Final answer:
To construct an orthonormal basis for the given vectors using the Gram-Schmidt process, you generalize each vector sequentially, ensuring each is orthogonal to the previous, and then normalizing them to have unit length.
Step-by-step explanation:
To construct an orthonormal basis for the given set of vectors {(1,2,3),(2,3,4),(2,5,7)}, we use the Gram-Schmidt process followed by normalization. The process converts a set of vectors into an orthogonal set, and then we turn it into an orthonormal set by dividing each vector by its magnitude.
- Start with the first vector (1,2,3) and normalize it by dividing by its magnitude, getting the first unit vector u1.
- Next, subtract the projection of the second vector (2,3,4) along u1 from itself to get a vector orthogonal to u1. Normalize this to get the second unit vector u2.
- Finally, for the third vector (2,5,7), subtract the projections along u1 and u2 from it, and normalize the result to get the third unit vector u3.
This set {u1, u2, u3} will be an orthonormal set because all vectors are mutually orthogonal and of unit length, which means their scalar products will vanish, indicating angles of 90° between them, just as the Cartesian coordinate system dictates.