An Introduction to Khovanov Homology

An Introduction to Khovanov Homology

An Introduction to Khovanov Homology Dan Jones GAndAlF / RADAGAST 20th March 2014 Dan Jones An Introduction to Khovanov Homology 1 Construct a cube of resolutions using 0 1 So if D has n crossings, there are 2n different (complete) resolutions. We present them on the vertices of the cube [0:1]n. 2 Apply a (1 + 1)-dimensional TQFT to this cube. This associates a vector space to every circle, and map between vector spaces to a cobordism between circles. The Khovanov Complex In order to construct the Khovanov complex, we have to: Dan Jones An Introduction to Khovanov Homology 0 1 So if D has n crossings, there are 2n different (complete) resolutions. We present them on the vertices of the cube [0:1]n. 2 Apply a (1 + 1)-dimensional TQFT to this cube. This associates a vector space to every circle, and map between vector spaces to a cobordism between circles. The Khovanov Complex In order to construct the Khovanov complex, we have to: 1 Construct a cube of resolutions using Dan Jones An Introduction to Khovanov Homology 0 1 2 Apply a (1 + 1)-dimensional TQFT to this cube. This associates a vector space to every circle, and map between vector spaces to a cobordism between circles. The Khovanov Complex In order to construct the Khovanov complex, we have to: 1 Construct a cube of resolutions using So if D has n crossings, there are 2n different (complete) resolutions. We present them on the vertices of the cube [0:1]n. Dan Jones An Introduction to Khovanov Homology 0 1 This associates a vector space to every circle, and map between vector spaces to a cobordism between circles. The Khovanov Complex In order to construct the Khovanov complex, we have to: 1 Construct a cube of resolutions using So if D has n crossings, there are 2n different (complete) resolutions. We present them on the vertices of the cube [0:1]n. 2 Apply a (1 + 1)-dimensional TQFT to this cube. Dan Jones An Introduction to Khovanov Homology 0 1 The Khovanov Complex In order to construct the Khovanov complex, we have to: 1 Construct a cube of resolutions using So if D has n crossings, there are 2n different (complete) resolutions. We present them on the vertices of the cube [0:1]n. 2 Apply a (1 + 1)-dimensional TQFT to this cube. This associates a vector space to every circle, and map between vector spaces to a cobordism between circles. Dan Jones An Introduction to Khovanov Homology Example: The trefoil Dan Jones An Introduction to Khovanov Homology So a cobordism on an edge should correspond to a change from a 0-resolution to a 1-resolution: So every cobordism will contain this saddle-cobordism. Cobordisms on edges We think of the resolution cube as increasing from 000 to 111. Then going along each edge of the cube results in exactly one coordinate changing from 0 to 1. Dan Jones An Introduction to Khovanov Homology Cobordisms on edges We think of the resolution cube as increasing from 000 to 111. Then going along each edge of the cube results in exactly one coordinate changing from 0 to 1. So a cobordism on an edge should correspond to a change from a 0-resolution to a 1-resolution: So every cobordism will contain this saddle-cobordism. Dan Jones An Introduction to Khovanov Homology Then a (1 + 1)-dimensional TQFT A assigns to each circle in the resolution cube, the vector space V . Each additional circle corresponds to a tensor factor of V . A assigns to a cobordism of circles, a map between vector spaces. Since the cobordisms on edges change one crossing from a 0-smoothing to a 1-smoothing, we will either be merging circles, or splitting them. The corresponding maps are m :V ⊗ V ! V ∆ :V ! V ⊗ V v+ ⊗ v+ 7! v+ v+ 7! v+ ⊗ v− + v− ⊗ v+ v+ ⊗ v− 7! v− v− 7! v− ⊗ v− v− ⊗ v+ 7! v− v− ⊗ v− 7! 0 A (1 + 1)-dimensional TQFT Let V be a graded vector space spanned by v+ and v−. Dan Jones An Introduction to Khovanov Homology Each additional circle corresponds to a tensor factor of V . A assigns to a cobordism of circles, a map between vector spaces. Since the cobordisms on edges change one crossing from a 0-smoothing to a 1-smoothing, we will either be merging circles, or splitting them. The corresponding maps are m :V ⊗ V ! V ∆ :V ! V ⊗ V v+ ⊗ v+ 7! v+ v+ 7! v+ ⊗ v− + v− ⊗ v+ v+ ⊗ v− 7! v− v− 7! v− ⊗ v− v− ⊗ v+ 7! v− v− ⊗ v− 7! 