Sequence spaces and asymmetric norms in the theory of computational complexity

Sequence spaces and asymmetric norms in the theory of computational complexity

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Article ID: iaor2004629
Country: Netherlands
Volume: 36
Issue: 1/2
Start Page Number: 1
End Page Number: 11
Publication Date: Jul 2002
Journal: Mathematical and Computer Modelling
Authors: , ,
Abstract:

In 1995, Schellekens introduced the complexity (quasi-metric) space as a part of the development of a topological foundation for the complexity analysis of algorithms. Recently, Romaguera and Schellekens have obtained several quasi-metric properties of the complexity space which are interesting from a computational point of view, via the analysis of the so-called dual complexity space. Here, we extend the notion of the dual complexity space to the p-dual case, with p > 1, in order to include some other kinds of exponential time algorithms in this study. We show that the dual p-complexity space is isometrically isomorphic to the positive cone of lp endowed with the asymmetric norm ∥ . ∥+p given on lp by x+p = n=0((xn ∨ 0)p)]1/p, where x : = (xn)n∈ω. We also obtain some results on completeness and compactness of these spaces.

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