SlideShare a Scribd company logo
1 of 3
Matrices and Determinants

            General Form:
                                    a11     a12     a13    ...      a1n

                                    a21     a22     a23    ...      a2n
                                     .       .       .               .
                                     .       .       .               .
                                     .       .       .               .
                                    am1     am2     am3 . . .       amn


                    Such an array arrange in            rows and     columns is called a matrix of size               , or    by .

                    For every matrix of order , for every        matrix A, the corresponding value of the determinant
                    function is denoted by either |A| or det A. We call |A|, the determinant of A. Determinants are
                    numbers associated with a square matrix.

   1. Second order matrix, n = 2

                                          a11     a12
                                 A=
                                          a21     a22

                    To get the determinant of A

                                 |A| = (a11)(a22) - (a12)(a21)

   2. Third order matrix, n = 3

                                           a11     a12      a13

                                 A=        a21     a22      a23

                                           a31     a32      a33


To get the determinant of A

    |A| = [(a11)(a22)(a33) + (a12)(a23)(a31) + (a13)(a21)(a32)] - [(a12)(a21)(a33) + (a11)(a23)(a32) + (a13)(a22)(a13)]


   3. If n > 3
                                                                           n
             Then
                       |A| = a11A11 + a12A12 + … + a1nA1n            =    Σa
                                                                          k=1
                                                                                1kA1k



                              Where:
                                       a1j = element in the first row
                                       A1n = cofactor of a1j = (-1)1+j M1j
                                                                  M1j = minor of a1j


Face Your Weaknesses

  The best way to get better at anything and to be successful is to face the weaknesses we all possess. Everyone has weaknesses and in
order to be better, think clear, act appropriately, and succeed, you have to identify the areas you need to improve on and then take action
                                                    to turn your weaknesses into strengths.
Example: Find the determinant of A

                                2       1     1      2
                                1       2     2      2
                        A=
                                2      -1    -2      1
                                2      -2     1     -1

            Solution:

                        |A| = (2)A11 + (1)A12 + (1)A13 + (2) A14


                                                         2    2     2
                                    A11 = (-1)1+1       -1   -2     1      = -14
                                                        -2    1    -1



                                                        1     2     2
                                    A12 = (-1)1+2       2    -2     1      = -21
                                                        2     1    -1


                                                        1     2     2
                                    A13 = (-1)1+3       2    -1     1      =7
                                                        2    -2    -1



                                                        1     2     2
                                    A14 = (-1)1+4       2    -1    -2      = 21
                                                        2    -2     1


                        |A| = (2)(-14) + (1)(-21) + (1)(7) + (2)(21)

                        |A| = 0


       SEATWORK: Find the value of each of the following determinants.

          (1.)                                                          (3.)
                               1      2      3      4                                       2      2      1      4
                               2      1      4      3                                       2      8      4      3
                       A=                                                           A=
                               3      4      2      1                                       5      4      11     13
                               4      3      1      2                                       4      6      1      2



          (2.)
                               1      2      3      4                   (4.)
                                                                                            9      2      7      6
                               4      3      2      1
                       A=                                                                   2      8      4      3
                               2      1      4      3                               A=
                                                                                            1      2      8      4
                               3      4      1      2
                                                                                            3      6      9      2
Have Fun

 When people start into the process of being successful, whether for personal growth or starting a business, they may start by incorporating
fun, but within a very short time, they realize it is hard work and the fun simply falls by the wayside.They enjoy life, the people around them,
 and even find enjoyment in the challenges. This one element is often forgotten. This is a crucial element for success and should be a part of
                                                                   your plan.
Theorems of Determinants

                        1.        If two rows (columns) are interchanged, the value of the determinant is negative.


                                                    2      6      4
                                            A=      5      2      3
                                                    3      1      5


                                                     |A| = (20 + 54 + 20) - (150 + 6 + 24) = - 86


                                                    3      1      5
                                            A=      5      2      3
                                                    2      6      4


                                                     |A| = (24 + 6 + 150) - (20 + 54 + 20) = 86

                        2.        If the element of a row (column) are all 0's, then |A| = 0

                                                    3      0      5
                                            A=      5      0      3
                                                    2      0      4


                                                        |A| = 0

                        3.        If one row (column) is proportional or equal to another row (column) then |A| = 0

                                                    2      6      4
                                            A=      5      2      3
                                                    2      6      4

                                                        |A| = 0

                        4.        If a constant k is multiplied to each element in a row (column), the value of the
                                          determinant is multiplied by k.


