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Fractional face traces and cellwise Green identity on a simplex
Statement
Assume Countable Choice. Let be a shape-regular affine -simplex, a facet, and . Every has a single-valued trace . For , and while for , and the face-mean fluctuation is bounded by . The constant depends only on , the shape-regularity bound, and .
If , , and distributionally, then for every , Here is the outward unit normal. The trace threshold is used to make the normal-gradient trace an function.
The two cell traces of a global function agree on a shared interior facet, and the trace of a global function vanishes on a boundary facet. More generally, if and , then its two traces on each shared interior facet agree almost everywhere.
Facts & Assumptions
Given: Countable Choice, a shape-regular affine simplex, the local Slobodeckij convention of Fractional Sobolev regularity on a simplex, and the real Sobolev spaces of Integer-order Sobolev spaces and their norms.
For a measurable face or cell of positive measure, write .
On , the double-integral Slobodeckij seminorm is equivalent to the sum of coordinate-direction difference integrals; in particular it controls the integral in any chosen orthonormal direction. (The coordinate-direction form of the Slobodeckij seminorm)
Smooth functions are dense in on the reference simplex and in for . (Smooth functions are dense in finite-order Sobolev spaces on a reference simplex, Compactly supported smooth functions are dense in Slobodeckij spaces)
A smooth vector field on an affine simplex satisfies Gauss–Green with the outward facet normals. (Gauss–Green formula on an affine simplex)
The affine map of a shape-regular simplex has determinant comparable to , singular values comparable to , and facet Jacobians comparable to . (Shape regularity controls affine simplex geometry)
A compact set inside an open set has a smooth cutoff supported in the open set and equal to one near the compact set; compactness gives a finite subcover of the closed simplex. (Test function cutoffs and euclidean localization, Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line)
For nonnegative measurable integrands, Tonelli permits the iterated integrals and the changes between layer, face, and volume integrations used below. (Tonelli and Fubini for the completed product, with only almost-everywhere section measurability, The Axiom of Countable Choice ())
Smooth functions on an open set are dense in its finite-order Sobolev spaces; is the closure of compactly supported smooth functions. (Meyers–Serrin density on an arbitrary open set, Zero-boundary Sobolev space as a norm closure)
The Poincare–Wirtinger inequality controls a mean-zero function on the reference simplex by its gradient. (Poincare–Wirtinger inequality on a reference simplex)
A smooth cutoff supported in an interior neighborhood can localize a function, and smooth functions are dense in for . (Test function cutoffs and euclidean localization, Compactly supported smooth functions are dense in Slobodeckij spaces)
Countable unions of measurable null sets are null. (Finite and countable subadditivity of measures)
For , standard mollifiers converge in ; in they converge together with all first weak derivatives. (Complex translation, convolution, approximate identities, and mollification, Interior mollification commutes with weak derivatives)
Smooth functions compactly supported in an open set are dense in its space, so affine dilations are continuous in by approximation and change of variables. (Smooth compactly supported functions of an open set are dense in , A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions)
Under an invertible affine map , weak derivatives obey ; in particular the homothety gives . The assertion follows by testing against compactly supported smooth functions and applying affine change of variables. (Affine pullback of weak derivatives and Sobolev seminorms)
For a smooth scalar cutoff , weakly. (Weak Leibniz rule with a smooth factor)
Holder's inequality with exponents makes products of volume or face functions integrable and gives . (Holder's inequality for integrals, including the endpoint cases)
A compactly supported function on an open set extends by zero to . (Compactly supported Sobolev functions extend by zero in every integer order)
Proof
Fractional Poincare inequality. Put . Since on and by [F4], The equality follows by expanding the square and evaluating the two cross terms; the inequality follows by multiplying the Gagliardo integrand by .
