and let u0∈L∞(R)∩Lloc1(R) be initial data for ut+f(u)x=0 in the convention of Scalar conservation laws, fluxes and Cauchy data. For each m∈N, choose hm>0 and τm>0 with hm→0 and τm→0. Define the uniform cells Ijm=[jhm,(j+1)hm) for j∈Z and the time levels tnm=nτm for n∈N0.

A continuous consistent numerical flux is a continuous map F ⁣:R2→R such that F(a,a)=f(a) for every a∈R. The associated conservative two-point finite-volume scheme starts from the cell averages Ujm,0=1hm∫Ijmu0(x) dx and uses one shared interface flux Qj+1/2m,n=F(Ujm,n,Uj+1m,n) at every face. Its explicit update is Ujm,n+1=Ujm,n−τmhm(Qj+1/2m,n−Qj−1/2m,n),j∈Z,n∈N0. Each internal face flux enters the two adjacent cell updates with opposite signs; this shared-flux difference is the meaning of conservative here. This definition imposes no CFL condition and no relation between τm and hm.

The indexing convention is shown below. Each rectangle is one spatial cell; the arrows indicate the signed numerical flux, with positive sign oriented to the right. The same Qj+1/2m,n leaves cell j and enters cell j+1.

Um;nj¡1Um;njUm;nj+1Qm;nj¡1=2Qm;nj+1=2Qm;nj+3=2

Remarks

The weak equation is one-dimensional on the full line. Compactly supported space-time tests therefore encounter only finitely many cells and no physical boundary flux. A boundedness or compactness estimate for the scheme is not part of this definition.

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Piecewise-constant finite-volume state and face-flux reconstructions

Definition

Use the cells, time levels, states and interface fluxes from Conservative two-point finite-volume schemes for scalar laws. For Jnm=[tnm,tn+1m), the piecewise-constant state reconstruction and face-flux reconstruction are the measurable functions Um(x,t)=Ujm,n,Qm(x,t)=Qj+1/2m,n whenever (x,t)∈Ijm×Jnm. Values on cell or time-grid boundaries may be assigned arbitrarily, since those boundaries have two-dimensional Lebesgue measure zero. In particular, for almost every (x,t), Qm(x,t)=F ⁣(Um(x,t),Um(x+hm,t)).

Remarks

Strong Lloc1 convergence of reconstructions means convergence in L1 on every compact subset of R×(0,T). It is an explicit hypothesis in the weak-limit theorem below; it is not produced by the reconstruction definition.

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Godunov numerical flux for Burgers' equation

Definition

For Burgers' flux fB(s)=s2/2, define G ⁣:R2→R as follows. If a≤b, set G(a,b)={a2/2,a≥0,b2/2,a<0 and b≤0,0,a<0<b. If b<a, set G(a,b)=12max⁡{a2,b2}. This is the Godunov flux for the convex Burgers flux: for increasing states it uses the minimum of fB on [a,b], and for decreasing states it uses the maximum of fB on [b,a]. It is proposed as a particular numerical flux in the scheme of Conservative two-point finite-volume schemes for scalar laws. Its continuity and consistency are verified in the pair.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

The Burgers Godunov flux is continuous and consistent

Statement

The map G defined in Godunov numerical flux for Burgers' equation is continuous on R2 and satisfies G(a,a)=fB(a)=a2/2 for every a∈R.

Facts & Assumptions

Given: The flux definition G and the consistency convention for a numerical flux.

[F1]

The case formula for G(a,b), including its a≤b branches and its b<a branch. (Godunov numerical flux for Burgers' equation)

[F2]

A numerical flux for the scalar law with flux f is consistent when it is continuous and satisfies F(a,a)=f(a) for every a. (Conservative two-point finite-volume schemes for scalar laws)

Proof

1.1F1algebra

On each open region cut out by a=b, a=0, and b=0, the displayed formula in [F1] is either a polynomial, zero, or (a2+b2+∣a2−b2∣)/4, so it is continuous there.

2.1F1step 1.1algebra

At a boundary with a=b>0 both adjacent formulas tend to a2/2; at a=b<0 both tend to a2/2; at a=0≤b the left and right limits are zero; at a≤0=b the limits are zero. On the remaining axis portions a=0>b and b=0<a, a neighborhood lies in the single shock branch b<a, whose formula is continuous there. At (a,b)=(0,0) every branch has absolute value at most max⁡{a2,b2}/2, which tends to zero. These checks cover every branch boundary and prove continuity on all of R2.

