SlideShare a Scribd company logo
1 of 19
^ Rosalina Apriana – XI Science 1^
Matrix
(fun mathematics)
What is matrix, guys?
 A matrix is a collection of numbers arranged in rows and columns as welldenoted by uppercase. The
properties of the matrix are not the same as the table, it has rules-specific standard rules. The matrix
itself is really just the operator who becomes the machinedriving other sciences, for example
geometric transformation.
 The idea of the matrix was first introduced by Athur Cayley (1821-1895) in 1859 in England in a study of
systems of linear equations and linear transformations. However, at first, the matrix was only a game
because it could not be applied. It wasn't until 1925, 30 years after Cayley died, that matrices were
used in quantum mechanics. Furthermore, the matrix has developed rapidly and is used in various
fields.
 Matrix are usually used in table data. example: making a journal, making report cards. well, matrix
theory is usually used to add columns in the table or subtract, multiply, and divide the values in these
columns.
03
Notation, order,
element,
transpose
Basic
matrix
operations
Matrix
similarity
Determinant
of the matrix
matrix constituent components
01
02 04
05
06
Invers of
matrix
Matrix
equation
Notation,
order, element,
transpose
01
1. Notation, order and element
A matrix has many sizes. This measure is called an order. Order
innotate with Amxn where A denotes the matrix symbol, m the
number of rowsand n the number of columns.
Example : Matrix B = (2 3 0)
(-1 2 7)
The notation of the matrix above is B, while the order is B2x3,
because of the many rows2 and many columns there are 3.
2. Transpose matrix
Transpose matrix is a matrix obtained by changing the position of the
elementrows become columns and column elements become rows.
Transpose matrix Adenoted by AT. Example:
A = (1 2 4) (1 3 6)
(3 5 2) maka A^T = (2 5 7)
(6 7 3) (4 2 3)
Notation, order, element and transpose
Basic matrix
operations
02
Basic matrix operations
Multiplication
matrix
Addition and
subtraction matrices
Explanation matrix operations
 Multiplication scalar by matrix
Multiply the numbers distributively across the elements
Example :
C= (4 6) 3C? 3C = 3(4 6)
(7 -2) (7 -2)
 Multiplication matrix by matrix
Multiply the row elements in the left matrix by the column
elements in the right matrix, base with base, end with tip, then
sum. It must be like that, don’t do it randomly.
Example :
A = (3 5) dan B = (-4 2) find AxB?
(-2 1) (3 6)
Answer :
AxB = (3 5) ( -4 I 2) = (12+5 6+30)
-------- I (8+3 -4+6 )
(-2 1) (3 I 6)
=(3 36)
(11 2)
Addition and Substraction matrices Multiplication matrix
Add and subtract according to location
Example :
A = (4 5) dan B = (1 2)
(-2 3) (0 -9)
Find :
a. A+B
b. B-A
Answer :
a. A+B = (4 5) +(1 2) = (5 7)
(-2 3) (0 -9) (-2 -6)
b. B-A = (1 2) - (4 5) = (-3 -3)
(0 -9) (-2 3) (-2 -6)
Matrix
similarity
03
• Two matrix we can similar if all the elements have the
same value and have a symbol ‘=‘
• Example :
1. ( 3 2𝑥) (3 6)
