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Computed hybrid mimetic states and numerical fluxes converge to monotone diffusion
Statement
Under exactly the hypotheses of Energy and computed-state compactness for hybrid mimetic backward Euler, the computed cell states converge, along a subsequence, to a weak evolution solution of , , in the sense of Coercive monotone p-growth diffusion fluxes. In addition to the strong state convergences in that lemma, the actual constitutive fields converge weakly in to , and The final cell states converge strongly to in .
This includes convergence of a physical reconstruction of the actual numerical face fluxes. Let , , , and . On the physical pyramid with vertex and base set Then exactly, strongly in , with , and in . No strong convergence of is inferred from mere monotonicity.
Finally the hypotheses of Conditional monotone finite-volume parabolic limit identification can be supplied on this same subsequence by conforming limit recovery: take and . These are post-limit conforming functions, distinct from the computed companions , constitutive fields , and numerical fluxes . The computed convergence assertion above is established independently of this recovery observation.
Facts & Assumptions
Given: AC and exactly the mesh, stabilization, time, exponent, flux, data and initialization hypotheses in the energy/compactness lemma.
Energy and computed-state compactness for hybrid mimetic backward Euler proves step existence, uniform energy and dual-time-derivative bounds, strong cell-state convergence in for every finite and in , and weak with .
Finite-volume companions, mean tests and weak-gradient closure gives bounded mean tests, uniformly and for smooth compactly supported spatial tests. Coercive monotone p-growth diffusion fluxes gives growth and pointwise monotonicity.
The Banach evolution-space energy identity and H trace gives a continuous representative and the exact energy identity for a -valued limit with derivative in . Minty identification for a monotone Carathéodory flux identifies a weak constitutive-field limit from the weak gradients and the flux-energy limsup.
Conditional monotone finite-volume parabolic limit identification applies to bounded open domains, conforming reconstructions and its explicitly stated residual/limsup hypotheses. Hölder estimates used below are Holder's inequality for integrals, including the endpoint cases.
Reflexivity of Lp for one less p less infinity and Reflexivity is equivalent to weak subsequential compactness of bounded sequences supply weak subsequences of bounded fields for under AC (coordinatewise for vector fields).
Assuming Countable Choice, is dense in . Extending functions on by zero and restricting smooth approximants shows that their restrictions are dense in , coordinatewise ( is dense in for ). AC supplies Countable Choice by restricting its choice-function assertion to countable families (The Axiom of Choice).
Proof
Use [F1] to extract the strong cell-state and weak-gradient subsequence. Growth gives , so reflexive weak compactness gives along a further subsequence. The cell averages have the same weak limit: for a smooth vector test , , whose absolute value is . The averages are bounded by Jensen, and [F6] extends this identification from smooth tests to all dual tests.
Let . In each step test by and sum after multiplying by . The gradient part equals , and replacing the last factor by costs , by smoothness and [F2]. Weighted Hölder bounds the entire stabilization part by . Since the test cell values are exact means, discrete summation by parts in the mass term is exact. In fact the summed mass term equals exactly, since and the increment equals its time-derivative integral on each interval. The load converges to : because its cell/time means pair exactly with a cell/time constant test, replacing that test by costs . Consequently the actual computed fields satisfy Passing to the limit gives the corresponding identity with . This proves vanishing smooth-test residuals directly from the scheme.
The limiting identity gives , since . Density of smooth compactly supported functions in extends the derivative identity to all tests. Together with [F1], [F3] gives . Scalar integration by parts in the limiting identity with tests identifies for every smooth compactly supported , hence . Its energy identity before flux identification is
The affine interpolated scalar pairings for have uniformly bounded derivatives and uniform bounds by [F1]. They are equicontinuous with modulus , and their distance from the piecewise constant pairings is at most . Strong time-integrated state convergence identifies their uniform limit as ; finite-grid compactness followed by uniqueness of this limit justifies taking the uniform limit. At their values are . Density of in and the uniform terminal bound give in . In particular .
Testing each step by its own state and summing gives the exact identity The load equality uses that the state is constant on each space-time cell. Its limit is by strong convergence. The initial norms converge strongly, and all the jump and stabilization terms are nonnegative. Step 4.1 and the energy identity in step 3.1 therefore give . Thus [F3] applies to the actual computed and , yielding almost everywhere. Steps 2.1–3.1 now give exactly the claimed weak evolution solution.
Pointwise monotonicity compared with the fixed field gives . Expanding and passing through the three weakly linear terms gives , because . Together with step 5.1 this proves energy convergence. In the exact discrete identity of step 5.1 the right side converges, the flux term now converges, and the terminal norm has the stated lower bound. Hence the sum of the nonnegative jump and stabilization terms tends to zero, and the terminal norms converge to . Weak terminal convergence plus convergence of norms in the real Hilbert space gives strong terminal convergence. The lower bound proves .
For a local face basis, and . Substitution into the defined spatial form gives , exactly the stated normal trace of . Pyramid volumes are , by the shape-regular fan geometry. Since , weighted finite-sum Hölder and the bounded face count give Indeed the term contributes , and has the same bound after summing its cell volume. Step 6.1 proves strong vanishing of this difference. Step 1.1 gives , so the full numerical reconstruction converges weakly to the asserted physical flux. It need not be continuous across internal pyramid interfaces; the result asserts exactly its physical face normal values and its weak convergence.
The weak evolution solution already established above belongs to . Set on the extracted sequence and . Strong computed-state convergence in [F1] gives . The conforming gradients and recovery fluxes are constant sequences, so their weak convergence and flux-energy limsup are equalities. Define the old lemma's residual using these recovery fluxes. Subtracting the exact weak equation for leaves just , which tends to zero. Thus every old conditional hypothesis is fulfilled on the bounded open domain. This is an existential limit recovery, not a claim that the computed companion gradients converge strongly or that its nonlinear flux equals the numerical flux; steps 1.1–7.1 supplied the actual scheme closure first.
Depends on
- Energy and computed-state compactness for hybrid mimetic backward Euler
- Finite-volume companions, mean tests and weak-gradient closure
- Coercive monotone p-growth diffusion fluxes
- Minty identification for a monotone Carathéodory flux
- The Banach evolution-space energy identity and H trace
- Conditional monotone finite-volume parabolic limit identification
- Holder's inequality for integrals, including the endpoint cases
- The Axiom of Choice
- Reflexivity of Lp for one less p less infinity
- Reflexivity is equivalent to weak subsequential compactness of bounded sequences
- $C_c^\infty(\mathbb{R}^n)$ is dense in $L^p(\mathbb{R}^n)$ for $1 \le p < \infty$
Used by
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Sources
- Jérôme Droniou, Finite volume schemes for diffusion equations: introduction to and review of modern methods, 2014 (standard reference, not scraped)