Exploring transitions to chaos in complex systems

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Alberto Robledo shows how mathematical laws can explain different types of complex systems.

Previously, Dr Alberto Robledo of Instituto de Física, Universidad Nacional Autónoma de México (UNAM) showed how transitions to chaos in nonlinear systems can be expressed in the language of statistical mechanics. Additionally, in his studies he shows how the same mathematical laws can link these transitions to the behaviours of different types of complex systems. His results may lead to […]

Obtaining Tsallis entropy at the onset of chaos

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Statistical mechanics aims to understand how thermodynamic systems with large numbers of particles evolve over time.

Tsallis entropy aims to extend traditional statistical mechanics, but some physicists believe the theory is incompatible with the fundamental principles of thermodynamics. Dr Alberto Robledo of Instituto de Física, Universidad Nacional Autónoma de México (UNAM) shows for the first time how Tsallis entropy can explain natural phenomena that turn out to be surprisingly linked to the transitions from regular to […]