a1 School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, NSW 2522, Australia (email: peter_nickolas@uow.edu.au)
a2 Institut für Mathematik, Universität Salzburg, Hellbrunnerstrasse 34, A-5020 Salzburg, Austria (email: Reinhard.Wolf@sbg.ac.at)
Abstract
Let (X,d) be a compact metric space and let
(X) denote the space of all finite signed Borel measures on X. Define I:
(X)→
by
![\[ I(\mu ) = \int _X \! \int _X d(x,y) \,d\mu (x) \,d\mu (y), \]](/fulltext_content/BAZ/BAZ80_01/S0004972708000932_eqnU1.gif)
(X) of total mass 1. The metric space (X,d) is quasihypermetric if for all n
, all α1,…,αn
satisfying ∑ i=1nαi=0 and all x1,…,xn
X, the inequality ∑ i,j=1nαiαjd(xi,xj)≤0 holds. Without the quasihypermetric property M(X) is infinite, while with the property a natural semi-inner product structure becomes available on
0(X), the subspace of
(X) of all measures of total mass 0. This paper explores: operators and functionals which provide natural links between the metric structure of (X,d), the semi-inner product space structure of
0(X) and the Banach space C(X) of continuous real-valued functions on X; conditions equivalent to the quasihypermetric property; the topological properties of
0(X) with the topology induced by the semi-inner product, and especially the relation of this topology to the weak-* topology and the measure-norm topology on
0(X); and the functional-analytic properties of
0(X) as a semi-inner product space, including the question of its completeness. A later paper [P. Nickolas and R. Wolf, Distance geometry in quasihypermetric spaces. II, Math. Nachr., accepted] will apply the work of this paper to a detailed analysis of the constant M(X).(Received March 10 2008)
2000 Mathematics subject classification
Keywords and phrases
Correspondence:
c1 For correspondence; e-mail: peter˙nickolas@uow.edu.au
Footnotes
The authors are grateful for the financial support and hospitality of the University of Salzburg and the Centre for Pure Mathematics in the School of Mathematics and Applied Statistics at the University of Wollongong.