Even reflection across a hyperplane preserves weak differentiability #
Let H = normalHalfSpace a = {x | a < x.fst} in the Euclidean product ℝ × E, and let
ρ (t, y) = (2a - t, y) be the reflection in its boundary hyperplane {a} × E. If w is weakly
differentiable on H with weak gradient G, and w and G are locally integrable up to the
boundary (we extend them by zero off H), then the even reflection
x ↦ w x + w (ρ x)
is weakly differentiable on the whole space, with weak gradient x ↦ G x + R (G (ρ x)), where
R (s, z) = (-s, z) is the linear part of ρ. No boundary condition on w is needed: the
reflection is what makes the two one-sided traces match. This is the analytic content of the
extension operator W^{1,p}(H) → W^{1,p}(ℝ × E) constructed in
TauCeti.Analysis.Sobolev.Trace.Extension.
The proof follows H. Brezis, Functional Analysis, Sobolev Spaces and Partial Differential
Equations, Lemma 9.2. A test function φ on the whole space is tested against the even
reflection; after the change of variables x ↦ ρ x this becomes the pairing of w on H with
χ = φ ± φ ∘ ρ, where the sign is + for directions tangent to the boundary and - for the
normal direction. Such a χ is not supported inside H, so it is multiplied by cutoffs
η_n (x.fst) vanishing near the boundary. In tangential directions the cutoff commutes with
differentiation. In the normal direction χ vanishes on the boundary, so |χ| ≤ M (x.fst - a)
there, which exactly compensates the size O(n) of η_n' on its support of width O(1/n).
Dominated convergence then passes to the limit.
Main declarations #
TauCeti.normalLinearReflection: the linear reflection(t, y) ↦ (-t, y), which is Mathlib'sSubmodule.reflectionin the hyperplane{0} × E.TauCeti.normalReflection: the affine reflection(t, y) ↦ (2a - t, y)in{a} × E, with its measure preservation and derivative.TauCeti.gradient_normalReflection_of_forall_eq_neg: the gradient of a function odd under the normal reflectionρsatisfies∇h (ρ x) = -R (∇h x), whereRis the linear part ofρ.TauCeti.integrableOn_of_integrableOn_inter_normalHalfSpaceandTauCeti.setIntegral_eq_two_smul_setIntegral_inter_normalHalfSpace: a reflection-invariant function on a reflection-invariant set is integrable there as soon as it is integrable on the half inH, and its integral is twice the integral over that half.TauCeti.normalCutoff: the smooth cutoffσ(c (x.fst - a) - 1)of the normal coordinate, supported a positive distance inside the half-space, with the common boundTauCeti.exists_normalCutoff_boundon it and its gradient.TauCeti.tendsto_integral_normalCutoff_mulandTauCeti.tendsto_integral_mul_fderiv_normalCutoff_apply: the two limits behind integration by parts up to the boundary. Multiplying by the cutoffs does not change integrals over the half-space in the limit, and the error from differentiating them vanishes against a function that is zero on the boundary.TauCeti.HasWeakFDerivOn.add_comp_normalReflection: the even reflection of a weakly differentiable function on the half-space is weakly differentiable on the whole space.TauCeti.HasWeakLineDerivOn.top_of_normalHalfSpace: in a direction tangent to the boundary, the extension by zero of a weakly differentiable function on the half-space is weakly differentiable on the whole space.TauCeti.HasWeakFDerivOn.hasWeakLineDerivOn_sub_comp_normalReflection: in a direction tangent to the boundary, the odd reflection is weakly differentiable on the whole space.TauCeti.HasWeakFDerivOn.comp_normalReflection: precomposition with the reflection on the whole space.
References #
H. Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations, Lemma 9.2.
The reflection in the boundary hyperplane #
The linear reflection (t, y) ↦ (-t, y) of the Euclidean product ℝ × E in the hyperplane
{0} × E, the kernel of the normal coordinate. It transforms the gradient of a function under
TauCeti.normalReflection.
Instances For
The linear normal reflection negates the normal coordinate.
The linear normal reflection is an involution.
The linear normal reflection is its own inverse.
The linear normal reflection is self-adjoint.
The reflection R reverses the normal direction ν = (1, 0).
The reflection R fixes every tangential direction τ y = (0, y).
Pairing w - R w' with the normal direction ν = (1, 0) adds the normal components of w
and w'.
Pairing w - R w' with a tangential direction τ y = (0, y) subtracts the tangential
components of w' from those of w.
The reflection (t, y) ↦ (2a - t, y) of the Euclidean product ℝ × E in the hyperplane
{a} × E, the boundary of TauCeti.normalHalfSpace a. Its linear part is
TauCeti.normalLinearReflection.
