Inmathematics, aSobolev space is avector space of functions equipped with anorm that is a combination ofLp-norms of the function together with its derivatives up to a given order. The derivatives are understood in a suitableweak sense to make the spacecomplete, i.e. aBanach space. Intuitively, a Sobolev space is a space of functions possessing sufficiently many derivatives for some application domain, such aspartial differential equations, and equipped with a norm that measures both the size and regularity of a function.
Sobolev spaces are named after the RussianmathematicianSergei Sobolev. Their importance comes from the fact thatweak solutions of some important partial differential equations exist in appropriate Sobolev spaces, even when there are no strong solutions in spaces ofcontinuous functions with thederivatives understood in the classical sense.
In this section and throughout the article is anopen subset of
There are many criteria for smoothness ofmathematical functions. The most basic criterion may be that ofcontinuity. A stronger notion of smoothness is that ofdifferentiability (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 — seeDifferentiability classes). Differentiable functions are important in many areas, and in particular fordifferential equations. In the twentieth century, however, it was observed that the space (or, 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-norm. It is therefore important to develop a tool for differentiatingLebesgue space functions.
where is amulti-index of order and we are using the notation:
The left-hand side of this equation still makes sense if we assume to be onlylocally integrable. If there exists a locally integrable function, such that
then we call theweak-th partial derivative of. If there exists a weak-th partial derivative of, then it is uniquely definedalmost everywhere, and thus it is uniquely determined as an element of aLebesgue space. On the other hand, if, then the classical and the weak derivative coincide. Thus, if is a weak-th partial derivative of, we may denote it by.
For example, the function
is not continuous at zero, and not differentiable at −1, 0, or 1. Yet the function
satisfies the definition for being the weak derivative of which then qualifies as being in the Sobolev space (for any allowed, see definition below).
The Sobolev spaces combine the concepts of weak differentiability andLebesgue norms.
In the one-dimensional case the Sobolev space for is defined as the subset of functions in such that and itsweak derivatives up to order have a finiteLp 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-th derivative is differentiable almost everywhere and is equal almost everywhere to theLebesgue integral of its derivative (this excludes irrelevant examples such asCantor's function).
With this definition, the Sobolev spaces admit a naturalnorm,
One can extend this to the case, with the norm then defined using theessential supremum by
Equipped with the norm becomes aBanach space. It turns out that it is enough to take only the first and last in the sequence, i.e., the norm defined by
is equivalent to the norm above (i.e., theinduced topologies of the norms are the same).
Sobolev spaces withp = 2 are especially important because of their connection withFourier series and because they form aHilbert space. A special notation has arisen to cover this case, since the space is a Hilbert space:
The space can be defined naturally in terms ofFourier series whose coefficients decay sufficiently rapidly, namely,
where is the Fourier series of and denotes the 1-torus. As above, one can use the equivalent norm
Both representations follow easily fromParseval's theorem and the fact that differentiation is equivalent to multiplying the Fourier coefficient by.
Furthermore, the space admits aninner product, like the space In fact, the inner product is defined in terms of the inner product:
The space becomes a Hilbert space with this inner product.
In one dimension, some other Sobolev spaces permit a simpler description. For example, is the space ofabsolutely continuous functions on(0, 1) (or rather, equivalence classes of functions that are equal almost everywhere to such), while is the space of boundedLipschitz functions onI, for every intervalI. However, these properties are lost or not as simple for functions of more than one variable.
All spaces are (normed)algebras, i.e. the product of two elements is once again a function of this Sobolev space, which is not the case for (E.g., functions behaving like |x|−1/3 at the origin are in but the product of two such functions is not in).
The transition to multiple dimensions brings more difficulties, starting from the very definition. The requirement that be the integral of does not generalize, and the simplest solution is to consider derivatives in the sense ofdistribution theory.
A formal definition now follows. Let The Sobolev space is defined to be the set of all functions on such that for everymulti-index with the mixedpartial derivative
Thenatural number is called the order of the Sobolev space
There are several choices for a norm for The following two are common and are equivalent in the sense ofequivalence of norms:
and
With respect to either of these norms, is a Banach space. For is also aseparable space. It is conventional to denote by for it is aHilbert space with the norm.[1]
It is rather hard to work with Sobolev spaces relying only on their definition. It is therefore interesting to know that by theMeyers–Serrin theorem a function can be approximated bysmooth functions. This fact often allows us to translate properties of smooth functions to Sobolev functions. If is finite and is open, then there exists for any an approximating sequence of functions such that:
If hasLipschitz boundary, we may even assume that the are the restriction of smooth functions with compact support on all of[2]
In higher dimensions, it is no longer true that, for example, contains only continuous functions. For example, where is theunit ball in three dimensions. For, the space will contain only continuous functions, but for which this is already true depends both on and on the dimension. For example, as can be easily checked usingspherical polar coordinates for the function defined on then-dimensional unit ball we have:
Intuitively, the blow-up off at 0 "counts for less" whenn is large since the unit ball has "more outside and less inside" in higher dimensions.
