Define an inner product on
by setting
Find an orthonormal basis for this space
Define an inner product on by setting Find an orthonormal basis for this space We were...
Problem 7: a) Show that the matrix A-I 5 we can use A to define an inner product onR2 by defining..erAir. b) With respect to this inner product, find an orthonormal basis for R2. c) With respect to this inner product, find the point in the span of closest to positive semidefinite
Problem 7: a) Show that the matrix A-I 5 we can use A to define an inner product onR2 by defining..erAir. b) With respect to this inner product,...
Let
be an inner product space (over
or
), and
. Prove that
is an eigenvalue of
if and only if
(the conjugate of
) is an eigenvalue of
(the adjoint of
).
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Let
be an orthonormal set of a Hilbert space. Let
and
be two vectors in H. Show that
converges absolutely, and that
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Let V be a finite dimensional inner product space,
w1,w2V. Let
TL(V)
and Tv=<v,w1>w2 for all vV.
Find all eigenvalues and the corresponding eigenspaces of T. Please
provide full solution.
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(1 point) Let {uj, u2, u2 ) be an orthonormal basis for an inner product space V. Suppose y = qui + buz + cuz is so that|lvl1 = V116. (v, uz) = 10, and (v. uz) = 4. Find the possible values for a, b, and c. a = CE (1 point) Suppose U1, U2, Uz is an orthogonal set of vectors in Rº. Let w be a vector in Span(v1, 02, 03) such that UjUi = 42, 02.02...
1. If the vectors
and
are orthogonal with respect to the weighted inner
product
<
> =
, what must be true about the weights
?
2. Do there exist scalars k and m such that the vectors p1 =
2+kx+6, p2 =
m+5x+3 and
p3 = 1 + 2x + 3 are mutually
orthogonal with respect to the standard inner product on P2?
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Determine if each basis is orthogonal. Further, is the basis orthonormal? (a) In the vector space R3 (i.e. column vectors in 3-space): -1 1 ( 2 5 3 -3 (b) In the vector space that consists of polynomial functions of degree less than or equal to 2: {f(x) = x2 – 3, g(x) = 4, h(x) = x2 +2} (c) In the vector space that consists of 2x2 matrices: (You'd decided what the inner product was on a previous math...
4. Consider the vector space V = R3 and the matrix 2 -1 -1 2 -1 -1 0 2 We can define an inner product on V by (v, w) = v'Mw. where vt indicates the transpose. Please note this is NOT the standard dot product. It is a inner product different (a) (5 points) Apply the Gram-Schmidt process to the basis E = {e1,e2, e3} (the standard basis) to find an orthogonal basis B.
4. Consider the vector space...
1). Let V be an n-dimensional inner product space, let L be a linear transformation L : V + V. a) Define for inner product space V the phrase "L:V - V" is an orthogonal transforma- tion". b) Define "orthogonal matrix" b) If v1, ..., Vn is an orthonormal basis for V define the matrix of L relative to this basis and prove that it is an orthogonal matrix A.
3. Consider the inner product space V = M2x2(C) with the Frobenius inner product, and let T:V → V be the linear operator defined by 0 T(1) = ( ; ;) A. (i) Compute To((.) (ii) Determine whether or not there is an orthonormal basis of eigenvectors B for which [T]is diagonal. If such a basis exists, find one.