All Topics  
Riesz-Thorin theorem

 

   Email Print
   Bookmark   Link






 

Riesz-Thorin theorem



 
 
In mathematics
Mathematics

Mathematics is the study of quantity, structure, space, change, and related topics of pattern and form. Mathematicians seek out patterns whether found in numbers, space, natural science, computers, imaginary abstractions, or elsewhere....
, the Riesz-Thorin theorem, often referred to as the Riesz-Thorin Interpolation Theorem or the Riesz-Thorin Convexity Theorem is a result about interpolation of operators. This should not be confused with somewhat different mathematical procedure of interpolation
Interpolation

In the mathematics subfield of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points....
of functions. It is named after Marcel Riesz
Marcel Riesz

Marcel Riesz was a Hungarian people mathematician who was born in Gyor, Hungary . He moved to Sweden in 1908 and spent the rest of his life there, dying in Lund, where he was a professor from 1926 at Lund University....
 and his student G. Olof Thorin.

This theorem deals with linear maps acting between Lp
Lp space

In mathematics, the Lp and lp spaces are spaces of p-integrable function, and corresponding sequence spaces....
 spaces.






Discussion
Ask a question about 'Riesz-Thorin theorem'
Start a new discussion about 'Riesz-Thorin theorem'
Answer questions from other users
Full Discussion Forum



Encyclopedia


In mathematics
Mathematics

Mathematics is the study of quantity, structure, space, change, and related topics of pattern and form. Mathematicians seek out patterns whether found in numbers, space, natural science, computers, imaginary abstractions, or elsewhere....
, the Riesz-Thorin theorem, often referred to as the Riesz-Thorin Interpolation Theorem or the Riesz-Thorin Convexity Theorem is a result about interpolation of operators. This should not be confused with somewhat different mathematical procedure of interpolation
Interpolation

In the mathematics subfield of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points....
of functions. It is named after Marcel Riesz
Marcel Riesz

Marcel Riesz was a Hungarian people mathematician who was born in Gyor, Hungary . He moved to Sweden in 1908 and spent the rest of his life there, dying in Lund, where he was a professor from 1926 at Lund University....
 and his student G. Olof Thorin.

This theorem deals with linear maps acting between Lp
Lp space

In mathematics, the Lp and lp spaces are spaces of p-integrable function, and corresponding sequence spaces....
 spaces. Its usefulness stems from the fact that some of these spaces have rather simpler structure than others. Usually that refers to which is a Hilbert space
Hilbert space

The mathematics concept of a Hilbert space, named after David Hilbert, generalizes the notion of Euclidean space. It extends the methods of vector algebra from the two-dimensional plane and three-dimensional space to infinite-dimensional spaces....
, or to and L (see examples below). Therefore one may prove theorems about the more complicated cases by proving them in two simple cases and then using the Riesz-Thorin theorem to pass from the simple cases to the complicated cases. A related approach is to use the Marcinkiewicz theorem
Marcinkiewicz theorem

In mathematics, the Marcinkiewicz interpolation theorem, discovered by J?zef Marcinkiewicz, is a result about interpolation of operators acting on lp space spaces and related spaces....
.

Definition

A slightly informal version of the theorem can be stated as follows:

Theorem: Assume T is a bounded linear operator from to and at the same time from to . Then it is also a bounded operator from to for any r between p and q.

This is informal because an operator cannot formally be defined on two different spaces at the same time. To formalize it we need to say: let T be a linear operator defined on a family F of functions which is dense in both and (for example, the family of all simple functions). And assume that Tf is in both and for any f in F, and that T is bounded in both norms. Then for any r between p and q we have that F is dense in , that Tf is in for any f in F and that T is bounded in the norm. These three ensure that T can be extended
Continuous linear extension

In functional analysis, it is often convenient to define a linear transformation on a complete space, normed vector space by first defining a linear transformation on a dense set subset of and then extending to the whole space via the theorem below....
 to an operator from to .

In addition an inequality for the norms holds, namely

A version of this theorem exists also when the domain
Domain (mathematics)

In mathematics, the domain of a given function is the set of "input" values for which the function is defined. For instance, the domain of cosine would be all real numbers, while the domain of the square root would be only numbers greater than or equal to 0 ....
 and range
Range (mathematics)

In mathematics, the range of a function is the Set of all "output" values produced by that function. Sometimes it is called the , or more precisely, the image of the domain of the function....
 of T are not identical. In this case, if T is bounded from to then one should draw the point in the unit square
Unit square

The unit square is a square with all of the side lengths equalling 1....
. The two q-s give a second point. Connect them with a straight line segment and you get the r-s for which T is bounded. Here is again the almost formal version

Theorem: Assume T is a bounded linear operator from to and at the same time from to . Then it is also a bounded operator from to where

and t is any number between 0 and 1.

The perfect formalization is done as in the simpler case.

One last generalization is that the theorem holds for for any measure space Ω. In particular it holds for the spaces.

Convexity

Another more general form of the theorem is as follows . Suppose that μ1 and μ2 are two measures on possibly different measure spaces. Let T be a linear mapping from the space of μ1-integrable functions into the space of μ2-measurable functions, and for 1 = p,q = 8, define to be the operator norm of a continuous extension of T to if such an extension exists, and 8 otherwise. Then the theorem asserts that the function is convex in the rectangle (a,b) ∈ [0,1]×[0,1].

