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In [[mathematical analysis]] a '''pseudo-differential operator'''  is simultaneously an extension of the concept of [[differential operator]] and of that of a [[singular integral operator]]. Pseudo-differential operators are used extensively in the theory of [[partial differential equations]] and [[quantum field theory]].
 
==Motivation==
 
===Linear differential operators with constant coefficients===
Consider a linear [[differential operator]] with constant coefficients,
 
:<math> P(D) := \sum_\alpha a_\alpha \, D^\alpha </math>
 
which acts on smooth functions <math>u</math> with compact support in '''R'''<sup>''n''</sup>.
This operator can be written as a composition of a [[Fourier transform]], a simple ''multiplication'' by the
polynomial function (called the '''[[Fourier multiplier|symbol]]''')
 
:<math>  P(\xi) = \sum_\alpha a_\alpha \, \xi^\alpha, </math>
 
and an inverse Fourier transform, in the form:
 
{{NumBlk|:|<math> \quad P(D) u (x) =
\frac{1}{(2 \pi)^n} \int_{\mathbb{R}^n} \int_{\mathbb{R}^n} e^{i (x - y) \xi} P(\xi) u(y)\, dy \, d\xi </math>|{{EquationRef|1}}}}
 
Here,
&alpha;&nbsp;=&nbsp;(&alpha;<sub>1</sub>,&nbsp;…&nbsp;,&alpha;<sub>''n''</sub>) is a [[multi-index]], <math>a_\alpha</math> are complex numbers, and
 
:<math>D^\alpha=(-i \partial_1)^{\alpha_1} \dots (-i \partial_n)^{\alpha_n}</math>
 
is an iterated partial derivative, where ∂<sub>''j''</sub> means differentiation with respect to the ''j''-th variable. We introduce the constants <math>-i</math> to facilitate the calculation of Fourier transforms.
 
;Derivation of formula ({{EquationNote|1}})
The Fourier transform of a smooth function ''u'', [[compact support|compactly supported]] in '''R'''<sup>''n''</sup>, is
 
:<math>\hat u (\xi) := \int e^{- i y \xi} u(y) \, dy</math>
 
and [[Fourier's inversion formula]] gives
 
:<math>u (x) = \frac{1}{(2 \pi)^n} \int e^{i x \xi} \hat u (\xi) d\xi =
\frac{1}{(2 \pi)^n} \iint e^{i (x - y) \xi} u (y) \, dy \, d\xi </math>
 
By applying ''P''(''D'') to this representation of ''u'' and using
 
:<math>P(D_x) \, e^{i (x - y) \xi} = e^{i (x - y) \xi} \, P(\xi) </math>
 
one obtains formula ({{EquationNote|1}}).
 
===Representation of solutions to partial differential equations===
 
To solve the partial differential equation
 
:<math> P(D) \, u = f </math>
 
we (formally) apply the Fourier transform on both sides and obtain the ''algebraic'' equation
 
:<math> P(\xi) \, \hat u (\xi) = \hat f(\xi). </math>
 
If the symbol ''P''(&xi;) is never zero when &xi;&nbsp;&isin;&nbsp;'''R'''<sup>''n''</sup>, then it is possible to divide by ''P''(&xi;):
 
:<math> \hat u(\xi) = \frac{1}{P(\xi)} \hat f(\xi) </math>
 
By Fourier's inversion formula, a solution is
 
:<math>  u (x) = \frac{1}{(2 \pi)^n} \int e^{i x \xi} \frac{1}{P(\xi)} \hat f (\xi) \, d\xi.</math>
 
Here it is assumed that:
# ''P''(''D'') is a linear differential operator with ''constant'' coefficients,
# its symbol ''P''(&xi;) is never zero,
# both ''u'' and &fnof; have a well defined Fourier transform.
The last assumption can be weakened by using the theory of [[distribution (mathematics)|distribution]]s.
The first two assumptions can be weakened as follows.
 
In the last formula, write out the Fourier transform of &fnof; to obtain
 
:<math>  u (x) = \frac{1}{(2 \pi)^n} \iint e^{i (x-y) \xi} \frac{1}{P(\xi)} f (y) \, dy \, d\xi.</math>
 
This is similar to formula ({{EquationNote|1}}), except that 1/''P''(&xi;) is not a polynomial function, but a function of a more general kind.
 
