Thermodynamics, ideal gas, probability distributions

In summary, the conversation discusses the velocity component of gas particles in the x-direction, with a probability distribution of P \propto e^{-\frac{-m v_x^2}{2 k_B T}}. The conversation then goes on to calculate the normalized probability distribution, the averages of v_x and v_x^2, and the heat transferred during an isothermal compression and adiabatic expansion of an ideal gas. Finally, the conversation asks for help in calculating the volume of the gas after an expansion with given temperature, pressure, and number of particles.
  • #1
SoggyBottoms
59
0
I need some help with e), but could someone also check to see if the rest is correct?

Homework Statement


The velocity component [itex]v_x[/itex] of gas particles in the x-direction is measured and the probability distribution for [itex]v_x[/itex] is found to be [itex]P \propto e^{-\frac{-m v_x^2}{2 k_B T}}[/itex] with m the mass of a gas particle and T the temperature.

a) Calculate the normalized probability distribution.

b) Calculate [itex]\langle v_x \rangle[/itex] and [itex]\langle v_x^2 \rangle[/itex]

c) Assume the gas is ideal and consists of N identical point-particles. The gas is isothermally compressed at temperature T from volume V to volume V/2, with N unchanged. Calculate the heat Q that is transferred to the surroundings.

d) Now from the volume V/2 the gas is adiabatically expanded to the original volume V. Calculate the end temperature T', the work done by the gas W' and the added heat Q' during this expansion.

e) After this expansion to volume V the gas has a temperature of T = 27 degrees Celsius and a pressure of 9 atmosphere. The number of gas particles is equal to Avogadro's constant [itex]N = 6 \times 10^23[/itex]. Calculate the volume V in litres.

The Attempt at a Solution



a) [tex]1 = \int_{-\infty}^{\infty} e^{-\frac{-m v_x^2}{2 k_B T}} dv_x = A \sqrt{\frac{2 k_B T \pi}{m}}[/tex]
So [itex]P = \sqrt{\frac{m}{2 k_B T \pi}}e^{-\frac{-m v_x^2}{2 k_B T}}[/itex]

b) [tex] \langle v_x \rangle = \sqrt{\frac{m}{2 k_B T \pi}} \int_{-\infty}^{\infty} v_x e^{-\frac{-m v_x^2}{2 k_B T}} dv_x = 0 [/tex]
[tex] \langle v_x^2 \rangle = \sqrt{\frac{m}{2 k_B T \pi}} \int_{-\infty}^{\infty} v_x^2 e^{-\frac{-m v_x^2}{2 k_B T}} dv_x = \sqrt{\frac{m}{2 k_B T \pi}} \frac{1}{2} \sqrt{\frac{m^3 \pi}{8 k_B^3 T^3}} [/tex]
c) [tex]\Delta W = - \int_{V}^{V/2} \rho dV = - \int_{V}^{V/2} \frac{N k_B T}{V} dV = -N k_B T \ln{\frac{1}{2}}[/tex]
This is equal (save for the minus sign) to the amount of heat that is transferred to the surroundings, because we have that [itex]dW = - dQ[/itex].

d) In an adiabatic expansion there is no flow of heat, so [itex]Q' = 0[/itex] and [itex]dU = dW = C_V dT = -\rho dV = -\frac{N k_B T}{V} dV[/itex]. This leads to:

[tex]\ln \frac{T'}{T} = - \frac{N k_B}{C_V} \ln \frac{V/2}{V}[/tex]
Thus:

[tex]T' = \frac{1}{2} e^{- \frac{N k_B}{C_V}}[/tex]
The work W' is:

[tex]W' = -\int_{V/2}^{V} \frac{N k_B T}{V} dV = N k_B T \ln 2[/tex]
e) I can't just plug the numbers into the ideal gas equation since I'm missing the pressure, but I don't know how to do this one.
 
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  • #2
Anyone got any idea about e)?
 

FAQ: Thermodynamics, ideal gas, probability distributions

1. What is thermodynamics and why is it important?

Thermodynamics is the study of energy and its transformation from one form to another. It is important because it helps us understand the behavior of matter and energy and how they interact in various systems, from the microscopic level of atoms and molecules to the macroscopic level of large-scale processes.

2. What is an ideal gas and how does it differ from a real gas?

An ideal gas is a theoretical gas that obeys the gas laws and has particles that do not interact with each other. It differs from a real gas in that real gases have some degree of intermolecular forces and do not always follow the gas laws perfectly.

3. What is the difference between a probability distribution and a probability density function?

A probability distribution is a function that describes the likelihood of a random variable taking on certain values. A probability density function is a specific type of probability distribution that is used for continuous random variables and can be described by a continuous curve.

4. What is the Boltzmann distribution and how is it related to thermodynamics?

The Boltzmann distribution is a probability distribution that describes the distribution of particles in a system at thermal equilibrium. It is related to thermodynamics because it provides a statistical description of the behavior of particles in a system, which is essential for understanding thermodynamic properties such as temperature, energy, and entropy.

5. How does the concept of entropy relate to thermodynamics and probability distributions?

Entropy is a thermodynamic property that measures the amount of disorder in a system. It is related to probability distributions because the higher the disorder or randomness in a system, the higher the number of possible states or outcomes, resulting in a higher probability distribution. This relationship helps us understand the behavior of systems and their tendency towards equilibrium.

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