Application examples


Hausdorff-Young inequality


We consider the Fourier operator
Fourier series

In mathematics, a Fourier series decomposes a periodic function into a sum of simple oscillating functions, namely sine wave . The study of Fourier series is a branch of Fourier analysis....
, namely let T be the operator that takes a function on the unit circle
Unit circle

In mathematics, a unit circle is a circle with a 1 radius, i.e., a circle whose radius is 1. Frequently, especially in trigonometry, "the" unit circle is the circle of radius 1 centered at the origin in the Cartesian coordinate system in the Euclidean plane....
 and outputs the sequence of its Fourier coefficients



Parseval's theorem
Parseval's theorem

In mathematics, Parseval's theorem usually refers to the result that the Fourier transform is Unitary operator; loosely, that the sum of the square of a function is equal to the sum of the square of its transform....
 shows that T is bounded from to with norm 1. On the other hand, clearly,

so T is bounded from to with norm 1. Therefore we may invoke the Riesz-Thorin theorem to get, for any 1 < p < 2 that T, as an operator from to , is bounded with norm 1, where

In a short formula, this says that

This is the well known Hausdorff-Young inequality. It might be interesting to note that for p > 2 the natural extrapolation of this inequality fails, and the fact that a function belongs to , does not give any additional information on the order of growth of its Fourier series beyond the fact that it is in .

Convolution operators


Let f be a fixed integrable function and let T be the operator of convolution with f, i.e., for each function g we have

It is well known that T is bounded from to and it is trivial that it is bounded from L to L (both bounds are by ). Therefore the Riesz-Thorin theorem gives

We take this inequality and switch the role of the operator and the operand, or in other words, we think of S as the operator of convolution with g, and get that S is bounded from to . Further, since g is in we get, in view of Hölder's inequality, that S is bounded from to L, where again . So interpolating we get

where the connection between p, r and s is

Thorin's contribution


The original proof of this theorem, published in 1926 by Marcel Riesz, was a long and difficult calculation. Riesz' student G. Olof Thorin subsequently discovered a far more elegant proof and published it in 1939. The English mathematician J. E. Littlewood once enthusiastically referred to Thorin's proof as "the most impudent idea in mathematics".

Here is a brief sketch of that proof:

One of its main ingredients is the following rather well known result about analytic functions. Suppose that is a bounded analytic function on the two lines and and on the strip between these two lines. Suppose also that at every point on those two lines. Then, by applying the Phragmén-Lindelöf principle
Phragmén-Lindelöf principle

In mathematics, the Phragm?n-Lindel?f principle is a 1908 extension by Lars Edvard Phragm?n and Ernst Leonard Lindel?f of the maximum modulus principle of complex analysis, to unbounded domains....
 (a kind of maximum principle
Harmonic function

In mathematics, mathematical physics and the theory of stochastic processes, a harmonic function is a twice derivative function f : UR which satisfies Laplace's equation, i.e....
 for infinite domains) one gets that at every point between these two lines, and in particular at the point .

Thorin ingeniously defined a special analytic function connected with the operator . He used the fact that is bounded on to deduce that on the line , and, analogously, he used the boundedness of on to deduce that on the line . Then, after using the result mentioned above to give that , he was able to show that this implies that is bounded on .

Thorin obtained this function with the help of a generalized notion of an analytic function whose values are elements of spaces instead of being complex numbers. In the 1960's Alberto Calderón
Alberto Calderón

Alberto Pedro Calder?n was an Argentina mathematician best known for his work on the theory of partial differential equations and singular integral operators, and widely considered as one of the 20th century's most important mathematicians....
 adapted and generalized Thorin's ideas to develop the method of complex interpolation
Complex interpolation

In the field of mathematical analysis, an interpolation space is a space which lies "in between" two other 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....
. Suppose that and are two Banach space
Banach space

In mathematics, Banach spaces are one of the central objects of study in functional analysis. They are topological vector spaces that have many interesting properties associated with them....
s which are continuously contained in some suitable larger space. Calderon's method enables one to construct a family of new Banach spaces , for each with which are ``between" and and have the ``interpolation" property that every linear operator which is bounded on and on is also bounded on each of the complex interpolation spaces .

Calderon's spaces have many applications. See for example Sobolev space
Sobolev space

In mathematics, a Sobolev space is a vector space of functions equipped with a normed space that is a combination of Lp norm of the function itself as well as its derivatives up to a given order....
.

Mityagin's theorem


B.Mityagin extended the Riesz-Thorin theorem; we formulate the extension in the special case of spaces of sequences with unconditional bases (cf. below).

Assume , . Then for any unconditional Banach space of sequences (that is, for any and any , ).

The proof is based on the Krein-Milman theorem
Krein-Milman theorem

The Krein?Milman theorem is a mathematics statement about convex sets in functional analysis. A particular case of this theorem, which can be easily visualized, states that given a convex polygon, one only needs the corners of the polygon to recover the polygon shape....
.