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Riesz Decompositions

Published online by Cambridge University Press:  20 November 2018

Alexander Nagel
Affiliation:
University of Wisconsin, Madison, Wisconsin
Walter Rudin
Affiliation:
University of Wisconsin, Madison, Wisconsin
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All functions mentioned in this paper will be real-valued. If f1, f2, g are nonnegative functions on a set S that satisfy g ≦ f1 + f2, the Riesz decomposition problem associated with these data is to find functions gi on S such that

The formula

always furnishes a solution. The problem becomes more interesting if one asks under what conditions one can find solutions that are, roughly speaking, as smooth as the data.

Type
Research Article
Copyright
Copyright © Canadian Mathematical Society 1974

References

1. Buck, R. C., The Riesz property of a partially ordered linear space, Notices Amer. Math. Soc. 5 (1958), p. 31.Google Scholar
2. Dieudonné, Jean, Sur un théorème de Glaeser, J. Analyse Math. 23 (1970), 8588.Google Scholar
3. Namioka, Isaac, Partially ordered linear topological spaces, Mem. Amer. Math. Soc. 24 (1957).Google Scholar
4. Rudin, Walter, Real and complex analysis (McGraw-Hill, New York, 1966).Google Scholar
5. Schaefer, Helmut, Halbgeordnete lokalkonvexe Vektorräume, Math. Ann. 141 (1960), 113142.Google Scholar