==Definition of pseudo-differential operators==
 
Here we view pseudo-differential operators as a generalization of differential operators.
We extend formula (1) as follows. A '''pseudo-differential operator''' ''P''(''x'',''D'') on '''R'''<sup>''n''</sup> is an operator whose value on the function ''u(x)'' is the function of ''x'':
 
{{NumBlk|:|<math>\quad P(x,D) u (x) =
\frac{1}{(2 \pi)^n} \int_{\mathbb{R}^n} \int_{\mathbb{R}^n} e^{i (x - y) \xi} P(x,\xi) u(y) \, dy \, d\xi </math>|{{EquationRef|2}}}}
 
where the symbol ''P''(''x'',&xi;) in the integrand belongs to a certain ''symbol class''.
For instance, if ''P''(''x'',&xi;) is an infinitely differentiable function on '''R'''<sup>''n''</sup>&nbsp;&times;&nbsp;'''R'''<sup>''n''</sup> with the property
 
:<math> |\partial_\xi^\alpha \partial_x^\beta P(x,\xi)| \leq C_{\alpha,\beta} \, (1 + |\xi|)^{m - |\alpha|} </math>
 
for all ''x'',&xi;&nbsp;&isin;'''R'''<sup>''n''</sup>, all multiindices &alpha;,&beta;. some constants ''C''<sub>&alpha;, &beta;</sub> and some real number ''m'', then ''P'' belongs to the symbol class <math>\scriptstyle{S^m_{1,0}}</math> of [[Hörmander]]. The corresponding operator ''P''(''x'',''D'') is called a '''pseudo-differential operator of order m''' and belongs to the class
<math>\scriptstyle{\Psi^m_{1,0}}.</math>
 
==Properties==
Linear differential operators of order m with smooth bounded coefficients are pseudo-differential
operators of order ''m''.
The composition ''PQ'' of two pseudo-differential operators ''P'',&nbsp;''Q'' is again a pseudo-differential operator and the symbol of ''PQ'' can be calculated by using the symbols of ''P'' and ''Q''. The adjoint and transpose of a pseudo-differential operator is a pseudo-differential operator.
 
If a differential operator of order ''m'' is [[elliptic differential operator|(uniformly) elliptic]] (of order ''m'')
and invertible, then its inverse is a pseudo-differential operator of order &minus;''m'', and its symbol can be calculated. This means that one can solve linear elliptic differential equations more or less explicitly
by using the theory of pseudo-differential operators.
 
Differential operators are ''local'' in the sense that one only needs the value of a function in a neighbourhood of a point to determine the effect of the operator. Pseudo-differential operators are ''pseudo-local'', which means informally that when applied to a [[Schwartz distribution|distribution]] they do not create a singularity at points where the distribution was already smooth.
 
Just as a differential operator can be expressed in terms of ''D''&nbsp;=&nbsp;&minus;id/d''x'' in the form
 
:<math>p(x, D)\,</math>
 
for a [[polynomial]] ''p'' in ''D'' (which is called the ''symbol''), a pseudo-differential operator has a symbol in a more general class of functions. Often one can reduce a problem in analysis of pseudo-differential operators to a sequence of algebraic problems involving their symbols, and this is the essence of [[microlocal analysis]].
 
==Kernel of pseudo-differential operator==
 
Viewed as a mapping, a pseudo-differential operator can be represented by a [[Integral kernel|kernel]].  The singularity of the kernel on the diagonal depends on the degree of the corresponding operator.  In fact, if the symbol satisfies the above differential inequalities with m ≤ 0, it can be shown that the kernel is a [[Singular integral|singular integral kernel]]The kernels can be used for characterization of boundary data for inverse boundary problems.
 
==See also==
* [[Differential algebra]] for a definition of pseudo-differential operators in the context of differential algebras and differential rings.
* [[Fourier transform]]
* [[Fourier integral operator]]
* [[Oscillatory integral operator]]
* [[Sato's fundamental theorem]]
 
==Further reading==
Here are some of the standard reference books
* [[Michael E. Taylor]], Pseudodifferential Operators, Princeton Univ. Press 1981. ISBN 0-691-08282-0
* M. A. Shubin, Pseudodifferential Operators and Spectral Theory, Springer-Verlag 2001. ISBN 3-540-41195-X
* [[Francois Treves]], Introduction to Pseudo Differential and Fourier Integral Operators, (University Series in Mathematics), Plenum Publ. Co. 1981. ISBN 0-306-40404-4
*  F. G. Friedlander and M. Joshi, Introduction to the Theory of Distributions, Cambridge University Press 1999. ISBN 0-521-64971-4
* {{cite book
|first=Lars
|last=Hörmander
|authorlink= Lars Hörmander
|title=The Analysis of Linear Partial Differential Operators III: Pseudo-Differential Operators
|year=1987
|publisher=Springer
|isbn=3-540-49937-7}}
* Ingerman D., Morrow J. A.; [http://www.math.washington.edu/~morrow/papers/imrev.pdf "On a characterization of the kernel of the Dirichlet-to-Neumann map for a planar region"]; ''SIAM J. Math. Anal.'' 1998, vol.&nbsp;29, no.&nbsp;1, pp.&nbsp;106–115 (electronic).
 
==External links==
* [http://arxiv.org/abs/math.AP/9906155 Lectures on Pseudo-differential Operators] by [[Mark S. Joshi]] on arxiv.org.
* {{springer|title=Pseudo-differential operator|id=p/p075660}}
 
[[Category:Differential operators]]
[[Category:Microlocal analysis]]
[[Category:Functional analysis]]
[[Category:Harmonic analysis]]
[[Category:Generalized functions]]
[[Category:Partial differential equations]]

Revision as of 14:31, 12 June 2013

In mathematical analysis a pseudo-differential operator is simultaneously an extension of the concept of differential operator and of that of a singular integral operator. Pseudo-differential operators are used extensively in the theory of partial differential equations and quantum field theory.

