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Sobolev Duality and Structure

Duality, reflexivity, and the Sobolev scale

One of the main rewards of working with Sobolev spaces instead of the full distributional framework is that Sobolev spaces are Banach spaces, and for 1<p<1 < p < \infty, they are reflexive. This means that the entire duality machinery from the duality chapter (weak topology, weak-* topology, Banach–Alaoglu, weak compactness) applies directly, with no need for the inductive limit subtleties of D(Ω)\mathcal{D}'(\Omega).

The dual of W0k,p(Ω)W_0^{k,p}(\Omega)

Definition 1 (W0k,p(Ω)W_0^{k,p}(\Omega) and negative Sobolev spaces)

Let W0k,p(Ω)W_0^{k,p}(\Omega) denote the closure of Cc(Ω)C_c^\infty(\Omega) in Wk,p(Ω)W^{k,p}(\Omega). For 1<p<1 < p < \infty with conjugate exponent p=p/(p1)p' = p/(p-1), the negative Sobolev space is defined as the dual:

Wk,p(Ω):=(W0k,p(Ω)).W^{-k,p'}(\Omega) := \big(W_0^{k,p}(\Omega)\big)^*.

The duality pairing extends the distributional pairing: for TWk,p(Ω)T \in W^{-k,p'}(\Omega) and φCc(Ω)W0k,p(Ω)\varphi \in C_c^\infty(\Omega) \subset W_0^{k,p}(\Omega),

T,φWk,p×W0k,p=T,φD×D.\langle T, \varphi \rangle_{W^{-k,p'} \times W_0^{k,p}} = \langle T, \varphi \rangle_{\mathcal{D}' \times \mathcal{D}}.

So every element of Wk,pW^{-k,p'} is a distribution, but a tame one: it extends continuously from test functions to all of W0k,pW_0^{k,p}.

The distinction between W0k,p(Ω)W_0^{k,p}(\Omega) and Wk,p(Ω)W^{k,p}(\Omega) matters on bounded domains: W0k,pW_0^{k,p} encodes zero boundary conditions (it is the closure of compactly supported functions), while Wk,pW^{k,p} does not. On Rd\mathbb{R}^d, they coincide: W0k,p(Rd)=Wk,p(Rd)W_0^{k,p}(\mathbb{R}^d) = W^{k,p}(\mathbb{R}^d) because CcC_c^\infty is dense in Wk,pW^{k,p} on the whole space.

Concrete characterization

The dual characterization makes negative Sobolev spaces concrete. An element TWk,p(Ω)T \in W^{-k,p'}(\Omega) can always be written as

T,u=αkΩfαDαudx\langle T, u \rangle = \sum_{|\alpha| \leq k} \int_\Omega f_\alpha \, D^\alpha u \, dx

for some fαLp(Ω)f_\alpha \in L^{p'}(\Omega). Conversely, every such expression defines an element of Wk,pW^{-k,p'}. In other words:

Wk,p(Ω)={αkDαfα:fαLp(Ω)}W^{-k,p'}(\Omega) = \left\{ \sum_{|\alpha| \leq k} D^\alpha f_\alpha : f_\alpha \in L^{p'}(\Omega) \right\}

where the derivatives are taken in the distributional sense. This is a representation theorem analogous to the Riesz representation (Theorem 1): every continuous linear functional on W0k,pW_0^{k,p} comes from LpL^{p'} data, with the pairing mediated by distributional derivatives.

The Sobolev scale

Sobolev spaces fit into the distributional framework as a graded scale of increasingly regular subspaces of D(Ω)\mathcal{D}'(\Omega):

H2(Ω)H1(Ω)L2(Ω)H1(Ω)H2(Ω)\cdots \subset H^{-2}(\Omega) \subset H^{-1}(\Omega) \subset L^2(\Omega) \subset H^1(\Omega) \subset H^2(\Omega) \subset \cdots

The index ss measures regularity: positive ss means the function has ss derivatives in L2L^2; negative ss means the distribution is “mildly singular,” living s|s| levels below L2L^2.

