Learn on PengiOpenStax Algebra and TrigonometryChapter 11: Systems of Equations and Inequalities
Lesson 11.7: Solving Systems with Inverses
New Concept We'll explore the inverse of a matrix, $A^{ 1}$. Similar to how $a \cdot a^{ 1} = 1$, a matrix and its inverse multiply to equal the identity matrix, $I$. This powerful tool allows us to solve systems of linear equations.
Section 1
π Solving Systems with Inverses
New Concept
We'll explore the inverse of a matrix, Aβ1. Similar to how aβ aβ1=1, a matrix and its inverse multiply to equal the identity matrix, I. This powerful tool allows us to solve systems of linear equations.
Whatβs next
Now that you have the big picture, you'll master finding inverses and applying them through a series of practice cards and interactive examples.
Section 2
Identity Matrix and Multiplicative Inverse
Property
The identity matrix, Inβ, is a square matrix containing ones down the main diagonal and zeros everywhere else. We identify identity matrices by Inβ where n represents the dimension of the matrix.
I2β=[10β01β]I3β=β100β010β001ββ
If A is an nΓn matrix and B is an nΓn matrix such that AB=BA=Inβ, then B=Aβ1, the multiplicative inverse of a matrixA. A matrix that has a multiplicative inverse has the properties AAβ1=I and Aβ1A=I.
Examples
Given matrix A=[5β1β23β], we can show that AI=IA=A. AI=[5β1β23β][10β01β]=[5(1)+2(0)β1(1)+3(0)β5(0)+2(1)β1(0)+3(1)β]=[5β1β23β].
To show that A=[21β53β] and B=[3β1ββ52β] are inverses, we multiply them: AB=[2(3)+5(β1)1(3)+3(β1)β2(β5)+5(2)1(β5)+3(2)β]=[10β01β]=I2β.
Section 3
Inverse of a 2x2 Matrix
Property
If A is a 2Γ2 matrix, such as
A=[acβbdβ]
the multiplicative inverse of A is given by the formula
Aβ1=adβbc1β[dβcββbaβ]
where adβbcξ =0. If adβbc=0, then A has no inverse.
Examples
Find the inverse of A=[53β32β]. The determinant is 5(2)β3(3)=1. So, Aβ1=11β[2β3ββ35β]=[2β3ββ35β].
Find the inverse of A=[45β23β]. The determinant is 4(3)β2(5)=2. So, Aβ1=21β[3β5ββ24β]=[23ββ25βββ12β].
Section 4
Finding an Inverse by Augmenting
Property
To find the multiplicative inverse, augment the matrix with the identity. When matrix A is transformed into I using row operations, the augmented identity matrix I transforms into Aβ1.
Write the original matrix augmented with the identity matrix on the right: [Aβ£I].
Use elementary row operations so that the identity appears on the left.
The matrix on the right is the inverse: [Iβ£Aβ1]
You can check your answer by showing AAβ1=I.
Examples
To find the inverse of A=[35β12β], we start with [35β12β10β01β]. Row operations lead to [10β01β2β5ββ13β]. Thus, Aβ1=[2β5ββ13β].
Find the inverse for A=β101β110β011ββ. Augmenting and using row operations gives β100β010β001β21β21ββ21βββ21β21β21ββ21ββ21β21βββ. So Aβ1=21ββ11β1ββ111β1β11ββ.
Section 5
Solving Systems with an Inverse Matrix
Property
Given a system of equations, write the coefficient matrix A, the variable matrix X, and the constant matrix B. The system can be expressed as:
AX=B
Multiply both sides by the inverse of A to obtain the solution.
(Aβ1)AX=(Aβ1)B
IX=(Aβ1)B
X=(Aβ1)B
Examples
Solve the system 2x+5y=1 and x+3y=0. Here, A=[21β53β], X=[xyβ], and B=[10β]. The inverse is Aβ1=[3β1ββ52β]. So, X=Aβ1B=[3β1ββ52β][10β]=[3β1β]. The solution is (3,β1).
