Let $B$ be the $3\times 3$ matrix whose columns are the vectors $\mathbf{x},\mathbf{y}, \mathbf{z}$, that is,
\[B=[\mathbf{x} \mathbf{y} \mathbf{z}].\]

Then we have
\[AB=\begin{bmatrix}
1 & 0 & 1 \\
0 &1 &1 \\
1 & 0 & 1
\end{bmatrix}.\]

Then we have
\[\det(A)\det(B)=\det(AB)=\begin{vmatrix}
1 & 0 & 1 \\
0 &1 &1 \\
1 & 0 & 1
\end{vmatrix}=0.\]
(If two rows are equal, then the determinant is zero. Or you may compute the determinant by the second column cofactor expansion.)

Note that the column vectors of $B$ are linearly independent, and hence $B$ is nonsingular matrix. Thus the $\det(B)\neq 0$.
Therefore the determinant of $A$ must be zero.

we have
\[A\mathbf{x}+A\mathbf{y}=A\mathbf{z}.\]
It follows that we have
\[A(\mathbf{x}+\mathbf{y}-\mathbf{z})=\mathbf{0}.\]

Since the vectors $\mathbf{x}, \mathbf{y}, \mathbf{z}$ are linearly independent, the linear combination $\mathbf{x}+\mathbf{y}-\mathbf{z} \neq \mathbf{0}$.
Hence the matrix $A$ is singular, and the determinant of $A$ is zero.

(Recall that a matrix $A$ is singular if and only if there exist nonzero vector $\mathbf{v}$ such that $A\mathbf{u}=\mathbf{0}$.)

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