Average magnetic moment of the system

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SUMMARY

The discussion focuses on calculating the average magnetic moment of a paramagnetic system using statistical physics principles. The average magnetic moment, denoted as < M >, is expressed as < M > = μ_B N < σ >, where μ_B is the Bohr magneton and N is the number of spins. The average < σ > represents the mean value of the spin states, calculated through the probability distribution P(σ). The normalization of the probability ensures that the denominator in the average equation equals one, simplifying the calculation.

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  • Understanding of statistical physics concepts
  • Familiarity with the notation of probability distributions
  • Knowledge of magnetic moment and its relation to spin
  • Basic grasp of ensemble theory in statistical mechanics
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This discussion is beneficial for students and researchers in physics, particularly those focusing on statistical mechanics, magnetism, and materials science. It is also useful for anyone looking to deepen their understanding of magnetic properties in paramagnetic systems.

WeiShan Ng
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I was reading the statistical physics textbook and was really confused with the notation:
We denoted the probability of the state (\sigma_1,...,\sigma_N) by P(\sigma_1,...,\sigma_N), and the average of an observable A(\sigma_1,...,\sigma_N) is just
\left&lt; A \right&gt; = \sum_{{\sigma}} P(\sigma_1,...,\sigma_N)A(\sigma_1,...\sigma_N)
The average magnetic moment of a paramagnetic system, in an ensemble defined by P, is determined by the average of A=M=\mu_B(\sigma_1+\sigma_2+...+\sigma_N), so that
\left&lt; M \right&gt; = \mu_B \sum_{\{\sigma\}} \left( \sum_{i} \sigma_i \right) P(\sigma_1,..., \sigma_N)

Next we want to show that \left&lt; M \right&gt; is proportional to the average magnetic moment of a single spin. First we define the probability for a given spin - with i=1 for example-to have the moment \sigma_1(+1 or -1):

P(\sigma_1)=\sum_{\{\sigma\}}&#039; P(\sigma_1,...,\sigma_N)
where \sum&#039; denotes that we are summing over microscopic states with fixed \sigma_1.

We can therefore rewrite \left&lt; M \right&gt; in the form
\left&lt; M \right&gt; = \mu_B N \sum_{\sigma \pm 1} \sigma P(\sigma) = \mu_B N\left&lt; \sigma \right&gt;
where \left&lt; \sigma \right&gt; is the average of the observable A=\sigma_i

I don't understand the last part of the section. Why is that \sum_{\sigma = \pm1} \sigma P(\sigma) equals to \left&lt; \sigma \right&gt;? And what does \left&lt; \sigma \right&gt; actually mean? Is it the average value of the total spin in the paramagnetic system?
 
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WeiShan Ng said:
Is it the average value of the total spin in the paramagnetic system?
Yes, ##<\sigma>## means the average value of the spin. The general equation for the average is
$$\left< M \right> = \mu_B N \frac{ \sum \sigma P(\sigma)}{\sum{ P(\sigma)}} $$
When the probability is normalized, the denominator is 1.
 
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