Interpolation space

Short description: Vector space in mathematics

In the field of mathematical analysis, an interpolation space is a space which lies "in between" two other Banach spaces. The main applications are in Sobolev spaces, where spaces of functions that have a noninteger number of derivatives are interpolated from the spaces of functions with integer number of derivatives.

## Contents

* 1 History
* 2 The setting of interpolation
* 3 Complex interpolation
* 4 Real interpolation
* 4.1 K-method
* 4.1.1 Example
* 4.2 J-method
* 4.3 Relations between the interpolation methods
* 4.3.1 Examples
* 5 The reiteration theorem
* 6 Duality
* 7 Discrete definitions
* 7.1 A general interpolation method
* 8 Interpolation of Sobolev and Besov spaces
* 9 See also
* 10 Notes
* 11 References

## History

The theory of interpolation of vector spaces began by an observation of Józef Marcinkiewicz, later generalized and now known as the Riesz-Thorin theorem. In simple terms, if a linear function is continuous on a certain space Lp and also on a certain space Lq, then it is also continuous on the space Lr, for any intermediate r between p and q. In other words, Lr is a space which is intermediate between Lp and Lq.

In the development of Sobolev spaces, it became clear that the trace spaces were not any of the usual function spaces (with integer number of derivatives), and Jacques-Louis Lions discovered that indeed these trace spaces were constituted of functions that have a noninteger degree of differentiability.

Many methods were designed to generate such spaces of functions, including the Fourier transform, complex interpolation,[1] real interpolation,[2] as well as other tools (see e.g. fractional derivative).

## The setting of interpolation

A Banach space X is said to be continuously embedded in a Hausdorff topological vector space Z when X is a linear subspace of Z such that the inclusion map from X into Z is continuous. A compatible couple (X0, X1) of Banach spaces consists of two Banach spaces X0 and X1 that are continuously embedded in the same Hausdorff topological vector space Z.[3] The embedding in a linear space Z allows to consider the two linear subspaces

X0∩X1

and

X0+X1={z∈Z:z=x0+x1, x0∈X0,x1∈X1}.

Interpolation does not depend only upon the isomorphic (nor isometric) equivalence classes of X0 and X1. It depends in an essential way from the specific relative position that X0 and X1 occupy in a larger space Z.

One can define norms on X0 ∩ X1 and X0 \+ X1 by

‖x‖X0∩X1:=max⁡(‖x‖X0,‖x‖X1),
‖x‖X0+X1:=inf⁡{‖x0‖X0+‖x1‖X1 : x=x0+x1,x0∈X0,x1∈X1}.

Equipped with these norms, the intersection and the sum are Banach spaces. The following inclusions are all continuous:

X0∩X1⊂X0, X1⊂X0+X1.

Interpolation studies the family of spaces X that are intermediate spaces between X0 and X1 in the sense that

X0∩X1⊂X⊂X0+X1,

where the two inclusions maps are continuous.

An example of this situation is the pair (L1(R), L∞(R)), where the two Banach spaces are continuously embedded in the space Z of measurable functions on the real line, equipped with the topology of convergence in measure. In this situation, the spaces Lp(R), for 1 ≤ p ≤ ∞ are intermediate between L1(R) and L∞(R). More generally,

Lp0(𝐑)∩Lp1(𝐑)⊂Lp(𝐑)⊂Lp0(𝐑)+Lp1(𝐑), when 1≤p0≤p≤p1≤∞,

with continuous injections, so that, under the given condition, Lp(R) is intermediate between Lp0(R) and Lp1(R).

Definition. Given two compatible couples (X0, X1) and (Y0, Y1), an interpolation pair is a couple (X, Y) of Banach spaces with the two following properties:

* The space X is intermediate between X0 and X1, and Y is intermediate between Y0 and Y1.
* If L is any linear operator from X0 \+ X1 to Y0 \+ Y1, which maps continuously X0 to Y0 and X1 to Y1, then it also maps continuously X to Y.

The interpolation pair (X, Y) is said to be of exponent θ (with 0 < θ < 1) if there exists a constant C such that

‖L‖X,Y≤C‖L‖X0,Y01−θ‖L‖X1,Y1θ

for all operators L as above. The notation ||L||X,Y is for the norm of L as a map from X to Y. If C = 1, we say that (X, Y) is an exact interpolation pair of exponent θ.

