Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-25T04:11:59.016Z Has data issue: false hasContentIssue false

A Characterization of the Minkowski Norms

Published online by Cambridge University Press:  20 November 2018

C. L. Anderson*
Affiliation:
Department of Statistics University Southwestern Louisiana Lafayette, Louisiana 70504-1010 USA
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

If n > 2 and M(m1,..., xn) is a symmetric norm of the form m(x1, m(x2, m{...)...), where m is a symmetric norm on ℝ2, then m(x, y) = (|x|p + |y|p)1/p for some p ≥ 1 or else m(x, y) = max{|x|,|y|}.

Keywords

Type
Research Article
Copyright
Copyright © Canadian Mathematical Society 1991

References

1. Mizel, V. and Sundaresan, K., Banach sequence spaces, Arch. Math. 19 (1968), 5969.Google Scholar
2. Anderson, C. L. and McKnight, C. K., Iterative sequential norms, Arch. Math. 23 (1972), 5053.Google Scholar
3. Anderson, Charles. Gamma variätes of fractional shape as Junctionals of a homogeneous multidimensional Poisson process, Commun. Statist. -Simula. 17(3)(1988), 781787.Google Scholar
4. Kennedy, William J. Jr. and James Gentle, E., Statistical computing. Marcel Dekker, New York, 1980.Google Scholar
5. Zahnen, A. C., Linear analysis. North-Holland, Amsterdam, 1964.Google Scholar
6. Ruckle, William, On the construction of sequence spaces that have Schauder bases, Can. J. of Math. 18 (1966), 12811293.Google Scholar