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Sobolev space
In mathematics, a Sobolev space is a vector space of functions equipped with a norm that is a combination of L-norms of the function together with its derivatives up to a given order.
Sobolev space
In mathematics, a Sobolev space is a vector space of functions equipped with a norm that is a combination of L-norms of the function together with its derivatives up to a given order. The derivatives are understood in a suitable weak sense to make the space complete, i.e. a Banach space. Intuitively, a Sobolev space is a space of functions possessing sufficiently many derivatives for some application domain, such as partial differential equations, and equipped with a norm that measures both the size and regularity of a function.
Sobolev spaces are named after the Russian mathematician Sergei Sobolev. Their importance comes from the fact that weak solutions of some important partial differential equations exist in appropriate Sobolev spaces, even when there are no strong solutions in spaces of continuous functions with the derivatives understood in the classical sense.
Motivation
Throughout the article, \(\Omega\) is an open subset of \(\R^n.\)
There are many criteria for smoothness of mathematical functions. The most basic criterion may be that of continuity. A stronger notion of smoothness is that of differentiability (because functions that are differentiable are also continuous) and a yet stronger notion of smoothness is that the derivative also be continuous (these functions are said to be of class \(C^1\) — see Differentiability classes). Differentiable functions are important in many areas, and in particular for differential equations. In the twentieth century, however, it was observed that the space \(C^1\) (or \(C^2\), etc.) was not exactly the right space to study solutions of differential equations. The Sobolev spaces are the modern replacement for these spaces in which to look for solutions of partial differential equations.
Quantities or properties of the underlying model of the differential equation are usually expressed in terms of integral norms. A typical example is measuring the energy of a temperature or velocity distribution by an \(L^2\)-norm. It is therefore important to develop a tool for differentiating Lebesgue space functions.
The integration by parts formula yields that for every \(u\in C^k(\Omega)\), where \(k\) is a natural number, and for all infinitely differentiable functions with compact support \(\varphi \in C_c^{\infty}(\Omega),\)
\(\int_\Omega u\,D^{\alpha\!}\varphi\,dx=(-1)^{|\alpha|}\int_\Omega \varphi\, D^{\alpha\!} u\,dx,\)
where \(\alpha = (\alpha_{1}, ..., \alpha_{n})\) is a multi-index of order \(|\alpha|=k\) and we are using the notation:
\(D^{\alpha\!}f = \frac{\partial^{| \alpha |}\! f}{\partial x_{1}^{\alpha_{1}} \dots \partial x_{n}^{\alpha_{n}}}.\)
The left-hand side of this equation still makes sense if we assume \(u\) to be only locally integrable. If there exists a locally integrable function \(v\), such that
\(\int_\Omega u\,D^{\alpha\!}\varphi\;dx=(-1)^{|\alpha|}\int_\Omega \varphi \,v \;dx \qquad\text{for all }\varphi\in C_c^\infty(\Omega),\)
then we call \(v\) the weak \(\alpha\)-th partial derivative of \(u\). If there exists a weak \(\alpha\)-th partial derivative of \(u\), then it is uniquely defined almost everywhere, and thus it is uniquely determined as an element of a Lebesgue space. On the other hand, if \(u\in C^k(\Omega)\), then the classical and the weak derivative coincide. Thus, if \(v\) is a weak \(\alpha\)-th partial derivative of \(u\), we may denote it by \(D^\alpha u := v\).
\(u(x)=\begin{cases}
1+x & -1 \(v(x)=\begin{cases}
1 & -1 Condensed — the full section is in Wikipedia.
One-dimensional case
In the one-dimensional case the Sobolev space \(W^{k,p}(\R)\) for \(1 \le p \le \infty\) is defined as the subset of functions \(f\) in \(L^p(\R)\) such that \(f\) and its weak derivatives up to order \(k\) have a finite L norm. As mentioned above, some care must be taken to define derivatives in the proper sense. In the one-dimensional problem it is enough to assume that the \((k{-}1)\)-th derivative \(f^{(k-1)}\) is differentiable almost everywhere and is equal almost everywhere to the Lebesgue integral of its derivative (this excludes irrelevant examples such as Cantor's function).
