Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

The Maxwell-Boltzmann probability distribution function. According to the kinetic theory of gases, the energies of molecules moving along the \(x\) direction are given by \(\varepsilon_{x}=(1 / 2) m v_{x}^{2}\), where \(m\) is mass and \(v_{x}\) is the velocity in the \(x\) direction. The distribution of particles over velocities is given by the Boltzmann law, \(p\left(v_{x}\right)=e^{-m v_{x}^{2} / 2 k T}\). This is the Maxwell-Boltzmann distribution (velocities may range from \(-\infty\) to \(+\infty\) ). (a) Write the probability distribution \(p\left(v_{x}\right)\), so that the Maxwell-Boltzmann distribution is correctly normalized. (b) Compute the average energy \(\left\langle\frac{1}{2} m v_{x}^{2}\right\rangle\). (c) What is the average velocity \(\left\langle v_{x}\right\rangle\) ? (d) What is the average momentum \(\left\langle m v_{x}\right\rangle\) ?

Short Answer

Expert verified
Normalized distribution: \( p(v_x) = \sqrt{\frac{m}{2\pi kT}} e^{-\frac{mv_{x}^{2}}{2kT}} \). Average energy: \( \frac{1}{2}kT \). Average velocity: 0. Average momentum: 0.

Step by step solution

01

- Normalize the Maxwell-Boltzmann Distribution

The probability distribution must satisfy the normalization condition: \[ \ \int_{-\infty}^{+\infty} p(v_{x})\, dv_{x} = 1 \] Given: \[ \ p(v_{x}) = \, e^{-\frac{mv_{x}^{2}}{2kT}} \] We need a constant \( \text{A} \) so that \[ \ p(v_{x}) = \text{A} \, e^{-\frac{mv_{x}^{2}}{2kT}} \] Integrate this expression over all velocities:\[ \ A \int_{-\infty}^{+\infty} e^{-\frac{mv_{x}^{2}}{2kT}} dv_{x} = 1 \ \] Since the integral of a Gaussian function \( e^{-\frac{ax^{2}}{b^{2}}} \) over all space \( -\rightarrow \infty \rightarrow +\rightarrow \infty \) is \( \sqrt{\frac{\pi}{a}} \), we have: \[ \ A \sqrt{\frac{2\pi kT}{m}} = 1 \] Thus, \[ \text{A} = \sqrt{\frac{m}{2\pi kT}} \] So the normalized probability distribution is: \[ \ p(v_{x}) = \sqrt{\frac{m}{2\pi kT}} e^{-\frac{mv_{x}^{2}}{2kT}} \]
02

- Compute the Average Energy

Consider average energy \( \left\langle \frac{1}{2}m v_{x}^{2} \right\rangle \):\[ \left\langle \frac{1}{2}m v_{x}^{2} \right\rangle = \int_{-\infty}^{+\infty} \frac{1}{2}m v_{x}^{2} p(v_{x}) dv_{x} \] Substitute \( p(v_{x}) \):\[ \left\langle \frac{1}{2}m v_{x}^{2} \right\rangle = \frac{m}{2}\int_{-\infty}^{+\infty} v_{x}^{2} \sqrt{\frac{m}{2\pi kT}} e^{-\frac{mv_{x}^{2}}{2kT}} dv_{x} \] Use: \[ \int_{-\infty}^{+\infty} x^{2} e^{-ax^{2}} dx = \sqrt{\frac{\pi}{a^{3}}} /\ 2 \ \]where \( a = \frac{m}{2kT} \):\[ \ = \frac{m}{2}\sqrt{\frac{m}{2\pi kT}} \times \sqrt{\frac{\pi}{(\frac{m}{2kT})^{3}}} /\ 2 \] Calculate:\[ \frac{m}{2}\frac{\pi (\frac{2kT}{m})^{3/2}}{\pi (\frac{m}{2kT})^{1.5}} = \frac{kT}{2} \left\langle \frac{1}{2}m v_{x}^{2} \right\rangle = \frac{1}{2}kT \]
03

- Compute the Average Velocity

Given the symmetric nature, where the Maxwell-Boltzmann conditioned symmetry is considered, of the velocity distribution: \[ \left\langle v_{x} \right\rangle = 0 \] Since the function \( v_x \cdot \exp{(-\frac{mv_x^2}{2kT})} \) is odd, its integral over the symmetric interval is zero:\[\left\langle v_x\right\rangle = 0\]
04

- Compute the Average Momentum

The average momentum is: \[ \left\langle m v_x \right\rangle = m \cdot \left\langle v_x \right\rangle = 0 \] This is directly derived from the mean velocity.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

kinetic theory of gases
The kinetic theory of gases explains how gas particles move and behave. It tells us that gas consists of many small particles (atoms or molecules) in constant, random motion. These particles constantly collide with each other and with the walls of their container. The theory is based on several key assumptions:
  • Gas particles are in constant, random motion.
  • Collisions between gas particles and the walls are elastic, meaning no energy is lost.
  • The volume of the gas particles themselves is negligible compared to the volume of the container.
  • There are no attractive or repulsive forces between the particles.