(−2 4 ) = (-2 4), tentukan nilai x
Answer :
1. ( 3 2𝑥) ( 3 6)
2. (−2 4 ) = ( −2 4 ) Kedua ruas adalah matriks yang
sama, karena ada tanda “=”. Sehingga tinggal
disamakan saja bagian yang ingin di cari, yaitu 2𝑥 = 6
sehingga 𝑥 = 3
Matrix similarity
Determinant of
matrix
04
Determinant of matrix
● Determinan of matrix is a value that gotten by some operations of matrix.
● Determinant itself will be used to find invers.
1. Determinant of matrix by order 2x2
Determinant matrix order 2x2 if matriks 𝐴 = ( 𝑎 𝑏, 𝑐 𝑑 ) maka determinannya det 𝐴 = |𝐴| = 𝑎𝑑 − 𝑏
Example : 𝐵 = ( 2 5) maka det𝐵 = 2.6 − 4.5 = 12 − 20 = −8
( 4 6 )
2. Determinant of matrix by order 3x3
If matriks 𝐴 = ( 3 2 5 ) maka determinannya adalah :
( -4 1 2 )
( 3 3 4 )
Answer :
Sehingga det 𝐶 = 3.1.4 + 2.2.3 + 5(−4). 3 − 2(−4). 4 − 3.2.3 − 5.1.3
= 12 + 12 − 60 + 32 − 18 − 15
= −37
Invers of
matrix
05
Invers of matrix
* Invers of matrix A = (a b) is A^-1 = 1/det A. Adj A
(c d)
* Adj A = Adjoin A = (d -b)
(-c a)
*example :
find invers matrix D = (4 9)
(4 8)
Answer :
from question, det D = 32 – 36 = -4 and the adjoin = Adj D = ( 8 −9 )
(−4 4 )
So 𝐷^−1 = 1 det 𝐷 . 𝐴𝑑𝑗 𝐷 = 1 −4 ( 8 −9 −4 4 ) = ( −2 9/4)
(1 −1 )
Matrix
Equation
06
Matrix equation
• In matrix, multiplication between AxB and BxA is not same, and the value also
different, so that in matrix there are 2 formula, it is :
1. If Ax =B, so the formula is X =A^-1 . B
2. If XA = B, so the formula is X = BA^-1
• How to evidance this formula?
Remember the inverse property, if A.A-1 = I as well as A-1.A = I. Where I = identity matrix which has the
same properties as number 1. So, if we are want to solve AX = B where X is the matrix that we want to
find, then we have to eliminates A in the left side. Why can't A just be transferred to it? That because
there is no term of division between the matrix and the matrix. So that technique right to get X is to
eliminate A on the left, of course, by the rule correct, that is, by multiplying both sides by A-1 from the
left. Complete as following:
AX = B A-1.
AX = A-1.B (both sides times A-1 from the left, because A is to the left of X), the result:
I.X = A-1.B (because the nature of the identity matrix is ​​equal to 1, then I.X = X), so:
X = A-1.B
• Likewise for the formula for finding X at XA = B, we will see the target we want to eliminate namely A,
where is it. Right? Then we have to multiply both equations by A-1 from the right too. Produce:
XA = B XA .
A-1 = B.A-1 (both sides times A-1 from the right, because A is to the right of X), the result:
X.I = BA-1 (because the nature of the identity matrix is ​​equal to 1, then I.X = X), so:
X = B.A-1
* example :
(3 2) . X = (8 -1)
(6 -1) (x -22)
We rearrange the pattern, AX = B (A is on the left, then both sides are multiplied by A-1 from the left
Resulting in X = A-1 .B
X = A-1 .B
X = (1/det A. Adj A). B
X = 1/-15 (-1 -2) (8 -1)
(-6 3) (11 -22)
X = (2 -2)
(-1 4)
“If you wanna feel something extraordinary
You need to be someone incredibly.”
—rosalina apriana
Thanks ^^

