## Statistical Physics, Volume 5Elementary college physics course for students majoring in science and engineering. |

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Page 74

What then is the probability P(n) that any n out of these N events do occur (while

the remaining n = N — n events do not occur)? This question is immediately

answered by the binomial

What then is the probability P(n) that any n out of these N events do occur (while

the remaining n = N — n events do not occur)? This question is immediately

answered by the binomial

**distribution**(14). Indeed, in our specific example of a ...Page 356

A.2 The Poisson

correspond to a mean value n = A of A = } and A = 2. Hence ln y > —Np Or y = (1

— p)N-" ~ e-NP. (22) Using the approximations (21) and (22) in the expression ...

A.2 The Poisson

**distribution**P(n) of (23) as a function of n. The two cases showncorrespond to a mean value n = A of A = } and A = 2. Hence ln y > —Np Or y = (1

— p)N-" ~ e-NP. (22) Using the approximations (21) and (22) in the expression ...

Page 374

If one considers an element of quartz area of size b2 (where b is of the order of a

metal-atom diameter), show that the number of metal atoms piled up on this area

should be approximately

If one considers an element of quartz area of size b2 (where b is of the order of a

metal-atom diameter), show that the number of metal atoms piled up on this area

should be approximately

**distributed**according to a Poisson**distribution**.### What people are saying - Write a review

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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