Thermodynamics, essentially, is a phenomenological description of
macroscopic system in thermal equilibrium.
How to idealize the system
View it as some ensemble such as:
closed system: often descripted as a closed box with adiabatic
walls. (Microcanonical)
open system: with exchanges
canonical: exchanges heat. (Two system with diabatic wall)
grandcanonical: exchanges both heat and particles, etc.
How to describe the system
State function
Thermodynamics coordinates.
State Variable: (Pressure),
(Volume), (Chemical Potential), etc.
The idea of SM
Thermodynamics(example):
For kinetic theory of gas, the system in micro perspective can be
completely described as as a point in phase space of dim (3 for 3d).
And in phase space, a probability measure is introduced for each state.
The Boltzmann equation and H theorem says that the
equilibrium we can observe occurs as the maximization of entropy
Use Lagrangrian Multipler:
Define to absorb .
Question to be answered:
Why the equilibrium occurs when is maximized (and why is in this form?)
How to calculate the amount we care from this? (To be precise,
ensemble averages )
We will go back to this later, but now we shall first look at the
classical thermodynamics.
The Zeroth Law of
Thermodynamics:
The system is usually of particles and the possible
states are at least of . How we can
use a marco parameter such as temperature to describe a great portion of
such possible states?
In common sense, marco parameters are a property shared by physical
systems. To make this statement well-defined, we should introduce the
zeroth law of Thermodynamics:
(The transitivity of equilibrium) if system A is in equilibrium with
system B and system B is in equilibrium with system C. Then A is in
equilibrium with system C.
Therefore, a system in thermoequilibrium can be described in a state
function that is purely described by its thermocoordinate (things that
equals when in thermoequilibrium), as equivalence class in math.
The First Law of
Thermodynamics
The amount of work required to change the state of an otherwise
adiabatically isolated system depends only on the initial and final
states, and not on the means by which the work is performed, or on the
intermediate stages through which the system passes.
For the thermodynamics system we can construct a state function, the
internal energy . The amount of
can be derived from amount of
work needed for an adiabatic
transformation from an inital state to a final state using .
What if the transformation is not adiabetic (which is the most of the
cases)?
It is observed that , We call the extra part that cannot be explained by as
Sometimes we use generalized force and displacement to charactize the
work done:
System
Force
Displacement
Wire
tension
length
Fluid
pressure
volume
Chemical reaction
chemical potential
particle number
Ideal gas: T does not change during expansion.
Response functions:
Charactizing the macroscopic behaviour of the system:
Heat capacities:
For ideal gas
Isothermal compressibility:
The Second Law of
Thermodynamics
The impetus for the second law of thermodynamics is the advent of
heat engines.
Heat engine: a device that receives energy in the
form of heat from a hot reservoir, delivers work to its surroundings,
and discharges energy in the form of heat to a cold reservoir.
Heat pump: a device that uses work to delivers
energy in the form of heat to a hot reservoir, and receives energy in
the form of heat from a cold reservoir.
1 2 3 4 5 6 7 8 9 10 11 12 13 14
------- ------ |Source|--Qh->|Engine|--Q_c->|Sink| ------- | ------ | v Work
Work | | v ------- ------- |Icebox|--Qc->|Fridge| --Qh->|Exhaust| ------- -------
Heat engine efficiency:
Heat pump efficiency:
The second law of thermodynamics states that the efficiency of a heat
engine can never be 100%.
Kelvin’s Statement: No process is possible whose
sole result is the complete conversion of heat into work.
Clausius’s Statement: No process is possible whose
sole result is the transfer of heat from a cooler to a hotter body.
The best heat engine is the Carnot engine, which consists of two
isothermal processes and two adiabatic processes.
Isothermal expansion: the system is in contact with the hot
reservoir at temperature , and
expands from volume to .
Adiabatic expansion: the system is isolated and expands from volume
to .
Isothermal compression: the system is in contact with the cold
reservoir at temperature , and
compresses from volume to .
Adiabatic compression: the system is isolated and compresses from
volume to .
We argue that the efficiency of the Carnot engine is the
upper bound of all heat engines, otherwise we can use
the more efficient engine to run the Carnot engine in reverse to create
a perpetual motion machine of the second kind (Pump heat from cold to
hot without work input).