Absolutely continuous on lines (ACL) characterization of Sobolev functions
Let If a function is in then, possibly after modifying the function on a set of measure zero, the restriction toalmost every line parallel to the coordinate directions in isabsolutely continuous; what's more, the classical derivative along the lines that are parallel to the coordinate directions are in Conversely, if the restriction of to almost every line parallel to the coordinate directions is absolutely continuous, then the pointwise gradient existsalmost everywhere, and is in provided In particular, in this case the weak partial derivatives of and pointwise partial derivatives of agree almost everywhere. The ACL characterization of the Sobolev spaces was established byOtto M. Nikodym (1933); see (Maz'ya 2011, §1.1.3).
A stronger result holds when A function in is, after modifying on a set of measure zero,Hölder continuous of exponent byMorrey's inequality. In particular, if and has Lipschitz boundary, then the function isLipschitz continuous.
The Sobolev space is also denoted by It is a Hilbert space, with an important subspace defined to be the closure of the infinitely differentiable functions compactly supported in in The Sobolev norm defined above reduces here to
When has a regular boundary, can be described as the space of functions in that vanish at the boundary, in the sense of traces (see below). When if is a bounded interval, then consists of continuous functions on of the form
where the generalized derivative is in and has 0 integral, so that
When is bounded, thePoincaré inequality states that there is a constant such that:
Sobolev spaces are often considered when investigating partial differential equations. It is essential to consider boundary values of Sobolev functions. If, those boundary values are described by the restriction However, it is not clear how to describe values at the boundary for as then-dimensional measure of the boundary is zero. The following theorem[2] resolves the problem:
Trace theorem—Assume Ω is bounded withLipschitz boundary. Then there exists a bounded linear operator such that
Tu is called the trace ofu. Roughly speaking, this theorem extends the restriction operator to the Sobolev space for well-behaved Ω. Note that thetrace operatorT is in general not surjective, but for 1 <p < ∞ it maps continuously onto the Sobolev–Slobodeckij space
Intuitively, taking the trace costs 1/p of a derivative. The functionsu inW1,p(Ω) with zero trace, i.e.Tu = 0, can be characterized by the equality
where
In other words, for Ω bounded with Lipschitz boundary, trace-zero functions in can be approximated by smooth functions with compact support.
For a natural numberk and1 <p < ∞ one can show (by usingFourier multipliers[3][4]) that the space can equivalently be defined as
with the norm
This motivates Sobolev spaces with non-integer order since in the above definition we can replacek by any real numbers. The resulting spaces
are called Bessel potential spaces[5] (named afterFriedrich Bessel). They are Banach spaces in general and Hilbert spaces in the special casep = 2.
For is the set of restrictions of functions from to Ω equipped with the norm
Again,Hs,p(Ω) is a Banach space and in the casep = 2 a Hilbert space.
Using extension theorems for Sobolev spaces, it can be shown that alsoWk,p(Ω) =Hk,p(Ω) holds in the sense of equivalent norms, if Ω is domain with uniformCk-boundary,k a natural number and1 <p < ∞. By theembeddings
the Bessel potential spaces form a continuous scale between the Sobolev spaces From an abstract point of view, the Bessel potential spaces occur as complexinterpolation spaces of Sobolev spaces, i.e. in the sense of equivalent norms it holds that
Another approach to define fractional order Sobolev spaces arises from the idea to generalize theHölder condition to theLp-setting.[6] For and theSlobodeckij seminorm (roughly analogous to the Hölder seminorm) is defined by
Lets > 0 be not an integer and set. Using the same idea as for theHölder spaces, theSobolev–Slobodeckij space[7] is defined as
It is a Banach space for the norm
If 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 orembeddings
There are examples of irregular Ω such that is not even a vector subspace of for 0 <s < 1 (see Example 9.1 of[8])
From an abstract point of view, the spaces coincide with the realinterpolation spaces of Sobolev spaces, i.e. in the sense of equivalent norms the following holds:
Sobolev–Slobodeckij spaces play an important role in the study of traces of Sobolev functions. They are special cases ofBesov spaces.[4]
The constant arising in the characterization of the fractional Sobolev space can be characterized through the Bourgain-Brezis-Mironescu formula:
and the condition
characterizes those functions of that are in the first-order Sobolev space.[9]
If is adomain 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 operatorA mapping functions of to functions of such that:
Au(x) =u(x) for almost everyx in and
is continuous for any 1 ≤p ≤ ∞ and integerk.
