5. A set "S = (\\bold e_1, ..., \\bold e_n)" is a basis in linear space "V" if for any "\\bold v \\in V" exists a unique combination of coefficients "v_i, i = 1..n", such that "\\bold v = \\sum_{i=1}^n v_i \\bold e_i". Hence, it suffices to show that some vector in "\\R^3" can not be expressed as linear combination of "\\bold u_1, \\bold u_2". Choose, for instance vector "\\bold u_3 = \\bold u_1 \\times \\bold u_2 = (1, 13, -19)" (Geometric intuition: since "\\bold u_1", "\\bold u_2" span a plane in "\\R^3", vector "\\bold u_3", which is cross product of two, will be perpendicular to the plane, hence it is impossible to express it as linear combinations of them). Now, solve "\\lambda_1 \\bold u_1 + \\lambda_2 \\bold u_2 = \\bold u_3", which is "\\left(\\begin{array}{cc|c} \n -1 & 6 & 1\\\\ \n 3 & 1 & 13\\\\\n2 & 1 & -19 \n\\end{array}\\right)". Reducing the augmented matrix to RREF, obtain "\\left(\\begin{array}{cc|c} \n 1 & 0 & 0\\\\ \n 0 & 1 & 0\\\\\n 0 & 0 & 1\n\\end{array}\\right)".
Obviously, this system has no solutions, because of the last row. Hence, S is not a basis in "\\R^3".
6.
a) Rank of the matrix is the number of non-zero rows in RREF of matrix, hence "rk (A) = 3".
Basis of the row space consists of three non-zero row-vectors of the RREF of the matrix: "\\bold v_1 = (1, -2, 0, 0, 3), \\bold v_2 = (0,1,3,2,0), \\bold v_3 = (0,0,1,1,0)".
b) Since first three column vectors of RREF of the matrix are pivots, first three columns of the original matrix constitute the basis of solution space of "A".
According to rank-nullity theorem, "nullity (A) = 5 - rk (A) = 5 - 3 = 2".
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