SlideShare a Scribd company logo
Lesson 6
           Determinants (Section 13.3–5)

                           Math 20


                       October 3, 2007


Announcements
   Thomas Schelling at IOP (79 JFK Street), Wednesday 6pm
   Problem Set 3 is on the course web site. Due October 10
   Sign up for conference times on course website
   My office hours: Mondays 1–2, Tuesdays 3–4, Wednesdays
   1–3 (SC 323)
The determinant




   Definition
                                           a11 a12
   The determinant of a 2 × 2 matrix A =             is the number
                                           a21 a22

                     a11 a12
                             = a11 a22 − a21 a12
                     a21 a22
The determinant



   Definition
   The determinant of a 3 × 3 matrix is

      a11 a12 a13
      a21 a22 a23 = a11 a22 a33 − a11 a23 a32 − a21 a12 a33
      a31 a32 a33
                                + a21 a13 a32 + a31 a12 a23 − a31 a22 a13
The 3 × 3 determinant by “sudoku” patterns




     a11 a22 a33 − a11 a23 a32 + a12 a23 a31




                    − a12 a21 a33 + a13 a22 a31 − a13 a21 a32
The 3 × 3 determinant by “sudoku” patterns




      a11 a22 a33 − a11 a23 a32 + a12 a23 a31




                      − a12 a21 a33 + a13 a22 a31 − a13 a21 a32


   Observations
       These are all the ways we can put three dots, one in each row
       and column
       The sign is positive if the number of “up” lines is even,
       negative if it’s odd
The 3 × 3 determinant by cofactors


   We can compute a 3 × 3 determinant in terms of smaller
   determinants:
    a11 a12 a13
    a21 a22 a23 = a11 a22 a33 − a11 a23 a32 + a12 a31 a23
    a31 a32 a33
                        − a12 a21 a33 + a13 a21 a32 − a13 a31 a22
                           a22 a23       a   a       a   a
                                   − a12 21 23 + a13 21 22
                   = a11
                           a32 a33       a31 a33     a31 a32
Example




  Example
          12   3
  Compute 2 −3 2
          3 1 −1
Example




  Example
          12   3
  Compute 2 −3 2
          3 1 −1

  Solution
  50.
Determinants of n × n matrices by patterns




   Definition
   Let A = (aij )n×n be a matrix. The determinant of A is a sum of
   all products of n elements of the matrix, where each product takes
   exactly one entry from each row and column.
Determinants of n × n matrices by patterns




   Definition
   Let A = (aij )n×n be a matrix. The determinant of A is a sum of
   all products of n elements of the matrix, where each product takes
   exactly one entry from each row and column.
   The sign of each product is given by (−1)σ , where σ is the number
   of upwards lines used when all the entries in a pattern are
   connected.
4 × 4 sudoku patterns



             −          −           −
      +                     +   +



      −                     −   −
             +          +           +



             −          −           −
      +                     +   +



      −                     −   −
             +          +           +
Determinants of n × n matrices by cofactors




   Definition
   Let A = (aij )n×n be a matrix. The (i, j)-minor of A is the matrix
   obtained from A by deleting the ith row and j column. This matrix
   has dimensions (n − 1) × (n − 1).
   The (i, j) cofactor of A is the determinant of the (i, j) minor
   times (−1)i+j .
The 3 × 3 determinant by cofactors


   We can compute a 3 × 3 determinant in terms of smaller
   determinants:
    a11 a12 a13
    a21 a22 a23 = a11 a22 a33 − a11 a23 a32 + a12 a31 a23
    a31 a32 a33
                        − a12 a21 a33 + a13 a21 a32 − a13 a31 a22
                           a22 a23       a   a       a   a
                                   − a12 21 23 + a13 21 22
                   = a11
                           a32 a33       a31 a33     a31 a32
The 3 × 3 determinant by cofactors


   We can compute a 3 × 3 determinant in terms of smaller
   determinants:
    a11 a12 a13
    a21 a22 a23 = a11 a22 a33 − a11 a23 a32 + a12 a31 a23
    a31 a32 a33
                        − a12 a21 a33 + a13 a21 a32 − a13 a31 a22
                           a22 a23       a   a       a   a
                                   − a12 21 23 + a13 21 22
                   = a11
                           a32 a33       a31 a33     a31 a32
                   = a11 C11 + a12 C12 + a13 C13
Fact
The determinant of A = (aij )n×n is the sum

                 a11 C11 + a12 C12 + · · · + a1n C1n

More Related Content

What's hot

10th grade final exam review answer key
10th grade final exam review answer key10th grade final exam review answer key
10th grade final exam review answer keyJoshua Gerrard
 
