Sobolev inequality#Sobolev embedding theorem
{{short description|Theorem about inclusions between Sobolev spaces}}
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
File:Sobolev embedding theorem.svg
Let {{math|W k,p(Rn)}} denote the Sobolev space consisting of all real-valued functions on {{math|Rn}} whose weak derivatives up to order {{mvar|k}} are functions in {{math|Lp}}. Here {{mvar|k}} is a non-negative integer and {{math|1 ≤ p < ∞}}. The first part of the Sobolev embedding theorem states that if {{math|k > ℓ}}, {{math|p < n}} and {{math|1 ≤ p < q < ∞}} 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
:
\biggl(\int_{\mathbf{R}^n} \vert \nabla^\ell f\vert^q \biggr)^\frac{1}{q}
\le C \biggl(\int_{\mathbf{R}^n} \vert \nabla^k f\vert^p \biggr)^\frac{1}{p}.
In the special case of {{math|k {{=}} 1}} and {{math|ℓ {{=}} 0}}, Sobolev embedding gives
:
where {{math|p∗}} is the Sobolev conjugate of {{mvar|p}}, given by
:
and for every , one has
and
:
\biggl(\int_{\mathbf{R}^n} \vert f\vert^{p^*} \biggr)^{\frac{1}{p^*}}
\le C \biggl(\int_{\mathbf{R}^n} \vert \nabla f\vert^p \biggr)^{\frac{1}{p}}.
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 .
File:Sobolev embedding theorem (Morrey case).svg
The second part of the Sobolev embedding theorem applies to embeddings in Hölder spaces {{math|C r,α(Rn)}}. If {{math|n < pk}} and
:
with {{math|α ∈ (0, 1)}} then one has the embedding
:
In other words, for every and , one has , in addition,
:
\vert \nabla^r f (x) - \nabla^r f (y) \vert
\le C \biggl(\int_{\mathbf{R}^n} \vert \nabla^k f \vert^p\biggr)^\frac{1}{p} \vert x - y \vert^\alpha.
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=
{{Further|Souček space}}
The Sobolev embedding theorem holds for Sobolev spaces {{math|W k,p(M)}} on other suitable domains {{mvar|M}}. In particular ({{harvnb|Aubin|1982|loc=Chapter 2}}; {{harvnb|Aubin|1976}}), both parts of the Sobolev embedding hold when
- {{mvar|M}} is a bounded open set in {{math|Rn}} with Lipschitz boundary (or whose boundary satisfies the cone condition; {{harvnb|Adams|1975|loc=Theorem 5.4}})
- {{mvar|M}} is a compact Riemannian manifold
- {{mvar|M}} 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).
- {{mvar|M}} is a complete Riemannian manifold with injectivity radius {{math|δ > 0}} and bounded sectional curvature.
If {{mvar|M}} is a bounded open set in {{math|Rn}} with continuous boundary, then {{math|W 1,2(M)}} is compactly embedded in {{math|L2(M)}} ({{harvnb|Nečas|2012|loc=Section 1.1.5, Theorem 1.4}}).
=Kondrachov embedding theorem=
{{main article|Rellich–Kondrachov theorem}}
On a compact manifold {{math|M}} with {{math|C1}} boundary, the Kondrachov embedding theorem states that if {{math|k > ℓ}} andthen the Sobolev embedding
:
is completely continuous (compact).{{cite book | author=Taylor, Michael E. | title=Partial Differential Equations I - Basic Theory | year=1997 | edition=2nd | isbn=0-387-94653-5 | page=286}} 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 {{math|W k,p(M)}}.
Gagliardo–Nirenberg–Sobolev inequality
Assume that {{mvar|u}} is a continuously differentiable real-valued function on {{math|Rn}} with compact support. Then for {{math|1 ≤ p < n}} there is a constant {{mvar|C}} depending only on {{mvar|n}} and {{mvar|p}} such that
:
with .
The case is due to Sobolev{{cite journal |last1=Sobolev |first1=Sergeĭ L’vovich |title=Sur un théorème de l'analyse fonctionnelle |journal=Comptes Rendus (Doklady) de l'Académie des Sciences de l'URSS |series=Nouvelle Série |date=1938 |volume=20 |pages=5–9}} and the case to Gagliardo and Nirenberg independently.{{cite journal |last1=Gagliardo |first1=Emilio |title=Proprietà di alcune classi di funzioni in più variabili |journal=Ricerche di Matematica |date=1958 |volume=7 |pages=102–137}}{{cite journal |last1=Nirenberg |first1=Louis |title=On elliptic partial differential equations |journal=Annali della Scuola Normale Superiore di Pisa. Classe di Scienze. Serie III |date=1959 |volume=13 |pages=115–162}} The Gagliardo–Nirenberg–Sobolev inequality implies directly the Sobolev embedding
:
The embeddings in other orders on {{math|Rn}} 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 {{harv|Aubin|1982|loc=Chapter 2}}. A proof is in {{harv|Stein|1970|loc=Chapter V, §1.3}}.
