In the context of chaotic dynamical systems with exponential divergence of
nearby trajectories in phase space, hyperchaos is defined as a state where
there is divergence or stretching in at least two directions during the
evolution of the system. Hence the detection and characterization of a
hyperchaotic attractor is usually done using the spectrum of Lyapunov Exponents
(LEs) that measure this rate of divergence along each direction. Though
hyperchaos arise in different dynamical situations and find several practical
applications, a proper understanding of the geometric structure of a
hyperchaotic attractor still remains an unsolved problem. In this paper, we
present strong numerical evidence to suggest that the geometric structure of a
hyperchaotic attractor can be characterized using a multifractal spectrum with
two superimposed components. In other words, apart from developing an extra
positive LE, there is also a structural change as a chaotic attractor makes a
transition to the hyperchaotic phase and the attractor changes from a simple
multifractal to a dual multifractal, equivalent to two inter-mingled
multifractals. We argue that a cross-over behavior in the scaling region for
computing the correlation dimension is a manifestation of such a structure. In
order to support this claim, we present an illustrative example of a
synthetically generated set of points in the unit interval (a Cantor set with a
variable iteration scheme) displaying dual multifractal spectrum. Our results
are also used to develop a general scheme to generate both hyperchaotic as well
as high dimensional chaotic attractors by coupling two low dimensional chaotic
attractors and tuning a time scale parameter.Comment: 21 pages, 9 figures, To appear in Chaos Solitons & Fractal