Description
Book SynopsisThe monograph applies sophisticated topological symmetry tools to biological applications of information theory, along with a Black-Scholes model invocation of the Data Rate Theorem which links information and control theories. The focus is on statistical mechanics and other models that explore pathological phase transitions — driven by changes in available rates of mitochondrial free energy — in physiological functions, a cutting-edge topic in the study of chronic disease. One of the key focuses is Alzheimer's disease — a relatively simple canonical example.
Table of ContentsMathematical Preliminaries; A Symmetry-Breaking Model; A Data Rate Theorem Model; A Mutual Information Model; A Fragment Size Model; Extending the Perspective; Embodiment and Environment; Chronic Inflammation; What is to be Done?; Mathematical Appendix;