More Related Content

What's hot

Bba i-bm-u-2- matrix -
Bba i-bm-u-2- matrix -Bba i-bm-u-2- matrix -
Bba i-bm-u-2- matrix -Rai University
 
Ppt presentasi matrix algebra
Ppt presentasi matrix algebraPpt presentasi matrix algebra
Ppt presentasi matrix algebraRahmatulFitri1
 
Matrices - Mathematics
Matrices - MathematicsMatrices - Mathematics
Matrices - MathematicsDrishti Bhalla
 
Matrix basic operations
Matrix basic operationsMatrix basic operations
Matrix basic operationsJessica Garcia
 
Matrix presentation By DHEERAJ KATARIA
Matrix presentation By DHEERAJ KATARIAMatrix presentation By DHEERAJ KATARIA
Matrix presentation By DHEERAJ KATARIADheeraj Kataria
 
matrices and determinantes
matrices and determinantes matrices and determinantes
matrices and determinantes gandhinagar
 
Matrices
MatricesMatrices
MatricesNORAIMA
 
Matrix and Determinants
Matrix and DeterminantsMatrix and Determinants
Matrix and DeterminantsAarjavPinara
 
Matrices and determinants
Matrices and determinantsMatrices and determinants
Matrices and determinantsoscar
 
Matrices and determinants
Matrices and determinantsMatrices and determinants
Matrices and determinantssom allul
 
Integrated Math 2 Section 8-5
Integrated Math 2 Section 8-5Integrated Math 2 Section 8-5
Integrated Math 2 Section 8-5Jimbo Lamb
 
Matrix and its operation (addition, subtraction, multiplication)
Matrix and its operation (addition, subtraction, multiplication)Matrix and its operation (addition, subtraction, multiplication)
Matrix and its operation (addition, subtraction, multiplication)NirnayMukharjee
 

What's hot (18)

Matrix algebra
Matrix algebraMatrix algebra
Matrix algebra
 
Determinants
DeterminantsDeterminants
Determinants
 
Bba i-bm-u-2- matrix -
Bba i-bm-u-2- matrix -Bba i-bm-u-2- matrix -
Bba i-bm-u-2- matrix -
 
Ppt presentasi matrix algebra
Ppt presentasi matrix algebraPpt presentasi matrix algebra
Ppt presentasi matrix algebra
 
Matrices - Mathematics
Matrices - MathematicsMatrices - Mathematics
Matrices - Mathematics
 
Matrix.
Matrix.Matrix.
Matrix.
 
Lesson 1 matrix
Lesson 1 matrixLesson 1 matrix
Lesson 1 matrix
 
Matrices
MatricesMatrices
Matrices
 
Matrix basic operations
Matrix basic operationsMatrix basic operations
Matrix basic operations
 
Matrix presentation By DHEERAJ KATARIA
Matrix presentation By DHEERAJ KATARIAMatrix presentation By DHEERAJ KATARIA
Matrix presentation By DHEERAJ KATARIA
 
matrices and determinantes
matrices and determinantes matrices and determinantes
matrices and determinantes
 
Matrices
MatricesMatrices
Matrices
 
Matrix and Determinants
Matrix and DeterminantsMatrix and Determinants
Matrix and Determinants
 
Matrices and determinants
Matrices and determinantsMatrices and determinants
Matrices and determinants
 
Matrices and determinants
Matrices and determinantsMatrices and determinants
Matrices and determinants
 
Integrated Math 2 Section 8-5
Integrated Math 2 Section 8-5Integrated Math 2 Section 8-5
Integrated Math 2 Section 8-5
 
Matrix and its operation (addition, subtraction, multiplication)
Matrix and its operation (addition, subtraction, multiplication)Matrix and its operation (addition, subtraction, multiplication)
Matrix and its operation (addition, subtraction, multiplication)
 
Introduction to matices
Introduction to maticesIntroduction to matices
Introduction to matices
 

Similar to Matematika kelas XI semester 2 - Matriks fun mathematics

Similar to Matematika kelas XI semester 2 - Matriks fun mathematics (20)

Pertemuan 1 2
Pertemuan 1  2Pertemuan 1  2
Pertemuan 1 2
 
Matrices
MatricesMatrices
Matrices
 
Matrices & Determinants.pdf
Matrices & Determinants.pdfMatrices & Determinants.pdf
Matrices & Determinants.pdf
 
Matrices 1.pdf
Matrices 1.pdfMatrices 1.pdf
Matrices 1.pdf
 
Maths 9
Maths 9Maths 9
Maths 9
 
Operation on Matrices.pptx
Operation on Matrices.pptxOperation on Matrices.pptx
Operation on Matrices.pptx
 
