Using Gram-Schmidt orthogonalisation process, orthonormalise the liner independent subset (1, 1, 1), (0, 1, 1), (0, 0, 1)\
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3 stepsHere's how to orthonormalize the given set of linearly independent vectors using the Gram-Schmidt process:
Let the given vectors be , , and .
We will construct an orthonormal set .
Calculate .
The first orthonormal vector is obtained by normalizing .
First, find the norm of :
Now, calculate :
Calculate .
To find , we first find an orthogonal vector by subtracting the projection of onto from .
First, calculate the dot product :
Now, calculate :
Next, normalize to get :
Calculate .
To find , we first find an orthogonal vector by subtracting the projections of onto and from .
First, calculate the dot product :
Next, calculate the dot product :
Now, calculate :
Finally, normalize to get :
The orthonormal set of vectors is:
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