arXiv · 2103.11230
Legendre transformation and information geometry for the maximum entropy theory of ecology
Abstract
Here I investigate some mathematical aspects of the maximum entropy theory of ecology (METE). In particular I address the geometrical structure of METE endowed by information geometry. As novel results, the macrostate entropy is calculated analytically by the Legendre transformation of the log-normalizer in METE. This result allows for the calculation of the metric terms in the information geometry arising from METE and, by consequence, the covariance matrix between METE variables.
Explore related subjects
Keep this discovery
Pedro Pessoa. 2021-03-20. Legendre transformation and information geometry for the maximum entropy theory of ecology. https://doi.org/10.3390/psf2021003001
Cite the original work for its findings. Save a collection to share your selection of sources.