10 operasi matriks
10 operasi matriks10 operasi matriks
10 operasi matriks
 
M a t r i k s
M a t r i k sM a t r i k s
M a t r i k s
 
matricesMrtices
matricesMrticesmatricesMrtices
matricesMrtices
 
BASIC CONCEPT OF MATRIX.pptx
BASIC CONCEPT OF MATRIX.pptxBASIC CONCEPT OF MATRIX.pptx
BASIC CONCEPT OF MATRIX.pptx
 
Matrix
MatrixMatrix
Matrix
 
Mathematics 1
Mathematics 1Mathematics 1
Mathematics 1
 
INTRODUCTION TO MATRICES, TYPES OF MATRICES,
INTRODUCTION TO MATRICES, TYPES OF MATRICES, INTRODUCTION TO MATRICES, TYPES OF MATRICES,
INTRODUCTION TO MATRICES, TYPES OF MATRICES,
 
Introduction To Matrix
Introduction To MatrixIntroduction To Matrix
Introduction To Matrix
 
matrix algebra
matrix algebramatrix algebra
matrix algebra
 
Linear Algebra and Matrix
Linear Algebra and MatrixLinear Algebra and Matrix
Linear Algebra and Matrix
 
Matrices
MatricesMatrices
Matrices
 
Lemh103
Lemh103Lemh103
Lemh103
 
7 4
7 47 4
7 4
 
Matrix and It's Applications
Matrix and It's ApplicationsMatrix and It's Applications
Matrix and It's Applications
 

Recently uploaded

Atp synthase , Atp synthase complex 1 to 4.
Atp synthase , Atp synthase complex 1 to 4.Atp synthase , Atp synthase complex 1 to 4.
Atp synthase , Atp synthase complex 1 to 4.Silpa
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxseri bangash
 
CYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxCYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxSilpa
 
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and SpectrometryFAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and SpectrometryAlex Henderson
 
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body Areesha Ahmad
 
Genetics and epigenetics of ADHD and comorbid conditions
Genetics and epigenetics of ADHD and comorbid conditionsGenetics and epigenetics of ADHD and comorbid conditions
Genetics and epigenetics of ADHD and comorbid conditionsbassianu17
 
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort ServiceCall Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort Serviceshivanisharma5244
 
Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.Silpa
 
Phenolics: types, biosynthesis and functions.
Phenolics: types, biosynthesis and functions.Phenolics: types, biosynthesis and functions.
Phenolics: types, biosynthesis and functions.Silpa
 
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptxGenome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptxSilpa
 
Gwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRL
Gwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRLGwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRL
Gwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRLkantirani197
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxDiariAli
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learninglevieagacer
 
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry Areesha Ahmad
 
Role of AI in seed science Predictive modelling and Beyond.pptx
Role of AI in seed science  Predictive modelling and  Beyond.pptxRole of AI in seed science  Predictive modelling and  Beyond.pptx
Role of AI in seed science Predictive modelling and Beyond.pptxArvind Kumar
 
Human genetics..........................pptx
Human genetics..........................pptxHuman genetics..........................pptx
Human genetics..........................pptxSilpa
 
Chemistry 5th semester paper 1st Notes.pdf
Chemistry 5th semester paper 1st Notes.pdfChemistry 5th semester paper 1st Notes.pdf
Chemistry 5th semester paper 1st Notes.pdfSumit Kumar yadav
 

Recently uploaded (20)

Atp synthase , Atp synthase complex 1 to 4.
Atp synthase , Atp synthase complex 1 to 4.Atp synthase , Atp synthase complex 1 to 4.
Atp synthase , Atp synthase complex 1 to 4.
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
 
CYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxCYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptx
 
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and SpectrometryFAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
 
Genetics and epigenetics of ADHD and comorbid conditions
Genetics and epigenetics of ADHD and comorbid conditionsGenetics and epigenetics of ADHD and comorbid conditions
Genetics and epigenetics of ADHD and comorbid conditions
 
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort ServiceCall Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
 
Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.
 
Phenolics: types, biosynthesis and functions.
Phenolics: types, biosynthesis and functions.Phenolics: types, biosynthesis and functions.
Phenolics: types, biosynthesis and functions.
 
