Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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Find an LU factorization of matrix A. L= U=
### Matrix Representation

In this section, we discuss the matrix \( A \) as presented in the image. A matrix is a rectangular array of numbers arranged in rows and columns.

Given Matrix \( A \):

\[ 
A = \begin{bmatrix}
2 & -4 & 4 & -2 \\
6 & -9 & 7 & -3 \\
-1 & -10 & 18 & -7 \\
\end{bmatrix}
\]

#### Structure

- The matrix \( A \) is a \( 3 \times 4 \) matrix, meaning it has 3 rows and 4 columns.
  
#### Elements of Matrix \( A \)

1. **First Row:**
   - Element at (1,1): \( 2 \)
   - Element at (1,2): \( -4 \)
   - Element at (1,3): \( 4 \)
   - Element at (1,4): \( -2 \)

2. **Second Row:**
   - Element at (2,1): \( 6 \)
   - Element at (2,2): \( -9 \)
   - Element at (2,3): \( 7 \)
   - Element at (2,4): \( -3 \)

3. **Third Row:**
   - Element at (3,1): \( -1 \)
   - Element at (3,2): \( -10 \)
   - Element at (3,3): \( 18 \)
   - Element at (3,4): \( -7 \)

Matrices are fundamental in various fields, including mathematics, computer science, physics, and engineering, due to their applicability in solving systems of linear equations, transformations, and more. Understanding matrices helps in performing operations such as addition, subtraction, multiplication, and determining inverses.
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Transcribed Image Text:### Matrix Representation In this section, we discuss the matrix \( A \) as presented in the image. A matrix is a rectangular array of numbers arranged in rows and columns. Given Matrix \( A \): \[ A = \begin{bmatrix} 2 & -4 & 4 & -2 \\ 6 & -9 & 7 & -3 \\ -1 & -10 & 18 & -7 \\ \end{bmatrix} \] #### Structure - The matrix \( A \) is a \( 3 \times 4 \) matrix, meaning it has 3 rows and 4 columns. #### Elements of Matrix \( A \) 1. **First Row:** - Element at (1,1): \( 2 \) - Element at (1,2): \( -4 \) - Element at (1,3): \( 4 \) - Element at (1,4): \( -2 \) 2. **Second Row:** - Element at (2,1): \( 6 \) - Element at (2,2): \( -9 \) - Element at (2,3): \( 7 \) - Element at (2,4): \( -3 \) 3. **Third Row:** - Element at (3,1): \( -1 \) - Element at (3,2): \( -10 \) - Element at (3,3): \( 18 \) - Element at (3,4): \( -7 \) Matrices are fundamental in various fields, including mathematics, computer science, physics, and engineering, due to their applicability in solving systems of linear equations, transformations, and more. Understanding matrices helps in performing operations such as addition, subtraction, multiplication, and determining inverses.
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