Jay, I'm not entirely sure I have you question correctly fathomed. Are you asking "how can we determine" or "how to express" that A is more chaotic than B? Thanks, Scot
I agree with Jesus in general, entropy would be a good place to start looking, but only if the question is clarified. Given identical starting input conditions. High entropy may easily mistaken for other forms of possibly linear distributions and therefore lead the observer to thinking a system is chaotic, when indeed it is not.
I do not think Jay's question is answerable completely unless he clarifies some details asked for.
A further consideration is that Jay just says "system is more chaotic than another chaotic system"... this is possibly a dangerous way to look at the problem. Chaos may (and often is) be present in a system ONLY within certain defined input conditions. 2 different systems with identical inputs may show non chaotic and chaotic behaviour and yet both be capable of producing chaotic attractors for some set of input conditions.
Try to measurre o estimate the unitial state and final state. Obatin and equilibirioum constant and how it changes with temperature. You can obtain and enthalpy. From there you can stimate an entropy value. Then you can refine these values. Happy new year. The differences in entropies can give you an idea of the difference in chaotic conditions.
Thank You all for your responses. I rewrite the question again clearly.
Let the system A and system B are both chaotic dynamical system. Let the first Lyapunov exponents for system A and system B are alpha and beta respectively and say alpha>beta. It appears from the responses that the system A is more chaotic than system B based on Lyapunov exponents characteristics and some available literature (attached here).
Is there any other quantitative measure to compare the chaoticness of the system A & B ?.
Besides positive lyapunov expontents and entropies, you can observe power spectrum: the more chaotic system is, more broad is its spectrum, and show less sharp peaks. Also, correlation dimension and Lyapunov (Kaplan-Yorke) dimension increases.
Some papers that can helps you:
Anishchenko, V. S., Okrokvertskhov, G. A., Vadivasova, T. E., & Strelkova, G. I. (2005). Mixing and spectral-correlation properties of chaotic and stochastic systems: numerical and physical experiments. New Journal of Physics, 7(1), 76.
Anishchenko, V. S., Vadivasova, T. E., Strelkova, G. I., & Okrokvertskhov, G. A. (2004). Statistical properties of dynamical chaos. Math. Biosciences and Engineering, 1(1), 161-184.
Anishchenko, V. S., Vadivasova, T. E., Okrokvertskhov, G. A., & Strelkova, G. I. (2003). Correlation analysis of dynamical chaos. Physica A: Statistical Mechanics and its Applications, 325(1), 199-212.