Let {{math|0 < α < n}} and {{math|1 < p < q < ∞}}. Let {{math|Iα {{=}} (−Δ)−α/2}} be the Riesz potential on {{math|Rn}}. Then, for {{mvar|q}} defined by
:
there exists a constant {{mvar|C}} depending only on {{mvar|p}} such that
:
If {{math|p {{=}} 1}}, then one has two possible replacement estimates. The first is the more classical weak-type estimate:
:
where {{math|1/q {{=}} 1 − α/n}}. Alternatively one has the estimatewhere is the vector-valued Riesz transform, cf. {{harv|Schikorra | Spector | Van Schaftingen|2017}}. 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 {{math|n < p ≤ ∞}}. Then there exists a constant {{mvar|C}}, depending only on {{mvar|p}} and {{mvar|n}}, such that
:
for all {{math|u ∈ C1(Rn) ∩ Lp(Rn)}}, where
:
Thus if {{math|u ∈ W 1,p(Rn)}}, then {{mvar|u}} is in fact Hölder continuous of exponent {{mvar|γ}}, after possibly being redefined on a set of measure 0.
A similar result holds in a bounded domain {{mvar|U}} with Lipschitz boundary. In this case,
:
where the constant {{mvar|C}} depends now on {{math|n, p}} and {{mvar|U}}. This version of the inequality follows from the previous one by applying the norm-preserving extension of {{math|W 1,p(U)}} to {{math|W 1,p(Rn)}}. The inequality is named after Charles B. Morrey Jr.
General Sobolev inequalities
Let {{mvar|U}} be a bounded open subset of {{math|Rn}}, with a {{math|C1}} boundary. ({{mvar|U}} may also be unbounded, but in this case its boundary, if it exists, must be sufficiently well-behaved.)
Assume {{math|u ∈ W k,p(U)}}. Then we consider two cases:
={{math|''k'' < ''n''/''p''}} or {{math|''k'' {{=}} ''n''}}, {{math|''p'' {{=}} 1}}=
In this case we conclude that {{math|u ∈ Lq(U)}}, where
:
We have in addition the estimate
:,
the constant {{mvar|C}} depending only on {{math|k, p, n}}, and {{mvar|U}}.
={{math|''k'' > ''n''/''p''}}=
Here, we conclude that {{mvar|u}} belongs to a Hölder space, more precisely:
:
where
:
\left[\frac{n}{p}\right]+1-\frac{n}{p} & \frac{n}{p} \notin \mathbf{Z} \\
\text{any element in } (0, 1) & \frac{n}{p} \in \mathbf{Z}
\end{cases}
We have in addition the estimate
:
the constant {{mvar|C}} depending only on {{math|k, p, n, γ}}, and {{mvar|U}}. In particular, the condition guarantees that is continuous (and actually Hölder continuous with some positive exponent).
Case {{math|1=''p''=''n'', ''k''=1}}
If , then {{mvar|u}} is a function of bounded mean oscillation and
:
for some constant {{mvar|C}} depending only on {{mvar|n}}.{{cite journal |last1=Brezis |first1=H. |last2=Nirenberg |first2=L. |title=Degree theory and BMO; part I: Compact manifolds without boundaries |journal=Selecta Mathematica |date=September 1995 |volume=1 |issue=2 |pages=197–263 |doi=10.1007/BF01671566|s2cid=195270732 }}{{rp|§I.2}} This estimate is a corollary of the Poincaré inequality.
Nash inequality
The Nash inequality, introduced by {{harvs|first=John|last=Nash|authorlink=John Forbes Nash, Jr.|year=1958|txt}}, states that there exists a constant {{math|C > 0}}, such that for all {{math|u ∈ L1(Rn) ∩ W 1,2(Rn)}},
:
The inequality follows from basic properties of the Fourier transform. Indeed, integrating over the complement of the ball of radius {{mvar|ρ}},
{{NumBlk|:||{{EquationRef|1}}}}
because . On the other hand, one has
:
which, when integrated over the ball of radius {{mvar|ρ}} gives
{{NumBlk|:||{{EquationRef|2}}}}
where {{math|ωn}} is the volume of the n sphere. Choosing {{mvar|ρ}} to minimize the sum of ({{EquationNote|1}}) and ({{EquationNote|2}}) and applying Parseval's theorem:
:
gives the inequality.
In the special case of {{math|n {{=}} 1}}, the Nash inequality can be extended to the {{math|Lp}} case, in which case it is a generalization of the Gagliardo-Nirenberg-Sobolev inequality ({{harvnb|Brezis|2011}}, Comments on Chapter 8). In fact, if {{mvar|I}} is a bounded interval, then for all {{math|1 ≤ r < ∞}} and all {{math|1 ≤ q ≤ p < ∞}} the following inequality holds
:
where:
:
Logarithmic Sobolev inequality
{{main|Logarithmic Sobolev inequalities}}
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 ({{harvnb|Gross|1975}}) 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 ({{harvnb|Gross|1975}} Theorem 6).
References
{{reflist}}
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{{Functional analysis}}