Gaussian Elimination
Gaussian EliminationGaussian Elimination
Gaussian EliminationZunAib Ali
 
Greatest integer function
Greatest integer functionGreatest integer function
Greatest integer function
Neil MacIntosh
 
Graphing quadratic equations
Graphing quadratic equationsGraphing quadratic equations
Graphing quadratic equations
R Thomas
 
Operations research 1_the_two-phase_simp
Operations research 1_the_two-phase_simpOperations research 1_the_two-phase_simp
Operations research 1_the_two-phase_simp
Chulalongkorn University
 
16.2 Solving by Factoring
16.2 Solving by Factoring16.2 Solving by Factoring
16.2 Solving by Factoring
swartzje
 
Graph of quadratic function
Graph of quadratic functionGraph of quadratic function
Graph of quadratic function
Nadeem Uddin
 
Means and variances of random variables
Means and variances of random variablesMeans and variances of random variables
Means and variances of random variablesUlster BOCES
 
Quadratic functions
Quadratic functionsQuadratic functions
Quadratic functions
Neil MacIntosh
 
Solution of matlab chapter 1
Solution of matlab chapter 1Solution of matlab chapter 1
Solution of matlab chapter 1
AhsanIrshad8
 
Vedic maths
Vedic mathsVedic maths
Vedic maths
SagarDuttPhuloria
 
1563 matrix algebra
1563 matrix algebra1563 matrix algebra
1563 matrix algebra
Dr Fereidoun Dejahang
 
Ecuaciones cuadráticas completas
Ecuaciones cuadráticas completasEcuaciones cuadráticas completas
Ecuaciones cuadráticas completas
Wilver Ovando Zamora
 
Chapter 04 drill_solution
Chapter 04 drill_solutionChapter 04 drill_solution
Chapter 04 drill_solution
khalil ur rehman marwat
 
GAUSS ELIMINATION METHOD
 GAUSS ELIMINATION METHOD GAUSS ELIMINATION METHOD
GAUSS ELIMINATION METHOD
reach2arkaELECTRICAL
 
Tangent and normal
Tangent and normalTangent and normal
Tangent and normal
sumanmathews
 
Derive Exponential Derivative Rule
Derive Exponential Derivative RuleDerive Exponential Derivative Rule
Derive Exponential Derivative Rule
Phil Clark
 

What's hot (20)

10th grade final exam review answer key
10th grade final exam review answer key10th grade final exam review answer key
10th grade final exam review answer key
 
Gaussian Elimination
Gaussian EliminationGaussian Elimination
Gaussian Elimination
 
Greatest integer function
Greatest integer functionGreatest integer function
Greatest integer function
 
Graphing quadratic equations
Graphing quadratic equationsGraphing quadratic equations
Graphing quadratic equations
 
Operations research 1_the_two-phase_simp
Operations research 1_the_two-phase_simpOperations research 1_the_two-phase_simp
Operations research 1_the_two-phase_simp
 
16.2 Solving by Factoring
16.2 Solving by Factoring16.2 Solving by Factoring
16.2 Solving by Factoring
 
Graph of quadratic function
Graph of quadratic functionGraph of quadratic function
Graph of quadratic function
 
Means and variances of random variables
Means and variances of random variablesMeans and variances of random variables
Means and variances of random variables
 
Es272 ch4a
Es272 ch4aEs272 ch4a
Es272 ch4a
 
July16
July16July16
July16
 
Quadratic functions
Quadratic functionsQuadratic functions
Quadratic functions
 
4.3 cramer’s rule
4.3 cramer’s rule4.3 cramer’s rule
4.3 cramer’s rule
 
Solution of matlab chapter 1
Solution of matlab chapter 1Solution of matlab chapter 1
Solution of matlab chapter 1
 
Vedic maths
Vedic mathsVedic maths
Vedic maths
 
1563 matrix algebra
1563 matrix algebra1563 matrix algebra
1563 matrix algebra
 
Ecuaciones cuadráticas completas
Ecuaciones cuadráticas completasEcuaciones cuadráticas completas
Ecuaciones cuadráticas completas
 
Chapter 04 drill_solution
Chapter 04 drill_solutionChapter 04 drill_solution
Chapter 04 drill_solution
 
