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Computing the center of a fusion category
Representation Theory · Submitted 19 Jun 2024
abstract compiled · 2026-10-16 · no language-model review
The authors' main claim We present an algorithm for explicitly computing the categorical (Drinfeld) center of a pivotal fusion category.
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The abstract, sentence by sentence
We present an algorithm for explicitly computing the categorical (Drinfeld) center of a pivotal fusion category. Our approach is based on decomposing the images of simple objects under the induction functor from the category to its center. We have implemented this algorithm in a general-purpose software framework TensorCategories for tensor categories that we develop within the open-source computer algebra system OSCAR. We compute explicit models for the centers in form of the tuples $(X,\gamma)$ where $X$ is an object and $\gamma$ is a half-braiding. From these models we can compute the $F$-symbols and $R$-symbols. Using the data from the AnyonWiki, we were able to compute the center together with its $F$-symbols and $R$-symbols for all the 279 multiplicity-free fusion categories up to rank 5, and furthermore some chosen examples of rank 6, including the Haagerup subfactor (presented in a separate paper). Some of these centers yield new high-rank and not multiplicity-free examples of modular categories, e.g. rank 21 and multiplicity 2.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | We present an algorithm for explicitly computing the categorical (Drinfeld) center of a pivotal fusion category. | contribution 1.00 | 0.95 | 0.57 | asserted 1.00 |
| s1 | Our approach is based on decomposing the images of simple objects under the induction functor from the category to its center. | method 1.00 | 0.81 | 0.06 | asserted 1.00 |
| s2 | We have implemented this algorithm in a general-purpose software framework TensorCategories for tensor categories that we develop within the open-source computer algebra system OSCAR. | method 0.58 | 0.95 | 0.05 | asserted 1.00 |
| s3 | We compute explicit models for the centers in form of the tuples $(X,\gamma)$ where $X$ is an object and $\gamma$ is a half-braiding. | method 0.74 | 0.93 | 0.13 | asserted 1.00 |
| s4 | From these models we can compute the $F$-symbols and $R$-symbols. | method 0.72 | 0.86 | 0.06 | asserted 0.78 |
| s5 | Using the data from the AnyonWiki, we were able to compute the center together with its $F$-symbols and $R$-symbols for all the 279 multiplicity-free fusion categories up to rank 5, and furthermore some chosen examples of rank 6, including the Haagerup subfactor (presented in a separate paper). | result 0.94 | 0.95 | 0.31 | asserted 1.00 |
| s6 | Some of these centers yield new high-rank and not multiplicity-free examples of modular categories, e.g. rank 21 and multiplicity 2. | result 0.97 | 0.91 | 0.18 | asserted 0.97 |
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Original abstract
We present an algorithm for explicitly computing the categorical (Drinfeld) center of a pivotal fusion category. Our approach is based on decomposing the images of simple objects under the induction functor from the category to its center. We have implemented this algorithm in a general-purpose software framework TensorCategories for tensor categories that we develop within the open-source computer algebra system OSCAR. We compute explicit models for the centers in form of the tuples $(X,\gamma)$ where $X$ is an object and $\gamma$ is a half-braiding. From these models we can compute the $F$-symbols and $R$-symbols. Using the data from the AnyonWiki, we were able to compute the center together with its $F$-symbols and $R$-symbols for all the 279 multiplicity-free fusion categories up to rank 5, and furthermore some chosen examples of rank 6, including the Haagerup subfactor (presented in a separate paper). Some of these centers yield new high-rank and not multiplicity-free examples of modular categories, e.g. rank 21 and multiplicity 2.
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