introduction to thermostatics and statistical mechanics

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Introduction to Thermostatics and Statistical Mechanics A typical physical system has N A = 6.023 X 10 23 particles. •Each particle has 3 positions and 3 momentums. •Thus there are around 10 24 degrees of freedom •But we see that in day to day life, we do not need to specify that many variables •For example we need to specify only temperature (T), volume (V), and number of moles (N) of the gas in the room and we specify the system completely. •This is almost a miracle. The reason for this miracle is that: We are interested in processes that are slow on time- scales of atomic vibrations and occur at larger length scales than the atomic spacing. The symmetries of most system work in such a way that of the 10 24 degrees of freedom we are left with only a few variables. •The 10 24 variables are called microvariables.

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Introduction to Thermostatics and Statistical Mechanics. A typical physical system has N A = 6.023 X 10 23 particles. Each particle has 3 positions and 3 momentums. Thus there are around 10 24 degrees of freedom - PowerPoint PPT Presentation

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Page 1: Introduction to Thermostatics and Statistical Mechanics

Introduction to Thermostatics and Statistical Mechanics

•A typical physical system has NA = 6.023 X 1023 particles.

•Each particle has 3 positions and 3 momentums.

•Thus there are around 1024 degrees of freedom

•But we see that in day to day life, we do not need to specify that many variables

•For example we need to specify only temperature (T), volume (V), and number of moles (N) of the gas in the room and we specify the system completely.

•This is almost a miracle. The reason for this miracle is that:

• We are interested in processes that are slow on time-scales of atomic vibrations and occur at larger length scales than the atomic spacing. The symmetries of most system work in such a way that of the 1024 degrees of freedom we are left with only a few variables.

•The 1024 variables are called microvariables.

•The variables (for example, T, V, N) are called macrovariables.

Page 2: Introduction to Thermostatics and Statistical Mechanics

Microstates and Macrostates

• Described by microstate {pi, qi}. The position and momentum of all particles.

• 3 positions, qi and 3 momentums, pi per particle. So in all (3+3) X 1023 microvariables.

• Macrostate described by 3 quantities T, V, N.

Example 1: Gas in a Box

Page 3: Introduction to Thermostatics and Statistical Mechanics

Microstates and Macrostates

• The microstate described a particular configuration of the chain on the lattice.

• If there are N links on the chain, there are N variables.

• Macrostate described by just the thermodynamic radius R of the chain.

Example 2: Polymer Chain

Page 4: Introduction to Thermostatics and Statistical Mechanics

Microstates and Macrostates

• The gas binds on the binding sites on the substrate with favorable energy.

• The microstate described by a particular binding configuration of the gas on the substrate.

• Macrostate described by just the average number <N> of particles bound to the substrate.

Example 3: Gas Adsorption

Page 5: Introduction to Thermostatics and Statistical Mechanics

Goal

• There are many microstates.• We get experimentally reproducible behavior

from only a few macrovariables.• If that macrovariable is, say, E, define

where, pi is the probability that the system is in state i .

• We want to find, pi. Given <Ei>.

Page 6: Introduction to Thermostatics and Statistical Mechanics

Means: Gibbs Entropy

Recipe is to maximize Gibbs entropy

Subject to constraints on the system

Hence find pi. Once we know pi. We can find any other quantity B as:

Page 7: Introduction to Thermostatics and Statistical Mechanics

Boltzmann Distribution•Consider a system at temperature, T in thermal equilibrium with the heat bath.

•The thermodynamic energy,

of the system is constant.

•We maximize Gibbs entropy subject to this constraint.

We use the method of lagrange multipliers. Writing a modified entropy

Normalization refers to the fact that,

Maximizing w.r.t pi and using the normalization constraint we will get.

Page 8: Introduction to Thermostatics and Statistical Mechanics

Partition Function The denominator of

is the most important quantity. It is called partition function. It is denoted by Z.

Substituting the pi obtained in Gibb’s entropy formula, we get,

Differentiating S w.r.t <E> and using above eqn,

we get

Page 9: Introduction to Thermostatics and Statistical Mechanics

Properties of partition function

The free energy of the system is hence:

Thus derivative of ln Z w.r.t to the lagrange multiplier gives corresponding average quantity.

Page 10: Introduction to Thermostatics and Statistical Mechanics

Example 1:

Ideal Gas Law

Page 11: Introduction to Thermostatics and Statistical Mechanics
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Page 13: Introduction to Thermostatics and Statistical Mechanics

Example 2: Force-Displacement relation for a chain

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