The Gram-Schmidt orthogonalization procedure
Turning spanning sets in R^3 and R^4 into orthogonal bases by subtracting projections one vector at a time, under the dot product and matrix-defined inner products.
Matrix Theory and Linear Algebra, The Gram-Schmidt orthogonalization procedure
7 exercises
Exercise 11.3.1
In with the usual dot product, find an orthogonal basis for
Exercise 11.3.2
In with the usual dot product, find an orthogonal basis for
Exercise 11.3.3
In with the usual dot product, find an orthogonal basis for
Exercise 11.3.4
Let
and consider the vector space with the inner product given by . Let
Apply the Gram-Schmidt procedure to to find an orthogonal basis for with respect to the above inner product.
Exercise 11.3.5
Let
and consider the vector space with the inner product given by . Let
and let . Apply the Gram-Schmidt procedure to to find an orthogonal basis for with respect to the above inner product.
Exercise 11.3.6
Consider the inner product space , with the inner product given by
Use the Gram-Schmidt procedure to find an orthogonal basis for .
Exercise 11.3.7
Find an orthonormal basis for the subspace of from Exercise 13.
Adapted from Matrix Theory and Linear Algebra © 2017–2026 Peter Selinger, Lyryx Learning, and Ken Kuttler. Licensed under CC BY 4.0. Source: Matrix Theory and Linear Algebra. Imported at revision d74bc3a.