We will call such an operatorA an extension operator for
Extension operators are the most natural way to define for non-integers (we cannot work directly on since takingFourier transform is a global operation). We define by saying that if and only if Equivalently, complex interpolation yields the same spaces so long as has an extension operator. If does not have an extension operator, complex interpolation is the only way to obtain the spaces.
As a result, the interpolation inequality still holds.
Likeabove, we define to be the closure in of the space of infinitely differentiable compactly supported functions. Given the definition of a trace, above, we may state the following
Theorem—Let be uniformlyCm regular,m ≥s and letP be the linear map sendingu in towhered/dn is the derivative normal toG, andk is the largest integer less thans. Then is precisely the kernel ofP.
If we may define itsextension by zero in the natural way, namely
Theorem—Let The map is continuous into if and only ifs is not of the form forn an integer.
Forf ∈Lp(Ω) its extension by zero,
is an element of Furthermore,
In the case of the Sobolev spaceW1,p(Ω) for1 ≤ p ≤ ∞, extending a functionu by zero will not necessarily yield an element of But if Ω is bounded with Lipschitz boundary (e.g. ∂Ω isC1), 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[2]
such that for each a.e. on Ω,Eu has compact support within O, and there exists a constantC depending only onp, Ω, O and the dimensionn, such that
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. largek) result in a classical derivative. This idea is generalized and made precise in theSobolev embedding theorem.
Write for the Sobolev space of some compactRiemannian manifold of dimensionn. Herek can be anyreal number, and 1 ≤ p ≤ ∞. (Forp = ∞ the Sobolev space is defined to be theHölder spaceCn,α wherek = n + α and 0 < α ≤ 1.) The Sobolev embedding theorem states that if and then
and the embedding is continuous. Moreover, if and then the embedding is completely continuous (this is sometimes called Kondrachov's theorem or theRellich–Kondrachov theorem). Functions in have all derivatives of order less thanm continuous, so in particular this gives conditions on Sobolev spaces for various derivatives to be continuous. Informally these embeddings say that to convert anLp 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 (Stein 1970). Sobolev embeddings on that are not compact often have a related, but weaker, property ofcocompactness.
^Bessel potential spaces with variable integrability have been independently introduced by Almeida & Samko (A. Almeida and S. Samko, "Characterization ofRiesz andBessel potentials on variableLebesgue spaces", J. Function Spaces Appl. 4 (2006), no. 2, 113–144) and Gurka, Harjulehto & Nekvinda (P. Gurka, P. Harjulehto and A. Nekvinda: "Bessel potential spaces with variable exponent", Math. Inequal. Appl. 10 (2007), no. 3, 661–676).
^In the literature, fractional Sobolev-type spaces are also calledAronszajn spaces,Gagliardo spaces orSlobodeckij spaces, after the names of the mathematicians who introduced them in the 1950s:N. Aronszajn ("Boundary values of functions with finiteDirichlet integral", Techn. Report of Univ. of Kansas 14 (1955), 77–94), E. Gagliardo ("Proprietà di alcune classi di funzioni in più variabili",Ricerche Mat. 7 (1958), 102–137), and L. N. Slobodeckij ("Generalized Sobolev spaces and their applications to boundary value problems of partial differential equations", Leningrad.Gos. Ped. Inst. Učep. Zap. 197 (1958), 54–112).
^Bourgain, Jean;Brezis, Haïm; Mironescu, Petru (2001). "Another look at Sobolev spaces". In Menaldi, José Luis (ed.).Optimal control and partial differential equations. In honour of Professor Alain Bensoussan's 60th birthday. Proceedings of the conference, Paris, France, December 4, 2000. Amsterdam: IOS Press; Tokyo: Ohmsha. pp. 439–455.ISBN978-1-58603-096-4.
Adams, Robert A.; Fournier, John (2003) [1975].Sobolev Spaces. Pure and Applied Mathematics. Vol. 140 (2nd ed.). Boston, MA:Academic Press.ISBN978-0-12-044143-3..
Bergh, Jöran; Löfström, Jörgen (1976),Interpolation Spaces, An Introduction, Grundlehren der Mathematischen Wissenschaften, vol. 223, Springer-Verlag, pp. X + 207,ISBN978-7-5062-6011-4,MR0482275,Zbl0344.46071
Sobolev, S. L. (1963), "On a theorem of functional analysis",Eleven Papers on Analysis, American Mathematical Society Translations: Series 2, vol. 34, pp. 39–68,doi:10.1090/trans2/034/02,ISBN9780821817346{{citation}}:ISBN / Date incompatibility (help); translation of Mat. Sb., 4 (1938) pp. 471–497.
Sobolev, S.L. (1963),Some applications of functional analysis in mathematical physics, Amer. Math. Soc..