Motivation

Linear differential operators with constant coefficients

Consider a linear differential operator with constant coefficients,

which acts on smooth functions with compact support in Rn. This operator can be written as a composition of a Fourier transform, a simple multiplication by the polynomial function (called the symbol)

and an inverse Fourier transform, in the form:

Template:NumBlk

Here, α = (α1, … ,αn) is a multi-index, are complex numbers, and

is an iterated partial derivative, where ∂j means differentiation with respect to the j-th variable. We introduce the constants to facilitate the calculation of Fourier transforms.

Derivation of formula (Template:EquationNote)

The Fourier transform of a smooth function u, compactly supported in Rn, is

and Fourier's inversion formula gives

By applying P(D) to this representation of u and using

one obtains formula (Template:EquationNote).

Representation of solutions to partial differential equations

To solve the partial differential equation

we (formally) apply the Fourier transform on both sides and obtain the algebraic equation

If the symbol P(ξ) is never zero when ξ ∈ Rn, then it is possible to divide by P(ξ):

By Fourier's inversion formula, a solution is

Here it is assumed that:

  1. P(D) is a linear differential operator with constant coefficients,
  2. its symbol P(ξ) is never zero,
  3. both u and ƒ have a well defined Fourier transform.

The last assumption can be weakened by using the theory of distributions. The first two assumptions can be weakened as follows.

In the last formula, write out the Fourier transform of ƒ to obtain

This is similar to formula (Template:EquationNote), except that 1/P(ξ) is not a polynomial function, but a function of a more general kind.

Definition of pseudo-differential operators

Here we view pseudo-differential operators as a generalization of differential operators. We extend formula (1) as follows. A pseudo-differential operator P(x,D) on Rn is an operator whose value on the function u(x) is the function of x:

Template:NumBlk

where the symbol P(x,ξ) in the integrand belongs to a certain symbol class. For instance, if P(x,ξ) is an infinitely differentiable function on Rn × Rn with the property

for all x,ξ ∈Rn, all multiindices α,β. some constants Cα, β and some real number m, then P belongs to the symbol class of Hörmander. The corresponding operator P(x,D) is called a pseudo-differential operator of order m and belongs to the class

Properties

Linear differential operators of order m with smooth bounded coefficients are pseudo-differential operators of order m. The composition PQ of two pseudo-differential operators PQ is again a pseudo-differential operator and the symbol of PQ can be calculated by using the symbols of P and Q. The adjoint and transpose of a pseudo-differential operator is a pseudo-differential operator.

If a differential operator of order m is (uniformly) elliptic (of order m) and invertible, then its inverse is a pseudo-differential operator of order −m, and its symbol can be calculated. This means that one can solve linear elliptic differential equations more or less explicitly by using the theory of pseudo-differential operators.

Differential operators are local in the sense that one only needs the value of a function in a neighbourhood of a point to determine the effect of the operator. Pseudo-differential operators are pseudo-local, which means informally that when applied to a distribution they do not create a singularity at points where the distribution was already smooth.

Just as a differential operator can be expressed in terms of D = −id/dx in the form

for a polynomial p in D (which is called the symbol), a pseudo-differential operator has a symbol in a more general class of functions. Often one can reduce a problem in analysis of pseudo-differential operators to a sequence of algebraic problems involving their symbols, and this is the essence of microlocal analysis.

Kernel of pseudo-differential operator

Viewed as a mapping, a pseudo-differential operator can be represented by a kernel. The singularity of the kernel on the diagonal depends on the degree of the corresponding operator. In fact, if the symbol satisfies the above differential inequalities with m ≤ 0, it can be shown that the kernel is a singular integral kernel. The kernels can be used for characterization of boundary data for inverse boundary problems.

See also

Further reading

Here are some of the standard reference books

  • Michael E. Taylor, Pseudodifferential Operators, Princeton Univ. Press 1981. ISBN 0-691-08282-0
  • M. A. Shubin, Pseudodifferential Operators and Spectral Theory, Springer-Verlag 2001. ISBN 3-540-41195-X
  • Francois Treves, Introduction to Pseudo Differential and Fourier Integral Operators, (University Series in Mathematics), Plenum Publ. Co. 1981. ISBN 0-306-40404-4
  • F. G. Friedlander and M. Joshi, Introduction to the Theory of Distributions, Cambridge University Press 1999. ISBN 0-521-64971-4
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  • Ingerman D., Morrow J. A.; "On a characterization of the kernel of the Dirichlet-to-Neumann map for a planar region"; SIAM J. Math. Anal. 1998, vol. 29, no. 1, pp. 106–115 (electronic).

External links