Since "\\begin{pmatrix}\n 1 \\\\\n 2 \\\\\n 3\\\\\n\\end{pmatrix}" and "\\begin{pmatrix}\n 4\\\\\n 5\\\\6\\\\\n\\end{pmatrix}" spans "Img(T)," then for any "y \\in Img(T), y" can be written as a linear combination of "\\begin{pmatrix}\n 1 \\\\\n 2 \\\\\n 3\\\\\n\\end{pmatrix}" and "\\begin{pmatrix}\n 4\\\\\n 5\\\\6\\\\\n\\end{pmatrix}" .
i.e.
"T(x)=y=\\begin{pmatrix}\n 1 \\\\\n 2 \\\\\n 3\\\\\n\\end{pmatrix}\\alpha + \\begin{pmatrix}\n 4\\\\\n 5\\\\6\\\\\n\\end{pmatrix}\\beta"
So, the two vectors and any vector will form the linear mapping "T".
Since only the two vectors span the space, the third column is not linearly independent. Any vector that is a linear combination of the other two, will do. So any matrix of the form "T=\\begin{pmatrix}\n 1&4&x+4y\\\\\n 2&5&2x+5y\\\\\n 3&6&3x+6y\\\\\n\\end{pmatrix}"
has the designed properties of the linear mapping for any "x, y\\in \\R."
A trivial example is
"T=\\begin{pmatrix}\n 1&4&0\\\\\n 2&5&0\\\\\n 3&6&0\\\\\n\\end{pmatrix}"
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