Sobolev inequality
Template:Short description In mathematics, there is in mathematical analysis a class of Sobolev inequalities, relating norms including those of Sobolev spaces. These are used to prove the Sobolev embedding theorem, giving inclusions between certain Sobolev spaces, and the Rellich–Kondrachov theorem showing that under slightly stronger conditions some Sobolev spaces are compactly embedded in others. They are named after Sergei Lvovich Sobolev.
Sobolev embedding theorem

Let Template:Math denote the Sobolev space consisting of all real-valued functions on Template:Math whose weak derivatives up to order Template:Mvar are functions in Template:Math. Here Template:Mvar is a non-negative integer and Template:Math. The first part of the Sobolev embedding theorem states that if Template:Math, Template:Math and Template:Math are two real numbers such that
(given , , and this is satisfied for some provided ), then
and the embedding is continuous: for every , one has , and
In the special case of Template:Math and Template:Math, Sobolev embedding gives
where Template:Math is the Sobolev conjugate of Template:Mvar, given by
and for every , one has and
This special case of the Sobolev embedding is a direct consequence of the Gagliardo–Nirenberg–Sobolev inequality. The result should be interpreted as saying that if a function in has one derivative in , then itself has improved local behavior, meaning that it belongs to the space where . (Note that , so that .) Thus, any local singularities in must be more mild than for a typical function in .

The second part of the Sobolev embedding theorem applies to embeddings in Hölder spaces Template:Math. If Template:Math and
with Template:Math then one has the embedding
In other words, for every and , one has , in addition,
This part of the Sobolev embedding is a direct consequence of Morrey's inequality. Intuitively, this inclusion expresses the fact that the existence of sufficiently many weak derivatives implies some continuity of the classical derivatives. If then for every .
In particular, as long as , the embedding criterion will hold with and some positive value of . That is, for a function on , if has derivatives in and , then will be continuous (and actually Hölder continuous with some positive exponent ).
Generalizations
Template:Further The Sobolev embedding theorem holds for Sobolev spaces Template:Math on other suitable domains Template:Mvar. In particular (Template:Harvnb; Template:Harvnb), both parts of the Sobolev embedding hold when
- Template:Mvar is a bounded open set in Template:Math with Lipschitz boundary (or whose boundary satisfies the cone condition; Template:Harvnb)
- Template:Mvar is a compact Riemannian manifold
- Template:Mvar is a compact Riemannian manifold with boundary and the boundary is Lipschitz (meaning that the boundary can be locally represented as a graph of a Lipschitz continuous function).
- Template:Mvar is a complete Riemannian manifold with injectivity radius Template:Math and bounded sectional curvature.
If Template:Mvar is a bounded open set in Template:Math with continuous boundary, then Template:Math is compactly embedded in Template:Math (Template:Harvnb).
Kondrachov embedding theorem
Template:Main article On a compact manifold Template:Math with Template:Math boundary, the Kondrachov embedding theorem states that if Template:Math andthen the Sobolev embedding
is completely continuous (compact).[1] Note that the condition is just as in the first part of the Sobolev embedding theorem, with the equality replaced by an inequality, thus requiring a more regular space Template:Math.
Gagliardo–Nirenberg–Sobolev inequality
Assume that Template:Mvar is a continuously differentiable real-valued function on Template:Math with compact support. Then for Template:Math there is a constant Template:Mvar depending only on Template:Mvar and Template:Mvar such that
with . The case is due to Sobolev[2] and the case to Gagliardo and Nirenberg independently.[3][4] The Gagliardo–Nirenberg–Sobolev inequality implies directly the Sobolev embedding
The embeddings in other orders on Template:Math are then obtained by suitable iteration.
Hardy–Littlewood–Sobolev lemma
Sobolev's original proof of the Sobolev embedding theorem relied on the following, sometimes known as the Hardy–Littlewood–Sobolev fractional integration theorem. An equivalent statement is known as the Sobolev lemma in Template:Harv. A proof is in Template:Harv.
Let Template:Math and Template:Math. Let Template:Math be the Riesz potential on Template:Math. Then, for Template:Mvar defined by
there exists a constant Template:Mvar depending only on Template:Mvar such that
If Template:Math, then one has two possible replacement estimates. The first is the more classical weak-type estimate:
where Template:Math. Alternatively one has the estimatewhere is the vector-valued Riesz transform, c.f. Template:Harv. The boundedness of the Riesz transforms implies that the latter inequality gives a unified way to write the family of inequalities for the Riesz potential.
