SlideShare a Scribd company logo
1 of 21
Determinants
Matrices
• A matrix is an array of
numbers that are
arranged in rows and
columns.
• A matrix is “square” if
it has the same number
of rows as columns.
• We will consider only
2x2 and 3x3 square
matrices
0
-½
3
1
11
180
4
-¾
0
2
¼
8
-3
Determinants
• Every square matrix has
a determinant.
• The determinant of a
matrix is a number.
• We will consider the
determinants only of
2x2 and 3x3 matrices.
1 3
-½ 0
-3 8 ¼
2 0 -¾
4 180 11
Note the difference in the matrix
and the determinant of the
matrix!
Why do we need the determinant
• It is used to help us
calculate the inverse
of a matrix and it is
used when finding
the area of a triangle
4
5
2
3

Notice the different symbol:
the straight lines tell you to
find the determinant!!
(3 * 4) - (-5 * 2)
12 - (-10)
22
=
4
5
2
3

Finding Determinants of Matrices
=
=
2
4
1
5
2
1
3
0
2


2
1
-1
0
-2
4
= [(2)(-2)(2) + (0)(5)(-1) + (3)(1)(4)]
[(3)(-2)(-1) + (2)(5)(4) + (0)(1)(2)]
[-8 + 0 +12]
-
- [6 + 40 + 0]
4 – 6 - 40
Finding Determinants of Matrices
=
= = -42






1
0
0
1
Identity matrix: Square matrix with 1’s on the diagonal
and zeros everywhere else
2 x 2 identity matrix










1
0
0
0
1
0
0
0
1
3 x 3 identity matrix
The identity matrix is to matrix multiplication as
___ is to regular multiplication!!!!
1
Using matrix equations
Multiply:






1
0
0
1





 
4
3
2
5
= 




 
4
3
2
5






1
0
0
1





 
4
3
2
5
= 




 
4
3
2
5
So, the identity matrix multiplied by any matrix
lets the “any” matrix keep its identity!
Mathematically, IA = A and AI = A !!
Inverse Matrix:
Using matrix equations
2 x 2






d
c
b
a
In words:
•Take the original matrix.
•Switch a and d.
•Change the signs of b and c.
•Multiply the new matrix by 1 over the determinant of the original matrix.








 a
c
b
d
bc
ad
1

1
A

A





 



 2
4
4
10
)
4
)(
4
(
)
10
)(
2
(
1





 

 2
4
4
10
4
1
=












2
1
1
1
2
5
Using matrix equations
Example: Find the inverse of A.







 10
4
4
2

A

1
A

1
A
Find the inverse matrix.








2
5
3
8
Det A = 8(2) – (-5)(-3) = 16 – 15 = 1
Matrix A
Inverse =










det
1 Matrix
Reloaded






8
5
3
2
1
1
= = 





8
5
3
2
What happens when you multiply a matrix by its inverse?
1st: What happens when you multiply a number by its inverse?
7
1
7 
A & B are inverses. Multiply them.






8
5
3
2
=








2
5
3
8






1
0
0
1
So, AA-1
= I
Why do we need to know all this? To Solve Problems!
Solve for Matrix X.
=








2
5
3
8
X 







1
3
1
4
We need to “undo” the coefficient matrix. Multiply it by its INVERSE!






8
5
3
2
=








2
5
3
8
X 





8
5
3
2








1
3
1
4






1
0
0
1
X = 







3
4
1
1
X =








3
4
1
1
You can take a system of equations and write it with
matrices!!!
3x + 2y = 11
2x + y = 8
becomes 





1
2
2
3






y
x
= 





8
11
Coefficient
matrix
Variable
matrix
Answer matrix
Using matrix equations
Let A be the coefficient matrix.
Multiply both sides of the equation by the inverse of A.










































8
11
8
11
8
11
1
1
1
A
y
x
A
y
x
A
A
y
x
A 





1
2
2
3 -1
= 







 3
2
2
1
1
1
= 







3
2
2
1








3
2
2
1






1
2
2
3






y
x
= 







3
2
2
1






8
11






1
0
0
1






y
x
= 





 2
5






y
x
= 





 2
5
Using matrix equations






1
2
2
3






y
x
= 





8
11
Example: Solve for x and y .

