
Number of States and Probabilities
Storyboard 
In order to systematize the study of a system using the method of state counting, we aim to establish a direct relationship between the probability of finding the system at a particular energy and the number of associated states.
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System in contact with a heat reservoir
Equation 
Suppose a system with energy E_r is in contact with a thermal reservoir of energy E'.
A thermal reservoir is understood as a system whose temperature remains constant. One way to achieve this is by having a large reservoir (like a water bath).
If both systems are isolated from the surroundings, the sum of their energies will remain constant, which can be expressed with as
E_0=E_r+E_h |
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This version provides clarity while retaining the essential information.
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Probability of finding the system in a state r
Equation 
The probability of finding the system in a state where it has an energy E_r, while the reservoir has an energy E' = E_0 - E_r, is defined as
P_r = C \cdot \Omega_r(E_r) \cdot \Omega'(E')
where C is a constant that is adjusted to ensure the probability is normalized.
Since P_r represents the probability of finding the system in a particular state r, the number of states in state r is equal to one. In other words, this implies that
\Omega_r(E_r) = 1
Therefore, the probability can be expressed with respect to as
P_r=C_h\Omega_h(E_0-E_r) |
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Normalization Condition
Equation 
If we sum the probabilities of each state r, the result should be one. This signifies that it is normalized with the :
\sum_rP_r=1 |
This is equivalent to stating that the system must necessarily be in one of the possible states.
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Development of the number of states in Taylor series
Equation 
As the energy E_r is much smaller than the total energy E_0, the logarithm of the number of states can be expanded around the energy E_r as follows:
\ln\Omega'(E_0-E_r)=\ln\Omega'(E_0)-\left.\displaystyle\frac{\partial\Omega'}{\partial E'}\right\vert_0E_r\ldots
Since the derivative of the logarithm of the number of states is equal to the beta function:
\beta=\left.\displaystyle\frac{\partial\Omega'}{\partial E'}\right\vert_0
It follows that, in a first approximation with ,
\ln\Omega_h(E_0-E_r)=\ln\Omega_h(E_0)-\beta E_r |
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Equation for the Probability of State r
Equation 
If we substitute the expression
\ln\Omega_h(E_0-E_r)=\ln\Omega_h(E_0)-\beta E_r |
with beta del sistema 1/J, energía del estado r J, energía del sistema J and número de Estados -
into the equation for probability with constante de Normalización -, energía del estado r J, energía del sistema J, número de Estados - and probabilidad del estado r -,
P_r=C_h\Omega_h(E_0-E_r) |
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we obtain with constante de Normalización -, energía del estado r J, energía del sistema J, número de Estados - and probabilidad del estado r - the probability
P_r=Ce^{-\beta E_r} |
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where C is a constant to be determined using the normalization condition.
The expression e^{-\beta E} is referred to as the Boltzmann factor, and the distribution it describes is known as the canonical distribution.
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Normalization constant
Equation 
Under the normalization condition with estado r - and probabilidad del estado r -,
\sum_rP_r=1 |
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it is obtained that the normalization constant C is equal to estado r - and probabilidad del estado r -:
C^{-1}=\sum_re^{-\beta E_r} |
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