Explaining Bio-coding: the Concept of Stability
Karl Javorszky · 2005
Entropy describes one of the possible ultimate states of an autoregulated system. We contrast the entropy concept with that of a functioning homeostatic system (a system which does not degenerate into entropy). Among the many aspects of a semi-stable homeostatic system (e.g. of the system we assume theoretical genetics to manage) to discuss, in this paper we concentrate on the property of several concurrent closed random walks necessary in a model of a homeostatic system. A closed random walk in an lnE(n)-dimensional space (if the set under discussion consists of n objects; E(n) denotes the number of partitions of n) generates effects which can be quite surprising. The cells in the lnE(n)-dimensional matrix are ordered along properties of logical assertions (and of their combinations). We look into properties of additions and find neighbourhood relations which can help explaining some phaenomena. In this paper, we contrast the properties of a closed random walk to those of a system that degenerates into entropy. We conceptualise the circle as a special case of a closed random walk. The style is that of an essay in natural philosophy.