Statistical Physics, Volume 5Elementary college physics course for students majoring in science and engineering. |
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Page 66
Thus the number Mors of systems exhibiting jointly both r and s is simply JYrs =
Mr.P. Correspondingly the probability of joint occurrence of both r and s is given
by Hence we conclude that if the events r and s are statistically independent, Prs
...
Thus the number Mors of systems exhibiting jointly both r and s is simply JYrs =
Mr.P. Correspondingly the probability of joint occurrence of both r and s is given
by Hence we conclude that if the events r and s are statistically independent, Prs
...
Page 80
Such mean values, however, may often be calculated very simply without an
explicit knowledge of the probabilities, even in cases where the actual
computation of these probabilities would be a difficult task. We shall illustrate
these remarks in ...
Such mean values, however, may often be calculated very simply without an
explicit knowledge of the probabilities, even in cases where the actual
computation of these probabilities would be a difficult task. We shall illustrate
these remarks in ...
Page 117
The probability P that the parameter assumes the value yi is then simply the
probability that the system is found among the Qi states characterized by this
value yi. Thus P. is obtained by summing 1/Q (the probability of finding the
system in any ...
The probability P that the parameter assumes the value yi is then simply the
probability that the system is found among the Qi states characterized by this
value yi. Thus P. is obtained by summing 1/Q (the probability of finding the
system in any ...
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Contents
Characteristic Features of Macroscopic Systems | 1 |
A I | 2 |
I | 6 |
Copyright | |
26 other sections not shown
Common terms and phrases
absolute temperature absorbed accessible approximation assume atoms average Avogadro's calculate classical collision Consider constant container corresponding cules denote discussion distribution ensemble entropy equal equilibrium situation equipartition theorem example exchange energy expression external parameters fluctuations function given heat capacity heat Q heat reservoir Hence ideal gas initial internal energy interval isolated system kinetic energy large number left half liquid ln Q macroscopic parameters macroscopic system macrostate magnetic field magnetic moment magnitude mass mean energy mean number mean pressure mean value measured mechanics mole molecular momentum number of molecules occur oscillator particle particular partition phase space piston position possible values Prob quantity quantum numbers quasi-static random relation result simply solid specific heat spin system statistical statistical ensemble statistically independent Suppose thermal contact thermal interaction thermally insulated thermometer tion total energy total magnetic total number unit volume velocity