One important conclusion from this theory is that the average kinetic energy of gas particles is proportional to the temperature. This relationship is critical in understanding the Maxwell-Boltzmann distribution and how gas particles' velocities are distributed at any given temperature.
probability distribution function
A probability distribution function gives us the likelihood of different outcomes in a random process. For gas particles' velocities, the Maxwell-Boltzmann distribution function is used. The function is given by: \( p(v_x) = \sqrt{ \frac{m}{2 \pi k T} } e^{-(mv_x^2)/(2kT)} \)
This equation shows how likely it is to find a particle with a specific velocity in the x-direction. The term \( e^{-(mv_x^2)/(2kT)} \) decays as the velocity increases, meaning particles with higher speeds are less probable. To ensure that the total probability across all velocities sums to one, we normalize this function. By integrating the distribution over all possible velocities, we find the appropriate normalization constant.

The integral here is crucial as the sum of all probabilities must equal one. Without normalization, the distribution function would not correctly represent our physical system.
average energy calculation
The average energy of gas particles can be calculated using the Maxwell-Boltzmann distribution. Specifically, we are interested in the average kinetic energy in the x-direction, given by: \( \left\langle \frac{1}{2} m v_x^2 \right\rangle = \frac{1}{2} k T \)
To compute this, we use an integral where we multiply the kinetic energy \( \frac{1}{2} m v_x^2 \) by the probability distribution function \( p(v_x) \) and integrate over all velocities: \[ \left\langle \frac{1}{2} m v_x^2 \right\rangle = \int_{-\infty}^{+\infty} \frac{1}{2} m v_x^2 p(v_x) dv_x \] Substituting the distribution function and solving the integral yields the result: \[ \left\langle \frac{1}{2} m v_x^2 \right\rangle = \frac{1}{2} k T \] This result shows that the average kinetic energy in one direction (x) is proportional to the temperature. This is a fundamental result from the kinetic theory of gases, revealing how energy is distributed among particles.
average velocity calculation
The average velocity of particles, \( \left\langle v_x \right\rangle \), is another important quantity in the kinetic theory of gases. It represents the mean velocity of all particles in the x-direction. For a perfectly symmetric Maxwell-Boltzmann distribution centered around zero, the average velocity is: \[ \left\langle v_x \right\rangle = 0 \]
This result arises because the distribution is symmetric around zero, meaning there are equally as many particles moving in the positive direction as in the negative direction. When summed, these velocities cancel out, resulting in a net average of zero.
Therefore, even though individual particles can have varying speeds, the overall average velocity in any direction for a system at equilibrium is zero. This conclusion aligns with our expectations for a large, random distribution of particle velocities.
average momentum
The average momentum, \( \left\langle m v_x \right\rangle \), of gas particles is directly related to the average velocity. Since \( m \) (mass) is a constant for all particles, it scales with the velocity. Therefore, if the average velocity in the x-direction is zero, the average momentum is also zero: \[ \left\langle m v_x \right\rangle = m \cdot \left\langle v_x \right\rangle = 0 \]
This result means that for an ideal gas in equilibrium, there is no net movement of particles in any direction. Even though individual particles are in motion and have momentum, the overall momentum averages out to zero.
This makes sense within the context of the kinetic theory of gases, ensuring that there is no preferred direction of motion in a stable gas system. When considering forces and collisions, this property helps maintain the system's equilibrium over time.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Probabilities of sequences. Assume that the four bases A, C, T, and G occur with equal likelihood in a DNA sequence of nine monomers. (a) What is the probability of finding the sequence AAATCGAGT through random chance? (b) What is the probability of finding the sequence AAAAAAAAA through random chance? (c) What is the probability of finding any sequence that has four A's, two T's, two G's, and one C, such as that in (a)?

The distribution of scores on dice. Suppose that you have \(n\) dice, each a different color, all unbiased and sixsided. (a) If you roll them all at once, how many distinguishable outcomes are there? (b) Given two distinguishable dice, what is the most probable sum of their face values on a given throw of the pair? (That is, which sum between 2 and 12 has the greatest number of different ways of occurring?) (c) What is the probability of the most probable sum?

Probabilities of picking cards and rolling dice. (a) What is the probability of drawing either a queen or a heart in a normal deck of 52 cards? (b) What is the probability \(P\) of getting three 7 's and two 4 's on five independent rolls of a die?

Presidential election. Two candidates are running for president. Candidate \(A\) has already received \(80 \mathrm{elec}-\) toral votes and only needs 35 more to win. Candidate \(B\) already has 50 votes, and needs 65 more to win. Five states remain to be counted. Winning a state gives a candidate 20 votes; losing gives the candidate zero votes. Assume both candidates otherwise have equal chances to win in those five states. (a) Write an expression for \(W_{A}\), total, the number of ways A can succeed at winning 40 more electoral votes. (b) Write the corresponding expression for \(W_{B, \text { total. }}\). (c) What is the probability candidate \(A\) beats candidate \(B\) ?

The probabilities of identical sequences of amino acids. You are comparing protein amino acid sequences for homology. You have a 20-letter alphabet (20 different amino acids). Each sequence is a string \(n\) letters in length. You have one test sequence and \(s\) different data base sequences. You may find any one of the 20 different amino acids at any position in the sequence, independent of what you find at any other position. Let \(p\) represent the probability that there will be a 'match' at a given position in the two sequences. (a) In terms of \(s, p\), and \(n\), how many of the \(s\) sequences will be perfect matches (identical residues at every position)? (b) How many of the \(s\) comparisons (of the test sequence against each database sequence) will have exactly one mismatch at any position in the sequences?

See all solutions

Recommended explanations on Combined Science Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free