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Pseudo-differential operator

In mathematical analysis 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 edit

The study of pseudo-differential operators began in the mid 1960s with the work of Kohn, Nirenberg, Hörmander, Unterberger and Bokobza.[1]

They played an influential role in the second proof of the Atiyah–Singer index theorem via K-theory. Atiyah and Singer thanked Hörmander for assistance with understanding the theory of pseudo-differential operators.[2]

Motivation edit

Linear differential operators with constant coefficients edit

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:

 

 

 

 

 

(1)

Here,   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 (1)

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 (1).

Representation of solutions to partial differential equations edit

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 (1), except that 1/P(ξ) is not a polynomial function, but a function of a more general kind.

Definition of pseudo-differential operators edit

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:

 

 

 

 

 

(2)

where   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 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 edit

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 edit

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 edit

Footnotes edit

  1. ^ Stein 1993, Chapter 6
  2. ^ Atiyah & Singer 1968, p. 486

References edit

  • Stein, Elias (1993), Harmonic Analysis: Real-Variable Methods, Orthogonality and Oscillatory Integrals, Princeton University Press.
  • Atiyah, Michael F.; Singer, Isadore M. (1968), "The Index of Elliptic Operators I", Annals of Mathematics, 87 (3): 484–530, doi:10.2307/1970715, JSTOR 1970715

Further reading edit

  • 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. 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
  • Hörmander, Lars (1987). The Analysis of Linear Partial Differential Operators III: Pseudo-Differential Operators. Springer. ISBN 3-540-49937-7.
  • André Unterberger, Pseudo-differential operators and applications: an introduction. Lecture Notes Series, 46. Aarhus Universitet, Matematisk Institut, Aarhus, 1976.

External links edit

pseudo, differential, operator, mathematical, analysis, pseudo, differential, operator, extension, concept, differential, operator, used, extensively, theory, partial, differential, equations, quantum, field, theory, mathematical, models, that, include, ultram. In mathematical analysis 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 Contents 1 History 2 Motivation 2 1 Linear differential operators with constant coefficients 2 2 Representation of solutions to partial differential equations 3 Definition of pseudo differential operators 4 Properties 5 Kernel of pseudo differential operator 6 See also 7 Footnotes 8 References 9 Further reading 10 External linksHistory editThe study of pseudo differential operators began in the mid 1960s with the work of Kohn Nirenberg Hormander Unterberger and Bokobza 1 They played an influential role in the second proof of the Atiyah Singer index theorem via K theory Atiyah and Singer thanked Hormander for assistance with understanding the theory of pseudo differential operators 2 Motivation editLinear differential operators with constant coefficients edit Consider a linear differential operator with constant coefficients P D aaaDa displaystyle P D sum alpha a alpha D alpha nbsp which acts on smooth functions u displaystyle u nbsp 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 P 3 aaa3a displaystyle P xi sum alpha a alpha xi alpha nbsp and an inverse Fourier transform in the form P D u x 1 2p n Rn Rnei x y 3P 3 u y dyd3 displaystyle 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 nbsp 1 Here a a1 an displaystyle alpha alpha 1 ldots alpha n nbsp is a multi index aa displaystyle a alpha nbsp are complex numbers and Da i 1 a1 i n an displaystyle D alpha i partial 1 alpha 1 cdots i partial n alpha n nbsp is an iterated partial derivative where j means differentiation with respect to the j th variable We introduce the constants i displaystyle i nbsp to facilitate the calculation of Fourier transforms Derivation of formula 1 The Fourier transform of a smooth function u compactly supported in Rn is u 3 e iy3u y dy displaystyle hat u xi int e iy xi u y dy nbsp and Fourier s inversion formula gives u x 1 2p n eix3u 3 d3 1 2p n ei x y 3u y dyd3 displaystyle u x frac 1 2 pi n int e ix xi hat u xi d xi frac 1 2 pi n iint e i x y xi u y dy d xi nbsp By applying P D to this representation of u and using P Dx ei x y 3 ei x y 3P 3 displaystyle P D x e i x y xi e i x y xi P xi nbsp one obtains formula 1 Representation of solutions to partial differential equations edit To solve the partial differential equation P D u f displaystyle P D u f nbsp we formally apply the Fourier transform on both sides and obtain the algebraic equation P 3 u 3 f 3 displaystyle P xi hat u xi hat f xi nbsp If the symbol P 3 is never zero when 3 Rn then it is possible to divide by P 3 u 3 1P 3 f 3 displaystyle hat u xi frac 1 P xi hat f xi nbsp By Fourier s inversion formula a solution is u x 1 2p n eix31P 3 f 3 d3 displaystyle u x frac 1 2 pi n int e ix xi frac 1 P xi hat f xi d xi nbsp Here it is assumed that P D is a linear differential operator with constant coefficients its symbol P 3 is never zero 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 u x 1 2p n ei x y 31P 3 f y dyd3 displaystyle u x frac 1 2 pi n iint e i x y xi frac 1 P xi f y dy d xi nbsp This is similar to formula 1 except that 1 P 3 is not a polynomial function but a function of a more general kind Definition of pseudo differential operators editHere 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 P x D u x 1 2p n Rneix 3P x 3 u 3 d3 displaystyle quad P x D u x frac 1 2 pi n int mathbb R n e ix cdot xi P x xi hat u xi d xi nbsp 2 where u 3 displaystyle hat u xi nbsp is the Fourier transform of u and the symbol P x 3 in the integrand belongs to a certain symbol class For instance if P x 3 is an infinitely differentiable function on Rn Rn with the property 3a xbP x 3 Ca b 1 3 m a displaystyle partial xi alpha partial x beta P x xi leq C alpha beta 1 xi m alpha nbsp for all x 3 Rn all multiindices a b some constants Ca b and some real number m then P belongs to the symbol class S1 0m displaystyle scriptstyle S 1 0 m nbsp of Hormander The corresponding operator P x D is called a pseudo differential operator of order m and belongs to the class PS1 0m displaystyle Psi 1 0 m nbsp Properties editLinear 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 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 p x D displaystyle p x D nbsp 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 editPseudo 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 editDifferential 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 Operational calculusFootnotes edit Stein 1993 Chapter 6 Atiyah amp Singer 1968 p 486References editStein Elias 1993 Harmonic Analysis Real Variable Methods Orthogonality and Oscillatory Integrals Princeton University Press Atiyah Michael F Singer Isadore M 1968 The Index of Elliptic Operators I Annals of Mathematics 87 3 484 530 doi 10 2307 1970715 JSTOR 1970715Further reading editNicolas Lerner Metrics on the phase space and non selfadjoint pseudo differential operators Pseudo Differential Operators Theory and Applications 3 Birkhauser Verlag Basel 2010 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 Hormander Lars 1987 The Analysis of Linear Partial Differential Operators III Pseudo Differential Operators Springer ISBN 3 540 49937 7 Andre Unterberger Pseudo differential operators and applications an introduction Lecture Notes Series 46 Aarhus Universitet Matematisk Institut Aarhus 1976 External links editLectures on Pseudo differential Operators by Mark S Joshi on arxiv org Pseudo differential operator Encyclopedia of Mathematics EMS Press 2001 1994 Retrieved from https en wikipedia org w index php title Pseudo differential operator amp oldid 1164776369, wikipedia, wiki, book, books, library,

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