Investigate the linear dependence and independence of the vector X1=(1,2,3), X2=(2,-1,3), X3=(0,1,2), X4=(-3,7,2)
We are tasked with finding a nonzero solution "\\left(a_{1}, a_{2}, a_{3}, a_{4}\\right)" to the equation:
"a_{1} x_{1}+a_{2} x_{2}+a_{3} x_{3}+a_{4} x_{4}=\\mathbf{0}"
This is the same as finding a nonzero solution "\\left(a_{1}, a_{2}, a_{3}, a_{4}\\right)" to the system
"\\left\\{\\begin{array}{l}\n\n1 a_{1}-3 a_{2}+1 a_{3}+2 a_{2}=0 \\\\\n\n-1 a_{1}+2 a_{2}+2 a_{3}+3 a_{4}=0 \\\\\n\n2 a_{1}+1 a_{2}-3 a_{3}+1 a_{4}=0\n\n\\end{array}\\right."
This is the same as finding a solution "\\left[a_{1}, a_{2}, a_{3}, a_{4}\\right]^{T}" to the matrix equation
"\\left[\\begin{array}{cccc}\n\n1 & -3 & 1 & 2 \\\\\n\n-1 & 2 & 2 & 3 \\\\\n\n2 & 1 & -3 & 1\n\n\\end{array}\\right]\\left[\\begin{array}{l}\na_{1} \\\\\n\na_{2} \\\\\n\na_{3} \\\\\n\na_{4}\n\n\\end{array}\\right]=\\left[\\begin{array}{l}\n\n0 \\\\\n\n0 \\\\\n\n0\n\n\\end{array}\\right]"
In other words, we are trying to find the kernel of the matrix.
Row reducing
"\\operatorname{rref}\\left(\\left[\\begin{array}{cccc}\n\n1 & -3 & 1 & 2 \\\\\n\n-1 & 2 & 2 & 3 \\\\\n\n2 & 1 & -3 & 1\n\n\\end{array}\\right]\\right)=\\left[\\begin{array}{llll}\n\n1 & 0 & 0 & 3 \\\\\n\n0 & 1 & 0 & 1 \\\\\n\n0 & 0 & 1 & 2\n\n\\end{array}\\right]"
Remembering that row-reducing a system of equations retains the solution-set of the system and reinterpreting this as a system of equations this is the system:
"\\left\\{\\begin{array}{rrrrr}\n\n1 a_{1} & & & +3 a_{4} & =0 \\\\\n\n& 1 a_{2} & & +1 a_{4} & =0 \\\\\n\n& & 1 a_{3} & +2 a_{4} & =0\n\n\\end{array}\\right."
This tells us that for "\\left(a_{1}, a_{2}, a_{3}, a_{4}\\right)" to be a solution that "a_{1}=-3 a_{4}, a_{2}=-a_{4}" and "a_{3}=-2 a_{4}"
Picking any number (other than zero) for "a_{4}" , we can then write a linear combination of "x_{1}, \\ldots, x_{4}" resulting in zero.
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