Fundamentals and Entropy Flashcards
Fundamentals
Classical Thermodynamics - First Law
dE = TdS - pdV
-this implies that any process in which energy is conserved is possible
Fundamentals
Classical Thermodynamics - Second Law
dS = dQrev / T
rev = reversible
-the entropy of an isolated system can only remain constant or increase
-this implies that heat cannot flow from a cold to a hot reservoir without other changes
Fundamentals
Direction of Time
- hot and cold cannot spontaneously separate
- entropy increases with time for an isolated system, or for the universe as a whole
Fundamentals
Statistical Physics
- the macroscopic properties of a system are deduced from the statistical behaviour of the constituent particles
- to do this we need to consider large systems, but 1mm³ of air contains ~10^16 molecules
- all states with equal energy are equally probable
- increasing the energy of a state decreases its probability
Microstate
Definition
-specified by describing the (quantum) state of each particle in the system
Macrostate
Definition
- properties of a system as a whole i.e. T, p, V, E< G etc.
- no information on individual particles
- every macrostate has an enumerable number of microstates
Postulate of equal a priori probabilities
-for a given macrostate, all microstates are equally probable
The Ergodic Hypothesis
- the time average of a system is equal to the instantaneous ensemble average
- i.e. the average of many identical measurements made on a single system is equal to the average of a single measurement on many copies of the system
Multiplicity
Definition
- the number of microstates in a macrostate
- for each macrostate there is a large number of macroscopically indistinguishable microstates
What does the probability of a macrostate depend on?
- the probability Pi of a certain macrostate depends on how many microstates correspond to the macrostate
- the probability of each microstate is proportional to its multiplicity
Probability of a Macrostate
Equation
Pi = ωi / Σωi
-where the sum is over all microstates in the system
Addition Rule
-for mutually exclusive events
P(i or j) = P(i) + P(j)
Multiplication Rule
-for independent events
P(i and j) = P(i) x P(j)
Distinguishing Between Different Macrostates
-different macrostates can be distinguished by e.g. weight
Distinguishing Between Different Microstates
-different microstates that correspond to the same macrostate cannot be distinguished between at the macroscopic level e.g. by weight