Ising Model and Partition FUnction

In summary, the conversation discusses the use of partition function in the context of Boltzmann distribution and Ising model. The partition function is a universal function used to relate the energy of a state to its probability of being populated at a certain temperature. It serves as a normalization factor in converting the Boltzmann factor to a probability. There is no need to consider the fermionic nature of the particles in the Ising model, and the partition function has a wide range of applications.
  • #1
A Dhingra
211
1
Hi all

This is probably a naïve question to ask, but I am puzzled by it and need an answer.
The first time I encountered the term 'partition function' that was in context of Boltzmann distribution. But the same formulas of manipulating a partition function ( to obtain free energy, temperature etc.) are used in 1D or 2D (or more) Ising model. It is quite odd that Ising model is about magnetic interactions of spin 1/2 particles, which are fermions, then why do we use partition function with the Boltzmann weight... Shouldn't there be something in the partition function or elsewhere that tells us which distribution we are talking about?
Further, I want to know how is this idea of partition function derived (or obtained) for a Boltzmann distribution, and other than simplifying the problem what is the relevance of this partition function in any distribution?

thanks for any help...
 
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  • #2
First, in the Ising model the particles are fixed, distinguishable and in different states, whatever the spin. There is therefore no particular care to be taken that they are fermions.

Second, the Boltzmann factor for a state ##s##, ##\exp[-\beta E(s)]##, where ##E(s)]## is the energy of the state, is a "universal" function relating the energy of a state and the probability of it being populated at a temperature ##T## (in the canonical ensemble). It has a very wide application.

The partition function is basically the normalization factor that is needed to convert the Boltzmann factor to a probability, and is the sum of Boltzmann factors over all states.
 

1. What is the Ising model?

The Ising model is a mathematical model used to study the behavior of magnetically ordered materials. It was first proposed by physicist Ernst Ising in 1925 and has since been used in various areas of physics, including statistical mechanics and condensed matter physics.

2. How does the Ising model work?

The Ising model is based on a lattice of discrete spins, which represent the magnetic moments of particles in a material. These spins can either be aligned in an "up" or "down" direction and interact with their nearest neighbors. The model uses statistical mechanics to calculate the probability of each spin configuration and determine the overall behavior of the system.

3. What is the significance of the partition function in the Ising model?

The partition function, also known as the grand canonical partition function, is a key component of the Ising model. It represents the sum of all possible spin configurations and is used to calculate thermodynamic properties such as the average magnetization and energy of the system. It is also used to determine the critical temperature at which a phase transition occurs in the material.

4. How does the Ising model relate to real-world systems?

The Ising model is a simplified representation of real-world systems, but it can provide valuable insights into the behavior of materials and other physical systems. It has been used to study phenomena such as phase transitions, critical behavior, and emergent properties in materials ranging from magnets to social networks.

5. What are some limitations of the Ising model?

While the Ising model has been successful in explaining many physical phenomena, it also has some limitations. One major limitation is that it assumes a simplified lattice structure and does not account for the effects of long-range interactions. It also does not take into account the effects of quantum mechanics, which are important in certain materials. Additionally, it can be difficult to apply the Ising model to systems with a large number of particles or complex interactions.

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