> #programming , #computer , #software > Given that the number of atoms N in the crystal lattice is equal to the number of holes and and M is the number of atoms in the holes show that M =N/e^(be/2 +1) ( Fermi Dirac statistics)?
Anonymous
Jan 17

Given that the number of atoms N in the crystal lattice is equal to the number of holes and and M is the number of atoms in the holes show that M =N/e^(be/2 +1) ( Fermi Dirac statistics)?

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Jan 17
To prove that M = N/e^(be/2 + 1) using Fermi-Dirac statistics, we need to start with the expression for the occupancy probability of a hole in the crystal lattice.

According to Fermi-Dirac statistics, the occupancy probability of a state with energy E is given by:

f(E) = 1 / (e^((E - μ) / kT) + 1)

Where:
- f(E) is the occupancy probability of the state with energy E
- μ is the chemical potential
- k is the Boltzmann constant
- T is the temperature

In a crystal lattice, the energy levels of the atoms and the holes can be represented by a band structure. Let's assume that the energy of an atom in the lattice is E_a and the energy of a hole is E_h.

Now, let's consider the occupancy probability of an atom in the lattice. Since the number of atoms N is equal to the number of holes, the occupancy probability of an atom is given by:

f(E_a) = N / (e^((E_a - μ) / kT) + 1)

Similarly, the occupancy probability of a hole is given by:

f(E_h) = M / (e^((E_h - μ) / kT) + 1)

Since the energy of a hole is typically higher than the energy of an atom, we can assume that E_h - E_a = ΔE > 0.

Now, let's consider the condition of equilibrium, where the chemical potential μ is the same for both atoms and holes. This implies that the occupancy probabilities of atoms and holes are equal:

f(E_a) = f(E_h)

N / (e^((E_a - μ) / kT) + 1) = M / (e^((E_h - μ) / kT) + 1)

Multiplying both sides by (e^((E_a - μ) / kT) + 1) and (e^((E_h - μ) / kT) + 1), we get:

N * (e^((E_h - μ) / kT) + 1) = M * (e^((E_a - μ) / kT) + 1)

Expanding the equation, we have:

N * e^((E_h - μ) / kT) + N = M * e^((E_a - μ) / kT) + M

Rearranging the terms, we get:

N * e^((E_h - μ) / kT) - M * e^((E_a - μ) / kT) = M - N

Dividing both sides by N, we have:

e^((E_h - μ) / kT) - (M / N) * e^((E_a - μ) / kT) = (M - N) / N

Since M = N, we can simplify the equation to:

e^((E_h - μ) / kT) - e^((E_a - μ) / kT) = 1

Now, let's assume that the energy difference ΔE = E_h - E_a is much larger than kT. In this case, we can approximate the exponential terms using a Taylor series expansion:

e^((E_h - μ) / kT) ≈ 1 + (E_h - μ) / kT

e^((E_a - μ) / kT) ≈ 1 + (E_a - μ) / kT

Substituting these approximations into the equation, we get:

(1 + (E_h - μ) / kT) - (1 + (E_a - μ) / kT) = 1

Simplifying the equation, we have:

(E_h - μ) / kT - (E_a - μ) / kT = 0

(E_h - E_a) / kT = 0

ΔE / kT = 0

Since ΔE > 0, this equation implies that T = 0, which is not physically possible. Therefore, our assumption that ΔE is much larger than kT is incorrect.

Instead, let's assume that ΔE is small compared to kT. In this case, we can approximate the exponential terms using a Taylor series expansion:

e^((E_h - μ) / kT) ≈ 1 + (E_h - μ) / kT

e^((E_a - μ) / kT) ≈ 1 + (E_a - μ) / kT

Substituting these approximations into the equation, we get:

(1 + (E_h - μ) / kT) - (1 + (E_a - μ) / kT) = 1

Simplifying the equation, we have:

(E_h - μ) / kT
0

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