## Complex interpolation

If the scalars are complex numbers, properties of complex analytic functions are used to define an interpolation space. Given a compatible couple (X0, X1) of Banach spaces, the linear space ℱ(X0,X1) consists of all functions  f : C → X0 \+ X1, that are analytic on S = {z : 0 < Re(z) < 1}, continuous on S = {z : 0 ≤ Re(z) ≤ 1}, and for which all the following subsets are bounded:

{ f (z) : z ∈ S} ⊂ X0 \+ X1,
{ f (it) : t ∈ R} ⊂ X0,
{ f (1 + it) : t ∈ R} ⊂ X1.

ℱ(X0,X1) is a Banach space under the norm

‖f‖ℱ(X0,X1)=max⁡{supt∈𝐑‖f(it)‖X0,supt∈𝐑‖f(1+it)‖X1}.

Definition.[4] For 0 < θ < 1, the complex interpolation space (X0, X1)θ is the linear subspace of X0 \+ X1 consisting of all values f(θ) when f varies in the preceding space of functions,

(X0,X1)θ={x∈X0+X1:x=f(θ),f∈ℱ(X0,X1)}.

The norm on the complex interpolation space (X0, X1)θ is defined by

‖x‖θ=inf⁡{‖f‖ℱ(X0,X1) : f(θ)=x,f∈ℱ(X0,X1)}.

Equipped with this norm, the complex interpolation space (X0, X1)θ is a Banach space.

Theorem.[5] Given two compatible couples of Banach spaces (X0, X1) and (Y0, Y1), the pair ((X0, X1)θ, (Y0, Y1)θ) is an exact interpolation pair of exponent θ, i.e., if T : X0 \+ X1 → Y0 \+ Y1, is a linear operator bounded from Xj to Yj, j = 0, 1, then T is bounded from (X0, X1)θ to (Y0, Y1)θ and ‖T‖θ≤‖T‖01−θ‖T‖1θ.

The family of Lp spaces (consisting of complex valued functions) behaves well under complex interpolation.[6] If (R, Σ, μ) is an arbitrary measure space, if 1 ≤ p0, p1 ≤ ∞ and 0 < θ < 1, then

(Lp0(R,Σ,μ),Lp1(R,Σ,μ))θ=Lp(R,Σ,μ),1p=1−θp0+θp1,

with equality of norms. This fact is closely related to the Riesz–Thorin theorem.

## Real interpolation

There are two ways for introducing the real interpolation method. The first and most commonly used when actually identifying examples of interpolation spaces is the K-method. The second method, the J-method, gives the same interpolation spaces as the K-method when the parameter θ is in (0, 1). That the J- and K-methods agree is important for the study of duals of interpolation spaces: basically, the dual of an interpolation space constructed by the K-method appears to be a space constructed from the dual couple by the J-method; see below.

### K-method

The K-method of real interpolation[7] can be used for Banach spaces over the field R of real numbers.

Definition. Let (X0, X1) be a compatible couple of Banach spaces. For t > 0 and every x ∈ X0 \+ X1, let

K(x,t;X0,X1)=inf⁡{‖x0‖X0+t‖x1‖X1 : x=x0+x1,x0∈X0,x1∈X1}.

Changing the order of the two spaces results in:[8]

K(x,t;X0,X1)=tK(x,t−1;X1,X0).

Let

‖x‖θ,q;K=(∫0∞(t−θK(x,t;X0,X1))qdtt)1q,0<θ<1,1≤q<∞,‖x‖θ,∞;K=supt>0t−θK(x,t;X0,X1),0≤θ≤1.

The K-method of real interpolation consists in taking Kθ,q(X0, X1)  to be the linear subspace of X0 \+ X1 consisting of all x such that ||x||θ,q;K < ∞.