GAUSS ELIMINATION METHOD
 GAUSS ELIMINATION METHOD GAUSS ELIMINATION METHOD
GAUSS ELIMINATION METHOD
 
Tangent and normal
Tangent and normalTangent and normal
Tangent and normal
 
Derive Exponential Derivative Rule
Derive Exponential Derivative RuleDerive Exponential Derivative Rule
Derive Exponential Derivative Rule
 

Viewers also liked

Linear algebra
Linear algebra Linear algebra
Linear algebra
Tauqeer Ahmed Shaikh
 
Lesson 3: The limit of a function
Lesson 3: The limit of a functionLesson 3: The limit of a function
Lesson 3: The limit of a functionMatthew Leingang
 
Lesson 4: Calculating Limits
Lesson 4: Calculating LimitsLesson 4: Calculating Limits
Lesson 4: Calculating LimitsMatthew Leingang
 
Lesson30 First Order Difference Equations Handout
Lesson30   First Order Difference Equations HandoutLesson30   First Order Difference Equations Handout
Lesson30 First Order Difference Equations Handout
Matthew Leingang
 
Lesson 8: Determinants III
Lesson 8: Determinants IIILesson 8: Determinants III
Lesson 8: Determinants IIIMatthew Leingang
 
Lesson02 Vectors And Matrices Slides
Lesson02   Vectors And Matrices SlidesLesson02   Vectors And Matrices Slides
Lesson02 Vectors And Matrices SlidesMatthew Leingang
 
Lesson 4 - Calculating Limits (Slides+Notes)
Lesson 4 - Calculating Limits (Slides+Notes)Lesson 4 - Calculating Limits (Slides+Notes)
Lesson 4 - Calculating Limits (Slides+Notes)Matthew Leingang
 
Lesson31 Higher Dimensional First Order Difference Equations Slides
Lesson31   Higher Dimensional First Order Difference Equations SlidesLesson31   Higher Dimensional First Order Difference Equations Slides
Lesson31 Higher Dimensional First Order Difference Equations Slides
Matthew Leingang
 
Lesson 4: Lines and Planes (slides + notes)
Lesson 4: Lines and Planes (slides + notes)Lesson 4: Lines and Planes (slides + notes)
Lesson 4: Lines and Planes (slides + notes)Matthew Leingang
 
Lesson 6 - Introduction To Determinants (Slides+Notes)
Lesson 6 - Introduction To  Determinants (Slides+Notes)Lesson 6 - Introduction To  Determinants (Slides+Notes)
Lesson 6 - Introduction To Determinants (Slides+Notes)Matthew Leingang
 
Lesson30 First Order Difference Equations Slides
Lesson30   First Order Difference Equations SlidesLesson30   First Order Difference Equations Slides
Lesson30 First Order Difference Equations Slides
Matthew Leingang
 
Lesson 1: Systems of Linear Equations (slides)
Lesson 1: Systems of Linear Equations (slides)Lesson 1: Systems of Linear Equations (slides)
Lesson 1: Systems of Linear Equations (slides)Matthew Leingang
 
Lesson32 Second Order Difference Equations Slides
Lesson32   Second Order Difference Equations SlidesLesson32   Second Order Difference Equations Slides
Lesson32 Second Order Difference Equations Slides
Matthew Leingang
 
Lesson 9: Gaussian Elimination
Lesson 9: Gaussian EliminationLesson 9: Gaussian Elimination
Lesson 9: Gaussian EliminationMatthew Leingang
 
Lesson 7: Limits at Infinity
Lesson 7: Limits at InfinityLesson 7: Limits at Infinity
Lesson 7: Limits at InfinityMatthew Leingang
 
Keplerian orbital elements (lecture 2)
Keplerian orbital elements (lecture 2)Keplerian orbital elements (lecture 2)
Keplerian orbital elements (lecture 2)
Olexiy Pogurelskiy
 
Lesson 5: Matrix Algebra (slides)
Lesson 5: Matrix Algebra (slides)Lesson 5: Matrix Algebra (slides)
Lesson 5: Matrix Algebra (slides)Matthew Leingang
 
Laws of artificial satellites motion (Lecture 1)
Laws of artificial satellites motion (Lecture 1)Laws of artificial satellites motion (Lecture 1)
Laws of artificial satellites motion (Lecture 1)
Olexiy Pogurelskiy
 
Lesson 6: Polar, Cylindrical, and Spherical coordinates
Lesson 6: Polar, Cylindrical, and Spherical coordinatesLesson 6: Polar, Cylindrical, and Spherical coordinates
Lesson 6: Polar, Cylindrical, and Spherical coordinates
Matthew Leingang
 
