Exercises
Inner product, orthogonality and the spectral theorem
Problems to solve on your own. The final solution appears with the button below each problem; each exercise also has its own page, to share with the link.
1. Angle between two vectors in dimension four
Compute the angle between the vectors and of .
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2. Parameter for the orthogonality of two vectors
Determine the values of for which the vectors and are orthogonal.
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3. Orthogonal projection onto a vector
Compute the orthogonal projection of onto and the component of orthogonal to .
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4. Coordinates with respect to an orthonormal basis
Verify that the vectors
form an orthonormal basis of and compute the coordinates of with respect to this basis.
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5. Gram-Schmidt on two vectors in space
Apply the Gram-Schmidt process to the vectors and and find an orthonormal basis of .
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6. Gram-Schmidt on three vectors in dimension four
Apply the Gram-Schmidt process to the vectors , , of , in the given order, and find an orthonormal basis of the subspace they span.
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7. Orthonormal basis of a plane given in Cartesian form
Let . Find an orthonormal basis of whose first vector is parallel to , with the same orientation.
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8. Orthogonal complement of a spanned subspace
Determine the dimension and a basis of the orthogonal complement of
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9. Orthogonal complement of a subspace in Cartesian form
Let
Determine and a basis of .
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10. Projection onto a plane and distance
Let . Compute the orthogonal projection of onto and the distance of from .
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11. Completion of an orthogonal matrix
Determine so that the matrix
is orthogonal with .
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12. Orthogonal diagonalization of a matrix of order 2
Find an orthogonal matrix and a diagonal matrix such that , where
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13. Orthogonal diagonalization with a double eigenvalue
Find an orthogonal matrix and a diagonal matrix such that , where
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