1
A
Wow!!!!
3x + 2y = 11
2x + y = 8
x = 5; y = -2
3(5) + 2(-2) = 11
2(5) + (-2) = 8
It works!!!!
Using matrix equations
Check:
You Try…
Solve:
4x + 6y = 14
2x – 5y = -9
(1/2, 2)
You Try…
Solve:
2x + 3y + z = -1
3x + 3y + z = 1
2x + 4y + z = -2
(2, -1, -2)
Real Life Example:
You have $10,000 to invest. You want to invest the money
in a stock mutual fund, a bond mutual fund, and a money
market fund. The expected annual returns for these funds
are given in the table.
You want your investment to obtain an overall annual return
of 8%. A financial planner recommends that you invest the
same amount in stocks as in bonds and the money market
combined. How much should you invest in each fund?
To isolate the variable matrix, RIGHT multiply by the inverse of A
1 1
A AX A B
 

1
X A B


Solution: ( 5000, 2500, 2500)

More Related Content

Similar to determinants.ppt

Matrix presentation By DHEERAJ KATARIA
Matrix presentation By DHEERAJ KATARIAMatrix presentation By DHEERAJ KATARIA
Matrix presentation By DHEERAJ KATARIADheeraj Kataria
 
Foundation c2 exam may 2013 sols
Foundation c2 exam may 2013 solsFoundation c2 exam may 2013 sols
Foundation c2 exam may 2013 solsfatima d
 
1.4 Quadratic Equations
1.4 Quadratic Equations1.4 Quadratic Equations
1.4 Quadratic Equationssmiller5
 
Matrices & Determinants
Matrices & DeterminantsMatrices & Determinants
Matrices & DeterminantsIshant Jain
 
Quadratic equations and function
Quadratic equations and functionQuadratic equations and function
Quadratic equations and functionMelchor Cachuela
 
Solucao_Marion_Thornton_Dinamica_Classic (1).pdf
Solucao_Marion_Thornton_Dinamica_Classic (1).pdfSolucao_Marion_Thornton_Dinamica_Classic (1).pdf
Solucao_Marion_Thornton_Dinamica_Classic (1).pdfFranciscoJavierCaedo
 
Expresiones algebraicas de suma, resta y valor
Expresiones algebraicas de suma, resta y valorExpresiones algebraicas de suma, resta y valor
Expresiones algebraicas de suma, resta y valorTrapSounds
 
Mathematics 9 Radical Expressions (1)
Mathematics 9 Radical Expressions (1)Mathematics 9 Radical Expressions (1)
Mathematics 9 Radical Expressions (1)Juan Miguel Palero
 
Gate mathematics chapter wise all gate questions of all branch
Gate mathematics chapter wise all gate questions of all branchGate mathematics chapter wise all gate questions of all branch
Gate mathematics chapter wise all gate questions of all branchdataniyaarunkumar
 
1.4 Quadratic Equations
1.4 Quadratic Equations1.4 Quadratic Equations
1.4 Quadratic Equationssmiller5
 
4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices豪 鱟灊
 

Similar to determinants.ppt (20)

Matrix presentation By DHEERAJ KATARIA
Matrix presentation By DHEERAJ KATARIAMatrix presentation By DHEERAJ KATARIA
Matrix presentation By DHEERAJ KATARIA
 
Foundation c2 exam may 2013 sols
Foundation c2 exam may 2013 solsFoundation c2 exam may 2013 sols
Foundation c2 exam may 2013 sols
 
Matrices
MatricesMatrices
Matrices
 
Mathematics 1
Mathematics 1Mathematics 1
Mathematics 1
 
1.4 Quadratic Equations
1.4 Quadratic Equations1.4 Quadratic Equations
1.4 Quadratic Equations
 
Annie
AnnieAnnie
Annie
 
Matrices & Determinants
Matrices & DeterminantsMatrices & Determinants
Matrices & Determinants
 
Mathematics 1
Mathematics 1Mathematics 1
Mathematics 1
 
Quadratic equations and function
Quadratic equations and functionQuadratic equations and function
Quadratic equations and function
 
Solucao_Marion_Thornton_Dinamica_Classic (1).pdf
Solucao_Marion_Thornton_Dinamica_Classic (1).pdfSolucao_Marion_Thornton_Dinamica_Classic (1).pdf
Solucao_Marion_Thornton_Dinamica_Classic (1).pdf
 
4.5
4.54.5
4.5
 
Short notes on mathematics
Short notes on mathematicsShort notes on mathematics
Short notes on mathematics
 
