  There are many information and divergence measures exist in the literature on
information theory and statistics. The most famous among them are
Kullback-Leiber's (1951)relative information and Jeffreys (1946) J-divergence,
Information radius or Jensen difference divergence measure due to Sibson (1969)
also known in the literature. Burbea and Rao (1982) has also found its
applications in the literature. Taneja (1995) studied another kind of
divergence measure based on arithmetic and geometric means. These three
divergence measures bear a good relationship among each other. But there are
another measures arising due to J-divergence, JS-divergence and AG-divergence.
These measures we call here relative divergence measures or non-symmetric
divergence measures. Here our aim is to obtain bounds on symmetric and
non-symmetric divergence measures in terms of relative information of type s
using properties of Csiszar's f-divergence.
