Calculus: Early Transcendentals
8th Edition
ISBN:9781285741550
Author:James Stewart
Publisher:James Stewart
Chapter1: Functions And Models
Section: Chapter Questions
Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
Related questions
Question
First, apply the formulas in (9) to find A^-1. Then use A^-1 to solve the system Ax=b.
![**THEOREM 2: Inverses of 2 x 2 Matrices**
The 2 x 2 matrix
\[ A = \begin{bmatrix} a & b \\ c & d \end{bmatrix} \]
is invertible if and only if \( ad - bc \neq 0 \), in which case
\[ A^{-1} = \frac{1}{ad - bc} \begin{bmatrix} d & -b \\ -c & a \end{bmatrix}. \]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb7f470a0-93f2-43bf-9ed3-2f125d19f075%2F0bd1f7df-63ec-493c-a4cc-a21a975740b8%2F553lqf_processed.png&w=3840&q=75)
Transcribed Image Text:**THEOREM 2: Inverses of 2 x 2 Matrices**
The 2 x 2 matrix
\[ A = \begin{bmatrix} a & b \\ c & d \end{bmatrix} \]
is invertible if and only if \( ad - bc \neq 0 \), in which case
\[ A^{-1} = \frac{1}{ad - bc} \begin{bmatrix} d & -b \\ -c & a \end{bmatrix}. \]
![In this image, we have two matrices represented.
Matrix **A** is a 2x2 matrix:
\[ A = \begin{bmatrix} 5 & 12 \\ 7 & 17 \end{bmatrix} \]
Matrix **b** is a 2x1 matrix (also known as a column vector):
\[ b = \begin{bmatrix} 5 \\ 5 \end{bmatrix} \]
This type of representation is typically used in linear algebra to solve systems of equations or perform matrix operations such as multiplication, addition, or finding inverses.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb7f470a0-93f2-43bf-9ed3-2f125d19f075%2F0bd1f7df-63ec-493c-a4cc-a21a975740b8%2F8w567g_processed.png&w=3840&q=75)
Transcribed Image Text:In this image, we have two matrices represented.
Matrix **A** is a 2x2 matrix:
\[ A = \begin{bmatrix} 5 & 12 \\ 7 & 17 \end{bmatrix} \]
Matrix **b** is a 2x1 matrix (also known as a column vector):
\[ b = \begin{bmatrix} 5 \\ 5 \end{bmatrix} \]
This type of representation is typically used in linear algebra to solve systems of equations or perform matrix operations such as multiplication, addition, or finding inverses.
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