Epstein Secrets

city. However, while a few contractors (including GM Hughes, Grumman, and McDonnell Douglas) have div

figures 1.1.1-3 above. This data suggests that a Maxwell-Boltzmann distribution also provides a very good

rprising, as it is known that the log- normal and the Maxwell-Boltzmann have exponential tails, and so are not

rom top to bottom. But this still results in a distribution with a large bias giving most of the wealth to a minority of individuals. Going back to the Lotka-Volterra and GLV models discussed in section 1.2, it is better to abandon the predator-prey model of foxes killing rabbits, and instead think in terms of a '

e should fit together in this way, and in fact it wasn't until many years later that the equation was independently explained at an atomic level by Maxwell and Boltzmann. Thirdly, the equations do not refer to underlying microscopic mechanisms or variables. In equation (4.7a) there are no references to

l regularity and predictability in the aggregate. The Maxwell-Boltzmann-Gibbs methods of statistical mechanics

this is a chaotic model, not a stochastic one. There is no stochasticity in this model. All fluctuations in the model are created endogenously from the Lotka-Volterra like differential equations in the model. Figure 4.3.4 shows the detail of couple of cycles. Figure 4.3.4 here These are real live Minskian / Aus

ssipative structure approach, presumably there is a negentropy flow associated with 'maintaining' the dissipative structure in its low entropy form; Maxwell's demon is continually at work narrowing the spread of the distribution. However if this negentropy flow is smaller than the entropy flow through t

distribution [Levy & Solomon 1996]. In contrast the Maxwell-Boltzmann distribution of a normal thermodynamic

al and ecological scientists have the right mathematical tools for creating a radical and effective new economics, both specifically in the form of the Lotka-Volterra and maximum entropy production models, and more generally in their understanding of complex inter-related evolving systems. Ultimately this maths f