"Categorification in mathematics"의 두 판 사이의 차이
		
		
		
		
		
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imported>Pythagoras0  (새 문서: ==introduction== * general motivation for categorification * algebraic/geometric structures <-> category * we can use general properties of the category $\mathcal{C}$ * It's a long es...)  | 
				imported>Pythagoras0   | 
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| 8번째 줄: | 8번째 줄: | ||
* One can try to extend this idea to a bigger stage, by, say, taking a vector space, and trying to make a category by defining morphisms between its vectors.  | * One can try to extend this idea to a bigger stage, by, say, taking a vector space, and trying to make a category by defining morphisms between its vectors.  | ||
* This approach (interpreted suitably) has been a remarkable success with the representation theory of semi-simple Lie algebras (and their associated quantum groups).  | * This approach (interpreted suitably) has been a remarkable success with the representation theory of semi-simple Lie algebras (and their associated quantum groups).  | ||
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| + | ==related items==  | ||
| + | * [[Categorification of quantum groups]]  | ||
| + | * [[Monoidal categorifications of cluster algebras]]  | ||
2015년 6월 14일 (일) 16:54 판
introduction
- general motivation for categorification
 - algebraic/geometric structures <-> category
 - we can use general properties of the category $\mathcal{C}$
 - It's a long established principle that an interesting way to think about numbers as the sizes of sets or dimensions of vector spaces, or better yet, the Euler characteristic of complexes.
 - You can't have a map between numbers, but you can have one between sets or vector spaces.
 - For example, Euler characteristic of topological spaces is not functorial, but homology is.
 - One can try to extend this idea to a bigger stage, by, say, taking a vector space, and trying to make a category by defining morphisms between its vectors.
 - This approach (interpreted suitably) has been a remarkable success with the representation theory of semi-simple Lie algebras (and their associated quantum groups).