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I want to find the critical point of tensor $f=a_0b_0c_0 + a_1b_1c_1$ in $\mathbb{C}^2 \otimes \mathbb{C}^2 \otimes \mathbb{C}^2$, and I followed this construction:

First, I take the following partial derivative:

With respect to $a$, $\cfrac{\partial f }{\partial a_0}=b_0c_0, \cfrac{\partial f }{\partial a_1}=b_1c_1,$ and with respect to $b$, $\cfrac{\partial f }{\partial b_0}=a_0c_0, \cfrac{\partial f }{\partial b_1}=a_1c_1,$ and with respect to $c$, $\cfrac{\partial f }{\partial c_0}=a_0b_0, \ \ \cfrac{\partial f }{\partial c_1}=a_1b_1.$

Then I need to find $2 \times 2$-minors of the following matrices: $$ \begin{bmatrix} b_0c_0 & b_1c_1 \\ a_0 & a_1 \\ \end{bmatrix}, \begin{bmatrix} a_0c_0 & a_1c_1 \\ b_0 & b_1 \\ \end{bmatrix}, \begin{bmatrix} a_0b_0 & a_1b_1 \\ c_0 & c_1 \\ \end{bmatrix}, $$ Then I have the following system of equation to solve: \begin{equation*} \left\{ \begin{alignedat}{3} % R & L & R & L & R & L a_1b_0c_0 & - a_0b_1c_1 = 0 \\ b_1a_0c_0 & - b_0a_1c_1 = 0 \\ c_1a_0b_0 & - c_0a_1b_1 = 0 \end{alignedat} \ , \right. \end{equation*} There are 6 variables and 3 equations, and by solving this system we get 23 group of solutions, then we have many infinite solutions, I am wondering if there is another way. Solution has the form: $$(\alpha_0 a_0 + \alpha_1 a_1) \otimes (\beta_0 b_0 + \beta_1 b_1) \otimes (\gamma_0 c_0 + \gamma_1 c_1).$$

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    $\begingroup$ Please do not cross post your question. $\endgroup$
    – Pedro
    Commented May 2, 2021 at 9:14
  • $\begingroup$ I have deleted the question on MSE, I thought MO is better place to ask. Thank you for your note. $\endgroup$
    – B.K-Theory
    Commented May 2, 2021 at 9:36
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    $\begingroup$ Could you please define what exactly do you mean by a critical point in this context? $\endgroup$ Commented May 2, 2021 at 16:41
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    $\begingroup$ Thanks, it is much clearer now! And your last task is straightforward. The system$$\begin{align*}b_0c_0&=\alpha a_0\\b_1c_1&=\alpha a_1\\a_0c_0&=\beta b_0\\a_1c_1&=\beta b_1\\a_0b_0&=\gamma c_0\\a_1b_1&=\gamma c_1\end{align*}$$has in fact 23 solutions, but only six of them satisfy $(a_0,a_1),(b_0,b_1),(c_0,c_1)\ne(0,0)$. These are$$\begin{align*}&(1,0),(1,0),(1,0)\\&(0,1),(0,1),(0,1)\\&(1,1),(1,1),(1,1)\\&(1,1),(1,-1),(1,-1)\\&(1,-1),(1,1),(1,-1)\\&(1,-1),(1,-1),(1,1)\end{align*}$$ $\endgroup$ Commented May 3, 2021 at 6:29
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    $\begingroup$ (Well, more precisely I should probably say$$\begin{align*}&a_0=b_0=c_0=0\\&a_1=b_1=c_1=0\\&a_1=a_0,b_1=b_0,c_1=c_0\\&a_1=a_0,b_1=-b_0,c_1=-c_0\\&a_1=-a_0,b_1=b_0,c_1=-c_0\\&a_1=-a_0,b_1=-b_0,c_1=c_0\end{align*}$$) $\endgroup$ Commented May 3, 2021 at 6:47

1 Answer 1

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Recall. Consider a $d$-dimensional rectangular tensor $T$ in $\mathbb{K}^{n_1 \times \dots \times n_d}$. It corresponds to a multilinear form: $$T=\sum_{i_1=1}^{n_1} \sum_{i_2=1}^{n_2} \dots \sum_{i_n=1}^{n_d} t_{i_1 \dots i_d}x_{i_1}x_{i_2} \dots x_{i_d}.$$ The singular vector tuples (critical points) of $T$ are the fixed points of the gradient map $$\nabla T: \mathbb{P}^{{n_1}-1} \times \dots \mathbb{P}^{{n_d}-1} \dashrightarrow \mathbb{P}^{{n_1}-1} \times \dots \mathbb{P}^{{n_d}-1} .$$

$f$ is considered as a $2 \times 2 \times 2$-tensor. The gradient $\nabla f$ of this trilinear form is the rational map: $$\nabla T: \mathbb{P}^{1} \times \mathbb{P}^{1} \times \mathbb{P}^{1} \dashrightarrow \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \mathbb{P}^{1} \times \mathbb{P}^{1} \times \mathbb{P}^{1} $$ $$((a_0:a_1),(b_0:b_1),(c_0:c_1)) \mapsto \ \ ((b_0c_0:b_1c_1),(a_0c_0:a_1c_1),(a_0b_0:a_1b_1)),$$ then we need to find fixed points of the map $\nabla T$. As we see in the question this leads us to the written system of equations, by solving it we get exactly $6$ solutions which lie on $\mathbb{P}^{1} \times \mathbb{P}^{1} \times \mathbb{P}^{1}$(Segre variety), it means $(a_0,a_1),(b_0,b_1),(c_0,c_1)\neq(0,0)$. The solutions are: $$((1:0),(1:0),(1:0)), \ ((0:1),(0:1),(0:1)), \ ((1:1),(1:1),(1:1)), \ ((1:1),(1:−1),(1:−1)), \ ((1:−1),(1:1),(1:−1)), \ ((1:−1),(1:−1),(1:1)).$$

The expected number of singular vector triples is predicted by the following theorem.

Theorem.[Friedland and Ottaviani] For a general $n_1 \times \dots \times n_d$-tensor $T$ over an algebraically closed field $\mathbb{K}$, the number of singular vector tuples is the coefficient of the monomial $z_{1}^{n_1-1} \dots z_{d}^{d_1-1}$ in the polynomial
$$\prod_{i=1}^{n} \cfrac{\hat{z_i}^{n_i} - {z_i}^{n_i} }{\hat{z_i}-z_i},$$ where $\hat{z_i}=z_1+ \dots +z_{i-1}+z_{i+1}+ \dots + z_d.$ Here our case is $2 \times 2 \times 2$-tensors, so we will have 6 singular triples.

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