Consider the plane, X, in Rº given by the vector equation: x(s, t) = (1, –1,2) + s(1, 0, 1) +t(1, –1,0); 8, t E R. a) Compute a unit normal vector, n, to this plane. b) Define a linear transformation P: R → R° by projection onto n: P(x) := proj„(x), xe R°. Compute the standard matrix, A, of P. c) Let B= I3 – A. If Q = Tg is the matrix transformation defined by Q(x) = Bx, show that Q is the projection onto the plane, X. That is, show that Q(x) = x if x is parallel to X and that Q(x) = 0 if x is orthogonal (normal) to X.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter1: Vectors
Section1.3: Lines And Planes
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Consider the plane, X, in R given by the vector equation:
x(s, t) = (1, –1,2) + s(1,0, 1) + t(1, –1,0);
8,t e R.
a) Compute a unit normal vector, n, to this plane.
b) Define a linear transformation P : R° → R° by projection onto n:
Р/x) :3D proj. (x), хER.
xE R³.
Compute the standard matrix, A, of P.
c) Let B = I3 – A. If Q = Tg is the matrix transformation defined by
Q(х) — Вх,
show that Q is the projection onto the plane, X. That is, show that Q(x) = x if x is parallel to X and that
Q(x) = 0 if x is orthogonal (normal) to X.
d) If A E RX3 is the standard matrix of P, show that A? = A. why is this true?
Transcribed Image Text:Consider the plane, X, in R given by the vector equation: x(s, t) = (1, –1,2) + s(1,0, 1) + t(1, –1,0); 8,t e R. a) Compute a unit normal vector, n, to this plane. b) Define a linear transformation P : R° → R° by projection onto n: Р/x) :3D proj. (x), хER. xE R³. Compute the standard matrix, A, of P. c) Let B = I3 – A. If Q = Tg is the matrix transformation defined by Q(х) — Вх, show that Q is the projection onto the plane, X. That is, show that Q(x) = x if x is parallel to X and that Q(x) = 0 if x is orthogonal (normal) to X. d) If A E RX3 is the standard matrix of P, show that A? = A. why is this true?
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