blog:2023-03-10
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blog:2023-03-10 [2023/03/11 05:12] – pzhou | blog:2023-03-10 [2023/06/25 15:53] (current) – external edit 127.0.0.1 | ||
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出了趟门,得瑟了。我对$\Om(V)$说。$V$说,不是我的错,$\Om$对谁都这样。 | 出了趟门,得瑟了。我对$\Om(V)$说。$V$说,不是我的错,$\Om$对谁都这样。 | ||
+ | |||
+ | $\Om$ automatically comes with structure maps | ||
+ | $$ \Om(V) \to V, \quad LR V \to V, \quad id_{RV}: RV \to RV $$ | ||
+ | now, why we have adjoint? I think it must be the summation $ V \oplus V \to V$, there is nothing better than summation. It generalizes to many points. | ||
+ | and we have another one | ||
+ | $$ \Om(V) \to \Om \Om V, \quad V\oplus V \to V\oplus V \oplus V\oplus V. $$ | ||
+ | How does this work? We know that $LR(V) \to L (RL) R(V)$, so if we have $(W_1, W_2) \in \ccal$, what does $W \to RL(W)$ do? $RL(W) = (W_1 \oplus W_2,W_1 \oplus W_2)$, so it must be the. | ||
+ | |||
+ | Let's do a bit marking. $\Om(V) = V e_1 \oplus V e_2$, so we keep track of which vector space is sitting at which point. So, we have | ||
+ | $$ R(V) \to RLR(V), \quad (V_1, V_2) \to (V_1 \oplus V_2, V_1 \oplus V_2) $$ | ||
+ | so when they get pushed down, we have | ||
+ | $$ V_1 \oplus V_2 \to V_{11} \oplus V_{12} \oplus V_{21} \oplus V_{22} $$ | ||
+ | and this map is | ||
+ | $$ V_1 \to V_{11}, \quad V_2 \to V_{22} $$ | ||
+ | the subscript is the vector space' | ||
+ | |||
+ | Let's try to build some $\Om$ comodule, basically, we need to decide how to map | ||
+ | $$ V \to \Om V = V_1 \oplus V_2 $$ | ||
+ | suppose we have some linear transformation $v \mapsto T_1 v \oplus T_2 v$. | ||
+ | Assum $V$ is rank $1$. Then $T_i$ are scalar, and we have $T_1 + T_2 = 1$. | ||
+ | |||
+ | Then, we check the $V \to \Om V \to \Om \Om V$, if we use $\Om$ to split, then we have | ||
+ | $$ v \mapsto (T_1 v, T_2 v) \mapsto (T_1 v, 0; 0, T_2 v) $$ | ||
+ | if we use co-action of $V$, then we get | ||
+ | $$ v \mapsto (T_1 v, T_2 v) \mapsto (T_1 T_1 v, T_1 T_2 v; T_2 T_1 v, T_2^2 v) $$ | ||
+ | hence, we need to have $T_i^2 = T_i, T_1 T_2=0$. The only chance here is that $(T_1, T_2)= (1,0)$ or $(T_1, T_2) = (0, 1)$. | ||
+ | |||
+ | That's only for rank-1 comodule. How about | ||
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+ | |||
+ | You know what is the easiest way to get comodule? Just take the image of $L$. Suppose we have $(V, W)$ upstairs, and we get $V \oplus W$ downstairs. Then, we need to know how does $L (V,W) \mapsto LRL(V,W)$ | ||
+ | $$ V \oplus W \to (V_1 \oplus W_1) \oplus (V_2 \oplus W_2), (v,w) \mapsto ( (v,0), (0, w)) $$ | ||
+ | so there is only one reasonable thing to do. | ||
+ | |||
+ | Summary, what is the comonad structure? It is equip $\Om V$ with the trail of paths (here two paths) as it moves up and down. | ||
+ | |||
+ | What is the comodule structure? It is dividing $v$ into $v=v_1 + v_2$. Some sort of idempotent projection. | ||
+ | |||
+ | ==== Another example ==== | ||
+ | Consider the skeleton of a cross, and consider the localization to the vertical line and horizontal line. | ||
+ | |||
+ | Danny says, these two localization functors preserves limit (left exact), hence satisfies Barr-Beck. | ||
+ | |||
+ | when you kill a linking disk (cocore to some non-compact component of a skeleton), everybody will do negative Reeb flow to snap on the skeleton again. How do I know if that motion preserves limit? | ||
+ | |||
+ | The word ' | ||
+ | |||
+ | So, don't worry about the words if you don't know what it means. Let's just see, if you can understand the comodule. | ||
+ | |||
+ | So, we understand $\dcal$, which is just $Vect \times Vect$. And the comodules $\Omega$ is doing what? It is | ||
+ | $$ \Omega(V_1 , V_2) = (V_1 + V_2[1], V_2 + V_1) $$ | ||
+ | so it is clear, what is the co-unit map. And what is $\Om (V_1 , V_2) \to \Om \Om (V_1 , V_2)$? First, what is $ | ||
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blog/2023-03-10.1678511541.txt.gz · Last modified: 2023/06/25 15:53 (external edit)