Statistical mechanics: particles in magnetic fields

In summary, "Statistical mechanics: particles in magnetic fields" explores the behavior of particles under the influence of magnetic fields, focusing on how these fields affect the statistical distributions and thermodynamic properties of systems. It discusses concepts such as the Landau levels, magnetic susceptibility, and the role of temperature in determining the state of the system. The framework combines classical and quantum mechanics to analyze the impact of magnetic interactions on particle dynamics, leading to insights into phenomena like magnetization and phase transitions in materials.
  • #1
MatinSAR
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Homework Statement
We are examining a system that is composed of four electrons. Each of these electrons possesses a non-zero spin. These electrons each have a magnetic moment, denoted as ##m##, which interacts with an external magnetic field, represented as ##B##.
The spin of these electrons can align in two ways with respect to this external magnetic field. It can either be parallel (which we refer to as ‘up spin’) or anti-parallel (referred to as ‘down spin’).
When the magnetic field is present, the energy of the electrons changes depending on their spin. If an electron has an ‘up spin’, its energy is ##-mB##. Conversely, if an electron has a ‘down spin’, its energy is ##+mB##. Answer following questions:
Relevant Equations
Concepts in statistical mechanics.
Let’s consider that the total energy of this system is represented as ##E=-2mB##.

Question 1: how many microstates correspond to this energy level?
We have ##2^4=16## microstates.

++++ Total magnetic moment: ##4m## Energy: ##-4mB##
- - - - Total magnetic moment: ##-4m## Energy: ##4mB##

- - -+ Total magnetic moment: ##-2m## Energy: ##2mB##
- -+- Total magnetic moment: ##-2m## Energy: ##2mB##
-+- - Total magnetic moment: ##-2m## Energy: ##2mB##
+- - - Total magnetic moment: ##-2m## Energy: ##2mB##
+++- Total magnetic moment: ##2m## Energy: ##-2mB##
++-+ Total magnetic moment: ##2m## Energy: ##-2mB##
+-++ Total magnetic moment: ##2m## Energy: ##-2mB##
-+++ Total magnetic moment: ##2m## Energy: ##-2mB##

++-- Total magnetic moment: ##0## Energy: ##0##
+-+- Total magnetic moment: ##0## Energy: ##0##
-++- Total magnetic moment: ##0## Energy: ##0##
-+-+ Total magnetic moment: ##0## Energy: ##0##
--++ Total magnetic moment: ##0## Energy: ##0##
-++- Total magnetic moment: ##0## Energy: ##0##

So the answer to first question is ##4##.

Question 2: What is the probability that the system, when in equilibrium, is in one of its microstates?
##\dfrac {4}{16}##.

Question 3: What is the probability that a particle in this system has an up spin? Calculate the average magnetic moment.
Possible microstates are : +++-/++-+/+-++/-+++
The probability is ##\dfrac 3 4##.
Average magnetic moment: $$m_{ave}=m(\dfrac 3 4)-m(\dfrac 1 4) = \dfrac m 2 $$ I have significant uncertainty about my answer to this part of the question.

Question 4: If the spin of particle one is up, what is the probability that the spin of particle two will also be up?
+++-/++-+/+-++ So I think ##\dfrac 2 3 ##.

I'm aware that this question may seem straightforward, but I’m uncertain about the accuracy of my answers. Any ideas or corrections would be appreciated.
 
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  • #2
1: Significantly less writing to note that you need 3 spin up and one spin down to make net energy match. You have ##4 \choose 3## ways of selecting the 3 up spins.

2: Define equilibrium here. When all states are equally probable? Note that the energu is given! The problem is asking for the probability of a particular state.

3: what are you uncertain about?

4: Yes, basic conditional probability.
 
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  • #3
Orodruin said:
1: Significantly less writing to note that you need 3 spin up and one spin down to make net energy match. You have ##4 \choose 3## ways of selecting the 3 up spins.
Yes, it is better to use your approach especially when we have many microstates.
Orodruin said:
2: Define equilibrium here. When all states are equally probable?
Yes. The energy corresponds to 4 microstates.
+++-
++-+
+-++
-+++
When the system is in equilibrium all states are equally probable, so each one has a probability of ##1/4##.

Orodruin said:
3: what are you uncertain about?
The formula that I've used to calculate average of ##m##. And I am not sure if I identified the probability of up and down spin(##3/4## and ##1/4##) correctly.

Orodruin said:
4: Yes, basic conditional probability.
Many thanks.
 

FAQ: Statistical mechanics: particles in magnetic fields

What is statistical mechanics and how does it relate to particles in magnetic fields?

Statistical mechanics is a branch of theoretical physics that uses statistical methods to describe the behavior of systems composed of a large number of particles. It connects the microscopic properties of individual particles, such as position and momentum, to the macroscopic properties of materials, such as temperature and pressure. When particles are placed in magnetic fields, their behavior is influenced by the Lorentz force, which affects their trajectories and energy states. Statistical mechanics helps us understand how these interactions lead to observable phenomena like magnetization and phase transitions in materials.

How do magnetic fields affect the energy levels of particles?

Magnetic fields influence the energy levels of charged particles through the Zeeman effect, which causes the energy levels to split into multiple states based on the interaction between the magnetic moment of the particles and the external magnetic field. This splitting alters the distribution of particles among the available energy states, which can be analyzed using statistical mechanics to predict changes in thermodynamic properties, such as heat capacity and magnetization.

What is the role of the partition function in statistical mechanics for magnetic systems?

The partition function is a central quantity in statistical mechanics that encodes all the thermodynamic information of a system. For particles in a magnetic field, the partition function accounts for the contributions of all possible energy states of the system, including those modified by the magnetic field. By calculating the partition function, one can derive important thermodynamic quantities such as free energy, entropy, and magnetization, allowing for a comprehensive understanding of the system's behavior under varying conditions.

How can one calculate the magnetization of a system using statistical mechanics?

To calculate the magnetization of a system using statistical mechanics, one typically starts with the partition function, which incorporates the energy levels of the system in the presence of a magnetic field. The magnetization can then be obtained by differentiating the free energy with respect to the magnetic field or by using the relation that connects magnetization to the average magnetic moment of the particles. This involves statistical averaging over the Boltzmann distribution of the energy states, which reflects how particles distribute themselves in response to the applied magnetic field.

What are some applications of statistical mechanics in understanding magnetic materials?

Statistical mechanics provides a framework for understanding various phenomena in magnetic materials, such as ferromagnetism, paramagnetism, and antiferromagnetism. It is used to model phase transitions, predict critical behavior near phase boundaries, and describe the collective behavior of spins in magnetic systems. Applications include designing new magnetic materials for data storage, understanding superconductivity, and investigating the thermodynamic properties of complex magnetic systems in condensed matter physics.

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