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 models:spin_models [2018/05/07 07:24]jakobadmin [Overview] models:spin_models [2020/04/12 14:47]jakobadmin Both sides previous revision Previous revision 2020/04/12 14:47 jakobadmin 2018/05/07 14:01 jakobadmin [Overview] 2018/05/07 07:24 jakobadmin [Overview] 2018/05/07 07:24 jakobadmin [Overview] 2018/05/07 07:24 jakobadmin [Why is interesting?] 2018/05/07 07:22 jakobadmin [Overview] 2018/05/07 07:22 jakobadmin [Overview] 2018/05/07 07:14 jakobadmin [Overview] 2018/05/05 11:19 jakobadmin 2018/05/05 11:16 jakobadmin [Overview] 2018/05/05 11:12 jakobadmin [Overview] 2018/05/05 11:09 jakobadmin [Overview] 2018/05/05 11:09 jakobadmin 2018/05/05 10:50 jakobadmin [Why is it interesting?] 2018/05/05 10:50 jakobadmin created Next revision Previous revision 2020/04/12 14:47 jakobadmin 2018/05/07 14:01 jakobadmin [Overview] 2018/05/07 07:24 jakobadmin [Overview] 2018/05/07 07:24 jakobadmin [Overview] 2018/05/07 07:24 jakobadmin [Why is interesting?] 2018/05/07 07:22 jakobadmin [Overview] 2018/05/07 07:22 jakobadmin [Overview] 2018/05/07 07:14 jakobadmin [Overview] 2018/05/05 11:19 jakobadmin 2018/05/05 11:16 jakobadmin [Overview] 2018/05/05 11:12 jakobadmin [Overview] 2018/05/05 11:09 jakobadmin [Overview] 2018/05/05 11:09 jakobadmin 2018/05/05 10:50 jakobadmin [Why is it interesting?] 2018/05/05 10:50 jakobadmin created Line 1: Line 1: ====== Spin Models ====== ====== Spin Models ====== - -  ​  ​ Line 9: Line 7: 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 $n$.