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Fourier-Laplace transforms of distributions with compact support and their imaginary zeros

Authors: Ho, Yuk Kuen;

Fourier-Laplace transforms of distributions with compact support and their imaginary zeros

Abstract

A nonzero polynomial is said to be positive if its coefficients are nonnegative. Motzkin and Straus [5] observe that if a real polynomial P(Z) has no positive zeros, then there is a positive polynomial Q(Z) such that P(Z).Q(Z) is positive. We interpret this analytically and prove analogous results for some real distributions with compact supports. These support the conjecture that for a real distribution with compact support, its Fourier-Laplace transform being positive on the imaginary axis implies that there is a positive distribution with compact support such that their convolution is positive. This is not proven here, but the converse to this and the next best statement after this are established. Also, some of the propositions enable us to return to prove some theorems on polynomials.

Country
China (People's Republic of)
Keywords

Positive-definite functions, Theory of distributions (Functional analysis), 515, Fourier transformations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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