3.1F1F2algebra∎

On the diagonal, if a≥0 the first branch gives G(a,a)=a2/2; if a<0 the second branch gives G(a,a)=a2/2. Thus G(a,a)=fB(a) for all a, and [F2] makes G a consistent numerical flux.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Discrete weak identity for a conservative finite-volume update

Statement

Let (Ujm,n) be a scheme from Conservative two-point finite-volume schemes for scalar laws, with reconstruction (Um,Qm) as in Piecewise-constant finite-volume state and face-flux reconstructions. For a test function φ∈Cc∞(R×(−∞,T)), define its space-time cell average Φjm,n=1hmτm∫tnmtn+1m∫Ijmφ(x,t) dx dt. If N≥1 is such that φ vanishes for t≥tN−1m, then ∑j∈ZhmUjm,0Φjm,0+∑n=1N−1∑j∈ZhmUjm,n(Φjm,n−Φjm,n−1)+∑n=0N−1∑j∈ZτmQj+1/2m,n(Φj+1m,n−Φjm,n)=0. All sums are finite because φ is compactly supported in space and time.

Facts & Assumptions

Given: The grid, fluxes and update in Conservative two-point finite-volume schemes for scalar laws, the reconstruction convention in Piecewise-constant finite-volume state and face-flux reconstructions, and the test and terminal index in the Statement.

[F1]

The cell update is hm(Ujm,n+1−Ujm,n)+τm(Qj+1/2m,n−Qj−1/2m,n)=0. (Conservative two-point finite-volume schemes for scalar laws)

[F2]

The test averages Φjm,n are constant on each cell-time slab, and Qm=Qj+1/2m,n on Ijm×Jnm. (Piecewise-constant finite-volume state and face-flux reconstructions)

Proof

1.1F1F2given

Multiply [F1] by Φjm,n and sum over j∈Z and n=0,…,N−1. Only finitely many terms are nonzero, so the summed update is an exact finite sum equal to zero.

2.1step 1.1algebra

For each fixed j, telescoping gives ∑n=0N−1(Ujm,n+1−Ujm,n)Φjm,n=−Ujm,0Φjm,0+∑n=1N−1Ujm,n(Φjm,n−1−Φjm,n), since Φjm,N−1=0 by the terminal support condition.

3.1step 1.1step 2.1algebra∎

Reindex the spatial flux sum: ∑j(Qj+1/2m,n−Qj−1/2m,n)Φjm,n=∑jQj+1/2m,n(Φjm,n−Φj+1m,n). Substitute this and step 2.1 into step 1.1, then multiply the zero identity by −1 to obtain exactly the displayed formula.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Strong local convergence of consistent finite-volume face fluxes

Statement

Assume the Axiom of Countable Choice ACω. Let (Um,Qm) be reconstructions from Piecewise-constant finite-volume state and face-flux reconstructions for schemes using a continuous consistent flux F for a continuous physical flux f as in Conservative two-point finite-volume schemes for scalar laws. Suppose hm→0, Um→u strongly in Lloc1(R×(0,T)), and for every bounded interval I⊂R and T′<T there is MI,T′<∞ such that ∣Um∣≤MI,T′ almost everywhere on I×[0,T′] for every m. Then u is locally essentially bounded up to the initial face and, for every bounded interval I and T′<T, ∥Qm−f(u)∥L1(I×(0,T′))⟶0.

Facts & Assumptions

Given: ACω, hm→0, strong local L1 convergence, and local uniform bounds on every cylinder I×[0,T′].

[A1]

ACω says every countable family of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)).

[F1]

The state and face-flux reconstructions satisfy Qm(x,t)=F(Um(x,t),Um(x+hm,t)) almost everywhere, and F(a,a)=f(a). (Piecewise-constant finite-volume state and face-flux reconstructions, Conservative two-point finite-volume schemes for scalar laws)

[F2]

Assuming ACω, if v∈L1(R2) then ∥τzv−v∥L1(R2)→0 as z→0. (∥τhf−f∥p→0 in Lp(Rn) as h→0, for 1≤p<∞)

[F3]

Under ACω, bounded measurable sets in R2 have finite Lebesgue measure. For any measurable sequence (Er), disjointifying by F1=E1 and Fr=Er∖⋃k<rEk gives λ2(⋃rEr)=∑rλ2(Fr)≤∑rλ2(Er) by countable additivity and monotonicity; hence Lebesgue measure is countably subadditive. Therefore a bounded measurable function restricted to a bounded rectangle belongs to L1. (Lebesgue measure is sigma-finite, and every metrically bounded subset of Rn has finite outer measure, Measures on sigma-algebras, Measures are monotone)

[F5]

A continuous real-valued function on a nonempty compact metric space is bounded. (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value)

[F6]

A continuous map on a compact metric space is uniformly continuous. (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous)

[F7]

Under ACω, translation is an isometry of L1(R2): ∥τzv∥1=∥v∥1. This follows from translation invariance of Lebesgue measure (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation).