Use the ideal gas as an example, we can calculate the efficiency of
the Carnot engine is Therefore, the efficiency of any heat engine is bounded by the
efficiency of the Carnot engine:
The Third Law of
Thermodynamics
For an infinismal process that draw from a heat reservoir at
temperature
W.r.t. the whole system:
We can decompose any process into a series of infinitismal processes,
and for each process, the system exchange heats with a system with
almost identical temperature. We know that: where is the
temperature of the system during the -th process. Therefore, we have:
Which leads to Clausius’s theorem
For a reversible cycle, we infer that . And we can define a
function of state , only dependent
on two end-points:
Kinetic Theory of Gas
Liouville Theorem
Since . So .
The time evolution of the ensemble average
Now, consider the equilibrium state: A possible solution is constant on constant energy surface, etc. or for additional
conserved quantities.
non-stationary
densities converge onto the stationary solution
Actually, this is the fact that the solutions are in the neighborhood
of for the most of the
time.
Need ergodicity to justify.
BBGKY Hierarchy
Define s-partial density Assume the Hamiltonian
BBGKY Formula
or Note that the LHS is the full time derivative of , or action under adjusted by a scatter term (RHS).
Boltzmann Equation &
H-Theorem
First Level in BBGKY equation
Estimation
LHS of
RHS of
LHS of RHS of
So we can set RHS of to
0.
And assume when
distant So
since the position won’t change so much.
Therefore, substitute into RHS of :
Change variable with , , .
Since term and term is small, now be the coord along the line.
coll_illustration
We conclude that
H Theorem
By the Livouille Theorem, we can swap and , and . By the symmetricity of , we can swap the subscript
too.
Equilibrium properties
A necessary condition for is that at each point We observed additive conserved quantities in the
collision.
Number of particles
Momentum
Energy Or with potential energy Assume uniform, , only
depend on or any other quantity
that is conserved by it . For example, as long as , independent of and .
Assume .
Equilibrium between two gases:
Equilibrium, all right assume to be zero.
Can be satisfied with Ideal Gas Equation
Conservation Law
Stage 1:
Governed by the fast collision term in the right of Boltzmann
equation. (reached zero) equilibrium.
local density, governed by the local conservatives.
Stage 2:
Governed by the streaming term
It is most conveniently expressed in terms of the time evolution of
conserved quantities according to hydrodynamic equations.
Conserved quantity
If conserved in collision does not change.
Now for the left term: Particle Number ()
Momentum ()
If : Kinetic Energy
Plug in the peculiar speed
Zeroth-Order Solution
Assume is in local
equilibrium:
This satisfies the collision term exactly (RHS of Boltzmann = 0), but
does not satisfy the full Boltzmann equation because the streaming
operator acts on the
slowly varying fields .
First order equation
(Classical) Statistical
Mechanics
The idea is that we start from the simplest situation
(microcanonical). Then we gradually allow extensive quantity to
fluctuate but add intensive quantity in control.
Microcanonical System
Particles system where
is fixed.
The system is equally probable in any state that satisfy the energy
constraint.
Canonical System
We now fix instead of for a system in contact with a heat
reservoir.
Consider the whole system , where is the heat
reservior, is the canonical
system we want to study.
For the whole system ,
it is in the microcanonical ensemble.
The last step is expand at to the first
order, and use .
Question:
Why not expand
directly? Hint: is
exponential in . Draw ’s expansion at to see the difference.
Grandcanonical System
We now fix instead of .
For similar reason, the system can be in energy , particle number with probability:
Gibbs System
Fix , change to ,
to .
Partition Function and
the Calculations
Here we assume the hamiltonian is non-interacting
particles in a box of volume and
potential energy .
where is
unnormalized distribution.
In microcanonical ensemble:
In canonical ensemble:
The Legrendre transform from
to (T) correspond to the
Laplace transform in the partition function.
The integration formula for Gamma function:
The average energy is given by: Or
we can also calculate the one particle partition function : where is thermal de Broglie
wavelength.
In grandcanonical ensemble:
In Gibbs ensemble:
Ensembles
Reversible Process
Sometimes we use be the
Shannon entropy of the system,
be the average energy.
The advantage is that is
dimensionless, and is in
energy unit .
Definition:
A process is reversible if carried out in such a way that the system
is always infinitesimally close to the equilibrium condition.
If it is not in a equilibrium state, we cannot define the
temperature, pressure, etc. of the system and apply the thermodynamic
math.
Consider system is compressed by a piston. If we compress it very
slowly, the system is always in equilibrium from to .
For a particular state , the
change of energy is given by