[Paper Review] On discrete functional inequalities for some finite volume schemes
This paper establishes discrete Gagliardo-Nirenberg-Sobolev and Poincaré-Sobolev inequalities for finite volume schemes on general meshes with arbitrary boundary conditions, leveraging the continuous embedding of BV(Ω) into L^{N/(N-1)}(Ω). The key contribution is a robust framework for convergence analysis of nonlinear and anisotropic elliptic and parabolic problems using discrete functional inequalities in the DDFV (discrete duality finite volume) context.
We prove several discrete Gagliardo-Nirenberg-Sobolev and Poincaré-Sobolev inequalities for some approximations with arbitrary boundary values on finite volume meshes. The keypoint of our approach is to use the continuous embedding of the space $BV(Ω)$ into $L^{N/(N-1)}(Ω)$ for a Lipschitz domain $ Ω\subset \mathbb{R}^{N}$, with $N \geq 2$. Finally, we give several applications to discrete duality finite volume (DDFV) schemes which are used for the approximation of nonlinear and non isotropic elliptic and parabolic problems.
Motivation & Objective
- To derive discrete functional inequalities for finite volume schemes applicable to nonlinear and anisotropic elliptic and parabolic problems.
- To extend Poincaré-Sobolev and Gagliardo-Nirenberg-Sobolev inequalities to general finite volume meshes with arbitrary boundary values.
- To provide a theoretical foundation for convergence and error analysis of DDFV schemes using BV space embeddings.
- To unify and generalize existing discrete inequalities under a single analytical framework based on continuous embeddings.
- To support the convergence analysis of DDFV schemes for problems with Dirichlet, Neumann, or mixed boundary conditions.
Proposed method
- Utilizes the continuous embedding of the space BV(Ω) into L^{N/(N-1)}(Ω) for Lipschitz domains Ω ⊂ ℝ^N, N ≥ 2, as the foundational analytical tool.
- Applies this embedding to derive discrete inequalities for finite volume approximations, particularly in the DDFV (discrete duality finite volume) framework.
- Employs a discrete gradient formulation based on cell and dual-cell unknowns, with interface fluxes defined over mesh interfaces.
- Uses Cauchy-Schwarz and geometric estimates involving the angle α_T of the mesh to bound discrete seminorms in terms of the L^q norm.
- Derives inequalities for both homogeneous Dirichlet and Neumann boundary conditions by adapting the underlying continuous embedding argument.
- Establishes bounds on the L^q norm of discrete functions in terms of discrete W^{1,p} seminorms, with constants depending on domain geometry and mesh regularity.
Experimental results
Research questions
- RQ1Can discrete Gagliardo-Nirenberg-Sobolev and Poincaré-Sobolev inequalities be established for finite volume schemes with arbitrary boundary conditions on general meshes?
- RQ2How can the continuous embedding of BV(Ω) into L^{N/(N-1)}(Ω) be adapted to derive robust discrete functional inequalities in the finite volume context?
- RQ3What are the dependence and stability of the discrete inequality constants on mesh regularity, particularly the angle α_T?
- RQ4How can these inequalities be extended to DDFV schemes with mixed or non-homogeneous boundary conditions?
- RQ5Can these inequalities support convergence analysis for nonlinear and anisotropic elliptic and parabolic problems in the DDFV framework?
Key findings
- A discrete Poincaré-Sobolev inequality is established for DDFV schemes with homogeneous Dirichlet boundary conditions in 2D, valid for 1 ≤ p < 2 and 1 ≤ q ≤ p* = 2p/(2-p), and for p ≥ 2 and 1 ≤ q < ∞.
- The constant in the inequality depends on p, q, the boundary part ̺0, the domain Ω, and the mesh's minimal angle α_T, with a factor of 1/(sin(α_T))^{1/p} in the denominator.
- For the case p=2, the inequality reduces to a discrete Poincaré-type bound with constant proportional to 1/sin(α_T), confirming robustness under mesh distortion.
- The method enables convergence analysis for nonlinear and anisotropic PDEs by providing uniform bounds on discrete solutions in L^q norms.
- The approach generalizes previous results by avoiding restrictive mesh assumptions (e.g., orthogonality) and extending to arbitrary boundary values.
- The framework supports both Dirichlet and Neumann boundary conditions through a unified embedding-based argument, enhancing applicability to real-world problems.
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This review was created by AI and reviewed by human editors.