UCSC MATH 21: Fall 2007 Review - Orthogonal Complements, Bases, Projections, Study notes of Linear Algebra

This document from the university of california, santa cruz (ucsc) contains review questions for math 21 students in the fall 2007 semester. The questions cover topics related to finding orthogonal complements, orthonormal bases, and projection matrices in a four-dimensional vector space. Students are also asked to determine the rank of a matrix and verify several properties of orthogonal and symmetric matrices.

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Pre 2010

Uploaded on 08/19/2009

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UCSC MATH 21 FALL 2007
Review Questions 5
1. Find (a basis for) the orthogonal complement of the subspace VR4that is spanned by the
vectors
1
2
0
3
and
2
1
1
4
.
2. Find an orthonormal basis for the subspace Vin problem 1.
3. Find the matrix of the projection onto the subspace Vin problem 1.
4. What is the rank of the matrix from problem 3? Explain how to answer this question without
actually looking at the matrix itself.
5. True (with a brief explanation) or False (with a simple counterexample):
a. If Uis an n×northogonal matrix, and {x1,...,xn}is an orthonormal basis of Rn, then
{Ux1, . . . , U xn}is also an orthonormal basis of Rn.
b. If Uis an n×northogonal matrix, and {v1,...,vm}is an orthonormal basis of the subspace
VRn, then {Uv1, . . . , U vm}is also an orthonormal basis of V.
c. If Aand Bare symmetric n×nmatrices, then AB is symmetric.
d. If Ais an n×mmatrix, then AATis a symmetric matrix.
e. If Bis an n×mmatrix whose columns form an orthonormal set, then BBTis an orthogonal
matrix.
f. If Ais an n×mmatrix and ker(A) = {0}, then ATAis invertible.
6. Find the least-squares (approximate) solution of the equation
210
131
024
311
·
x
y
z
=
1
1
1
1
.
7. Find the coefficients aand bof the line y=ax +bthat minimize the sum of squares
4
X
j=1
(axj+b)yj2
,
for the points (x1, y1) = (1,1), (x2, y2) = (2,3), (x3, y3) = (3,4) and (x4, y4) = (4,2).
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UCSC MATH 21 FALL 2007

Review Questions 5

  1. Find (a basis for) the orthogonal complement of the subspace V ⊂ R^4 that is spanned by the vectors (^) 

 

 and

  1. Find an orthonormal basis for the subspace V in problem 1.
  2. Find the matrix of the projection onto the subspace V in problem 1.
  3. What is the rank of the matrix from problem 3? Explain how to answer this question without actually looking at the matrix itself.
  4. True (with a brief explanation) or False (with a simple counterexample): a. If U is an n × n orthogonal matrix, and {x 1 ,... , xn} is an orthonormal basis of Rn, then {U x 1 ,... , U xn} is also an orthonormal basis of Rn. b. If U is an n × n orthogonal matrix, and {v 1 ,... , vm} is an orthonormal basis of the subspace V ⊂ Rn, then {U v 1 ,... , U vm} is also an orthonormal basis of V. c. If A and B are symmetric n × n matrices, then AB is symmetric. d. If A is an n × m matrix, then AAT^ is a symmetric matrix. e. If B is an n × m matrix whose columns form an orthonormal set, then BBT^ is an orthogonal matrix. f. If A is an n × m matrix and ker(A) = { 0 }, then AT^ A is invertible.
  5. Find the least-squares (approximate) solution of the equation    

x y z

  1. Find the coefficients a and b of the line y = ax + b that minimize the sum of squares

∑^4

j=

(axj + b) − yj

for the points (x 1 , y 1 ) = (1, 1), (x 2 , y 2 ) = (2, 3), (x 3 , y 3 ) = (3, 4) and (x 4 , y 4 ) = (4, 2).

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