Fractional extension from the reference simplex. Cover its closed simplex by finitely many affine coordinate neighborhoods: at a point on a face of codimension , the vanishing barycentric coordinates are independent and the simplex is locally the orthant where those coordinates are positive. Compactness gives a finite cover with smaller compact subsets still covering the closed simplex. By [F5], choose smooth cutoffs supported in the corresponding neighborhoods and equal to one on those smaller sets; divide them by their positive sum near the closed simplex to obtain a finite smooth partition of unity. Multiplication by a smooth cutoff is bounded on : split into and , use , and integrate the latter radial kernel, finite exactly for . Each localized piece is supported away from the artificial edge of its chart, so extending by zero there adds at most to the seminorm: all cross-pairs have distance at least the support-to-edge distance. In orthant coordinates extend across each active coordinate hyperplane by even reflection. Same-side pairs reproduce the original integral; for opposite-side pairs with , , so their Gagliardo integrand is bounded by the corresponding original-side integrand. Iterating over the finitely many active coordinates, pulling back the nonsingular affine charts, and summing the finitely many extensions gives a bounded linear extension . The same construction for uses the ordinary even-reflection weak derivative formula; the zero extension of each compactly supported localized piece is justified by [F16].
The trace bound. First take smooth on the closed reference simplex. Fix a facet and its opposite vertex , and set . Then on every other facet , while on . Gauss–Green applied to gives On the fixed reference simplex, and is bounded, so Holder [F15] gives . By the density in [F2], this defines the trace for every and proves its boundedness. On a physical cell, apply the affine scaling in [F4] to obtain The constants are uniform over shape-regular cells.
Trace on a hyperplane for . For a smooth on , let . For each , Cauchy–Schwarz and the identity give . The geometric series converges because , and . Integrating in and using [F1] on the normal direction yields By density [F2] this restriction extends uniquely to . Apply it to the extension in step 1.2, after an orthogonal change of coordinates, to define and obtain a bounded trace on each reference facet. If two extensions agree on the simplex, their difference vanishes on the one-sided normal slices; the same dyadic averages show its trace is zero, so the trace is independent of the extension.
Density in the graph norm. Let with , where , and write . Contract the simplex toward its barycenter by . For each fixed , maps an open neighborhood of into , so is defined there. Apply the affine pullback rule [F13] on (with image ) to obtain distributionally. For , pull back to the reference simplex by the affine reference map; change of variables in the double integral and the fixed positive affine Jacobian bounds give equivalent local norms. Transfer the finite-chart reflection extension of step 1.2 to by the same affine change of variables. Euclidean smooth density [F2] then supplies functions smooth near with in . Put . For , changing variables , gives and , so these pullbacks are uniformly bounded on . The same change-of-variables estimate holds for every input in , so the pullback operator norms are uniformly bounded for . For a fixed smooth , and its Lipschitz constant tend uniformly to zero; the estimate and finiteness of that integral for give convergence in . Approximation and the uniform pullback bound therefore give . For , transfer the reference-simplex smooth density [F2] to using [F13]; its affine derivative rule and change of variables give a uniform pullback bound when , and smooth approximants converge under in , hence so does . By [F12], in , so there as well. For each fixed , choose by [F5] a smooth cutoff equal to one near . The weak product rule [F14] gives . The zero extension of belongs to : the fractional multiplier and separated-boundary estimates are those already proved in step 1.2, and for the product rule and compact support give the same conclusion. Its distributional divergence is the zero extension of : for a test function on , insert a cutoff equal to one near the compact support of and use the weak divergence identity in . This divergence is in . Mollify . The fractional density proof [F2] gives convergence in when ; the convergence follows from [F11] when . For a test function, the divergence of each mollification equals the mollification of : expand the convolution integral and use the distributional divergence identity; all integrals are absolutely integrable by [F15] on the compact supports, so Tonelli applied to the absolute values justifies the interchange in [F6]. By [F11], these divergences converge in . For small radii the cutoff is identically one throughout every convolution neighborhood of points of , so the smooth fields restrict to approximations of and on . Choose for each a radius small enough that both local errors are below . The resulting smooth converge to in and their divergences converge to in . This is convergence in the graph norm of .
Face-mean fluctuation. On the reference simplex, for , apply step 2.1 to and use step 1.1; the trace seminorm is unchanged by subtracting a constant. Since the face average is the best constant, For , take smooth and apply [F3] to with the vector field from step 1.3. Holder [F15] and [F8] give on the reference simplex; density and step 1.3 extend this to . The affine scaling factors in [F4] give the stated physical powers and . For , the full trace bound follows by applying step 2.1 to and adding the trace of the cell mean, . For , the full bound is step 1.3.
