dynamics between them can now be implemented if the system of particles being simulated is sufficiently small and the computer simulation is for very short times. To transform the entropy into something more statistical and global, we return to the theoretical work of Ludwig Boltzmann whose formalism was used previously to quantitate pathological developmental simplification. He assumed that given a set of constraints, say the closed volume, V, of a box, B, of a fixed size, V (B), the orbit of each particle would eventually explore all the space in the box that was available to it. Boltzmann’s entropy became a constraint dependent, n- dimensional volume measure, with the assumption that the entropy, S, equals the logarithm of this volume measure, S = /n V (B). To calculate a value for the entropy, compute the volume of the molecular motion as determined by the invariant constraints of the system, such as the volume, temperature, pressure and/or its total number of molecules. We may partition, discretize, the volume up to some limit of resolution such that it is divided into © small boxes, each containing the representation of a particular state. Making the same _ assumptions of closed system, equilibrium thermodynamics, such a system is completely isolated from outside sources of matter and energy, it spends equal time in each of its Q available states. In such a case, the characteristic occupancy time of any state is inverse to the number of States available, e.g. 1/0, and the system’s entropy is maximal for that set of states. Under these conditions, S = k In(Q), where the k term is the Boltzmann constant that contributes to the numeric units of entropy, as above, in Joules of heat /degrees Kelvin of the temperature. If the system is in contact with a heat bath, but cannot exchange matter with its environment, it is called diathermally isolated. The distribution of times spent in the available states of a classical diathermally isolated system of gas molecules c