Differential operator


In mathematics, a differential operator is an operator defined as a function of the differentiation operator. It is helpful, as a matter of notation first, to consider differentiation as an abstract operation that accepts a function and returns another function.
This article considers mainly linear differential operators, which are the most common type. However, non-linear differential operators also exist, such as the Schwarzian derivative.

Definition

Given a nonnegative integer m, an order- linear differential operator is a map from a function space on to another function space that can be written as:
where is a multi-index of non-negative integers,, and for each, is a function on some open domain in n-dimensional space. The operator is interpreted as
Thus for a function :
The notation is justified because of the symmetry of second derivatives.
The polynomial p obtained by replacing partials by variables in P is called the total symbol of P; i.e., the total symbol of P above is:
where The highest homogeneous component of the symbol, namely,
is called the principal symbol of P. While the total symbol is not intrinsically defined, the principal symbol is intrinsically defined.
More generally, let E and F be vector bundles over a manifold X. Then the linear operator
is a differential operator of order if, in local coordinates on X, we have
where, for each multi-index α, is a bundle map, symmetric on the indices α.
The kth order coefficients of P transform as a symmetric tensor
whose domain is the tensor product of the kth symmetric power of the cotangent bundle of X with E, and whose codomain is F. This symmetric tensor is known as the principal symbol of P.
The coordinate system xi permits a local trivialization of the cotangent bundle by the coordinate differentials dxi, which determine fiber coordinates ξi. In terms of a basis of frames eμ, fν of E and F, respectively, the differential operator P decomposes into components
on each section u of E. Here Pνμ is the scalar differential operator defined by
With this trivialization, the principal symbol can now be written
In the cotangent space over a fixed point x of X, the symbol defines a homogeneous polynomial of degree k in with values in.

Fourier interpretation

A differential operator P and its symbol appear naturally in connection with the Fourier transform as follows. Let ƒ be a Schwartz function. Then by the inverse Fourier transform,
This exhibits P as a Fourier multiplier. A more general class of functions p which satisfy at most polynomial growth conditions in ξ under which this integral is well-behaved comprises the pseudo-differential operators.

Examples

The conceptual step of writing a differential operator as something free-standing is attributed to Louis François Antoine Arbogast in 1800.

Notations

The most common differential operator is the action of taking the derivative. Common notations for taking the first derivative with respect to a variable x include:
When taking higher, nth order derivatives, the operator may be written:
The derivative of a function f of an argument x is sometimes given as either of the following:
The D notation's use and creation is credited to Oliver Heaviside, who considered differential operators of the form
in his study of differential equations.
One of the most frequently seen differential operators is the Laplacian operator, defined by
Another differential operator is the Θ operator, or theta operator, defined by
This is sometimes also called the homogeneity operator, because its eigenfunctions are the monomials in z:
In n variables the homogeneity operator is given by
As in one variable, the eigenspaces of Θ are the spaces of homogeneous functions.
In writing, following common mathematical convention, the argument of a differential operator is usually placed on the right side of the operator itself. Sometimes an alternative notation is used: The result of applying the operator to the function on the left side of the operator and on the right side of the operator, and the difference obtained when applying the differential operator to the functions on both sides, are denoted by arrows as follows:
Such a bidirectional-arrow notation is frequently used for describing the probability current of quantum mechanics.

Adjoint of an operator

Given a linear differential operator
the adjoint of this operator is defined as the operator such that
where the notation is used for the scalar product or inner product. This definition therefore depends on the definition of the scalar product.

Formal adjoint in one variable

In the functional space of square-integrable functions on a real interval, the scalar product is defined by
where the line over f denotes the complex conjugate of f. If one moreover adds the condition that f or g vanishes as and, one can also define the adjoint of T by
This formula does not explicitly depend on the definition of the scalar product. It is therefore sometimes chosen as a definition of the adjoint operator. When is defined according to this formula, it is called the formal adjoint of T.
A self-adjoint operator is an operator equal to its own adjoint.

Several variables

If Ω is a domain in Rn, and P a differential operator on Ω, then the adjoint of P is defined in L2 by duality in the analogous manner:
for all smooth L2 functions f, g. Since smooth functions are dense in L2, this defines the adjoint on a dense subset of L2: P* is a densely defined operator.

Example

The Sturm-Liouville operator is a well-known example of a formal self-adjoint operator. This second-order linear differential operator L can be written in the form
This property can be proven using the formal adjoint definition above.
This operator is central to Sturm–Liouville theory where the eigenfunctions of this operator are considered.

Properties

Differentiation is linear, i.e.
where f and g are functions, and a is a constant.
Any polynomial in D with function coefficients is also a differential operator. We may also compose differential operators by the rule
Some care is then required: firstly any function coefficients in the operator D2 must be differentiable as many times as the application of D1 requires. To get a ring of such operators we must assume derivatives of all orders of the coefficients used. Secondly, this ring will not be commutative: an operator gD isn't the same in general as Dg. For example, we have the relation basic in quantum mechanics:
The subring of operators that are polynomials in D with constant coefficients is, by contrast, commutative. It can be characterised another way: it consists of the translation-invariant operators.
The differential operators also obey the shift theorem.

Ring of polynomial differential operators

Ring of univariate polynomial differential operators

If R is a ring, let be the non-commutative polynomial ring over R in the variables D and X, and I the two-sided ideal generated by DXXD − 1. Then the ring of univariate polynomial differential operators over R is the quotient ring. This is a simple ring. Every element can be written in a unique way as a R-linear combination of monomials of the form. It supports an analogue of Euclidean division of polynomials.
Differential modules over can be identified with modules over.