QR Factorisation
Find QR factorisation of the following matrix:
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A=\left(\...
Jul 11, 2024
Solution by Steps
step 1
To find the QR factorization of matrix A, we start by writing the matrix A as follows:
A=2−36amp;1amp;1amp;−1
step 2
We need to find matrices Q and R such that A=QR. The matrix Q is an orthogonal matrix, and R is an upper triangular matrix
step 3
First, we find the orthonormal basis vectors for the columns of A. We start with the first column vector a1=2−36. The norm of a1 is:
∥a1∥=22+(−3)2+62=4+9+36=49=7
So, the first orthonormal vector q1 is:
q1=∥a1∥a1=712−36=72−7376
step 4
Next, we find the second orthonormal vector q2. We start with the second column vector a2=11−1 and make it orthogonal to q1:
a2′=a2−(a2⋅q1)q1a2⋅q1=1⋅72+1⋅−73+(−1)⋅76=72−73−76=−77=−1a2′=11−1−(−1)72−7376=11−1+72−7376=1+721−73−1+76=7974−71
The norm of a2′ is:
∥a2′∥=(79)2+(74)2+(−71)2=4981+4916+491=4998=2
So, the second orthonormal vector q2 is:
q2=∥a2′∥a2′=217974−71=729724−721
step 5
Now, we can write the matrix Q as:
Q=72−7376amp;729amp;724amp;−721
And the matrix R as:
R=(70amp;−1amp;2)
Answer
The QR factorization of the matrix A is given by A=QR, where:
Q=72−7376amp;729amp;724amp;−721R=(70amp;−1amp;2)
Key Concept
QR Factorization
Explanation
QR factorization decomposes a matrix into an orthogonal matrix Q and an upper triangular matrix R. This is useful in solving linear systems and eigenvalue problems.
[<<2/7,-3/7,6/7>|<9/(7*sqrt(2),4/(7*sqrt(2)),-1/(7*sqrt(2)>>,<<7,0>,<-1,sqrt(2)>>] is this a correct maple form?
Solution by Steps
step 1
To determine if the given matrix form is correct, we need to analyze the structure and elements of the matrix
step 2
The given matrix is:
[(72729amp;−73amp;724amp;76amp;−721),(7−1amp;0amp;2)]
We need to check if this form is consistent with the Maple software's matrix representation
step 3
In Maple, matrices are typically represented using the `Matrix` function. The correct form should be:
Matrix([72729amp;−73amp;724amp;76amp;−721]),Matrix([7−1amp;0amp;2])
step 4
Therefore, the given matrix form is not entirely correct for Maple. The correct Maple form should use the `Matrix` function to define each matrix separately
Answer
The given matrix form is not correct for Maple. The correct form should use the "Matrix" function to define each matrix separately.
Key Concept
Matrix representation in Maple
Explanation
In Maple, matrices are represented using the "Matrix" function, and each matrix should be defined separately within this function.
multipy Q and R
Generated Graph
Solution by Steps
step 1
To multiply Q and R, we start by writing the given matrices Q and R as follows:
step 2
Given matrices:
step 3
Q=(72729amp;−73amp;724amp;76amp;−721)
step 4
R=(7−1amp;0amp;2)
step 5
To multiply Q and R, we perform matrix multiplication:
Matrix multiplication involves taking the dot product of rows and columns from the two matrices.
Solution by Steps
step 1
Given matrix A=(512amp;−4amp;6), we need to find its QR factorization
step 2
First, we find the orthonormal basis vectors for the columns of A. Let a1=(512) and a2=(−46)
step 3
Normalize a1 to get q1:
q1=∥a1∥a1=131(512)=(1351312)
step 4
Project a2 onto q1 and subtract to get the orthogonal component:
projq1(a2)=((1351312)⋅(−46))(1351312)=1320(1351312)=(169100169240)
step 5
Subtract the projection from a2 to get u2:
u2=a2−projq1(a2)=(−46)−(169100169240)=(−169776169774)
step 6
Normalize u2 to get q2:
q2=∥u2∥u2=(−169776)2+(169774)21(−169776169774)=(−1312135)
step 7
Form the orthogonal matrix Q:
Q=(1351312amp;−1312amp;135)
step 8
Compute the upper triangular matrix R using R=QTA:
R=(135−1312amp;1312amp;135)(512amp;−4amp;6)=(130amp;4amp;6)
Answer
The QR factorization of the matrix A is:
Q=(1351312amp;−1312amp;135),R=(130amp;4amp;6)
Key Concept
QR Factorization
Explanation
QR factorization decomposes a matrix into an orthogonal matrix Q and an upper triangular matrix R. This is useful for solving linear systems and eigenvalue problems.