Understanding Energy States and Population Distribution in Thermal Equilibrium"

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SUMMARY

The discussion focuses on calculating the temperature required to achieve a specific population distribution of electrons in two energy states, E2 = 2.0 eV and E1 = 1.0 eV, with respective densities of 1.0 x 1016 electrons/cm3 and 1.0 x 1015 electrons/cm3. The probability of occupancy for each state is defined using the Fermi distribution, leading to the ratio of probabilities expressed as P(2)/P(1) = e-E2/kT / e-E1/kT. This ratio can be solved for temperature (T) using the provided electron densities and energy values, revealing a surprising result in the population distribution.

PREREQUISITES
  • Understanding of Fermi-Dirac statistics
  • Knowledge of energy states in quantum mechanics
  • Familiarity with the Boltzmann constant (k)
  • Basic principles of thermal equilibrium
NEXT STEPS
  • Calculate the temperature using the formula T = (E2 - E1) / (k * ln(N2/N1))
  • Explore the implications of population distribution in semiconductor physics
  • Investigate the effects of temperature on electron mobility in materials
  • Learn about the applications of Fermi distribution in solid-state physics
USEFUL FOR

Physicists, materials scientists, and students studying quantum mechanics or semiconductor theory will benefit from this discussion, particularly those interested in thermal equilibrium and electron behavior in energy states.

amph1bius
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The Question

Consider two energy states, E2 = 2.0 eV and E1 = 1.0 eV. Assume that there are 1.0 x 10^16 electrons/cm^3 in E2 and 1.0 x 10^15 electrons/cm^3 in E1. What temperature is required to create this population distribution in thermal equilibrium?

How do you define the population distribution?

So far, I have a formula for equating number of electrons to the density of states * the fermi distribution.

How do I put the given information into a value for the "number of electrons"?

Thanks in advance
 
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The probability of being in a given state is given by
$$
P(s) = \frac{e^{-E(s) / k T}}{Z}
$$
therefore one finds that the ratio of probabilities of the two states is
$$
\frac{P(2)}{P(1)} = \frac{e^{-E2 / k T}}{e^{-E1 / k T}}
$$
which one can then solve for ##T## using the given numbers.

Note: the result obtained in this particular case is quite surprising!
 

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