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Associativity of distribution convolution under compact support
Statement
If and at least two have compact support, both bracketings exist and . Whenever at least one of has compact support, For every , and . These assertions hold in ZF.
Facts & Assumptions
Permitted convolution is bilinear, commutative, cutoff-independent and supported in the sum of the supports (Convolution of distributions is well defined under the support hypothesis).
Tensor products have product support, associate, and commute with factor derivatives (Tensor product distributions and iterated pairings).
Derivatives are signed test transposes; Dirac evaluates a test at zero (Distributional derivative, Dirac delta and its derivatives).
Compactly supported distributions extend to smooth functions by a cutoff equal to one near their support (Compactly supported distributions extend to smooth functions); such cutoffs exist (Test function cutoffs and euclidean localization).
Support means local vanishing, and multiplication by a smooth function is test multiplication (Support of a distribution, Multiplication of a distribution by a smooth function).
Proof
Given: the indicated compact-factor hypotheses.
First suppose all three supports are compact. By F4 every pairing with a smooth function may use a product of cutoffs equal to one near the three supports. Expanding either bracketed convolution on a test then gives the same nested pairing : for example the inner pairing is smooth, and the smooth extension of pairs it with ; inserting the three fixed cutoffs makes this exactly the tensor definition. F2's associativity identifies the bracketings. The equality holds also for all smooth by the same cutoffs.
In the general case let be the possibly noncompact factor and the two compact supports of the other factors. For a fixed compact test support , the closed set is compact. Choose near with compact support, and write , where . The support of is contained in and avoids a neighborhood of , so is disjoint from . This last sum is closed: add the compact set to the closed support of , using F1's compact-sum argument. Every permitted bracketing containing has support in that sum by F1 twice, and hence pairs to zero on tests supported in . Both bracketings exist: either an inner pair is compactly supported, or the outer factor is one of the compact factors. Bilinearity therefore reduces both bracketings on this test to those with . They agree by step 1.1. Since was arbitrary, associativity follows.
Derivatives have support contained in the original support by F3 and F5, so all asserted convolutions are permitted. For a test use a cutoff equal to one near , where . The tensor derivative formula and F3 yield [step 2.1, F1, F2, F3, F5] Every term differentiating is zero near the tensor support: on the relevant intersection all such derivatives vanish, and outside it all derivatives of vanish locally. These terms therefore pair to zero. The remaining term is , giving the first identity. Differentiating in gives the other one, with the same total sign.
In the cutoff definition of , take a product cutoff with its first factor equal to one near zero and its second equal to one near . Evaluating the first pairing at zero leaves exactly by F3. The differentiated identity follows from step 3.1. Zero factors give zero throughout; order zero gives the identity derivative. Only finitely many cutoffs occur for each fixed test. No associativity is asserted merely from pairwise existence without the stated two-compact-factor hypothesis.
Depends on
- Convolution of distributions is well defined under the support hypothesis
- Tensor product distributions and iterated pairings
- Distributional derivative
- Dirac delta and its derivatives
- Compactly supported distributions extend to smooth functions
- Test function cutoffs and euclidean localization
- Support of a distribution
- Multiplication of a distribution by a smooth function
Used by
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Sources
- Semyon Dyatlov, Lecture notes for 18.155 (2022) (standard reference, not scraped)