## 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

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

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 anexplicit 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

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**theprobability 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