Lesson29 Intro To Difference Equations Slides
Lesson29   Intro To Difference Equations SlidesLesson29   Intro To Difference Equations Slides
Lesson29 Intro To Difference Equations Slides
Matthew Leingang
 

Viewers also liked (20)

Linear algebra
Linear algebra Linear algebra
Linear algebra
 
Lesson 3: The limit of a function
Lesson 3: The limit of a functionLesson 3: The limit of a function
Lesson 3: The limit of a function
 
Lesson 4: Calculating Limits
Lesson 4: Calculating LimitsLesson 4: Calculating Limits
Lesson 4: Calculating Limits
 
Lesson30 First Order Difference Equations Handout
Lesson30   First Order Difference Equations HandoutLesson30   First Order Difference Equations Handout
Lesson30 First Order Difference Equations Handout
 
Lesson 8: Determinants III
Lesson 8: Determinants IIILesson 8: Determinants III
Lesson 8: Determinants III
 
Lesson02 Vectors And Matrices Slides
Lesson02   Vectors And Matrices SlidesLesson02   Vectors And Matrices Slides
Lesson02 Vectors And Matrices Slides
 
Lesson 4 - Calculating Limits (Slides+Notes)
Lesson 4 - Calculating Limits (Slides+Notes)Lesson 4 - Calculating Limits (Slides+Notes)
Lesson 4 - Calculating Limits (Slides+Notes)
 
Lesson31 Higher Dimensional First Order Difference Equations Slides
Lesson31   Higher Dimensional First Order Difference Equations SlidesLesson31   Higher Dimensional First Order Difference Equations Slides
Lesson31 Higher Dimensional First Order Difference Equations Slides
 
Lesson 4: Lines and Planes (slides + notes)
Lesson 4: Lines and Planes (slides + notes)Lesson 4: Lines and Planes (slides + notes)
Lesson 4: Lines and Planes (slides + notes)
 
Lesson 6 - Introduction To Determinants (Slides+Notes)
Lesson 6 - Introduction To  Determinants (Slides+Notes)Lesson 6 - Introduction To  Determinants (Slides+Notes)
Lesson 6 - Introduction To Determinants (Slides+Notes)
 
Lesson30 First Order Difference Equations Slides
Lesson30   First Order Difference Equations SlidesLesson30   First Order Difference Equations Slides
Lesson30 First Order Difference Equations Slides
 
Lesson 1: Systems of Linear Equations (slides)
Lesson 1: Systems of Linear Equations (slides)Lesson 1: Systems of Linear Equations (slides)
Lesson 1: Systems of Linear Equations (slides)
 
Lesson32 Second Order Difference Equations Slides
Lesson32   Second Order Difference Equations SlidesLesson32   Second Order Difference Equations Slides
Lesson32 Second Order Difference Equations Slides
 
Lesson 9: Gaussian Elimination
Lesson 9: Gaussian EliminationLesson 9: Gaussian Elimination
Lesson 9: Gaussian Elimination
 
Lesson 7: Limits at Infinity
Lesson 7: Limits at InfinityLesson 7: Limits at Infinity
Lesson 7: Limits at Infinity
 
Keplerian orbital elements (lecture 2)
Keplerian orbital elements (lecture 2)Keplerian orbital elements (lecture 2)
Keplerian orbital elements (lecture 2)
 
Lesson 5: Matrix Algebra (slides)
Lesson 5: Matrix Algebra (slides)Lesson 5: Matrix Algebra (slides)
Lesson 5: Matrix Algebra (slides)
 
Laws of artificial satellites motion (Lecture 1)
Laws of artificial satellites motion (Lecture 1)Laws of artificial satellites motion (Lecture 1)
Laws of artificial satellites motion (Lecture 1)
 
Lesson 6: Polar, Cylindrical, and Spherical coordinates
Lesson 6: Polar, Cylindrical, and Spherical coordinatesLesson 6: Polar, Cylindrical, and Spherical coordinates
Lesson 6: Polar, Cylindrical, and Spherical coordinates
 
Lesson29 Intro To Difference Equations Slides
Lesson29   Intro To Difference Equations SlidesLesson29   Intro To Difference Equations Slides
Lesson29 Intro To Difference Equations Slides
 

Similar to Lesson 7: Determinants II

Higher nov 2008_p1old
Higher nov 2008_p1oldHigher nov 2008_p1old
Higher nov 2008_p1oldybamary
 