Example 1 (The Dirac delta in the Sobolev scale)

The Dirac delta δD(Rd)\delta \in \mathcal{D}'(\mathbb{R}^d) is not in LpL^p for any pp, but it belongs to negative Sobolev spaces. In dimension dd with p=2p = 2, δHs(Rd)\delta \in H^{-s}(\mathbb{R}^d) for s>d/2s > d/2, because the Sobolev embedding theorem guarantees that pointwise evaluation is bounded on HsH^s when s>d/2s > d/2:

δ,φ=φ(0)CφHs.|\langle \delta, \varphi \rangle| = |\varphi(0)| \leq C \|\varphi\|_{H^s}.

In one dimension, δHs(R)\delta \in H^{-s}(\mathbb{R}) for s>1/2s > 1/2. In three dimensions, δHs(R3)\delta \in H^{-s}(\mathbb{R}^3) for s>3/2s > 3/2. The more singular the object, the further down the scale it lives.

Example 2 (Derivatives shift the scale)

Differentiation moves a distribution down the Sobolev scale: if uHs(Ω)u \in H^s(\Omega), then DαuHsα(Ω)D^\alpha u \in H^{s - |\alpha|}(\Omega). For instance:

  • If uH1u \in H^1, then uL2=H0u' \in L^2 = H^0.

  • If uL2u \in L^2, then uH1u' \in H^{-1}. The derivative exists as a distribution but is not a function.

  • The Heaviside function HL2(0,1)H \in L^2(0,1) has H=δ1/2H1(0,1)H' = \delta_{1/2} \in H^{-1}(0,1).

The Sobolev index precisely tracks how many derivatives a function can “afford” before leaving L2L^2.

The limits of the Sobolev scale

As kk increases, HkH^{-k} grows larger, containing increasingly singular distributions. It is natural to ask whether the union exhausts all of D(Ω)\mathcal{D}'(\Omega).

The inclusion

k=0Hk(Ω)D(Ω)\bigcup_{k=0}^\infty H^{-k}(\Omega) \subsetneq \mathcal{D}'(\Omega)

is strict. The Sobolev scale captures exactly the finite-order distributions. Distributions of infinite order (where the order of the continuity estimate grows without bound as the compact set KK expands) escape every level of the scale.

Example 3 (A distribution of infinite order)

On R\mathbb{R}, define

T=n=1δ(n)(xn).T = \sum_{n=1}^\infty \delta^{(n)}(x - n).

On a compact set containing x=nx = n, the term δ(n)(xn)\delta^{(n)}(x - n) requires knk \geq n derivatives of the test function. No single kk works for all compact sets, so THk(R)T \notin H^{-k}(\mathbb{R}) for any kk. But TD(R)T \in \mathcal{D}'(\mathbb{R}): for any test function φ\varphi (which has compact support), only finitely many terms in the sum are nonzero, so T,φ\langle T, \varphi \rangle is well-defined.

This is the precise sense in which D(Ω)\mathcal{D}'(\Omega) is larger than the Sobolev scale: it accommodates distributions whose singularity worsens without bound across the domain. For such objects, the inductive limit topology of D\mathcal{D} is genuinely necessary; no single Banach space in the scale can hold them.

In practice, distributions arising from PDE theory almost always have finite order (often order 2\leq 2), so the Sobolev scale is sufficient for most applications.

Reflexivity: weak and weak-* for free

Theorem 1 (Reflexivity of Sobolev spaces)

For 1<p<1 < p < \infty and k0k \geq 0, the spaces Wk,p(Ω)W^{k,p}(\Omega) and W0k,p(Ω)W_0^{k,p}(\Omega) are reflexive Banach spaces. In particular, Hk(Ω)=Wk,2(Ω)H^k(\Omega) = W^{k,2}(\Omega) is a reflexive Hilbert space.

For p=1p = 1 or p=p = \infty, the Sobolev spaces are not reflexive.