With this definition, the Sobolev spaces admit a natural norm,
\(\|f\|_{k,p} = \left (\sum_{i=0}^k \left \|f^{(i)} \right \|_p^p \right)^{\frac{1}{p}} = \left (\sum_{i=0}^k \int \left |f^{(i)}(t) \right |^p\,dt \right )^{\frac{1}{p}}.\)
One can extend this to the case \(p = \infty\), with the norm then defined using the essential supremum by
\(\|f\|_{k,\infty} = \max_{i=0,\ldots,k} \left \|f^{(i)} \right \|_\infty = \max_{i=0,\ldots,k} \left(\text{ess}\, \sup_t \left |f^{(i)}(t) \right |\right).\)
Equipped with the norm \(\|\cdot\|_{k,p}, W^{k,p}\) becomes a Banach space. It turns out that it is enough to take only the first and last in the sequence, i.e., the norm defined by
\(\left \|f^{(k)} \right \|_p + \|f\|_p\)
is equivalent to the norm above (i.e., the induced topologies of the norms are the same).
Multidimensional case
The transition to multiple dimensions brings more difficulties, starting from the very definition. The requirement that \(f^{(k-1)}\) be the integral of \(f^{(k)}\) does not generalize, and the simplest solution is to consider derivatives in the sense of distribution theory.
A formal definition now follows. Let \(k \in \N, 1 \leqslant p \leqslant \infty.\) The Sobolev space \(W^{k,p}(\Omega)\) is defined to be the set of all functions \(f\) on \(\Omega\) such that for every multi-index \(\alpha\) with \(|\alpha|\leqslant k,\) the mixed partial derivative
\(f^{(\alpha)} = \frac{\partial^{| \alpha |\!} f}{\partial x_{1}^{\alpha_{1}} \dots \partial x_{n}^{\alpha_{n}}}\)
exists in the weak sense and is in \(L^p(\Omega),\) i.e.
\(\left \|f^{(\alpha)} \right \|_{L^{p}} < \infty.\)
That is, the Sobolev space \(W^{k,p}(\Omega)\) is defined as
\(W^{k,p}(\Omega) = \left \{ u \in L^p(\Omega) : D^{\alpha}u \in L^p(\Omega) \,\, \forall |\alpha| \leqslant k \right \}.\)
The natural number \(k\) is called the order of the Sobolev space \(W^{k,p}(\Omega).\)
There are several choices for a norm for \(W^{k,p}(\Omega).\) The following two are common and are equivalent in the sense of equivalence of norms:
\(\| u \|_{W^{k, p}(\Omega)} := \begin{cases} \left( \sum_{|\alpha | \leqslant k} \left \| D^{\alpha}u \right \|_{L^p(\Omega)}^p \right)^{\frac{1}{p}} & 1 \leqslant p < \infty; \\ \max_{| \alpha | \leqslant k} \left \| D^{\alpha}u \right \|_{L^{\infty}(\Omega)} & p = \infty; \end{cases}\)
and
\(\| u \|'_{W^{k, p}(\Omega)} := \begin{cases} \sum_{| \alpha | \leqslant k} \left \| D^{\alpha}u \right \|_{L^{p}(\Omega)} & 1 \leqslant p < \infty; \\ \sum_{| \alpha | \leqslant k} \left \| D^{\alpha}u \right \|_{L^{\infty}(\Omega)} & p = \infty. \end{cases}\)
Condensed — the full section is in Wikipedia.
