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mathematical analysis Analysis is the branch of mathematics dealing with continuous functions, limits, and related theories, such as differentiation, integration, measure, infinite sequences, series, and analytic functions. These theories are usually studied ...
a pseudo-differential operator is an extension of the concept of differential operator. Pseudo-differential operators are used extensively in the theory of partial differential equations and quantum field theory, e.g. in mathematical models that include ultrametric pseudo-differential equations in a non-Archimedean space.


History

The study of pseudo-differential operators began in the mid 1960s with the work of
Kohn Kohn is both a first name and a surname. Kohn means cook in Yiddish. It may also be related to Cohen. Notable people with the surname include: * Angela Kohn (Jacki-O), rapper * Arnold Kohn, Croatian Zionist and longtime president of the Jewish co ...
, Nirenberg, Hörmander, Unterberger and Bokobza. They played an influential role in the second proof of the
Atiyah–Singer index theorem In differential geometry, the Atiyah–Singer index theorem, proved by Michael Atiyah and Isadore Singer (1963), states that for an elliptic differential operator on a compact manifold, the analytical index (related to the dimension of the space ...
via K-theory. Atiyah and Singer thanked Hörmander for assistance with understanding the theory of pseudo-differential operators.


Motivation


Linear differential operators with constant coefficients

Consider a linear differential operator with constant coefficients, : P(D) := \sum_\alpha a_\alpha \, D^\alpha which acts on smooth functions u with compact support in R''n''. This operator can be written as a composition of a Fourier transform, a simple ''multiplication'' by the polynomial function (called the symbol) : P(\xi) = \sum_\alpha a_\alpha \, \xi^\alpha, and an inverse Fourier transform, in the form: Here, \alpha = (\alpha_1,\ldots,\alpha_n) is a multi-index, a_\alpha are complex numbers, and :D^\alpha=(-i \partial_1)^ \cdots (-i \partial_n)^ is an iterated partial derivative, where ∂''j'' means differentiation with respect to the ''j''-th variable. We introduce the constants -i to facilitate the calculation of Fourier transforms. ;Derivation of formula () The Fourier transform of a smooth function ''u'',
compactly supported In mathematics, the support of a real-valued function f is the subset of the function domain containing the elements which are not mapped to zero. If the domain of f is a topological space, then the support of f is instead defined as the smalle ...
in R''n'', is :\hat u (\xi) := \int e^ u(y) \, dy and Fourier's inversion formula gives :u (x) = \frac \int e^ \hat u (\xi) d\xi = \frac \iint e^ u (y) \, dy \, d\xi By applying ''P''(''D'') to this representation of ''u'' and using :P(D_x) \, e^ = e^ \, P(\xi) one obtains formula ().


Representation of solutions to partial differential equations

To solve the partial differential equation : P(D) \, u = f we (formally) apply the Fourier transform on both sides and obtain the ''algebraic'' equation : P(\xi) \, \hat u (\xi) = \hat f(\xi). If the symbol ''P''(ξ) is never zero when ξ ∈ R''n'', then it is possible to divide by ''P''(ξ): : \hat u(\xi) = \frac \hat f(\xi) By Fourier's inversion formula, a solution is : u (x) = \frac \int e^ \frac \hat f (\xi) \, d\xi. Here it is assumed that: # ''P''(''D'') is a linear differential operator with ''constant'' coefficients, # its symbol ''P''(ξ) is never zero, # both ''u'' and ƒ have a well defined Fourier transform. The last assumption can be weakened by using the theory of
distribution Distribution may refer to: Mathematics * Distribution (mathematics), generalized functions used to formulate solutions of partial differential equations *Probability distribution, the probability of a particular value or value range of a vari ...
s. The first two assumptions can be weakened as follows. In the last formula, write out the Fourier transform of ƒ to obtain : u (x) = \frac \iint e^ \frac f (y) \, dy \, d\xi. This is similar to formula (), 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 R''n'' is an operator whose value on the function ''u(x)'' is the function of ''x'': where \hat(\xi) is the Fourier transform of ''u'' and 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 R''n'' × R''n'' with the property : , \partial_\xi^\alpha \partial_x^\beta P(x,\xi), \leq C_ \, (1 + , \xi, )^ for all ''x'',ξ ∈R''n'', all multiindices α,β, some constants ''C''α, β and some real number ''m'', then ''P'' belongs to the symbol class \scriptstyle of Hörmander. The corresponding operator ''P''(''x'',''D'') is called a pseudo-differential operator of order m and belongs to the class \Psi^m_.


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'', ''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 (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 Distribution may refer to: Mathematics * Distribution (mathematics), generalized functions used to formulate solutions of partial differential equations *Probability distribution, the probability of a particular value or value range of a vari ...
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/d''x'' in the form :p(x, D)\, 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

Pseudo-differential operators can be represented by kernels. 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.


See also

*
Differential algebra In mathematics, differential rings, differential fields, and differential algebras are rings, fields, and algebras equipped with finitely many derivations, which are unary functions that are linear and satisfy the Leibniz product rule. A na ...
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 * Operational calculus


Footnotes


References

* . *


Further reading

* Nicolas Lerner, ''Metrics on the phase space and non-selfadjoint pseudo-differential operators''. Pseudo-Differential Operators. Theory and Applications, 3. Birkhäuser Verlag, Basel, 2010. * Michael E. Taylor, Pseudodifferential Operators, Princeton Univ. Press 1981. * M. A. Shubin, Pseudodifferential Operators and Spectral Theory, Springer-Verlag 2001. * Francois Treves, Introduction to Pseudo Differential and Fourier Integral Operators, (University Series in Mathematics), Plenum Publ. Co. 1981. * F. G. Friedlander and M. Joshi, Introduction to the Theory of Distributions, Cambridge University Press 1999. * * André Unterberger, ''Pseudo-differential operators and applications: an introduction''. Lecture Notes Series, 46. Aarhus Universitet, Matematisk Institut, Aarhus, 1976.


External links


Lectures on Pseudo-differential Operators
by Mark S. Joshi on arxiv.org. * {{Authority control Differential operators Microlocal analysis Functional analysis Harmonic analysis Generalized functions Partial differential equations