## Fundamentals of statistical and thermal physics |

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Page 8

Thus one can assert

characterized by the respective probabilities p = probability that the step is to the

right and q = 1 — p = probability that the step is to the left Now, the probability of

any one ...

Thus one can assert

**simply**that, irrespective of past history, each step ischaracterized by the respective probabilities p = probability that the step is to the

right and q = 1 — p = probability that the step is to the left Now, the probability of

any one ...

Page 91

Once the systems are randomly distributed over the 12/ states,

or reimposing a constraint cannot cause the systems to move spontaneously out

of some of their possible states so as to occupy a more restricted class of states.

Once the systems are randomly distributed over the 12/ states,

**simply**imposingor reimposing a constraint cannot cause the systems to move spontaneously out

of some of their possible states so as to occupy a more restricted class of states.

Page 507

since the integral is

10). But here we have not introduced any approximations concerning the velocity

dependence of t, since only the value of r for electrons near the Fermi energy is ...

since the integral is

**simply**equal to n. The relation (13-4- 12) is similar to (13-4 -10). But here we have not introduced any approximations concerning the velocity

dependence of t, since only the value of r for electrons near the Fermi energy is ...

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User Review - JJMAlmeida - LibraryThingNever mind that this book was published in the mid '60s (before I was even born); if you must choose one book to learn from, choose this one. It is so concise, so well thought out that I have yet to ... Read full review

### Contents

Introduction to statistical methods | 1 |

GENERAL DISCUSSION OF THE RANDOM WALK | 24 |

Statistical description of systems of particles | 47 |

Copyright | |

26 other sections not shown

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### Common terms and phrases

absolute temperature approximation assume atoms becomes Boltzmann equation calculate canonical distribution chemical potential classical coefficient collision condition Consider constant container corresponding curve denote density depends derivatives discussion electrons ensemble entropy equal equation equilibrium situation equipartition theorem evaluated example expression external parameters fluctuations frequency gases given heat capacity heat reservoir Hence ideal gas independent infinitesimal integral integrand interaction internal energy isolated system kinetic liquid macrostate magnetic field mass maximum mean energy mean number mean pressure mean value measured metal molar mole molecular momentum number of molecules number of particles obtains partition function perature phase space photons physical piston position probability problem quantity quantum quantum mechanics quasi-static radiation range relation result satisfy simply solid specific heat spin statistical mechanics Suppose theorem thermal contact thermally insulated Thermodynamics tion total energy total number unit volume variables velocity