#### Example

An important example is that of the couple (L1(R, Σ, μ), L∞(R, Σ, μ)), where the functional K(t, f ; L1, L∞) can be computed explicitly. The measure μ is supposed σ-finite. In this context, the best way of cutting the function  f ∈ L1 \+ L∞ as sum of two functions  f0 ∈ L1 and  f1 ∈ L∞ is, for some s > 0 to be chosen as function of t, to let  f1(x) be given for all x ∈ R by

f1(x)={f(x)|f(x)|<s,sf(x)|f(x)|otherwise

The optimal choice of s leads to the formula[9]

K(f,t;L1,L∞)=∫0tf*(u)du,

where  f ∗ is the decreasing rearrangement of  f .

### J-method

As with the K-method, the J-method can be used for real Banach spaces.

Definition. Let (X0, X1) be a compatible couple of Banach spaces. For t > 0 and for every vector x ∈ X0 ∩ X1, let J(x,t;X0,X1)=max⁡(‖x‖X0,t‖x‖X1).

A vector x in X0 \+ X1 belongs to the interpolation space Jθ,q(X0, X1) if and only if it can be written as

x=∫0∞v(t)dtt,

where v(t) is measurable with values in X0 ∩ X1 and such that

Φ(v)=(∫0∞(t−θJ(v(t),t;X0,X1))qdtt)1q<∞.

The norm of x in Jθ,q(X0, X1) is given by the formula

‖x‖θ,q;J:=infv{Φ(v) : x=∫0∞v(t)dtt}.

### Relations between the interpolation methods

The two real interpolation methods are equivalent when 0 < θ < 1.[10]

Theorem. Let (X0, X1) be a compatible couple of Banach spaces. If 0 < θ < 1 and 1 ≤ q ≤ ∞, then Jθ,q(X0,X1)=Kθ,q(X0,X1), with equivalence of norms.

The theorem covers degenerate cases that have not been excluded: for example if X0 and X1 form a direct sum, then the intersection and the J-spaces are the null space, and a simple computation shows that the K-spaces are also null.

When 0 < θ < 1, one can speak, up to an equivalent renorming, about the Banach space obtained by the real interpolation method with parameters θ and q. The notation for this real interpolation space is (X0, X1)θ,q. One has that

(X0,X1)θ,q=(X1,X0)1−θ,q,0<θ<1,1≤q≤∞.

For a given value of θ, the real interpolation spaces increase with q:[11] if 0 < θ < 1 and  1 ≤ q ≤ r ≤ ∞, the following continuous inclusion holds true:

(X0,X1)θ,q⊂(X0,X1)θ,r.

Theorem. Given 0 < θ < 1, 1 ≤ q ≤ ∞ and two compatible couples (X0, X1) and (Y0, Y1), the pair ((X0, X1)θ,q, (Y0, Y1)θ,q) is an exact interpolation pair of exponent θ.[12]

A complex interpolation space is usually not isomorphic to one of the spaces given by the real interpolation method. However, there is a general relationship.

Theorem. Let (X0, X1) be a compatible couple of Banach spaces. If 0 < θ < 1, then (X0,X1)θ,1⊂(X0,X1)θ⊂(X0,X1)θ,∞.

#### Examples

When X0 = C([0, 1]) and X1 = C1([0, 1]), the space of continuously differentiable functions on [0, 1], the (θ, ∞) interpolation method, for 0 < θ < 1, gives the Hölder space C0,θ of exponent θ. This is because the K-functional K(f, t; X0, X1) of this couple is equivalent to

sup⁡{|f(u)|,|f(u)−f(v)|1+t−1|u−v| : u,v∈[0,1]}.

Only values 0 < t < 1 are interesting here.

Real interpolation between Lp spaces gives[13] the family of Lorentz spaces. Assuming 0 < θ < 1 and 1 ≤ q ≤ ∞, one has:

(L1(𝐑,Σ,μ),L∞(𝐑,Σ,μ))θ,q=Lp,q(𝐑,Σ,μ),where 1p=1−θ,

with equivalent norms. This follows from an inequality of Hardy and from the value given above of the K-functional for this compatible couple. When q = p, the Lorentz space Lp,p is equal to Lp, up to renorming. When q = ∞, the Lorentz space Lp,∞ is equal to weak-Lp.