                                                    2(2) 6(2) 4(2)              4      12    8
                                            A=       5    2    3           =    5      2     3
                                                     3    1    5                3      1     5


                                           |A| = - 172




Have Balance In Your Life

  You have to find balance not only for yourself but also for others around you. Balance means providing time away from work for pleasure,
                             working extra hours when required, knowing when a new direction is required, etc.

More Related Content

What's hot

Semana 12 ecuaciones polinomiales i álgebra-uni ccesa007
Semana 12   ecuaciones polinomiales i  álgebra-uni ccesa007Semana 12   ecuaciones polinomiales i  álgebra-uni ccesa007
Semana 12 ecuaciones polinomiales i álgebra-uni ccesa007Demetrio Ccesa Rayme
 
chp-1-matrices-determinants1 (2).ppt
chp-1-matrices-determinants1 (2).pptchp-1-matrices-determinants1 (2).ppt
chp-1-matrices-determinants1 (2).pptrushikumar17
 
Semana 25 funciones especiales álgebra uni ccesa007
Semana 25 funciones especiales álgebra uni ccesa007Semana 25 funciones especiales álgebra uni ccesa007
Semana 25 funciones especiales álgebra uni ccesa007Demetrio Ccesa Rayme
 
Semana 31 matrices álgebra uni ccesa007
Semana 31 matrices  álgebra uni ccesa007Semana 31 matrices  álgebra uni ccesa007
Semana 31 matrices álgebra uni ccesa007Demetrio Ccesa Rayme
 
IIT JAM MATH 2019 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2019 Question Paper | Sourav Sir's ClassesIIT JAM MATH 2019 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2019 Question Paper | Sourav Sir's ClassesSOURAV DAS
 
mws_gen_sle_ppt_eigenvalues.pptx
mws_gen_sle_ppt_eigenvalues.pptxmws_gen_sle_ppt_eigenvalues.pptx
mws_gen_sle_ppt_eigenvalues.pptxrushikumar17
 
Chapter 2 matrices
Chapter 2   matricesChapter 2   matrices
Chapter 2 matricessarkissk
 
Graphs in physics
Graphs in physicsGraphs in physics
Graphs in physicssimonandisa
 
IIT JAM MATH 2020 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2020 Question Paper | Sourav Sir's ClassesIIT JAM MATH 2020 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2020 Question Paper | Sourav Sir's ClassesSOURAV DAS
 
Solutions Manual for College Algebra Concepts Through Functions 3rd Edition b...
Solutions Manual for College Algebra Concepts Through Functions 3rd Edition b...Solutions Manual for College Algebra Concepts Through Functions 3rd Edition b...
Solutions Manual for College Algebra Concepts Through Functions 3rd Edition b...RhiannonBanksss
 
Numerical solutions for linear system of equations
Numerical solutions for linear system of equationsNumerical solutions for linear system of equations
Numerical solutions for linear system of equationsMohamed Mohamed El-Sayed
 
Gate mathematics questions all branch by s k mondal
Gate mathematics questions all branch by s k mondalGate mathematics questions all branch by s k mondal
Gate mathematics questions all branch by s k mondalAashishv
 

What's hot (20)

Semana 12 ecuaciones polinomiales i álgebra-uni ccesa007
Semana 12   ecuaciones polinomiales i  álgebra-uni ccesa007Semana 12   ecuaciones polinomiales i  álgebra-uni ccesa007
Semana 12 ecuaciones polinomiales i álgebra-uni ccesa007
 
chp-1-matrices-determinants1 (2).ppt
chp-1-matrices-determinants1 (2).pptchp-1-matrices-determinants1 (2).ppt
chp-1-matrices-determinants1 (2).ppt
 