Solve the system 3x+8y=5 and 4x+11y=7. The matrices are A=[34β811β] and B=[57β]. The inverse is Aβ1=[11β4ββ83β]. The solution is X=Aβ1B=[11β4ββ83β][57β]=[β11β]. The solution is (β1,1).
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Section 1
π Solving Systems with Inverses
New Concept
We'll explore the inverse of a matrix, Aβ1. Similar to how aβ aβ1=1, a matrix and its inverse multiply to equal the identity matrix, I. This powerful tool allows us to solve systems of linear equations.
Whatβs next
Now that you have the big picture, you'll master finding inverses and applying them through a series of practice cards and interactive examples.
Section 2
Identity Matrix and Multiplicative Inverse
Property
The identity matrix, Inβ, is a square matrix containing ones down the main diagonal and zeros everywhere else. We identify identity matrices by Inβ where n represents the dimension of the matrix.
I2β=[10β01β]I3β=β100β010β001ββ
If A is an nΓn matrix and B is an nΓn matrix such that AB=BA=Inβ, then B=Aβ1, the multiplicative inverse of a matrixA. A matrix that has a multiplicative inverse has the properties AAβ1=I and Aβ1A=I.
Examples
Given matrix A=[5β1β23β], we can show that AI=IA=A. AI=[5β1β23β][10β01β]=[5(1)+2(0)β1(1)+3(0)β5(0)+2(1)β1(0)+3(1)β]=[5β1β23β].
To show that A=[21β53β] and B=[3β1ββ52β] are inverses, we multiply them: AB=[2(3)+5(β1)1(3)+3(β1)β2(β5)+5(2)1(β5)+3(2)β]=[10β01β]=I2β.
Section 3
Inverse of a 2x2 Matrix
Property
If A is a 2Γ2 matrix, such as
A=[acβbdβ]
the multiplicative inverse of A is given by the formula
Aβ1=adβbc1β[dβcββbaβ]
where adβbcξ =0. If adβbc=0, then A has no inverse.
Examples
Find the inverse of A=[53β32β]. The determinant is 5(2)β3(3)=1. So, Aβ1=11β[2β3ββ35β]=[2β3ββ35β].
Find the inverse of A=[45β23β]. The determinant is 4(3)β2(5)=2. So, Aβ1=21β[3β5ββ24β]=[23ββ25βββ12β].
Section 4
Finding an Inverse by Augmenting
Property
To find the multiplicative inverse, augment the matrix with the identity. When matrix A is transformed into I using row operations, the augmented identity matrix I transforms into Aβ1.
Write the original matrix augmented with the identity matrix on the right: [Aβ£I].
Use elementary row operations so that the identity appears on the left.
The matrix on the right is the inverse: [Iβ£Aβ1]
You can check your answer by showing AAβ1=I.
Examples
To find the inverse of A=[35β12β], we start with [35β12β10β01β]. Row operations lead to [10β01β2β5ββ13β]. Thus, Aβ1=[2β5ββ13β].
Find the inverse for A=β101β110β011ββ. Augmenting and using row operations gives β100β010β001β21β21ββ21βββ21β21β21ββ21ββ21β21βββ. So Aβ1=21ββ11β1ββ111β1β11ββ.
Section 5
Solving Systems with an Inverse Matrix
Property
Given a system of equations, write the coefficient matrix A, the variable matrix X, and the constant matrix B. The system can be expressed as:
AX=B
Multiply both sides by the inverse of A to obtain the solution.
(Aβ1)AX=(Aβ1)B
IX=(Aβ1)B
X=(Aβ1)B
Examples
Solve the system 2x+5y=1 and x+3y=0. Here, A=[21β53β], X=[xyβ], and B=[10β]. The inverse is Aβ1=[3β1ββ52β]. So, X=Aβ1B=[3β1ββ52β][10β]=[3β1β]. The solution is (3,β1).
Solve the system 3x+8y=5 and 4x+11y=7. The matrices are A=[34β811β] and B=[57β]. The inverse is Aβ1=[11β4ββ83β]. The solution is X=Aβ1B=[11β4ββ83β][57β]=[β11β]. The solution is (β1,1).
Book overview
Jump across lessons in the current chapter without opening the full course modal.