How Do You Calculate the Probability Density Function in a Classical Ideal Gas?

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In summary, the conversation discusses the concept of a classical ideal gas, where molecules are treated as non-interacting point particles moving in 3 dimensions. The probability of the particles' velocities is described by p(Vx,Vy,Vz)=C*exp-(Vx^2+Vy^2+Vz^2), and the energy is given by E=1/2*m*|v|^2. The task is to find P(E), the overall probability that the gas particles will have a kinetic energy less than a certain value E, and to derive the probability density function p(E) by rewriting the expression for p(Vx,Vy,Vz) in terms of E.
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Homework Statement



Classical Ideal Gas in 3 Dimensions
In a classical ideal gas, we treat molecules as non-interacting point particles moving in the x,y, and z directions. These particles' velocities (in each respective direction) are statistically independent:

p(Vx,Vy,Vz)=C*exp-(Vx^2+Vy^2+Vz^2)

The energy is E=1/2*m*|v|^2

(a) Find P(E), the overall probability that these gas particles will have a KE \<E.
(b) By noting that dP=p(E)dE, derive the probability density p(E).

Homework Equations


No clue

The Attempt at a Solution


Don't even know how to start...any tips would be much appreciated
 
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  • #2
Can you re-write the expression for p(Vx,Vy,Vz) so that the probability depends on E rather than Vx, Vy, and Vz?
 
  • #3


I would recommend starting by reviewing the fundamental concepts of classical ideal gas and the equations provided in the homework statement. This will help you understand the variables and their relationships in the problem. Then, try to break down the problem into smaller parts and identify any relevant equations that can be used to solve each part. For example, for part (a), you can use the given probability distribution function to find P(E). For part (b), you can use the definition of probability density to derive the equation. If you are still struggling, I would suggest seeking help from your instructor or classmates. It's important to understand the concepts and equations in order to solve the problem correctly.
 
  • #4


it is important to have a solid understanding of statistical thermodynamics and its applications. In this problem, we are dealing with a classical ideal gas in 3 dimensions. The first step in solving this problem would be to understand the given information and equations.

The given equation, p(Vx,Vy,Vz)=C*exp-(Vx^2+Vy^2+Vz^2), represents the probability of finding a molecule with a specific velocity in each direction. This equation is based on the assumption that the molecules are non-interacting point particles. The energy of each particle is given by E=1/2*m*|v|^2, where m is the mass of the particle and |v| represents the magnitude of its velocity.

(a) To find P(E), the overall probability that the gas particles will have a kinetic energy less than E, we can integrate the given probability density function over all possible velocities. This can be done by considering the probability in each direction (Vx, Vy, Vz) and using the formula for the probability of independent events. This will give us the overall probability as P(E)=P(Vx)*P(Vy)*P(Vz).

(b) To derive the probability density function p(E), we can use the fact that dP=p(E)dE. This means that the probability of finding a particle with an energy between E and E+dE is given by p(E)dE. We can then use the given equation for energy (E=1/2*m*|v|^2) to express the probability in terms of the velocity. This will give us p(E)=C*exp(-E/m)*dE, where dE is the infinitesimal change in energy.

In summary, to solve this problem, we need to understand the given information and equations, and then use the concepts of probability and statistical thermodynamics to find the overall probability and probability density function. It is also important to remember to always think critically and logically when solving scientific problems.
 

Related to How Do You Calculate the Probability Density Function in a Classical Ideal Gas?

What is statistical thermodynamics?

Statistical thermodynamics is a branch of physics that combines the principles of thermodynamics and statistical mechanics to study the behavior of systems consisting of a large number of particles.

What is the purpose of statistical thermodynamics?

The purpose of statistical thermodynamics is to provide a mathematical framework for understanding the macroscopic properties and behavior of matter based on the microscopic behavior of its constituent particles.

What are some applications of statistical thermodynamics?

Statistical thermodynamics has various applications in fields such as chemistry, physics, materials science, and engineering. Some examples include the study of phase transitions, chemical reactions, and the properties of gases and liquids.

What are the key concepts in statistical thermodynamics?

The key concepts in statistical thermodynamics include entropy, partition function, and the Boltzmann distribution. These concepts are used to describe the probability of a system being in a particular state and to calculate thermodynamic quantities such as energy and temperature.

How can I improve my understanding of statistical thermodynamics?

To improve your understanding of statistical thermodynamics, you can read textbooks and articles on the subject, attend lectures and seminars, and practice solving problems. It is also helpful to have a strong foundation in calculus, physics, and chemistry.

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