0 A (1 + 1)-dimensional TQFT Let V be a graded vector space spanned by v+ and v−. Then a (1 + 1)-dimensional TQFT A assigns to each circle in the resolution cube, the vector space V . Dan Jones An Introduction to Khovanov Homology A assigns to a cobordism of circles, a map between vector spaces. Since the cobordisms on edges change one crossing from a 0-smoothing to a 1-smoothing, we will either be merging circles, or splitting them. The corresponding maps are m :V ⊗ V ! V ∆ :V ! V ⊗ V v+ ⊗ v+ 7! v+ v+ 7! v+ ⊗ v− + v− ⊗ v+ v+ ⊗ v− 7! v− v− 7! v− ⊗ v− v− ⊗ v+ 7! v− v− ⊗ v− 7! 0 A (1 + 1)-dimensional TQFT Let V be a graded vector space spanned by v+ and v−. Then a (1 + 1)-dimensional TQFT A assigns to each circle in the resolution cube, the vector space V . Each additional circle corresponds to a tensor factor of V . Dan Jones An Introduction to Khovanov Homology Since the cobordisms on edges change one crossing from a 0-smoothing to a 1-smoothing, we will either be merging circles, or splitting them. The corresponding maps are m :V ⊗ V ! V ∆ :V ! V ⊗ V v+ ⊗ v+ 7! v+ v+ 7! v+ ⊗ v− + v− ⊗ v+ v+ ⊗ v− 7! v− v− 7! v− ⊗ v− v− ⊗ v+ 7! v− v− ⊗ v− 7! 0 A (1 + 1)-dimensional TQFT Let V be a graded vector space spanned by v+ and v−. Then a (1 + 1)-dimensional TQFT A assigns to each circle in the resolution cube, the vector space V . Each additional circle corresponds to a tensor factor of V . A assigns to a cobordism of circles, a map between vector spaces. Dan Jones An Introduction to Khovanov Homology The corresponding maps are m :V ⊗ V ! V ∆ :V ! V ⊗ V v+ ⊗ v+ 7! v+ v+ 7! v+ ⊗ v− + v− ⊗ v+ v+ ⊗ v− 7! v− v− 7! v− ⊗ v− v− ⊗ v+ 7! v− v− ⊗ v− 7! 0 A (1 + 1)-dimensional TQFT Let V be a graded vector space spanned by v+ and v−. Then a (1 + 1)-dimensional TQFT A assigns to each circle in the resolution cube, the vector space V . Each additional circle corresponds to a tensor factor of V . A assigns to a cobordism of circles, a map between vector spaces. Since the cobordisms on edges change one crossing from a 0-smoothing to a 1-smoothing, we will either be merging circles, or splitting them. Dan Jones An Introduction to Khovanov Homology A (1 + 1)-dimensional TQFT Let V be a graded vector space spanned by v+ and v−. Then a (1 + 1)-dimensional TQFT A assigns to each circle in the resolution cube, the vector space V . Each additional circle corresponds to a tensor factor of V . A assigns to a cobordism of circles, a map between vector spaces. Since the cobordisms on edges change one crossing from a 0-smoothing to a 1-smoothing, we will either be merging circles, or splitting them. The corresponding maps are m :V ⊗ V ! V ∆ :V ! V ⊗ V v+ ⊗ v+ 7! v+ v+ 7! v+ ⊗ v− + v− ⊗ v+ v+ ⊗ v− 7! v− v− 7! v− ⊗ v− v− ⊗ v+ 7! v− v− ⊗ v− 7! 0 Dan Jones An Introduction to Khovanov Homology Example: The Trefoil Dan Jones An Introduction to Khovanov Homology So it corresponds to a collection of k circles, or equivalently the k-tensor product V ⊗k . Denote w as the image of v under an edge-cobordism. Then: Define a homological grading as h(v) = jvj − n−. h(w) = h(v) + 1. Define grading α by setting α(v+) = 1 and α(v−) = −1. This is extended to tensors as α(v1 ⊗ · · · ⊗ vk ) = α(v1) + ··· + α(vk ). α(w) = α(v) − 1. We use α to define a quantum grading q as q(v) = α(v) + h(v) + n+ − n−. q(w) = q(v). Gradings Let v be a vertex of the resolution cube. Dan Jones An Introduction to Khovanov Homology Denote w as the image of v under an edge-cobordism. Then: Define a homological grading as h(v) = jvj − n−. h(w) = h(v) + 1. Define grading α by setting α(v+) = 1 and α(v−) = −1. This is extended to tensors as α(v1 ⊗ · · · ⊗ vk ) = α(v1) + ··· + α(vk ). α(w) = α(v) − 1. We use α to define a quantum grading q as q(v) = α(v) + h(v) + n+ − n−. q(w) = q(v). Gradings Let v be a vertex of the resolution cube. So it corresponds to a collection of k circles, or equivalently the k-tensor product V ⊗k . Dan Jones An Introduction to Khovanov Homology Then: Define a homological grading as h(v) = jvj − n−. h(w) = h(v) + 1. Define grading α by setting α(v+) = 1 and α(v−) = −1. This is extended to tensors as α(v1 ⊗ · · · ⊗ vk ) = α(v1) + ··· + α(vk ).

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