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptxGenome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptx
 
Gwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRL
Gwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRLGwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRL
Gwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRL
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learning
 
Site Acceptance Test .
Site Acceptance Test                    .Site Acceptance Test                    .
Site Acceptance Test .
 
Clean In Place(CIP).pptx .
Clean In Place(CIP).pptx                 .Clean In Place(CIP).pptx                 .
Clean In Place(CIP).pptx .
 
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
GBSN - Biochemistry (Unit 2) Basic concept of organic chemistry
 
Role of AI in seed science Predictive modelling and Beyond.pptx
Role of AI in seed science  Predictive modelling and  Beyond.pptxRole of AI in seed science  Predictive modelling and  Beyond.pptx
Role of AI in seed science Predictive modelling and Beyond.pptx
 
Human genetics..........................pptx
Human genetics..........................pptxHuman genetics..........................pptx
Human genetics..........................pptx
 
Chemistry 5th semester paper 1st Notes.pdf
Chemistry 5th semester paper 1st Notes.pdfChemistry 5th semester paper 1st Notes.pdf
Chemistry 5th semester paper 1st Notes.pdf
 

Matematika kelas XI semester 2 - Matriks fun mathematics

  • 1. ^ Rosalina Apriana – XI Science 1^ Matrix (fun mathematics)
  • 2. What is matrix, guys?  A matrix is a collection of numbers arranged in rows and columns as welldenoted by uppercase. The properties of the matrix are not the same as the table, it has rules-specific standard rules. The matrix itself is really just the operator who becomes the machinedriving other sciences, for example geometric transformation.  The idea of the matrix was first introduced by Athur Cayley (1821-1895) in 1859 in England in a study of systems of linear equations and linear transformations. However, at first, the matrix was only a game because it could not be applied. It wasn't until 1925, 30 years after Cayley died, that matrices were used in quantum mechanics. Furthermore, the matrix has developed rapidly and is used in various fields.  Matrix are usually used in table data. example: making a journal, making report cards. well, matrix theory is usually used to add columns in the table or subtract, multiply, and divide the values in these columns.
  • 3. 03 Notation, order, element, transpose Basic matrix operations Matrix similarity Determinant of the matrix matrix constituent components 01 02 04 05 06 Invers of matrix Matrix equation
  • 5. 1. Notation, order and element A matrix has many sizes. This measure is called an order. Order innotate with Amxn where A denotes the matrix symbol, m the number of rowsand n the number of columns. Example : Matrix B = (2 3 0) (-1 2 7) The notation of the matrix above is B, while the order is B2x3, because of the many rows2 and many columns there are 3. 2. Transpose matrix Transpose matrix is a matrix obtained by changing the position of the elementrows become columns and column elements become rows. Transpose matrix Adenoted by AT. Example: A = (1 2 4) (1 3 6) (3 5 2) maka A^T = (2 5 7) (6 7 3) (4 2 3) Notation, order, element and transpose
