Entropy stable shock-capturing space–time discontinuous Galerkin (SC-DG) methods approximate general nonlinear systems of conservation laws in several space dimensions using entropy variables and entropy stable numerical fluxes. For general systems, their rigorous convergence theory (Hiltebrand and Mishra, 2014; Zakerzadeh and May, 2016) establishes convergence to entropy measure-valued solutions only under an assumed uniform L∞L^\infty bound on the approximate entropy variables — a hypothesis with no known intrinsic justification for multi-dimensional nonlinear systems. The problem is to eliminate this hypothesis: either prove intrinsic uniform L∞L^\infty bounds for the scheme, or otherwise establish mesh-convergence to an entropy measure-valued solution without assuming boundedness. Subsequent developments — the entropy measure-valued framework, statistical solutions, Euler-specific dissipative measure-valued convergence, and 2024–2026 error-estimate work — still rely on assumed boundedness or change the scheme class and solution concept.

Background

A system of hyperbolic conservation laws ∂tu+∇ ⁣⋅f(u)=0\partial_t u + \nabla\!\cdot f(u) = 0, with u:Rd×R+→RNu:\mathbb{R}^d\times\mathbb{R}^+\to\mathbb{R}^N and flux f=(f1,…,fd)f=(f_1,\dots,f_d), models transport-dominated continuum physics (e.g., the compressible Euler equations). Classical solutions develop discontinuities (shocks) in finite time, so one works with weak solutions, and an entropy pair — a convex function η(u)\eta(u) (the mathematical entropy, e.g., the negative of physical entropy) together with a companion entropy flux q(u)q(u) satisfying ∇uqj=∇uη fj′\nabla_u q_j = \nabla_u \eta\, f_j' — selects the physically admissible solution via the inequality ∂tη(u)+∇ ⁣⋅q(u)≤0\partial_t \eta(u) + \nabla\!\cdot q(u) \le 0. When the entropy is strictly convex one can change variables to the entropy variables v=∇uη(u)v = \nabla_u \eta(u), in which the system becomes symmetric hyperbolic (symmetrizable); this is the natural variable set for Galerkin discretizations going back to Hughes' entropy-variable finite element formulations. Tadmor's entropy stability theory says a semi-discrete scheme is entropy stable if it satisfies a discrete version of the entropy inequality; it is built from entropy conservative fluxes plus suitable numerical diffusion.

The method at issue (Hiltebrand and Mishra, Numer. Math. 2014) is a fully implicit space–time discontinuous Galerkin (DG) method — DG is a finite element method with discontinuous, elementwise polynomial basis functions, here posed on space–time slabs in the entropy variables — stabilized by streamline diffusion (a consistent linear upwinding term) and a nonlinear residual-based shock-capturing artificial-viscosity term, with entropy stable fluxes at element interfaces. For general nonlinear systems in several space dimensions the authors prove entropy stability and convergence, as the mesh is refined, to an entropy measure-valued (emv) solution: a Young measure, i.e., a map (x,t)↦νx,t(x,t)\mapsto \nu_{x,t} assigning to each point a probability measure on state space (encoding possible unresolved oscillations), that satisfies the conservation law and the entropy inequality in the sense of averages against ν\nu. Convergence to an actual entropy weak solution is proved only for scalar laws and linear symmetrizable systems. The convergence proof is modeled on the classical approach of DiPerna (Measure-valued solutions to conservation laws, Arch. Ration. Mech. Anal. 88 (1985) 223–270): entropy stability gives weak stability of the approximations, but the Young-measure compactness argument requires, as a hypothesis, a uniform bound ∥vh∥L∞≤C\|v^h\|_{L^\infty} \le C on the approximate entropy variables, with CC independent of the mesh hh. For scalar laws such bounds are automatic (discrete maximum principles, monotone schemes), but for systems in several space dimensions no mechanism — continuous or discrete — is known that produces them: entropy stability alone yields essentially only L2L^2/energy-type bounds, and the entropy-variable map u↦vu\mapsto v can amplify loss of pointwise control. The companion issues the source paper flagged (the shock-capturing scaling parameter α\alpha, shock-capturing/streamline-diffusion coefficients, and the direct sparse linear solves) concern accuracy and efficiency rather than the convergence theory; the efficient-preconditioning question was subsequently addressed by the authors themselves (Commun. Comput. Phys. 17 (2015) 1320–1359), while the L∞L^\infty-bound hypothesis has remained the load-bearing open assumption of the whole framework.

Problem Statement

For the entropy-variable shock-capturing space–time DG scheme of Hiltebrand–Mishra and the streamline-diffusion-free shock-capturing space–time DG variant of Zakerzadeh–May, whose convergence theorems both assume the same mesh-uniform L∞L^\infty bound on the approximate entropy variables, applied to a general nonlinear symmetrizable system of conservation laws ∂tu+∇ ⁣⋅f(u)=0\partial_t u + \nabla\!\cdot f(u)=0 in d≥2d\ge 2 space dimensions with initial data u0∈L1∩L∞u_0\in L^1\cap L^\infty and a strictly convex entropy, eliminate the assumed uniform L∞L^\infty hypothesis for this scheme class: either (a) prove an intrinsic uniform L∞L^\infty bound ∥vh∥L∞≤C\|v^h\|_{L^\infty}\le C with CC depending only on the data, as a consequence of the schemes' entropy stability and shock-capturing mechanism, and thereby close the convergence-to-emv-solution proof without assumed boundedness; or (b) prove mesh-convergence to an entropy measure-valued solution by any other route that does not presuppose uniform L∞L^\infty bounds. The question concerns the general-systems case; results valid only for scalar equations, linear symmetrizable systems, or a single specific system under additional structural a priori bounds (such as the energy-based dissipative measure-valued framework for Euler) do not by themselves answer it.

References

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