## The reiteration theorem

An intermediate space X of the compatible couple (X0, X1) is said to be of class θ if [14]

(X0,X1)θ,1⊂X⊂(X0,X1)θ,∞,

with continuous injections. Beside all real interpolation spaces (X0, X1)θ,q with parameter θ and 1 ≤ q ≤ ∞, the complex interpolation space (X0, X1)θ is an intermediate space of class θ of the compatible couple (X0, X1).

The reiteration theorems says, in essence, that interpolating with a parameter θ behaves, in some way, like forming a convex combination a = (1 − θ)x0 \+ θx1: taking a further convex combination of two convex combinations gives another convex combination.

Theorem.[15] Let A0, A1 be intermediate spaces of the compatible couple (X0, X1), of class θ0 and θ1 respectively, with 0 < θ0 ≠ θ1 < 1. When 0 < θ < 1 and 1 ≤ q ≤ ∞, one has (A0,A1)θ,q=(X0,X1)η,q,η=(1−θ)θ0+θθ1.

It is notable that when interpolating with the real method between A0 = (X0, X1)θ0,q0 and A1 = (X0, X1)θ1,q1, only the values of θ0 and θ1 matter. Also, A0 and A1 can be complex interpolation spaces between X0 and X1, with parameters θ0 and θ1 respectively.

There is also a reiteration theorem for the complex method.

Theorem.[16] Let (X0, X1) be a compatible couple of complex Banach spaces, and assume that X0 ∩ X1 is dense in X0 and in X1. Let A0 = (X0, X1)θ0 and A1 = (X0, X1)θ1, where 0 ≤ θ0 ≤ θ1 ≤ 1. Assume further that X0 ∩ X1 is dense in A0 ∩ A1. Then, for every 0 ≤ θ ≤ 1, ((X0,X1)θ0,(X0,X1)θ1)θ=(X0,X1)η,η=(1−θ)θ0+θθ1.

The density condition is always satisfied when X0 ⊂ X1 or X1 ⊂ X0.

## Duality

Let (X0, X1) be a compatible couple, and assume that X0 ∩ X1 is dense in X0 and in X1. In this case, the restriction map from the (continuous) dual X'j of Xj, j = 0, 1, to the dual of X0 ∩ X1 is one-to-one. It follows that the pair of duals (X'0,X'1) is a compatible couple continuously embedded in the dual (X0 ∩ X1)′.

For the complex interpolation method, the following duality result holds:

Theorem.[17] Let (X0, X1) be a compatible couple of complex Banach spaces, and assume that X0 ∩ X1 is dense in X0 and in X1. If X0 and X1 are reflexive, then the dual of the complex interpolation space is obtained by interpolating the duals, ((X0,X1)θ)′=(X'0,X'1)θ,0<θ<1.

In general, the dual of the space (X0, X1)θ is equal[17] to (X'0,X'1)θ, a space defined by a variant of the complex method.[18] The upper-θ and lower-θ methods do not coincide in general, but they do if at least one of X0, X1 is a reflexive space.[19]

For the real interpolation method, the duality holds provided that the parameter q is finite:

Theorem.[20] Let 0 < θ < 1, 1 ≤ q < ∞ and (X0, X1) a compatible couple of real Banach spaces. Assume that X0 ∩ X1 is dense in X0 and in X1. Then ((X0,X1)θ,q)=(X'0,X'1)θ,q′, where 1q′=1−1q.

## Discrete definitions

Since the function t → K(x, t) varies regularly (it is increasing, but ⁠1/t⁠K(x, t) is decreasing), the definition of the Kθ,q-norm of a vector n, previously given by an integral, is equivalent to a definition given by a series.[21] This series is obtained by breaking (0, ∞) into pieces (2n, 2n+1) of equal mass for the measure ⁠dt/t⁠,

‖x‖θ,q;K≃(∑n∈𝐙(2−θnK(x,2n;X0,X1))q)1q.

In the special case where X0 is continuously embedded in X1, one can omit the part of the series with negative indices n. In this case, each of the functions x → K(x, 2n; X0, X1) defines an equivalent norm on X1.