[F8]

Assuming ACω, every rectangle in R2 with any choice of included or excluded faces is measurable and has measure equal to its area. (A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included)

Proof

1.1F3givenalgebra

Fix a closed bounded interval I and T′<T, with common state bound M on I×[0,T′]. For 0<ϵ<T′, let K=I×[ϵ,T′]. If E={(x,t)∈K:∣u(x,t)∣>M} had positive measure, then E=⋃r≥1Er, where Er={(x,t)∈K:∣u(x,t)∣≥M+1/r}. By countable subadditivity in [F3], some Er has positive measure. Since ∣Um∣≤M almost everywhere on K, it follows that ∥Um−u∥L1(K)≥r−1∣Er∣>0 for every m, contradicting strong L1 convergence on K. Thus ∣u∣≤M almost everywhere on K. Taking ϵ=1/r for sufficiently large integers r covers I×(0,T′); any bounded interval is contained in a closed bounded one, so u is locally essentially bounded up to t=0.

2.1A1F2F3F7givenstep 1.1algebra

Fix 0<ϵ<T′ and a compact rectangle K⊂R×[ϵ,T′]. Enlarge its spatial interval by 1; step 1.1 bounds u there. The cutoff v=u on this enlarged bounded rectangle and v=0 elsewhere is bounded and measurable, so [F3] makes v∈L1(R2). For all large m, hm<1. By [F2], ∥u(⋅+hm,⋅)−u∥L1(K)→0: the cutoff agrees with u on K and on K+hm. Also K+hm is contained in one fixed compact enlargement K′ for all large m, so strong local convergence gives ∥Um(⋅+hm,⋅)−u(⋅+hm,⋅)∥L1(K)=∥Um−u∥L1(K+hm)≤∥Um−u∥L1(K′)→0. The equality follows by applying [F7] to the restriction of Um−u to the compact set K+hm. The triangle inequality gives Um(⋅+hm,⋅)→u in L1(K).

3.1A1F1F3F4F5F6step 1.1step 2.1algebra

Let K be as in step 2.1, and choose a common bound M on the enlarged rectangle. The square S=[−M,M]2 is a nonempty closed box, hence compact by [F4]. Continuity of F and [F5] bound F on S; [F6] makes it uniformly continuous there. Put am=Um(x,t) and bm=Um(x+hm,t). Steps 1.1–2.1 show both converge to u in measure on K, and all three values lie in [−M,M] almost everywhere. For δ>0, the set where either input error is at least δ has measure at most δ−1 times the sum of the two L1 errors. Since K has finite measure by [F3], uniform continuity makes ∣F(am,bm)−F(u,u)∣ arbitrarily small in integral off this set, while boundedness of F controls its integral on the set. Thus F(am,bm)→F(u,u)=f(u) in L1(K). By [F1], Qm→f(u) in L1(K).

4.1F1F4F5F8step 1.1step 3.1givenalgebra∎

On I×(0,ϵ), for all sufficiently large m we have hm<1, so the local state bound on the interval enlarged by 1 bounds both flux inputs uniformly in m; step 1.1 bounds u. Continuity of F on the compact square [−M,M]2 and continuity of f on the compact interval [−M,M] bound Qm and f(u) there by one constant. The integral of ∣Qm−f(u)∣ over this strip is at most a constant times λ2(I×(0,ϵ))=∣I∣ϵ by [F8]. Step 3.1 gives convergence on I×[ϵ,T′]. Letting first m→∞ and then ϵ↓0 proves convergence on I×(0,T′].

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Conservative finite-volume strong-limit theorem

Statement

Assume the Axiom of Countable Choice ACω. Let T>0, f ⁣:R→R be continuous, u0∈L∞(R)∩Lloc1(R), and F ⁣:R2→R be continuous with F(a,a)=f(a) for every a∈R. For each m, form the conservative finite-volume scheme and space-time reconstruction of Conservative two-point finite-volume schemes for scalar laws and Piecewise-constant finite-volume state and face-flux reconstructions using hm,τm→0 and initial cell averages of u0. Suppose reconstructions converge strongly in Lloc1(R×(0,T)) to u, and for every bounded interval I⊂R and T′<T there is MI,T′<∞ such that ∣Um∣≤MI,T′ almost everywhere on I×[0,T′] for every m. Then u is a locally bounded distributional weak solution in the sense of Locally bounded distributional weak solutions of scalar laws; explicitly, for every φ∈Cc∞(R×(−∞,T)),

∫0T∫R(uφt+f(u)φx) dx dt+∫Ru0(x)φ(x,0) dx=0.

The strong convergence and local uniform bounds are hypotheses, not conclusions. No CFL condition or entropy inequality is assumed, so the theorem proves a weak limit only; it does not claim Kruzhkov entropy admissibility. If the limit is also globally essentially bounded, this identity is the published bounded weak formulation in Distributional weak solutions of the Cauchy problem.

