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Lecture-Notes (Thermodynamics) - niser

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4.8. ENTROPY AND DISORDER 37<br />

By introducing the isochore pressure coefficient<br />

it is possible to rewrite CP − CV as<br />

Indeed,<br />

β = 1<br />

P<br />

α<br />

kT<br />

⇒ CP − CV = α2<br />

β = 1<br />

P<br />

4.8 Entropy and disorder<br />

kT<br />

<br />

∂P<br />

∂T V<br />

β 2 TV kTP 2 .<br />

⇒ α = βPkT ⇒<br />

TV = β2 P 2 k 2 T<br />

kT<br />

,<br />

TV = β 2 TV kTP 2 .<br />

We want now to establish a connection between thermodynamics and statistical mechanics,<br />

which we will be learning in the second half of the course.<br />

1. We give a definition of the multiplicity of a macrostate as<br />

⎛<br />

number of microstates<br />

multiplicity of<br />

= ⎝ that correspond to the<br />

a macrostate<br />

macrostate<br />

2. The entropy can be defined in terms of the multiplicity as<br />

S ≡ k ln (multiplicity) .<br />

We shall see in statistical mechanics that this definition is equivalent to the phenomenological<br />

concept we have learnt previously in this section.<br />

3. With the above definition of entropy at hand, we can formulate the second law of<br />

thermodynamics in this way:<br />

4.<br />

”If an isolated system of many particles is allowed to change, then, with large probability,<br />

it will evolve to the macrostate of largest entropy and will remain in that<br />

macrostate.”<br />

(energy input by heating)<br />

∆Sany system ≥ ,<br />

T<br />

where T is the temperature of the reservoir.<br />

5. If two macroscopic systems are in thermal equilibrium and in thermal contact, the<br />

entropy of the composite system equals the sum of the two individual entropies.<br />

⎞<br />

⎠.

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