  • 8. Explanation matrix operations  Multiplication scalar by matrix Multiply the numbers distributively across the elements Example : C= (4 6) 3C? 3C = 3(4 6) (7 -2) (7 -2)  Multiplication matrix by matrix Multiply the row elements in the left matrix by the column elements in the right matrix, base with base, end with tip, then sum. It must be like that, don’t do it randomly. Example : A = (3 5) dan B = (-4 2) find AxB? (-2 1) (3 6) Answer : AxB = (3 5) ( -4 I 2) = (12+5 6+30) -------- I (8+3 -4+6 ) (-2 1) (3 I 6) =(3 36) (11 2) Addition and Substraction matrices Multiplication matrix Add and subtract according to location Example : A = (4 5) dan B = (1 2) (-2 3) (0 -9) Find : a. A+B b. B-A Answer : a. A+B = (4 5) +(1 2) = (5 7) (-2 3) (0 -9) (-2 -6) b. B-A = (1 2) - (4 5) = (-3 -3) (0 -9) (-2 3) (-2 -6)
  • 10. • Two matrix we can similar if all the elements have the same value and have a symbol ‘=‘ • Example : 1. ( 3 2𝑥) (3 6) (−2 4 ) = (-2 4), tentukan nilai x Answer : 1. ( 3 2𝑥) ( 3 6) 2. (−2 4 ) = ( −2 4 ) Kedua ruas adalah matriks yang sama, karena ada tanda “=”. Sehingga tinggal disamakan saja bagian yang ingin di cari, yaitu 2𝑥 = 6 sehingga 𝑥 = 3 Matrix similarity
  • 12. Determinant of matrix ● Determinan of matrix is a value that gotten by some operations of matrix. ● Determinant itself will be used to find invers. 1. Determinant of matrix by order 2x2 Determinant matrix order 2x2 if matriks 𝐴 = ( 𝑎 𝑏, 𝑐 𝑑 ) maka determinannya det 𝐴 = |𝐴| = 𝑎𝑑 − 𝑏 Example : 𝐵 = ( 2 5) maka det𝐵 = 2.6 − 4.5 = 12 − 20 = −8 ( 4 6 ) 2. Determinant of matrix by order 3x3 If matriks 𝐴 = ( 3 2 5 ) maka determinannya adalah : ( -4 1 2 ) ( 3 3 4 ) Answer : Sehingga det 𝐶 = 3.1.4 + 2.2.3 + 5(−4). 3 − 2(−4). 4 − 3.2.3 − 5.1.3 = 12 + 12 − 60 + 32 − 18 − 15 = −37
  • 14. Invers of matrix * Invers of matrix A = (a b) is A^-1 = 1/det A. Adj A (c d) * Adj A = Adjoin A = (d -b) (-c a) *example : find invers matrix D = (4 9) (4 8) Answer : from question, det D = 32 – 36 = -4 and the adjoin = Adj D = ( 8 −9 ) (−4 4 ) So 𝐷^−1 = 1 det 𝐷 . 𝐴𝑑𝑗 𝐷 = 1 −4 ( 8 −9 −4 4 ) = ( −2 9/4) (1 −1 )
  • 16. Matrix equation • In matrix, multiplication between AxB and BxA is not same, and the value also different, so that in matrix there are 2 formula, it is : 1. If Ax =B, so the formula is X =A^-1 . B 2. If XA = B, so the formula is X = BA^-1 • How to evidance this formula? Remember the inverse property, if A.A-1 = I as well as A-1.A = I. Where I = identity matrix which has the same properties as number 1. So, if we are want to solve AX = B where X is the matrix that we want to find, then we have to eliminates A in the left side. Why can't A just be transferred to it? That because there is no term of division between the matrix and the matrix. So that technique right to get X is to eliminate A on the left, of course, by the rule correct, that is, by multiplying both sides by A-1 from the left. Complete as following: AX = B A-1. AX = A-1.B (both sides times A-1 from the left, because A is to the left of X), the result: I.X = A-1.B (because the nature of the identity matrix is ​​equal to 1, then I.X = X), so: X = A-1.B
  • 17. • Likewise for the formula for finding X at XA = B, we will see the target we want to eliminate namely A, where is it. Right? Then we have to multiply both equations by A-1 from the right too. Produce: XA = B XA . A-1 = B.A-1 (both sides times A-1 from the right, because A is to the right of X), the result: X.I = BA-1 (because the nature of the identity matrix is ​​equal to 1, then I.X = X), so: X = B.A-1 * example : (3 2) . X = (8 -1) (6 -1) (x -22) We rearrange the pattern, AX = B (A is on the left, then both sides are multiplied by A-1 from the left Resulting in X = A-1 .B X = A-1 .B X = (1/det A. Adj A). B X = 1/-15 (-1 -2) (8 -1) (-6 3) (11 -22) X = (2 -2) (-1 4)
  • 18. “If you wanna feel something extraordinary You need to be someone incredibly.” —rosalina apriana