Facts & Assumptions

Given: ACω, the scalar flux f, initial datum u0, the scheme and reconstructions, hm,τm→0, local uniform bounds on the states up to t=0, strong Lloc1 convergence to u, and a compactly supported smooth test φ whose support may meet t=0.

[A1]

The Axiom of Countable Choice says that every countable family of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)).

[F1]

The initial states are cell averages of u0, and the update is the shared-flux difference hm(Ujm,n+1−Ujm,n)+τm(Qj+1/2m,n−Qj−1/2m,n)=0. (Conservative two-point finite-volume schemes for scalar laws)

[F2]

Um=Ujm,n and Qm=Qj+1/2m,n on each Ijm×Jnm, and the face flux equals F(Um(x,t),Um(x+hm,t)) almost everywhere. (Piecewise-constant finite-volume state and face-flux reconstructions)

[F3]

For the averaged test Φjm,n, the exact discrete identity is

∑jhmUjm,0Φjm,0+∑n=1N−1∑jhmUjm,n(Φjm,n−Φjm,n−1)+∑n=0N−1∑jτmQj+1/2m,n(Φj+1m,n−Φjm,n)=0

when the test vanishes for t≥tN−1m. (Discrete weak identity for a conservative finite-volume update)

[F4]

Under strong local L1 convergence and local uniform bounds up to t=0, u is locally essentially bounded and Qm→f(u) in L1 on every bounded interval times (0,T′). (Strong local convergence of consistent finite-volume face fluxes)

[F5]

A locally bounded distributional weak solution is a measurable, locally essentially bounded u for which the displayed weak identity with initial boundary term holds for every test meeting t=0. (Locally bounded distributional weak solutions of scalar laws)

[F6]

If the state is globally bounded and satisfies this initial weak identity, it meets the published bounded weak-solution definition. (Distributional weak solutions of the Cauchy problem)

Proof

1.1F1F2F3givenchoose

Fix φ∈Cc∞(R×(−∞,T)). Its time support on [0,T) is contained in [0,Tφ] for some Tφ<T. For all sufficiently large m, choose Nm≥3 with Tφ<tNm−2m<tNm−1m<tNmm<T. By [F1] and [F2] these are precisely the scheme states and face fluxes of the reconstruction, so [F3] gives the exact summed update identity for this test.

2.1F1F2F3step 1.1givenalgebra

The initial term in [F3] converges to the desired boundary term. Indeed, hmUjm,0=∫Ijmu0, while Φjm,0 is the average of φ on Ijm×[0,τm). Smoothness gives ∣Φjm,0−φ(x,0)∣≤Cφ(hm+τm) for x∈Ijm; summing the resulting errors over the finitely many cells meeting the support bounds the total by Cφ(hm+τm)∫K∣u0∣→0 on a fixed compact K.

2.2F2F3step 1.1givenalgebra

For n≥1, the difference Φjm,n−Φjm,n−1 differs from hm−1∫Ijm∫Jnmφt by at most Cφτm2, by Taylor's formula in time for the smooth function t↦hm−1∫Ijmφ(x,t) dx. After multiplication by hmUjm,n and summation over O(hm−1) cells and O(τm−1) time slabs in the fixed support, the total error is O(τm). The missing first-slab integral is also O(τm) because ∣Um∣ is uniformly bounded on the compact support and φt is bounded. Hence the time sum in [F3] differs from ∫0T∫Umφt by a quantity tending to zero.

2.3F1F2F3step 1.1givenalgebra

For each j,n, translation of a cell interval and the fundamental theorem of calculus give τm(Φj+1m,n−Φjm,n)=∫Jnm∫Ijm1hm∫0hmφx(x+s,t) ds dx dt. Its difference from ∫Jnm∫Ijmφx is at most Cφhm2τm, by the bound on φxx. The numerical face fluxes are uniformly bounded on cells meeting the test support because F is continuous on the compact state square supplied by local boundedness. Summing over the finitely many cells and time slabs meeting the test support gives total error O(hm). Thus the flux sum in [F3] differs from ∫0T∫Qmφx by a quantity tending to zero.

3.1A1F3F4F5F6step 2.1step 2.2step 2.3givenalgebra∎

Strong local L1 convergence gives ∫Umφt→∫uφt on times bounded away from zero. On I×(0,ϵ), the local uniform bound for both Um and u makes the integral difference at most a constant times ∣I∣ϵ; letting ϵ↓0 proves convergence on the full test support. By [F4], ∫Qmφx→∫f(u)φx on that support. Step 2.1 gives the initial term limit, and steps 2.2–2.3 identify the limits of the discrete sums. Taking the limit in [F3] proves the weak identity. By [F4], u is locally essentially bounded, and [F5] identifies it as the stated local weak solution.

5 · Examples, counterexamples and false statements

None yet.

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