Proof 1

The map Φ:Wk,p(Ω)αkLp(Ω)\Phi : W^{k,p}(\Omega) \to \prod_{|\alpha| \leq k} L^p(\Omega) defined by Φ(u)=(Dαu)αk\Phi(u) = (D^\alpha u)_{|\alpha| \leq k} is an isometric embedding (by definition of the Sobolev norm). The product of reflexive spaces is reflexive, and LpL^p is reflexive for 1<p<1 < p < \infty. A closed subspace of a reflexive space is reflexive, so Wk,pW^{k,p} is reflexive.

Reflexivity means the canonical embedding J:Wk,p(Wk,p)J : W^{k,p} \to (W^{k,p})^{**} is surjective, so the double dual adds nothing new. This has immediate consequences from the duality chapter:

Corollary 1 (Weak compactness in Sobolev spaces)

For 1<p<1 < p < \infty:

  1. Banach–Alaoglu applies directly. The closed unit ball of Wk,p(Ω)W^{k,p}(\Omega) is weak-* compact in (Wk,p)=Wk,p(W^{-k,p'})^* = W^{k,p}. But because Wk,pW^{k,p} is reflexive, the weak and weak-* topologies coincide, so the ball is weakly compact.

  2. Every bounded sequence has a weakly convergent subsequence. If (un)(u_n) is bounded in Wk,p(Ω)W^{k,p}(\Omega), there exists a subsequence unjuu_{n_j} \rightharpoonup u in Wk,p(Ω)W^{k,p}(\Omega).

  3. Weak sequential completeness. Every weakly Cauchy sequence in Wk,p(Ω)W^{k,p}(\Omega) converges weakly.

This is the payoff: in D(Ω)\mathcal{D}'(\Omega), we needed the Montel property and the non-trivial inductive limit machinery to extract convergent subsequences. In Wk,pW^{k,p} for 1<p<1 < p < \infty, it is a direct consequence of reflexivity and Banach–Alaoglu, results we already proved in the duality chapter.

Remark 2 (The duality chapter toolkit, applied)

Here is how the duality chapter results specialize to Sobolev spaces:

Duality chapter resultSobolev space consequence
Weak topology σ(X,X)\sigma(X, X^*) is HausdorffWeak limits in Wk,pW^{k,p} are unique
Banach–Alaoglu: unit ball is weak-* compactBounded sets in Wk,pW^{k,p} are weakly precompact (1<p<1 < p < \infty)
Reflexive \Rightarrow weak = weak-*No need to distinguish weak and weak-* on Wk,pW^{k,p}
Weak convergence + compact operator \Rightarrow strong convergenceunuu_n \rightharpoonup u in H1H^1 \Rightarrow unuu_n \to u in L2L^2 (Rellich–Kondrachov)
Direct method: minimize over weakly compact setsExistence of PDE solutions by energy minimization in H1H^1

The last row is the reason Sobolev spaces exist: they are the Banach spaces where the direct method works. Reflexivity gives weak compactness (subsequences exist), Rellich–Kondrachov gives compact embedding (the subsequences converge strongly in a weaker norm), and weak lower semicontinuity of the energy functional closes the argument.

Why p=1p = 1 and p=p = \infty are different

For p=1p = 1, the Sobolev space Wk,1(Ω)W^{k,1}(\Omega) is not reflexive (just as L1L^1 is not reflexive). Its dual (W0k,1)(W_0^{k,1})^* contains measures and other singular objects. Bounded sequences in Wk,1W^{k,1} need not have weakly convergent subsequences. The direct method fails, and minimization problems over W1,1W^{1,1} require the theory of functions of bounded variation (BVBV) instead.

For p=p = \infty, the space Wk,(Ω)W^{k,\infty}(\Omega) is essentially the Lipschitz functions (for k=1k = 1), and its dual is again non-reflexive. The weak-* topology on (Wk,)(W^{k,\infty})^* does not coincide with the weak topology on Wk,W^{k,\infty}.

The range 1<p<1 < p < \infty is the sweet spot where duality theory works cleanly.