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Sep 29, 2020 at 0:43 history became hot network question
Sep 29, 2020 at 0:19 vote accept Ben
Sep 29, 2020 at 0:17 answer added Zach Teitler timeline score: 9
Sep 28, 2020 at 21:37 comment added Ben $x_1 \vee x_2=x_1 \otimes x_2 + x_2 \otimes x_1$ is often tensor rank 2, but clearly has rank 1 with respect to the notion I am asking about.
Sep 28, 2020 at 19:22 comment added Abdelmalek Abdesselam The $x_1\vee\cdots\vee x_m$ is the tensor rank, whereas the $x^{\otimes m}$ is the Waring rank.
Sep 28, 2020 at 19:20 comment added Ben Good point, so the $x_1 \vee \dots \vee x_m$ rank is at most the tensor rank (and also the Waring rank). I'm pretty sure that all three of these ranks can be different, though.
Sep 28, 2020 at 19:17 comment added Abdelmalek Abdesselam symmetrize post decomposition
Sep 28, 2020 at 19:15 comment added Ben @AbdelmalekAbdesselam I thought Comon's conjecture was that the tensor rank and Waring rank of a symmetric tensor agree? For tensor rank, the decomposables are $x_1 \otimes \dots \otimes x_m$. For Waring rank, the decomposables are $x^{\otimes m}$. Neither are $x_1 \vee \dots \vee x_m$.
Sep 28, 2020 at 19:12 comment added Abdelmalek Abdesselam The notions of rank and (border rank) for the two definitions are related and were conjectured to be the same (Comon Conjecture). However, this has been disproved arxiv.org/abs/1705.08740
Sep 28, 2020 at 17:32 comment added Ben It's worth noting that $\mathbb{C}^n \otimes \mathbb{C}^m$ is isomorphic to the vector space of $n \times m$ matrices, with the elements of the form $v \otimes w$ mapping to the set of rank-one matrices.
Sep 28, 2020 at 17:30 comment added Ben Let's stick to two spaces: $V \otimes W$ is defined as the free vector space spanned by $(v,w)$ for all $v \in V$ and $w \in W$, quotiented by relations like $(v,w+u)=(v,w)+(v,u)$ that make $(\cdot, \cdot)$ into a bilinear map. This quotient space is $V \otimes W$ and the equivalence class of elements of the form $(v,w)$ is referred to as $v \otimes w$. See en.wikipedia.org/wiki/Tensor_product
Sep 28, 2020 at 17:23 comment added DCM Re. $m$ and $n$: no that's a typo. Sorry! Re. what I'm getting at: how do you define the '$m$-factors' of an arbitrary element of the tensor product? (they aren't all of the form $x_1\otimes \dots \otimes x_m$). Note: this is possibly me just being ignorant, but it's possibly worth clarifying.
Sep 28, 2020 at 17:17 comment added Ben Not sure what you mean... Have you replaced $m$ with $n$ for a reason? en.wikipedia.org/wiki/Tensor_product#Tensor_powers_and_braiding
Sep 28, 2020 at 17:14 comment added DCM This is probably me being dumb, but... how does one define the $m$-factors of $\sum_{i\in I} x_{i_1}\otimes\dots \otimes x_{i_n}$ for an arbitrary finite $I$?
Sep 28, 2020 at 17:10 comment added Ben @DCM Yes, thanks! I'm not sure what the ambiguity is with $(\mathbb{C}^n)^{\otimes m}$. I mean the $m$-fold tensor product of $\mathbb{C}^n$, as a vector space.
Sep 28, 2020 at 17:10 comment added DCM Ah - you fixed the $S_m$ :)
Sep 28, 2020 at 17:08 history edited Ben CC BY-SA 4.0
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Sep 28, 2020 at 17:07 comment added DCM Could you clarify what you mean by $(\mathbb{C}^n)^{\otimes m}$ here? (I'm not sure I know what the "m-factors" of a generic element of $(\mathbb{C}^n)^{\otimes m}$ are, but perhaps I'm just naive). Also, I think the $S_n$ in your definition of $x_1\vee \dots \vee x_m$ should be an $S_m$.
Sep 28, 2020 at 16:37 history asked Ben CC BY-SA 4.0