prove that the vectors (1,0,0) ( 0,1,0) (1,1,0) is linearly dependent .
The set S = {v1, v2, v3} of vectors in R3 is linearly independent if the only solution of
c1v1 + c2v2 + c3v3 = 0
is c1, c2, c3 = 0
Otherwise (i.e., if a solution with at least some nonzero values exists), S is linearly dependent.
With our vectors v1, v2, v3, becomes:
c1(1,0,0) + c2 (0,1,0) + c3(1,1,0) =(0,0,0)
Rearranging the left hand side yields
1 c1 +0 c2 +1 c3 =0
0 c1 +1 c2 +1 c3 =0
0 c1 +0 c2 +0 c3 = 0
The matrix equation above is equivalent to the following homogeneous system of equations
1 c1 +0 c2 +1 c3 =0
0 c1 +1 c2 +1 c3 =0
0 c1 +0 c2 +0 c3 = 0
Step 2: Transform the coefficient matrix of the system to the reduced row echelon form
We now transform the coefficient matrix of the homogeneous system above to the reduced row echelon form to determine whether the system has
"\\begin{bmatrix}\n 1 &0 &1 \\\\\n\n0 &1 & 1 \\\\\n\n0 &0& 0\\\\\n\\end{bmatrix}"
Matrix is already in the reduced row echelon form.
Step 3: Interpret the reduced row echelon form
The reduced row echelon form of the coefficient matrix of the homogeneous system is
"\\begin{bmatrix}\n \\boldsymbol{1} &0 &1 \\\\\n\n0 &\\boldsymbol{1} & 1 \\\\\n\n0 &0& 0\\\\\n\\end{bmatrix}"
which corresponds to the system
1 c1 +1 c3=0
1 c2 +1 c3 =0
0=0
The leading entries have been highlighted in bold.
Since some columns do not contain leading entries, then the system has nontrivial solutions, so that some of the values c1, c2, c3 solving may be nonzero.
Therefore the set S = {v1, v2, v3} is linearly dependent.
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