models:spin_models

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Spin models can be classified depending on how many different states are possible at each lattice site and if the set of possible states is continuous or discrete. | Spin models can be classified depending on how many different states are possible at each lattice site and if the set of possible states is continuous or discrete. | ||

- | * Models with a discrete set of states are called Potts models. | + | * Models with a discrete set of states are called **Potts models**. |

- | * Models with a continuous set of states are called n-Vector models | + | * Models with a continuous set of states are called **n-Vector models**. |

Within these subcategories we have different models depending on how many states there are in total. For Potts models, the number of orientations that are possible is denoted by $Q$. For n-vector models, the dimension in which the continuous set of states live at each node is denoted by an $n$. | Within these subcategories we have different models depending on how many states there are in total. For Potts models, the number of orientations that are possible is denoted by $Q$. For n-vector models, the dimension in which the continuous set of states live at each node is denoted by an $n$. |

models/spin_models.txt · Last modified: 2020/04/12 14:47 by jakobadmin

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