Malgrange–Ehrenpreis Theorem
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In mathematics, the Malgrange–Ehrenpreis theorem states that every non-zero linear
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 retur ...
with
constant coefficients In mathematics, a linear differential equation is a differential equation that is linear in the unknown function and its derivatives, so it can be written in the form a_0(x)y + a_1(x)y' + a_2(x)y'' \cdots + a_n(x)y^ = b(x) where and are arbi ...
has a
Green's function In mathematics, a Green's function (or Green function) is the impulse response of an inhomogeneous linear differential operator defined on a domain with specified initial conditions or boundary conditions. This means that if L is a linear dif ...
. It was first proved independently by and . This means that the differential equation :P\left(\frac, \ldots, \frac \right) u(\mathbf) = \delta(\mathbf), where P is a polynomial in several variables and \delta is the
Dirac delta function In mathematical analysis, the Dirac delta function (or distribution), also known as the unit impulse, is a generalized function on the real numbers, whose value is zero everywhere except at zero, and whose integral over the entire real line ...
, has a distributional solution u. It can be used to show that :P\left(\frac, \ldots, \frac \right) u(\mathbf) = f(\mathbf) has a solution for any compactly supported distribution f. The solution is not unique in general. The analogue for differential operators whose coefficients are polynomials (rather than constants) is false: see
Lewy's example In the mathematical study of partial differential equations, Lewy's example is a celebrated example, due to Hans Lewy, of a linear partial differential equation with no solutions. It shows that the analog of the Cauchy–Kovalevskaya theorem does ...
.


Proofs

The original proofs of Malgrange and Ehrenpreis did not use explicit constructions as they used the
Hahn–Banach theorem In functional analysis, the Hahn–Banach theorem is a central result that allows the extension of bounded linear functionals defined on a vector subspace of some vector space to the whole space. The theorem also shows that there are sufficient ...
. Since then several constructive proofs have been found. There is a very short proof using the Fourier transform and the
Bernstein–Sato polynomial In mathematics, the Bernstein–Sato polynomial is a polynomial related to differential operators, introduced independently by and , . It is also known as the b-function, the b-polynomial, and the Bernstein polynomial, though it is not related ...
, as follows. By taking
Fourier transform In mathematics, the Fourier transform (FT) is an integral transform that takes a function as input then outputs another function that describes the extent to which various frequencies are present in the original function. The output of the tr ...
s the Malgrange–Ehrenpreis theorem is equivalent to the fact that every non-zero polynomial P has a distributional inverse. By replacing P by the product with its
complex conjugate In mathematics, the complex conjugate of a complex number is the number with an equal real part and an imaginary part equal in magnitude but opposite in sign. That is, if a and b are real numbers, then the complex conjugate of a + bi is a - ...
, one can also assume that P is non-negative. For non-negative polynomials P the existence of a distributional inverse follows from the existence of the Bernstein–Sato polynomial, which implies that P^s can be analytically continued as a meromorphic distribution-valued function of the complex variable s; the
constant term In mathematics, a constant term (sometimes referred to as a free term) is a term in an algebraic expression that does not contain any variables and therefore is constant. For example, in the quadratic polynomial, :x^2 + 2x + 3,\ The number 3 i ...
of the Laurent expansion of P^s at s=-1 is then a distributional inverse of P. Other proofs, often giving better bounds on the growth of a solution, are given in , and . gives a detailed discussion of the regularity properties of the fundamental solutions. A short constructive proof was presented in : : E=\frac \sum_^m a_j e^ \mathcal^_\left(\frac\right) is a
fundamental solution In mathematics, a fundamental solution for a linear partial differential operator is a formulation in the language of distribution theory of the older idea of a Green's function (although unlike Green's functions, fundamental solutions do not ...
of P(\partial), i.e., P(\partial)E=\delta, if P_m is the principal part of P, \eta\in\mathbb^n with P_m(\eta)\neq 0, the real numbers \lambda_0,\ldots,\lambda_m are pairwise different, and :a_j=\prod_^m(\lambda_j-\lambda_k)^.


References

* * * * * * * * * {{DEFAULTSORT:Malgrange-Ehrenpreis theorem Differential equations Theorems in mathematical analysis Schwartz distributions