Semana 25 funciones especiales álgebra uni ccesa007
Semana 25 funciones especiales álgebra uni ccesa007Semana 25 funciones especiales álgebra uni ccesa007
Semana 25 funciones especiales álgebra uni ccesa007
 
Semana 31 matrices álgebra uni ccesa007
Semana 31 matrices  álgebra uni ccesa007Semana 31 matrices  álgebra uni ccesa007
Semana 31 matrices álgebra uni ccesa007
 
IIT JAM MATH 2019 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2019 Question Paper | Sourav Sir's ClassesIIT JAM MATH 2019 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2019 Question Paper | Sourav Sir's Classes
 
mws_gen_sle_ppt_eigenvalues.pptx
mws_gen_sle_ppt_eigenvalues.pptxmws_gen_sle_ppt_eigenvalues.pptx
mws_gen_sle_ppt_eigenvalues.pptx
 
Chapter 2 matrices
Chapter 2   matricesChapter 2   matrices
Chapter 2 matrices
 
APM.pdf
APM.pdfAPM.pdf
APM.pdf
 
Graphs in physics
Graphs in physicsGraphs in physics
Graphs in physics
 
IIT JAM MATH 2020 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2020 Question Paper | Sourav Sir's ClassesIIT JAM MATH 2020 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2020 Question Paper | Sourav Sir's Classes
 
Solutions Manual for College Algebra Concepts Through Functions 3rd Edition b...
Solutions Manual for College Algebra Concepts Through Functions 3rd Edition b...Solutions Manual for College Algebra Concepts Through Functions 3rd Edition b...
Solutions Manual for College Algebra Concepts Through Functions 3rd Edition b...
 
determinants.ppt
determinants.pptdeterminants.ppt
determinants.ppt
 
Add Maths 2
Add Maths 2Add Maths 2
Add Maths 2
 
Numerical solutions for linear system of equations
Numerical solutions for linear system of equationsNumerical solutions for linear system of equations
Numerical solutions for linear system of equations
 
Eigenvalues - Contd
Eigenvalues - ContdEigenvalues - Contd
Eigenvalues - Contd
 
Gate maths
Gate mathsGate maths
Gate maths
 
Chapter11
Chapter11Chapter11
Chapter11
 
Gate mathematics questions all branch by s k mondal
Gate mathematics questions all branch by s k mondalGate mathematics questions all branch by s k mondal
Gate mathematics questions all branch by s k mondal
 
Tables for Group Theory
Tables for Group TheoryTables for Group Theory
Tables for Group Theory
 
M1 PART-A
M1 PART-AM1 PART-A
M1 PART-A
 

Viewers also liked

004 differential calculus
004 differential calculus004 differential calculus
004 differential calculusphysics101
 
003 the limit concept
003 the limit concept003 the limit concept
003 the limit conceptphysics101
 
011 numerical integration
011 numerical integration011 numerical integration
011 numerical integrationphysics101
 
001 basic concepts
001 basic concepts001 basic concepts
001 basic conceptsphysics101
 
Fall protection
Fall protectionFall protection
Fall protectionphysics101
 
004 diesel power plant
004 diesel power plant004 diesel power plant
004 diesel power plantphysics101
 
#007 sheet metal bending
#007 sheet metal bending#007 sheet metal bending
#007 sheet metal bendingphysics101
 
Emergency response plan
Emergency response planEmergency response plan
Emergency response planphysics101
 
001 thermodynamic system
001 thermodynamic system001 thermodynamic system
001 thermodynamic systemphysics101
 
Special curves
Special curvesSpecial curves
Special curvesphysics101
 
007 fuels and combustion
007 fuels and combustion007 fuels and combustion
007 fuels and combustionphysics101
 
