By Don S. Lemons

Striving to discover the topic in as easy a fashion as attainable, this publication is helping readers comprehend the elusive notion of entropy. leading edge elements of the booklet contain the development of statistical entropy from wanted houses, the derivation of the entropy of classical structures from in basic terms classical assumptions, and a statistical thermodynamics method of the proper Fermi and excellent Bose gases. Derivations are labored via step by step and demanding functions are highlighted in over 20 labored examples. round 50 end-of-chapter routines try readers' figuring out. The e-book additionally includes a word list giving definitions for all crucial phrases, a time line exhibiting very important advancements, and record of books for additional learn. it really is an awesome complement to undergraduate classes in physics, engineering, chemistry and mathematics.

Focuses on foundations and illustrative examples to aid readers comprehend the starting place and reasons of the idea that of entropy

Treats entropy throughout a number themes, from thermodynamics, classical and quantum statistical mechanics, and data theory

Gives improved derivations, taking readers via every one step-by-step

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**Extra info for A Student's Guide to Entropy**

**Sample text**

What is its entropy increase? 4 Isothermal compression of ideal gas Consider an ideal gas whose pressure equation of state is PV = nRT and whose internal energy E E (T ) is an unknown function of temperature. What is the increase in its entropy ΔS [ S f Si ] as the gas volume is changed from an initial value Vi to a inal value V f while keeping the temperature T constant? 12. Find the net entropy increment ΔS SC − S A per mole of ideal gas. 6 Valid and invalid equations of state In the following luid equations of state the symbols a and b stand for positive constants that are independent of all thermodynamic variables.

Show that the most probable macrostate is one in which the two chambers contain equal numbers of particles. Solution: The probability P(n) of a macrostate with n classical, and so distinguishable, particles in the rightmost chamber and N − n particles in the leftmost chamber is P ( n) = N! ( N − n)! ⎝ 2 ⎠ N where the binomial coeficient N ! ⎤⎦ is the multiplicity Ω of this N macrostate and (1 2 ) is the probability of any one microstate of this macrostate. A few empirical tests for small values of N suggest that the value of n that maximizes P(n) is approximately N/2 – in which case the two chambers have equal numbers of particles.

The particle relects smoothly and elastically from the sides of the box in such a way that it periodically retraces its path. When we superimpose a uniform grid that identiies the spatial microstates available to this two-dimensional, single-particle system, we see that its microstates are not all equally probable. In fact, most of the system microstates are never occupied. Furthermore, adding more particles to this box may not help realize the fundamental postulate unless the particles are allowed to interact and even then special initial conditions may exist for which not all the possible microstates are realized with equal probability.