Partial Differential Equations: Analytical and Numerical Methods

Section 3.4

1.

  1. Show that the basis { v 1, v 2, v 3} from Example 3.33 is an orthonormal basis for R 3.

  2. Express the vector

    as a linear combination of v 1, v 2, v 3.

2.

Is the basis { L 1, L 2, L 3} for (on the interval [0, 1]) given in Example 3.28 an orthogonal basis?

3.

Let V be an inner product space. Prove that x, y ? V satisfy

if and only if ( x, y) = 0.

4.

Use the results of this section to show that any orthonormal set containing n vectors in R n is a basis for R n. (Hint: Since the dimension of R n is n, it suffices to show either that the orthogonal set spans R n or that it is linearly independent. Linear independence is probably easier.)

5.

Let W be a subspace of an inner product space V and let { w 1, w 2, , w n} be a basis for W. Show that, for y ? V,

holds if and only if

holds.

6.

Let { w 1, w 2, , w n} be a linearly independent set in an inner product space V, and define G ? R n n by

Prove that G is...

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