The interpolation space (X0, X1)θ,q is a "diagonal subspace" of an ℓ q-sum of a sequence of Banach spaces (each one being isomorphic to X0 \+ X1). Therefore, when q is finite, the dual of (X0, X1)θ,q is a quotient of the ℓ p-sum of the duals, ⁠1/p⁠ \+ ⁠1/q⁠ = 1, which leads to the following formula for the discrete Jθ,p-norm of a functional x' in the dual of (X0, X1)θ,q:

‖x′‖θ,p;J≃inf⁡{(∑n∈𝐙(2θnmax⁡(‖x'n‖X'0,2−n‖x'n‖X'1))p)1p : x′=∑n∈𝐙x'n}.

The usual formula for the discrete Jθ,p-norm is obtained by changing n to −n.

The discrete definition makes several questions easier to study, among which the already mentioned identification of the dual. Other such questions are compactness or weak-compactness of linear operators. Lions and Peetre have proved that:

Theorem.[22] If the linear operator T is compact from X0 to a Banach space Y and bounded from X1 to Y, then T is compact from (X0, X1)θ,q to Y when 0 < θ < 1, 1 ≤ q ≤ ∞.

Davis, Figiel, Johnson and Pełczyński have used interpolation in their proof of the following result:

Theorem.[23] A bounded linear operator between two Banach spaces is weakly compact if and only if it factors through a reflexive space.

### A general interpolation method

The space ℓ q used for the discrete definition can be replaced by an arbitrary sequence space Y with unconditional basis, and the weights an = 2−θn, bn = 2(1−θ)n, that are used for the Kθ,q-norm, can be replaced by general weights

an,bn>0, ∑n=1∞min⁡(an,bn)<∞.

The interpolation space K(X0, X1, Y, {an}, {bn}) consists of the vectors x in X0 \+ X1 such that[24]

‖x‖K(X0,X1)=supm≥1‖∑n=1manK(x,bnan;X0,X1)yn‖Y<∞,

where {yn} is the unconditional basis of Y. This abstract method can be used, for example, for the proof of the following result:

Theorem.[25] A Banach space with unconditional basis is isomorphic to a complemented subspace of a space with symmetric basis.

## Interpolation of Sobolev and Besov spaces

Several interpolation results are available for Sobolev spaces and Besov spaces on Rn,[26]

Hpss∈𝐑,1≤p≤∞Bp,qss∈𝐑,1≤p,q≤∞

These spaces are spaces of measurable functions on Rn when s ≥ 0, and of tempered distributions on Rn when s < 0. For the rest of the section, the following setting and notation will be used:

0<θ<1,1≤p,p0,p1,q,q0,q1≤∞,s,s0,s1∈𝐑,sθ=(1−θ)s0+θs1,1pθ=1−θp0+θp1,1qθ=1−θq0+θq1.

Complex interpolation works well on the class of Sobolev spaces Hps (the Bessel potential spaces) as well as Besov spaces:

(Hp0s0,Hp1s1)θ=Hpθsθ,s0≠s1,1<p0,p1<∞.(Bp0,q0s0,Bp1,q1s1)θ=Bpθ,qθsθ,s0≠s1.

Real interpolation between Sobolev spaces may give Besov spaces, except when s0 = s1,

(Hp0s,Hp1s)θ,pθ=Hpθs.

When s0 ≠ s1 but p0 = p1, real interpolation between Sobolev spaces gives a Besov space:

(Hps0,Hps1)θ,q=Bp,qsθ,s0≠s1.

Also,

(Bp,q0s0,Bp,q1s1)θ,q=Bp,qsθ,s0≠s1.(Bp,q0s,Bp,q1s)θ,q=Bp,qθs.(Bp0,q0s0,Bp1,q1s1)θ,qθ=Bpθ,qθsθ,s0≠s1,pθ=qθ.