001 carnot cycle
001 carnot cycle001 carnot cycle
001 carnot cyclephysics101
 
007 isometric process
007 isometric process007 isometric process
007 isometric processphysics101
 
Drying equipments
Drying equipmentsDrying equipments
Drying equipmentsphysics101
 

Viewers also liked (19)

004 differential calculus
004 differential calculus004 differential calculus
004 differential calculus
 
#14 threading
#14 threading#14 threading
#14 threading
 
003 the limit concept
003 the limit concept003 the limit concept
003 the limit concept
 
011 numerical integration
011 numerical integration011 numerical integration
011 numerical integration
 
001 basic concepts
001 basic concepts001 basic concepts
001 basic concepts
 
004 parabola
004 parabola004 parabola
004 parabola
 
Fall protection
Fall protectionFall protection
Fall protection
 
004 diesel power plant
004 diesel power plant004 diesel power plant
004 diesel power plant
 
#007 sheet metal bending
#007 sheet metal bending#007 sheet metal bending
#007 sheet metal bending
 
Emergency response plan
Emergency response planEmergency response plan
Emergency response plan
 
001 thermodynamic system
001 thermodynamic system001 thermodynamic system
001 thermodynamic system
 
Special curves
Special curvesSpecial curves
Special curves
 
007 fuels and combustion
007 fuels and combustion007 fuels and combustion
007 fuels and combustion
 
001 carnot cycle
001 carnot cycle001 carnot cycle
001 carnot cycle
 
007
007007
007
 
007 drilling
007 drilling007 drilling
007 drilling
 
Rocker arm
Rocker armRocker arm
Rocker arm
 
007 isometric process
007 isometric process007 isometric process
007 isometric process
 
Drying equipments
Drying equipmentsDrying equipments
Drying equipments
 

Similar to 001 matrices and_determinants

Similar to 001 matrices and_determinants (20)

Matrix2 english
Matrix2 englishMatrix2 english
Matrix2 english
 
5 maths cbse_2012-13_12th_20-03-13
5 maths cbse_2012-13_12th_20-03-135 maths cbse_2012-13_12th_20-03-13
5 maths cbse_2012-13_12th_20-03-13
 
Semi-Magic Squares From Snake-Shaped Matrices
Semi-Magic Squares From Snake-Shaped MatricesSemi-Magic Squares From Snake-Shaped Matrices
Semi-Magic Squares From Snake-Shaped Matrices
 
Determinants, Properties and IMT
Determinants, Properties and IMTDeterminants, Properties and IMT
Determinants, Properties and IMT
 
Tutorial 8 mth 3201
Tutorial 8 mth 3201Tutorial 8 mth 3201
Tutorial 8 mth 3201
 
Determinants
DeterminantsDeterminants
Determinants
 
5 indices & logarithms
5  indices & logarithms5  indices & logarithms
5 indices & logarithms
 
1301 c1 january_2013_mark_scheme
1301 c1 january_2013_mark_scheme1301 c1 january_2013_mark_scheme
1301 c1 january_2013_mark_scheme
 
Week3
Week3Week3
Week3
 
Determinants
DeterminantsDeterminants
Determinants
 
Determinants
DeterminantsDeterminants
Determinants
 
Lesson 7: Determinants II
Lesson 7: Determinants IILesson 7: Determinants II
Lesson 7: Determinants II
 
Debojyoit
Debojyoit Debojyoit
Debojyoit
 
Lemh104
Lemh104Lemh104
Lemh104
 
A combinatorial approach to determinants
A combinatorial approach to determinantsA combinatorial approach to determinants
A combinatorial approach to determinants
 
S 5
S 5S 5
S 5
 
Matrices
MatricesMatrices
Matrices
 
Bowen prelim a maths p1 2011 with answer key
Bowen prelim  a maths p1 2011 with answer keyBowen prelim  a maths p1 2011 with answer key
Bowen prelim a maths p1 2011 with answer key
 
Ejemplos matriz inversa
Ejemplos matriz inversaEjemplos matriz inversa
Ejemplos matriz inversa
 
