is basis for the subspace W. Step1: Start the Gram-Schmidt process from the first vector to get an orthogonal and then an orthonormal basis for W. ----- Answer: W₁ = 1 , W2 = is an orthonormal basis of W where a= b= 7₁d=[ are all integers. Step 2: Find the orthogonal projection of the vector u = on W using the Orthogonal Decomposition Theorem. -9 Answer: The orthogonal projection is i where e f= .h= Step 3: Find the distance of the vector u from W. Answer: The distance is where A= Note: A is an integer. d g= -3/2] 1 3 2 are all positive integers (and, as usual, the entries of the vector has no common divisor!)

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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is basis for the subspace W.
Step1: Start the Gram-Schmidt process from the first vector to get an orthogonal and then an orthonormal basis for W.
Answer: W1 =
73
, W2 =
is an orthonormal basis of W
vª d
where a=
b=
], d=[
are all integers.
Step 2: Find the orthogonal projection of the vector u =
on W using the Orthogonal Decomposition Theorem.
Answer: The orthogonal projection is
h
where e=
Step 3: Find the distance of the vector u from W.
Answer: The distance is
VA
2
where A-
1
g=
-3/2
1
3
2
Note: A is an integer.
are all positive integers (and, as usual, the entries of the vector has no common divisor!)
Transcribed Image Text:is basis for the subspace W. Step1: Start the Gram-Schmidt process from the first vector to get an orthogonal and then an orthonormal basis for W. Answer: W1 = 73 , W2 = is an orthonormal basis of W vª d where a= b= ], d=[ are all integers. Step 2: Find the orthogonal projection of the vector u = on W using the Orthogonal Decomposition Theorem. Answer: The orthogonal projection is h where e= Step 3: Find the distance of the vector u from W. Answer: The distance is VA 2 where A- 1 g= -3/2 1 3 2 Note: A is an integer. are all positive integers (and, as usual, the entries of the vector has no common divisor!)
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