Traces
Sobolev spaces are often considered when investigating partial differential equations. It is essential to consider boundary values of Sobolev functions. If \(u\in C(\Omega)\), those boundary values are described by the restriction \(u|_{\partial\Omega}.\) However, it is not clear how to describe values at the boundary for \(u\in W^{k,p}(\Omega),\) as the n-dimensional measure of the boundary is zero. The following theorem resolves the problem:
Trace theorem—Assume Ω is bounded with Lipschitz boundary. Then there exists a bounded linear operator \(T: W^{1,p}(\Omega)\to L^p(\partial\Omega)\) such that \[\begin{align} Tu &= u|_{\partial\Omega} && u\in W^{1,p}(\Omega)\cap C(\overline{\Omega}) \\ \|Tu\|_{L^p(\partial\Omega)}&\leqslant c(p,\Omega)\|u\|_{W^{1,p}(\Omega)} && u\in W^{1,p}(\Omega). \end{align}\]
Tu is called the trace of u. Roughly speaking, this theorem extends the restriction operator to the Sobolev space \(W^{1,p}(\Omega)\) for well-behaved Ω. Note that the trace operator T is in general not surjective, but for 1 < p < ∞ it maps continuously onto the Sobolev–Slobodeckij space \(W^{1-\frac{1}{p},p}(\partial\Omega).\)
Intuitively, taking the trace costs 1/p of a derivative. The functions u in W(Ω) with zero trace, i.e. Tu = 0, can be characterized by the equality
\(W_0^{1,p}(\Omega)= \left \{u\in W^{1,p}(\Omega): Tu=0 \right \},\)
where
\(W_0^{1,p}(\Omega):= \left \{u\in W^{1,p}(\Omega): \exists \{u_m\}_{m=1}^\infty\subset C_c^\infty(\Omega), \ \text{such that} \ u_m\to u \ \textrm{in} \ W^{1,p}(\Omega) \right \}.\)
In other words, for Ω bounded with Lipschitz boundary, trace-zero functions in \(W^{1,p}(\Omega)\) can be approximated by smooth functions with compact support.
Bessel potential spaces
For a natural number k and 1 < p < ∞ one can show (by using Fourier multipliers) that the space \(W^{k,p}(\R^n)\) can equivalently be defined as
\(W^{k,p}(\R^n) = H^{k,p}(\R^n) := \Big \{f \in L^p(\R^n) : \mathcal{F}^{-1} \Big[\big(1 + |\xi|^2\big)^{\frac{k}{2}}\mathcal{F}f \Big] \in L^p(\R^n) \Big \},\)
with the norm
\(\|f\|_{H^{k,p}(\R^n)} := \left\| \mathcal{F}^{-1} \Big[ \big(1 + |\xi|^2\big)^{\frac{k}{2}} \mathcal{F}f \Big] \right\|_{L^p(\R^n)}.\)
This motivates Sobolev spaces with non-integer order since in the above definition we can replace k by any real number s. The resulting spaces
\(H^{s,p}(\R^n) := \left \{f \in \mathcal S'(\R^n) : \mathcal{F}^{-1} \left [\big(1 + |\xi|^2 \big)^{\frac{s}{2}}\mathcal{F}f \right ] \in L^p(\R^n) \right \}\)
are called Bessel potential spaces (named after Friedrich Bessel). They are Banach spaces in general and Hilbert spaces in the special case p = 2.
For \(s \geq 0, H^{s,p}(\Omega)\) is the set of restrictions of functions from \(H^{s,p}(\R^n)\) to Ω equipped with the norm
\(\|f\|_{H^{s,p}(\Omega)} := \inf \left \{\|g\|_{H^{s,p}(\R^n)} : g \in H^{s,p}(\R^n), g|_{\Omega} = f \right \} .\)
Again, H(Ω) is a Banach space and in the case p = 2 a Hilbert space.
Using extension theorems for Sobolev spaces, it can be shown that also W(Ω) = H(Ω) holds in the sense of equivalent norms, if Ω a is domain with uniform C-boundary, k a natural number and 1 < p < ∞. By the embeddings
\(H^{k+1,p}(\R^n) \hookrightarrow H^{s',p}(\R^n) \hookrightarrow H^{s,p}(\R^n) \hookrightarrow H^{k,p}(\R^n), \quad k \leqslant s \leqslant s' \leqslant k+1\)
\(\left [ W^{k,p}(\R^n), W^{k+1,p}(\R^n) \right ]_\theta = H^{s,p}(\R^n),\)
\(1 \leqslant p \leqslant \infty, \ 0 < \theta < 1, \ s= (1-\theta)k + \theta (k+1)= k+\theta.\)
Condensed — the full section is in Wikipedia.