Green identity. For each smooth field from step 2.2 and smooth on a neighborhood of , [F3] applied to gives For arbitrary , transfer to the reference simplex by an affine map, using [F13] to get norm equivalence; approximate there by functions smooth near its closure using [F2], then compose with the inverse affine map. This gives smooth-near- approximants converging to in . Holder's inequality [F15] makes the volume products integrable, and the bounded traces of step 1.3 and [F15] justify passage in both volume terms and the trace pairings. Now pass to using step 2.2: the volume terms converge by and graph convergence, while the boundary terms converge by the trace estimate of step 2.1 applied to . Taking , , proves the asserted identity. Interior trace compatibility for a global H^1 function follows as follows. Approximate it in H^1(Ω) by smooth functions on Ω using [F7]. On each compact subfacet G in the relative interior of a shared facet F, G lies inside Ω, so each approximant is a single smooth function near G and its two restrictions have the same trace there. The bounded cell trace map of step 1.3 makes both traces converge in L^2(G); hence the limits agree on G. Exhaust the relative interior of F by countably many compact subfacets; the remaining facet boundary is a finite union of lower-dimensional affine faces and has (d−1)-measure zero by a grid cover. Thus the traces agree almost everywhere on F. For a boundary facet, approximate an H^1_0(Ω) function by smooth compactly supported functions and use the same trace bound to see its trace is zero.
For and a compact subfacet in the relative interior of an interior mesh facet, choose by [F9] a smooth cutoff supported in and equal to one near . The product extends by zero to : within the smooth multiplier estimate follows by splitting the difference as in step 1.2, and pairs across have one point a positive distance from the compact support. Approximate this extension in by smooth functions using [F9]. The trace estimate of step 2.1 on each incident simplex shows that both restrictions converge in to the same limit, because each approximant is one smooth function across . Exhaust the relative interior of the facet by a countable increasing sequence of compact subfacets. Its boundary is a finite union of lower-dimensional affine faces and has -dimensional measure zero by covering those faces with arbitrarily thin grids. The exceptional sets on the compact subfacets are null, so [F10] gives equality almost everywhere on the full facet.
Depends on
- Fractional Sobolev regularity on a simplex
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The Gagliardo--Slobodeckij space on Euclidean space
- Matching affine simplicial meshes and shape regularity
- Integer-order Sobolev spaces and their norms
- Zero-boundary Sobolev space as a norm closure
- Gauss–Green formula on an affine simplex
- The coordinate-direction form of the Slobodeckij seminorm
- Compactly supported smooth functions are dense in Slobodeckij spaces
- Smooth compactly supported functions of an open set are dense in $L^2$
- Complex translation, convolution, approximate identities, and mollification
- Compactly supported Sobolev functions extend by zero in every integer order
- Interior mollification commutes with weak derivatives
- Smooth functions are dense in finite-order Sobolev spaces on a reference simplex
- Test function cutoffs and euclidean localization
- Shape regularity controls affine simplex geometry
- Affine pullback of weak derivatives and Sobolev seminorms
- Weak Leibniz rule with a smooth factor
- Meyers–Serrin density on an arbitrary open set
- Poincare–Wirtinger inequality on a reference simplex
- A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions
- Finite and countable subadditivity of measures
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
- Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
- Holder's inequality for integrals, including the endpoint cases
Used by
- A zero-boundary solution below the CR trace regularity threshold Counterexample
- The Crouzeix–Raviart method for the homogeneous Poisson problem Definition
- The face-average Crouzeix–Raviart interpolant Definition
- Consistency bounds for the Crouzeix–Raviart Poisson method Lemma
- Local approximation by the face-average Crouzeix–Raviart interpolant Lemma
- The broken comparison expression is a norm Lemma
- L2 error estimate under a Dirichlet Poisson smoothing index Theorem
Dependency tree · two levels
140 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Jean-Luc Guermond, MATH 661 Fall 2025, Part VIII, Chapter 36, Crouzeix–Raviart approximation (standard reference, not scraped)
- Joachim Schöberl, Numerical Methods for Partial Differential Equations, Chapter 25, Non-conforming Finite Element Methods (standard reference, not scraped)