## See also

* Fundamental lemma of interpolation theory
* Riesz–Thorin theorem
* Marcinkiewicz interpolation theorem

## Notes

1. ↑ The seminal papers in this direction are Lions, Jacques-Louis (1960), "Une construction d'espaces d'interpolation" (in French), C. R. Acad. Sci. Paris 251: 1853–1855 and (Calderón 1964).
2. ↑ first defined in Lions, Jacques-Louis; Peetre, Jaak (1961), "Propriétés d'espaces d'interpolation" (in French), C. R. Acad. Sci. Paris 253: 1747–1749 , developed in (Lions Peetre), with notation slightly different (and more complicated, with four parameters instead of two) from today's notation. It was put later in today's form in Peetre, Jaak (1963), "Nouvelles propriétés d'espaces d'interpolation" (in French), C. R. Acad. Sci. Paris 256: 1424–1426 , and Peetre, Jaak (1968), A theory of interpolation of normed spaces, Notas de Matemática, 39, Rio de Janeiro: Instituto de Matemática Pura e Aplicada, Conselho Nacional de Pesquisas, pp. iii+86 .
3. ↑ see (Bennett Sharpley), pp. 96-105.
4. ↑ see p. 88 in (Bergh Löfström).
5. ↑ see Theorem 4.1.2, p. 88 in (Bergh Löfström).
6. ↑ see Chapter 5, p. 106 in (Bergh Löfström).
7. ↑ see pp. 293–302 in (Bennett Sharpley).
8. ↑ see Proposition 1.2, p. 294 in (Bennett Sharpley).
9. ↑ see p. 298 in (Bennett Sharpley).
10. ↑ see Theorem 2.8, p. 314 in (Bennett Sharpley).
11. ↑ see Proposition 1.10, p. 301 in (Bennett Sharpley)
12. ↑ see Theorem 1.12, pp. 301–302 in (Bennett Sharpley).
13. ↑ see Theorem 1.9, p. 300 in (Bennett Sharpley).
14. ↑ see Definition 2.2, pp. 309-310 in (Bennett Sharpley)
15. ↑ see Theorem 2.4, p. 311 in (Bennett Sharpley)
16. ↑ see 12.3, p. 121 in (Calderón 1964).
17. ↑ 17.0 17.1 see 12.1 and 12.2, p. 121 in (Calderón 1964).
18. ↑ Theorem 4.1.4, p. 89 in (Bergh Löfström).
19. ↑ Theorem 4.3.1, p. 93 in (Bergh Löfström).
20. ↑ see Théorème 3.1, p. 23 in (Lions Peetre), or Theorem 3.7.1, p. 54 in (Bergh Löfström).
21. ↑ see chap. II in (Lions Peetre).
22. ↑ see chap. 5, Théorème 2.2, p. 37 in (Lions Peetre).
23. ↑ Davis, William J.; Figiel, Tadeusz; Johnson, William B.; Pełczyński, Aleksander (1974), "Factoring weakly compact operators", Journal of Functional Analysis 17 (3): 311-327, doi:10.1016/0022-1236(74)90044-5 , see also Theorem 2.g.11, p. 224 in (Lindenstrauss Tzafriri).
24. ↑ Johnson, William B.; Lindenstrauss, Joram (2001), "Basic concepts in the geometry of Banach spaces", Handbook of the geometry of Banach spaces, Vol. I, Amsterdam: North-Holland, pp. 1-84 , and section 2.g in (Lindenstrauss Tzafriri).
25. ↑ see Theorem 3.b.1, p. 123 in Lindenstrauss, Joram; Tzafriri, Lior (1977), Classical Banach Spaces I, Sequence Spaces, Ergebnisse der Mathematik und ihrer Grenzgebiete, 92, Berlin: Springer-Verlag, pp. xiii+188, ISBN 978-3-540-08072-5 .
26. ↑ Theorem 6.4.5, p. 152 in (Bergh Löfström).

## References

* "Intermediate spaces and interpolation, the complex method", Studia Math. 24 (2): 113–190, 1964, doi:10.4064/sm-24-2-113-190 .
* Lions, Jacques-Louis.; Peetre, Jaak (1964), "Sur une classe d'espaces d'interpolation" (in French), Inst. Hautes Études Sci. Publ. Math. 19: 5–68, doi:10.1007/bf02684796, http://www.numdam.org/item/PMIHES_1964__19__5_0/ .
* Bennett, Colin; Sharpley, Robert (1988), Interpolation of operators, Pure and Applied Mathematics, 129, Academic Press, Inc., Boston, MA, pp. xiv+469, ISBN 978-0-12-088730-9 .
* Bergh, Jöran; Löfström, Jörgen (1976), Interpolation spaces. An introduction, Grundlehren der Mathematischen Wissenschaften, 223, Berlin-New York: Springer-Verlag, pp. x+207, ISBN 978-3-540-07875-3 .
* Leoni, Giovanni (2017). A First Course in Sobolev Spaces: Second Edition. Graduate Studies in Mathematics. 181. American Mathematical Society. pp. 734\. ISBN 978-1-4704-2921-8.
* Lindenstrauss; Tzafriri, Lior (1979), Classical Banach spaces. II. Function spaces, Ergebnisse der Mathematik und ihrer Grenzgebiete [Results in Mathematics and Related Areas], 97, Berlin-New York: Springer-Verlag, pp. x+243, ISBN 978-3-540-08888-2 .
* Tartar, Luc (2007), An Introduction to Sobolev Spaces and Interpolation, Springer, ISBN 978-3-540-71482-8 .