Sobolev–Slobodeckij spaces
Another approach to define fractional order Sobolev spaces arises from the idea to generalize the Hölder condition to the L-setting. For \(1 \leqslant p < \infty, \theta \in (0, 1)\) and \(f \in L^p(\Omega),\) the Slobodeckij seminorm (roughly analogous to the Hölder seminorm) is defined by
\([f]_{\theta, p, \Omega} :=\left(\int_{\Omega} \int_{\Omega} \frac{|f(x)-f(y)|^p}{|x-y|^{\theta p + n}} \; dx \; dy \right )^{\frac{1}{p}}.\)
Let s > 0 be not an integer and set \(\theta = s - \lfloor s \rfloor \in (0,1)\). Using the same idea as for the Hölder spaces, the Sobolev–Slobodeckij space \(W^{s,p}(\Omega)\) is defined as
\(W^{s,p}(\Omega) := \left\{f \in W^{\lfloor s \rfloor, p}(\Omega) : \sup_{|\alpha| = \lfloor s \rfloor} [D^\alpha f]_{\theta, p, \Omega} < \infty \right\}.\)
It is a Banach space for the norm
\(\|f \| _{W^{s, p}(\Omega)} := \|f\|_{W^{\lfloor s \rfloor,p}(\Omega)} + \sup_{|\alpha| = \lfloor s \rfloor} [D^\alpha f]_{\theta, p, \Omega}.\)
If \(\Omega\) is suitably regular in the sense that there exist certain extension operators, then also the Sobolev–Slobodeckij spaces form a scale of Banach spaces, i.e. one has the continuous injections or embeddings
\(W^{k+1,p}(\Omega) \hookrightarrow W^{s',p}(\Omega) \hookrightarrow W^{s,p}(\Omega) \hookrightarrow W^{k, p}(\Omega), \quad k \leqslant s \leqslant s' \leqslant k+1.\)
There are examples of irregular Ω such that \(W^{1,p}(\Omega)\) is not even a vector subspace of \(W^{s,p}(\Omega)\) for 0 < s < 1 (see Example 9.1 of )
From an abstract point of view, the spaces \(W^{s,p}(\Omega)\) coincide with the real interpolation spaces of Sobolev spaces, i.e. in the sense of equivalent norms the following holds:
\(W^{s,p}(\Omega) = \left (W^{k,p}(\Omega), W^{k+1,p}(\Omega) \right)_{\theta, p} , \quad k \in \N, s \in (k, k+1), \theta = s - \lfloor s \rfloor .\)
Sobolev–Slobodeckij spaces play an important role in the study of traces of Sobolev functions. They are special cases of Besov spaces.
\(\lim_{s \nearrow 1} \; (1 - s) \int_{\Omega} \int_{\Omega} \frac{|f(x)-f(y)|^p}{|x-y|^{s p + n}} \; dx \; dy = \frac{ 2 \pi^{\frac{n - 1}{2}} \Gamma (\frac{p + 1}{2})} {p \Gamma (\frac{p + n}{2})} \int_{\Omega} \vert \nabla f\vert^p;\)
\(\limsup_{s \nearrow 1}\; (1 - s) \int_{\Omega} \int_{\Omega} \frac{|f(x)-f(y)|^p}{|x-y|^{s p + n}} \; dx \; dy < \infty\)
Condensed — the full section is in Wikipedia.
Extension operators
If \(\Omega\) is a domain whose boundary is not too poorly behaved (e.g., if its boundary is a manifold, or satisfies the more permissive "cone condition") then there is an operator A mapping functions of \(\Omega\) to functions of \(\R^n\) such that:
- Au(x) = u(x) for almost every x in \(\Omega\) and
- \(A : W^{k,p}(\Omega) \to W^{k,p}(\R^n)\) is continuous for any 1 ≤ p ≤ ∞ and integer k.
We will call such an operator A an extension operator for \(\Omega.\)
Case of p = 2
Extension operators are the most natural way to define \(H^s(\Omega)\) for non-integer s (we cannot work directly on \(\Omega\) since taking Fourier transform is a global operation). We define \(H^s(\Omega)\) by saying that \(u \in H^s(\Omega)\) if and only if \(Au \in H^s(\R^n).\) Equivalently, complex interpolation yields the same \(H^s(\Omega)\) spaces so long as \(\Omega\) has an extension operator. If \(\Omega\) does not have an extension operator, complex interpolation is the only way to obtain the \(H^s(\Omega)\) spaces.