Expresiones algebraicas de suma, resta y valor
Expresiones algebraicas de suma, resta y valorExpresiones algebraicas de suma, resta y valor
Expresiones algebraicas de suma, resta y valor
 
Matrix
MatrixMatrix
Matrix
 
Mathematics 9 Radical Expressions (1)
Mathematics 9 Radical Expressions (1)Mathematics 9 Radical Expressions (1)
Mathematics 9 Radical Expressions (1)
 
Gate mathematics chapter wise all gate questions of all branch
Gate mathematics chapter wise all gate questions of all branchGate mathematics chapter wise all gate questions of all branch
Gate mathematics chapter wise all gate questions of all branch
 
Matrices
MatricesMatrices
Matrices
 
1.4 Quadratic Equations
1.4 Quadratic Equations1.4 Quadratic Equations
1.4 Quadratic Equations
 
4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices
 
Mathematics
MathematicsMathematics
Mathematics
 

More from TGBSmile

Electromagnetic spectrum
Electromagnetic spectrum Electromagnetic spectrum
Electromagnetic spectrum TGBSmile
 
160800-blue-template-16x9.pptx
160800-blue-template-16x9.pptx160800-blue-template-16x9.pptx
160800-blue-template-16x9.pptxTGBSmile
 
determinants-160504230830_repaired.pdf
determinants-160504230830_repaired.pdfdeterminants-160504230830_repaired.pdf
determinants-160504230830_repaired.pdfTGBSmile
 
PoliticalScience_SrSec_2023-24.pdf
PoliticalScience_SrSec_2023-24.pdfPoliticalScience_SrSec_2023-24.pdf
PoliticalScience_SrSec_2023-24.pdfTGBSmile
 
embryonic-development-1202916376980246-4.pdf
embryonic-development-1202916376980246-4.pdfembryonic-development-1202916376980246-4.pdf
embryonic-development-1202916376980246-4.pdfTGBSmile
 
1001274_lecture three.ppt
1001274_lecture three.ppt1001274_lecture three.ppt
1001274_lecture three.pptTGBSmile
 
Reproduction and Development
Reproduction and DevelopmentReproduction and Development
Reproduction and DevelopmentTGBSmile
 
2 biological classification.ppsx.pptx
2 biological classification.ppsx.pptx2 biological classification.ppsx.pptx
2 biological classification.ppsx.pptxTGBSmile
 

More from TGBSmile (8)

Electromagnetic spectrum
Electromagnetic spectrum Electromagnetic spectrum
Electromagnetic spectrum
 
160800-blue-template-16x9.pptx
160800-blue-template-16x9.pptx160800-blue-template-16x9.pptx
160800-blue-template-16x9.pptx
 
determinants-160504230830_repaired.pdf
determinants-160504230830_repaired.pdfdeterminants-160504230830_repaired.pdf
determinants-160504230830_repaired.pdf
 
PoliticalScience_SrSec_2023-24.pdf
PoliticalScience_SrSec_2023-24.pdfPoliticalScience_SrSec_2023-24.pdf
PoliticalScience_SrSec_2023-24.pdf
 
embryonic-development-1202916376980246-4.pdf
embryonic-development-1202916376980246-4.pdfembryonic-development-1202916376980246-4.pdf
embryonic-development-1202916376980246-4.pdf
 
1001274_lecture three.ppt
1001274_lecture three.ppt1001274_lecture three.ppt
1001274_lecture three.ppt
 
Reproduction and Development
Reproduction and DevelopmentReproduction and Development
Reproduction and Development
 
2 biological classification.ppsx.pptx
2 biological classification.ppsx.pptx2 biological classification.ppsx.pptx
2 biological classification.ppsx.pptx
 

Recently uploaded

SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsKarinaGenton
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 

Recently uploaded (20)

SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its Characteristics
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 