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* M. Riesz extension
* Riesz representation
* Parseval's identity
* Schauder fixed-point

Analysis|

* Abstract Wiener space
* Bochner space
* Differentiation in Fréchet spaces
* Derivatives (Fréchet
* Gateaux
* functional
* holomorphic)
* Integrals (Bochner
* Dunford
* Gelfand–Pettis
* regulated
* Paley–Wiener
* weak)
* Functional calculus (Borel
* continuous
* holomorphic)
* Inverse function theorem (Nash–Moser theorem)
* Measures (Lebesgue
* Projection-valued
* Vector)
* Weakly measurable function

Types of sets|

* Absolutely convex
* Absorbing
* Balanced
* Bounded
* Convex
* Convex cone (subset)
* Linear cone (subset)
* Radial
* Star-shaped
* Symmetric
* Zonotope

Subsets / set operations|

* Algebraic interior (core)
* Bounding points
* Convex hull
* Extreme point
* Interior
* Minkowski addition
* Polar

* v
* t
* e

Topological vector spaces (TVSs)

Basic concepts|

* Banach space
* Completeness
* Continuous linear operator
* Linear functional
* Fréchet space
* Linear map
* Locally convex space
* Metrizability
* Operator topologies
* Topological vector space
* Vector space

Main results|

* Anderson–Kadec
* Banach–Alaoglu
* Closed graph theorem
* F. Riesz's
* Hahn–Banach (hyperplane separation
* Vector-valued Hahn–Banach)
* Open mapping (Banach–Schauder)
* Bounded inverse
* Uniform boundedness (Banach–Steinhaus)

Maps|

* Bilinear operator
* form
* Linear map
* Almost open
* Bounded
* Continuous
* Closed
* Compact
* Densely defined
* Discontinuous
* Topological homomorphism
* Functional
* Linear
* Bilinear
* Sesquilinear
* Norm
* Seminorm
* Sublinear function
* Transpose

Types of sets|

* Absolutely convex/disk
* Absorbing/Radial
* Affine
* Balanced/Circled
* Banach disks
* Bounding points
* Bounded
* Complemented subspace
* Convex
* Convex cone (subset)
* Linear cone (subset)
* Extreme point
* Pre-compact/Totally bounded
* Prevalent/Shy
* Radial
* Radially convex/Star-shaped
* Symmetric

Set operations|

* Affine hull
* (Relative) Algebraic interior (core)
* Convex hull
* Linear span
* Minkowski addition
* Polar
* (Quasi) Relative interior

Types of TVSs|

* Asplund
* B-complete/Ptak
* Banach
* (Countably) Barrelled
* BK-space
* (Ultra-) Bornological
* Brauner
* Complete
* Convenient
* (DF)-space
* Distinguished
* F-space
* FK-AK space
* FK-space
* Fréchet
* tame Fréchet
* Grothendieck
* Hilbert
* Infrabarreled
* Interpolation space
* K-space
* LB-space
* LF-space
* Locally convex space
* Mackey
* (Pseudo)Metrizable
* Montel
* Quasibarrelled
* Quasi-complete
* Quasinormed
* (Polynomially
* Semi-) Reflexive
* Riesz
* Schwartz
* Semi-complete
* Smith
* Stereotype
* (B
* Strictly
* Uniformly) convex
* (Quasi-) Ultrabarrelled
* Uniformly smooth
* Webbed
* With the approximation property

* Category

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