As a result, the interpolation inequality still holds.
Extension by zero
Like above, we define \(H^s_0(\Omega)\) to be the closure in \(H^s(\Omega)\) of the space \(C^\infty_c(\Omega)\) of infinitely differentiable compactly supported functions. Given the definition of a trace, above, we may state the following
Theorem—Let \(\Omega\) be uniformly C regular, m ≥ s and let P be the linear map sending u in \(H^s(\Omega)\) to \[\left.\left(u,\frac{du}{dn}, \dots, \frac{d^k u}{dn^k}\right)\right|_G\] where d/dn is the derivative normal to G, and k is the largest integer less than s. Then \(H^s_0\) is precisely the kernel of P.
If \(u\in H^s_0(\Omega)\) we may define its extension by zero \(\tilde u \in L^2(\R^n)\) in the natural way, namely
\(\tilde u(x)= \begin{cases} u(x) & x \in \Omega \\ 0 & \text{else} \end{cases}\)
Theorem—Let \(s > \tfrac{1}{2}.\) The map \(u \mapsto \tilde u\) is continuous into \(H^s(\R^n)\) if and only if s is not of the form \(n + \tfrac{1}{2}\) for n an integer.
For f ∈ L(Ω) its extension by zero,
\(Ef := \begin{cases} f & \textrm{on} \ \Omega, \\ 0 & \textrm{otherwise} \end{cases}\)
is an element of \(L^p(\R^n).\) Furthermore,
\(\| Ef \|_{L^p(\R^n)}= \| f \|_{L^p(\Omega)}.\)
In the case of the Sobolev space W(Ω) for 1 ≤ p ≤ ∞, extending a function u by zero will not necessarily yield an element of \(W^{1,p}(\R^n).\) But if Ω is bounded with Lipschitz boundary (e.g. ∂Ω is C), then for any bounded open set O such that Ω⊂⊂O (i.e. Ω is compactly contained in O), there exists a bounded linear operator
\(E: W^{1,p}(\Omega)\to W^{1,p}(\R^n),\)
such that for each \(u\in W^{1,p}(\Omega): Eu = u\) a.e. on Ω, Eu has compact support within O, and there exists a constant C depending only on p, Ω, O and the dimension n, such that
\(\| Eu \|_{W^{1,p}(\R^n)}\leqslant C \|u\|_{W^{1,p}(\Omega)}.\)
We call \(Eu\) an extension of \(u\) to \(\R^n.\)
Sobolev embeddings
It is a natural question to ask if a Sobolev function is continuous or even continuously differentiable. Roughly speaking, sufficiently many weak derivatives (i.e. large k) result in a classical derivative. This idea is generalized and made precise in the Sobolev embedding theorem.
Write \(W^{k,p}\) for the Sobolev space of some compact Riemannian manifold of dimension n. Here k can be any real number, and 1 ≤ p ≤ ∞. (For p = ∞ the Sobolev space \(W^{k,\infty}\) is defined to be the Hölder space C where k = n + α and 0 < α ≤ 1.) The Sobolev embedding theorem states that if \(k \geqslant m\) and \(k - \tfrac{n}{p} \geqslant m - \tfrac{n}{q}\) then
\(W^{k,p}\subseteq W^{m,q}\)
and the embedding is continuous. Moreover, if \(k > m\) and \(k - \tfrac{n}{p} > m - \tfrac{n}{q}\) then the embedding is completely continuous (this is sometimes called Kondrachov's theorem or the Rellich–Kondrachov theorem). Functions in \(W^{m,\infty}\) have all derivatives of order less than m continuous, so in particular this gives conditions on Sobolev spaces for various derivatives to be continuous. Informally these embeddings say that to convert an L estimate to a boundedness estimate costs 1/p derivatives per dimension.
There are similar variations of the embedding theorem for non-compact manifolds such as \(\R^n\) (Stein 1970). Sobolev embeddings on \(\R^n\) that are not compact often have a related, but weaker, property of cocompactness.
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