Use . For a nonzero one-variable polynomial and , a compactly supported solution to exists exactly when annihilates every smooth solution of the transposed equation . For simple roots , these test solutions span the exponentials , so the condition is . Dividing the entire transform by and applying polynomial division preservation of exponential type and the Paley–Wiener–Schwartz theorem constructs the compactly supported solution. It is unique because an entire function killed by a nonzero polynomial must vanish identically. For a root of multiplicity , the conditions become for , corresponding to .
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 327 1 Solution Created 2026-10-03 Updated 2026-10-06
Use the Fourier transform convention and , so . All distribution pairings use complex bilinearity, and the formal transpose is , without complex conjugation of the coefficients. If instead denotes , the Fourier multiplier is ; the argument below is unchanged after this substitution.
For a nonempty compact convex set , let be its support function. The Paley–Wiener–Schwartz theorem says that the Fourier transform is a bijection between distributions supported in and entire functions on for whichfor some and nonnegative integer . In particular, support in is equivalent to the bound with . Convexity is essential in the precise support formulation: the support function of a set equals that of its convex hull.
Suppose first that is a compactly supported distribution with support in . Define , inserting any cutoff function equal to one near when viewing on test functions. A fixed cutoff and the finite order of a distribution estimate permit differentiation of the pairing in each complex variable, giving . The exponential function's power series converges with every required derivative on a fixed compact set; hence is an entire function. On real frequencies it agrees with the Fourier transform of a compactly supported distribution.
The exact exponential indicator needs a shrinking cutoff function, rather than one fixed outside . Choose near , with support in and for . Such a cutoff is obtained by convolving the indicator of with a mollifier supported in . On one fixed ball containing all these supports, the finite order of a distribution bound isThe Leibniz rule applied to therefore givesTaking proves the required bound, with and a fixed additional factor at most .
Conversely, suppose is an entire function with the displayed bound. Its real restriction has polynomial growth, so its inverse Fourier transform defines a tempered distribution byRapid decay of the Schwartz function makes this integral absolutely convergent and continuous in the Schwartz space topology.
To determine the support of a distribution, take a test function supported in a half-space , where and . The contour-shift proof of the Paley–Wiener–Schwartz theorem gives, for each ,Here is the estimate that justifies both the shift and its limiting use. Since , repeated integration by parts with yieldsFor fixed , the same estimate is uniform over the imaginary strip from to . Rotate coordinates so is the first coordinate direction, apply the Cauchy integral theorem on truncated rectangles, and let their real edges tend to infinity. If , the boundary integrals vanish and the horizontal integrals converge absolutely; thus the claimed shift is valid. Using now bounds the pairing bywhich tends to zero. A separating hyperplane exists at every point outside the compact convex set . A finite partition of unity on the support of any exterior test function reduces it to such half-spaces, so . Fourier inversion gives uniqueness; the entire transform of this agrees with on and hence everywhere, by applying the one-variable identity theorem successively in each coordinate. This completes both directions.
Now apply this theorem to compact support solvability for a constant-coefficient ordinary differential equation. If is a nonzero constant, its kernel is zero and is the unique solution. Otherwise writeThe solution space of isIndeed these exponentials solve the equation, their initial derivative vectors have a nonzero Vandermonde determinant, and uniqueness for the order- ordinary differential equation makes them a basis. Pairing with any such solution proves necessity:
For sufficiency, choose with and let . The assumed annihilation is precisely for every . Since all roots of a polynomial are simple, has removable singularities at every root and is an entire function. Outside one disk, . Inside that disk, the extended is bounded. The polynomial division preservation of exponential type therefore givesThe Paley–Wiener–Schwartz theorem produces a compactly supported distribution with transform , supported in the same interval. Then , so Fourier inversion gives . ThusThe compactly supported solution is unique: forces the entire transform to vanish off the finitely many roots and hence everywhere. With repeated roots, the corresponding condition would also require derivatives , or pairing with , up to one less than each multiplicity.