determinants.ppt

  • 2. Matrices • A matrix is an array of numbers that are arranged in rows and columns. • A matrix is “square” if it has the same number of rows as columns. • We will consider only 2x2 and 3x3 square matrices 0 -½ 3 1 11 180 4 -¾ 0 2 ¼ 8 -3
  • 3. Determinants • Every square matrix has a determinant. • The determinant of a matrix is a number. • We will consider the determinants only of 2x2 and 3x3 matrices. 1 3 -½ 0 -3 8 ¼ 2 0 -¾ 4 180 11 Note the difference in the matrix and the determinant of the matrix!
  • 4. Why do we need the determinant • It is used to help us calculate the inverse of a matrix and it is used when finding the area of a triangle
  • 5. 4 5 2 3  Notice the different symbol: the straight lines tell you to find the determinant!! (3 * 4) - (-5 * 2) 12 - (-10) 22 = 4 5 2 3  Finding Determinants of Matrices = =
  • 6. 2 4 1 5 2 1 3 0 2   2 1 -1 0 -2 4 = [(2)(-2)(2) + (0)(5)(-1) + (3)(1)(4)] [(3)(-2)(-1) + (2)(5)(4) + (0)(1)(2)] [-8 + 0 +12] - - [6 + 40 + 0] 4 – 6 - 40 Finding Determinants of Matrices = = = -42
  • 7.       1 0 0 1 Identity matrix: Square matrix with 1’s on the diagonal and zeros everywhere else 2 x 2 identity matrix           1 0 0 0 1 0 0 0 1 3 x 3 identity matrix The identity matrix is to matrix multiplication as ___ is to regular multiplication!!!! 1 Using matrix equations
  • 8. Multiply:       1 0 0 1        4 3 2 5 =        4 3 2 5       1 0 0 1        4 3 2 5 =        4 3 2 5 So, the identity matrix multiplied by any matrix lets the “any” matrix keep its identity! Mathematically, IA = A and AI = A !!
  • 9. Inverse Matrix: Using matrix equations 2 x 2       d c b a In words: •Take the original matrix. •Switch a and d. •Change the signs of b and c. •Multiply the new matrix by 1 over the determinant of the original matrix.          a c b d bc ad 1  1 A  A
  • 10.            2 4 4 10 ) 4 )( 4 ( ) 10 )( 2 ( 1          2 4 4 10 4 1 =             2 1 1 1 2 5 Using matrix equations Example: Find the inverse of A.         10 4 4 2  A  1 A  1 A
  • 11. Find the inverse matrix.         2 5 3 8 Det A = 8(2) – (-5)(-3) = 16 – 15 = 1 Matrix A Inverse =           det 1 Matrix Reloaded       8 5 3 2 1 1 = =       8 5 3 2
  • 12. What happens when you multiply a matrix by its inverse? 1st: What happens when you multiply a number by its inverse? 7 1 7  A & B are inverses. Multiply them.       8 5 3 2 =         2 5 3 8       1 0 0 1 So, AA-1 = I
  • 13. Why do we need to know all this? To Solve Problems! Solve for Matrix X. =         2 5 3 8 X         1 3 1 4 We need to “undo” the coefficient matrix. Multiply it by its INVERSE!       8 5 3 2 =         2 5 3 8 X       8 5 3 2         1 3 1 4       1 0 0 1 X =         3 4 1 1 X =         3 4 1 1
  • 14. You can take a system of equations and write it with matrices!!! 3x + 2y = 11 2x + y = 8 becomes       1 2 2 3       y x =       8 11 Coefficient matrix Variable matrix Answer matrix Using matrix equations
  • 15. Let A be the coefficient matrix. Multiply both sides of the equation by the inverse of A.                                           8 11 8 11 8 11 1 1 1 A y x A y x A A y x A       1 2 2 3 -1 =          3 2 2 1 1 1 =         3 2 2 1         3 2 2 1       1 2 2 3       y x =         3 2 2 1       8 11       1 0 0 1       y x =        2 5       y x =        2 5 Using matrix equations       1 2 2 3       y x =       8 11 Example: Solve for x and y .  1 A
  • 16. Wow!!!! 3x + 2y = 11 2x + y = 8 x = 5; y = -2 3(5) + 2(-2) = 11 2(5) + (-2) = 8 It works!!!! Using matrix equations Check:
  • 17. You Try… Solve: 4x + 6y = 14 2x – 5y = -9 (1/2, 2)
  • 18. You Try… Solve: 2x + 3y + z = -1 3x + 3y + z = 1 2x + 4y + z = -2 (2, -1, -2)
  • 19. Real Life Example: You have $10,000 to invest. You want to invest the money in a stock mutual fund, a bond mutual fund, and a money market fund. The expected annual returns for these funds are given in the table. You want your investment to obtain an overall annual return of 8%. A financial planner recommends that you invest the same amount in stocks as in bonds and the money market combined. How much should you invest in each fund?
  • 20.
  • 21. To isolate the variable matrix, RIGHT multiply by the inverse of A 1 1 A AX A B    1 X A B   Solution: ( 5000, 2500, 2500)