The Hardy–Littlewood–Sobolev lemma implies the Sobolev embedding essentially by the relationship between the Riesz transforms and the Riesz potentials.
Morrey's inequality
Assume Template:Math. Then there exists a constant Template:Mvar, depending only on Template:Mvar and Template:Mvar, such that
for all Template:Math, where
Thus if Template:Math, then Template:Mvar is in fact Hölder continuous of exponent Template:Mvar, after possibly being redefined on a set of measure 0.
A similar result holds in a bounded domain Template:Mvar with Lipschitz boundary. In this case,
where the constant Template:Mvar depends now on Template:Math and Template:Mvar. This version of the inequality follows from the previous one by applying the norm-preserving extension of Template:Math to Template:Math. The inequality is named after Charles B. Morrey Jr.
General Sobolev inequalities
Let Template:Mvar be a bounded open subset of Template:Math, with a Template:Math boundary. (Template:Mvar may also be unbounded, but in this case its boundary, if it exists, must be sufficiently well-behaved.)
Assume Template:Math. Then we consider two cases:
In this case we conclude that Template:Math, where
We have in addition the estimate
- ,
the constant Template:Mvar depending only on Template:Math, and Template:Mvar.
Here, we conclude that Template:Mvar belongs to a Hölder space, more precisely:
where
We have in addition the estimate
the constant Template:Mvar depending only on Template:Math, and Template:Mvar. In particular, the condition guarantees that is continuous (and actually Hölder continuous with some positive exponent).
Case Template:Math
If , then Template:Mvar is a function of bounded mean oscillation and
for some constant Template:Mvar depending only on Template:Mvar.[5]Template:Rp This estimate is a corollary of the Poincaré inequality.
Nash inequality
The Nash inequality, introduced by Template:Harvs, states that there exists a constant Template:Math, such that for all Template:Math,
The inequality follows from basic properties of the Fourier transform. Indeed, integrating over the complement of the ball of radius Template:Mvar,
because . On the other hand, one has
which, when integrated over the ball of radius Template:Mvar gives
where Template:Math is the volume of the [[n sphere|Template:Mvar-ball]]. Choosing Template:Mvar to minimize the sum of (Template:EquationNote) and (Template:EquationNote) and applying Parseval's theorem:
gives the inequality.
In the special case of Template:Math, the Nash inequality can be extended to the Template:Math case, in which case it is a generalization of the Gagliardo-Nirenberg-Sobolev inequality (Template:Harvnb, Comments on Chapter 8). In fact, if Template:Mvar is a bounded interval, then for all Template:Math and all Template:Math the following inequality holds
where:
Logarithmic Sobolev inequality
The simplest of the Sobolev embedding theorems, described above, states that if a function in has one derivative in , then itself is in , where
We can see that as tends to infinity, approaches . Thus, if the dimension of the space on which is defined is large, the improvement in the local behavior of from having a derivative in is small ( is only slightly larger than ). In particular, for functions on an infinite-dimensional space, we cannot expect any direct analog of the classical Sobolev embedding theorems.
There is, however, a type of Sobolev inequality, established by Leonard Gross (Template:Harvnb) and known as a logarithmic Sobolev inequality, that has dimension-independent constants and therefore continues to hold in the infinite-dimensional setting. The logarithmic Sobolev inequality says, roughly, that if a function is in with respect to a Gaussian measure and has one derivative that is also in , then is in "-log", meaning that the integral of is finite. The inequality expressing this fact has constants that do not involve the dimension of the space and, thus, the inequality holds in the setting of a Gaussian measure on an infinite-dimensional space. It is now known that logarithmic Sobolev inequalities hold for many different types of measures, not just Gaussian measures.
Although it might seem as if the -log condition is a very small improvement over being in , this improvement is sufficient to derive an important result, namely hypercontractivity for the associated Dirichlet form operator. This result means that if a function is in the range of the exponential of the Dirichlet form operator—which means that the function has, in some sense, infinitely many derivatives in —then the function does belong to for some (Template:Harvnb Theorem 6).
References
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