Instances For
The normal reflection in {a} × E replaces the normal coordinate t by 2a - t.
The normal reflection is an involution.
The normal reflection is its own inverse.
The fixed points of the normal reflection in {a} × E are the points of that hyperplane.
The normal reflection in {a} × E exchanges the open half-spaces on either side.
The normal reflection in {a} × E is its linear part TauCeti.normalLinearReflection
followed by the translation by (2a, 0).
The derivative of the normal reflection is its linear part.
The normal reflection is smooth.
Gradients of odd functions. Let h be odd under the reflection ρ in {a} × E on an
open set U, that is h (ρ x) = -h x for x ∈ U. If h is differentiable at ρ x, then its
gradient transforms by minus the linear part R of ρ: ∇h (ρ x) = -R (∇h x). The normal
component of ∇h is therefore even under ρ and its tangential components are odd.
The normal reflection in {a} × E maps every ball centred on that hyperplane into itself.
The normal reflection preserves Lebesgue measure.
Change of variables by the normal reflection: integrals against Lebesgue measure are invariant under it.
Precomposition with the normal reflection preserves local integrability.
A function invariant under the normal reflection ρ on a measurable set U mapped into
itself by ρ is integrable on U as soon as it is integrable on the half U ∩ H.
Integrals of reflection-invariant functions. If U is a measurable set mapped into
itself by the normal reflection ρ in {a} × E, for instance a ball centred on that hyperplane,
and g is integrable on U ∩ H and invariant under ρ on U, then the integral of g over U
is twice its integral over U ∩ H.
Two continuous linear endomorphisms agree as soon as their pairings agree with the normal direction on every vector and with the tangential directions on the normal and tangential directions.
Cutoffs vanishing near the boundary hyperplane #
The boundary-layer cutoff x ↦ σ(c (x.fst - a) - 1) of slope c in the normal coordinate,
where σ is Real.smoothTransition. For 0 < c it vanishes when x.fst ≤ a + 1 / c and is one
when x.fst ≥ a + 2 / c, so it is supported a positive distance inside the half-space
TauCeti.normalHalfSpace a.
Instances For
The boundary-layer cutoff is smooth.
The derivative of the boundary-layer cutoff is σ'(c (x.fst - a) - 1) c times the normal
coordinate.
For a positive slope c, the boundary-layer cutoff has topological support inside the
half-space TauCeti.normalHalfSpace a.
The boundary-layer cutoff and its gradient are bounded by a common constant.
Integration by parts up to the boundary #
Multiplying by the boundary cutoffs of slope n + 1 does not change, in the limit n → ∞,
the integral of an integrable function vanishing off the half-space.
The boundary-layer error vanishes in the limit. Let G be a locally integrable vector
field, and let χ be smooth with compact support and vanishing on the
boundary hyperplane {a} × E. Then ∫ χ ⟪∇η_n, G⟫ → 0 as n → ∞, where η_n is the boundary
cutoff of slope n + 1, even though ∇η_n grows like n on the boundary layer.
Even reflection across the boundary of a half-space preserves weak differentiability.
Let w have weak gradient G on the half-space {x | a < x.fst}, with w and G vanishing
off the half-space and locally integrable on the whole space (so integrable up to the boundary on
bounded sets). Then x ↦ w x + w (ρ x), where ρ is the reflection in the boundary hyperplane,
is weakly differentiable on the whole space with weak gradient x ↦ G x + R (G (ρ x)), R the
linear part of ρ. No boundary condition on w is assumed.
Extension by zero in a tangential direction. Let w have weak derivative w' on the
half-space {x | a < x.fst} in a direction v tangent to the boundary hyperplane, with w and
w' vanishing off the half-space and locally integrable on the whole space. Then w' is a weak
derivative of w in the direction v on the whole space. No boundary condition on w is needed:
integration by parts in a tangential direction produces no boundary term.
Odd reflection in a tangential direction. Let w have weak gradient G on the
half-space {x | a < x.fst}, with w and G vanishing off the half-space and locally integrable
on the whole space. Then, in every direction d tangent to the boundary hyperplane, the odd
reflection x ↦ w x - w (ρ x) is weakly differentiable on the whole space, with weak derivative
x ↦ ⟪G x - R (G (ρ x)), d⟫. No boundary condition on w is assumed; in the normal direction
the odd reflection is weakly differentiable only when w has zero trace.
Precomposition with the reflection on the whole space. If w has weak gradient G on
the whole space, then w ∘ ρ has weak gradient x ↦ R (G (ρ x)), where ρ is the reflection in
{a} × E and R its linear part.