Matrices - Mathematics
Matrices - MathematicsMatrices - Mathematics
Matrices - Mathematics
 

More from physics101

Bm 10 mr and e-marketing
Bm 10 mr and e-marketingBm 10 mr and e-marketing
Bm 10 mr and e-marketingphysics101
 
Bm 9 marketing element for be and csr
Bm 9 marketing element for be and csrBm 9 marketing element for be and csr
Bm 9 marketing element for be and csrphysics101
 
Bm 8 brand equity & management
Bm 8 brand equity & managementBm 8 brand equity & management
Bm 8 brand equity & managementphysics101
 
Bernoulli's equation
Bernoulli's equationBernoulli's equation
Bernoulli's equationphysics101
 
Fundamental law of gearing
Fundamental law of gearingFundamental law of gearing
Fundamental law of gearingphysics101
 
Centrifugal pumps in series and parallel
Centrifugal pumps in series and parallelCentrifugal pumps in series and parallel
Centrifugal pumps in series and parallelphysics101
 
Laminar and turbulent f low
Laminar and turbulent f lowLaminar and turbulent f low
Laminar and turbulent f lowphysics101
 
Engine systems
Engine systemsEngine systems
Engine systemsphysics101
 
Bomb calorimeter experiment
Bomb calorimeter experimentBomb calorimeter experiment
Bomb calorimeter experimentphysics101
 
Flash and fire point
Flash and fire pointFlash and fire point
Flash and fire pointphysics101
 
Calibration of pressure gauges
Calibration of pressure gaugesCalibration of pressure gauges
Calibration of pressure gaugesphysics101
 
Hazardous substances 01
Hazardous substances 01Hazardous substances 01
Hazardous substances 01physics101
 
Hazard communication lect 1
Hazard communication lect 1Hazard communication lect 1
Hazard communication lect 1physics101
 
Scientific methods
Scientific methodsScientific methods
Scientific methodsphysics101
 

More from physics101 (20)

Bm 10 mr and e-marketing
Bm 10 mr and e-marketingBm 10 mr and e-marketing
Bm 10 mr and e-marketing
 
Bm 9 marketing element for be and csr
Bm 9 marketing element for be and csrBm 9 marketing element for be and csr
Bm 9 marketing element for be and csr
 
Bm 8 brand equity & management
Bm 8 brand equity & managementBm 8 brand equity & management
Bm 8 brand equity & management
 
Manuala hw
Manuala hwManuala hw
Manuala hw
 
F1
F1F1
F1
 
F6
F6F6
F6
 
Fire safety
Fire safetyFire safety
Fire safety
 
Bernoulli's equation
Bernoulli's equationBernoulli's equation
Bernoulli's equation
 
Gear trains
Gear trainsGear trains
Gear trains
 
Fundamental law of gearing
Fundamental law of gearingFundamental law of gearing
Fundamental law of gearing
 
Gears
GearsGears
Gears
 
Centrifugal pumps in series and parallel
Centrifugal pumps in series and parallelCentrifugal pumps in series and parallel
Centrifugal pumps in series and parallel
 
Laminar and turbulent f low
Laminar and turbulent f lowLaminar and turbulent f low
Laminar and turbulent f low
 
Engine systems
Engine systemsEngine systems
Engine systems
 
Bomb calorimeter experiment
Bomb calorimeter experimentBomb calorimeter experiment
Bomb calorimeter experiment
 
Flash and fire point
Flash and fire pointFlash and fire point
Flash and fire point
 
Calibration of pressure gauges
Calibration of pressure gaugesCalibration of pressure gauges
Calibration of pressure gauges
 
Hazardous substances 01
Hazardous substances 01Hazardous substances 01
Hazardous substances 01
 
Hazard communication lect 1
Hazard communication lect 1Hazard communication lect 1
Hazard communication lect 1
 
Scientific methods
Scientific methodsScientific methods
Scientific methods
 

Recently uploaded

Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 

Recently uploaded (20)

Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 

001 matrices and_determinants

  • 1. Matrices and Determinants General Form: a11 a12 a13 ... a1n a21 a22 a23 ... a2n . . . . . . . . . . . . am1 am2 am3 . . . amn Such an array arrange in rows and columns is called a matrix of size , or by . For every matrix of order , for every matrix A, the corresponding value of the determinant function is denoted by either |A| or det A. We call |A|, the determinant of A. Determinants are numbers associated with a square matrix. 1. Second order matrix, n = 2 a11 a12 A= a21 a22 To get the determinant of A |A| = (a11)(a22) - (a12)(a21) 2. Third order matrix, n = 3 a11 a12 a13 A= a21 a22 a23 a31 a32 a33 To get the determinant of A |A| = [(a11)(a22)(a33) + (a12)(a23)(a31) + (a13)(a21)(a32)] - [(a12)(a21)(a33) + (a11)(a23)(a32) + (a13)(a22)(a13)] 3. If n > 3 n Then |A| = a11A11 + a12A12 + … + a1nA1n = Σa k=1 1kA1k Where: a1j = element in the first row A1n = cofactor of a1j = (-1)1+j M1j M1j = minor of a1j Face Your Weaknesses The best way to get better at anything and to be successful is to face the weaknesses we all possess. Everyone has weaknesses and in order to be better, think clear, act appropriately, and succeed, you have to identify the areas you need to improve on and then take action to turn your weaknesses into strengths.
  • 2. Example: Find the determinant of A 2 1 1 2 1 2 2 2 A= 2 -1 -2 1 2 -2 1 -1 Solution: |A| = (2)A11 + (1)A12 + (1)A13 + (2) A14 2 2 2 A11 = (-1)1+1 -1 -2 1 = -14 -2 1 -1 1 2 2 A12 = (-1)1+2 2 -2 1 = -21 2 1 -1 1 2 2 A13 = (-1)1+3 2 -1 1 =7 2 -2 -1 1 2 2 A14 = (-1)1+4 2 -1 -2 = 21 2 -2 1 |A| = (2)(-14) + (1)(-21) + (1)(7) + (2)(21) |A| = 0 SEATWORK: Find the value of each of the following determinants. (1.) (3.) 1 2 3 4 2 2 1 4 2 1 4 3 2 8 4 3 A= A= 3 4 2 1 5 4 11 13 4 3 1 2 4 6 1 2 (2.) 1 2 3 4 (4.) 9 2 7 6 4 3 2 1 A= 2 8 4 3 2 1 4 3 A= 1 2 8 4 3 4 1 2 3 6 9 2 Have Fun When people start into the process of being successful, whether for personal growth or starting a business, they may start by incorporating fun, but within a very short time, they realize it is hard work and the fun simply falls by the wayside.They enjoy life, the people around them, and even find enjoyment in the challenges. This one element is often forgotten. This is a crucial element for success and should be a part of your plan.
  • 3. Theorems of Determinants 1. If two rows (columns) are interchanged, the value of the determinant is negative. 2 6 4 A= 5 2 3 3 1 5 |A| = (20 + 54 + 20) - (150 + 6 + 24) = - 86 3 1 5 A= 5 2 3 2 6 4 |A| = (24 + 6 + 150) - (20 + 54 + 20) = 86 2. If the element of a row (column) are all 0's, then |A| = 0 3 0 5 A= 5 0 3 2 0 4 |A| = 0 3. If one row (column) is proportional or equal to another row (column) then |A| = 0 2 6 4 A= 5 2 3 2 6 4 |A| = 0 4. If a constant k is multiplied to each element in a row (column), the value of the determinant is multiplied by k. 2(2) 6(2) 4(2) 4 12 8 A= 5 2 3 = 5 2 3 3 1 5 3 1 5 |A| = - 172 Have Balance In Your Life You have to find balance not only for yourself but also for others around you. Balance means providing time away from work for pleasure, working extra hours when required, knowing when a new direction is required, etc.