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Let's say you have $n-1$ vectors in $\mathbb{R}^n$. Your goal is to find a vector to the hyperplane created by the span of the vectors.
The vector $\vec{x}$ has to satisfy these equations
$$v_1 \cdot x = 0 , v_2 \cdot x = 0, \dots , v_{n-1} \cdot x = 0$$
Now, let's rewrite these equations
$$v_1^Tx = 0, v_2^Tx = 0, v_3^Tx = 0, \dots , v_{n-1}^Tx = 0$$
We can rewrite this into a matrix
$$\begin{bmatrix}v_1^Tx\\v_2^Tx\\v_3^Tx\\...\\v_{n-1}^Tx\end{bmatrix} = \vec{0}_{n-1}$$
Recall that this is also the row definition of matrix multiplication.
$$\begin{bmatrix}v_1^T\\v_2^T\\\dots\\v_{n-1}^T\end{bmatrix}x = \vec{0}$$
Our goal is to find the null space of the tranpose of the vectors.