The give set is a basis for a subspace W Use the Gramschmidt
     The give set is a basis for a subspace W. Use the Gram-schmidt process to produce an orthogonal basis for W x_1 = [0 1 -1 1], x_2 = [1 1 -1 -1], x_3 = [1 0 1 1] A. [0 1 -1 1],[3 2 -2 -4], [14 2 9 7] B.[0 1 -1 1], [1 0 0 -2], [6 0 1 3] C.[0 1 -1 1],[3 4 -4 -2], [18 4 19 13] D.[0 1 -1 1], [1 1 -1 -1], [1 0 1 1]![The give set is a basis for a subspace W. Use the Gram-schmidt process to produce an orthogonal basis for W x_1 = [0 1 -1 1], x_2 = [1 1 -1 -1], x_3 = [1 0 1 1  The give set is a basis for a subspace W. Use the Gram-schmidt process to produce an orthogonal basis for W x_1 = [0 1 -1 1], x_2 = [1 1 -1 -1], x_3 = [1 0 1 1](/WebImages/29/the-give-set-is-a-basis-for-a-subspace-w-use-the-gramschmidt-1079933-1761566960-0.webp) 
  
  Solution
the first set is the required set since just try to find the dot product of each combination of vectors you can see that the dot product is zero
orthogoality means just dot product is zero
example
in the first set if you take the dot product of first vector a nd second vector we have
0*3+1*2+-1*-2+-1*4 = 0
similary if you take first and third vector we have dot product to be 0*14+1*2+-1*9+1*7 = 0
similarlly third vector and second vector also we have the dot product is zero
so its just enough to check rather going on for gram schmidt process
![The give set is a basis for a subspace W. Use the Gram-schmidt process to produce an orthogonal basis for W x_1 = [0 1 -1 1], x_2 = [1 1 -1 -1], x_3 = [1 0 1 1  The give set is a basis for a subspace W. Use the Gram-schmidt process to produce an orthogonal basis for W x_1 = [0 1 -1 1], x_2 = [1 1 -1 -1], x_3 = [1 0 1 1](/WebImages/29/the-give-set-is-a-basis-for-a-subspace-w-use-the-gramschmidt-1079933-1761566960-0.webp)