Analysis sequences and bounded sequences
Analysis sequences and bounded sequencesAnalysis sequences and bounded sequences
Analysis sequences and bounded sequencesSANDEEP VISHANG DAGAR
 
Chapter 6 exponents and surds
Chapter 6 exponents and surdsChapter 6 exponents and surds
Chapter 6 exponents and surds
Sarah Sue Calbio
 
001 matrices and_determinants
001 matrices and_determinants001 matrices and_determinants
001 matrices and_determinantsphysics101
 
Calculus And Its Applications 10th Edition Bittinger Solutions Manual
Calculus And Its Applications 10th Edition Bittinger Solutions ManualCalculus And Its Applications 10th Edition Bittinger Solutions Manual
Calculus And Its Applications 10th Edition Bittinger Solutions Manual
fujumazaja
 
Business mathametics and statistics b.com ii semester (2)
Business mathametics and statistics b.com ii semester (2)Business mathametics and statistics b.com ii semester (2)
Business mathametics and statistics b.com ii semester (2)
shamimakamili
 
Matrix2 english
Matrix2 englishMatrix2 english
Matrix2 english
Alfia Magfirona
 
Some New Prime Graphs
Some New Prime GraphsSome New Prime Graphs
Algebra unit 9.1
Algebra unit 9.1Algebra unit 9.1
Algebra unit 9.1
Mark Ryder
 
Determinants
DeterminantsDeterminants
Determinants
Joey Valdriz
 
2018 mtap for g10 with answers
2018 mtap for g10 with answers2018 mtap for g10 with answers
2018 mtap for g10 with answers
Jashey Dee
 
factoring
factoringfactoring
factoring
Harish Sahu
 
Semana 30 series álgebra uni ccesa007
Semana 30 series  álgebra uni ccesa007Semana 30 series  álgebra uni ccesa007
Semana 30 series álgebra uni ccesa007
Demetrio Ccesa Rayme
 
Determinants
DeterminantsDeterminants
Determinants
Scholars Learning
 

Similar to Lesson 7: Determinants II (20)

Determinants
DeterminantsDeterminants
Determinants
 
Cofactors, Applications
Cofactors, ApplicationsCofactors, Applications
Cofactors, Applications
 
Lemh104
Lemh104Lemh104
Lemh104
 
Higher nov 2008_p1old
Higher nov 2008_p1oldHigher nov 2008_p1old
Higher nov 2008_p1old
 
Analysis sequences and bounded sequences
Analysis sequences and bounded sequencesAnalysis sequences and bounded sequences
Analysis sequences and bounded sequences
 
Chapter 6 exponents and surds
Chapter 6 exponents and surdsChapter 6 exponents and surds
Chapter 6 exponents and surds
 
001 matrices and_determinants
001 matrices and_determinants001 matrices and_determinants
001 matrices and_determinants
 
Calculus And Its Applications 10th Edition Bittinger Solutions Manual
Calculus And Its Applications 10th Edition Bittinger Solutions ManualCalculus And Its Applications 10th Edition Bittinger Solutions Manual
Calculus And Its Applications 10th Edition Bittinger Solutions Manual
 
Business mathametics and statistics b.com ii semester (2)
Business mathametics and statistics b.com ii semester (2)Business mathametics and statistics b.com ii semester (2)
Business mathametics and statistics b.com ii semester (2)
 
Matrix2 english
Matrix2 englishMatrix2 english
Matrix2 english
 
Some New Prime Graphs
Some New Prime GraphsSome New Prime Graphs
Some New Prime Graphs
 
Algebra unit 9.1
Algebra unit 9.1Algebra unit 9.1
Algebra unit 9.1
 
Determinants
DeterminantsDeterminants
Determinants
 
Em01 ba
Em01 baEm01 ba
Em01 ba
 
2018 mtap for g10 with answers
2018 mtap for g10 with answers2018 mtap for g10 with answers
2018 mtap for g10 with answers
 
Em04 il
Em04 ilEm04 il
Em04 il
 
factoring
factoringfactoring
factoring
 
Presntation11
Presntation11Presntation11
Presntation11
 
Semana 30 series álgebra uni ccesa007
Semana 30 series  álgebra uni ccesa007Semana 30 series  álgebra uni ccesa007
Semana 30 series álgebra uni ccesa007
 
Determinants
DeterminantsDeterminants
Determinants
 

More from Matthew Leingang

Making Lesson Plans
Making Lesson PlansMaking Lesson Plans
Making Lesson Plans
Matthew Leingang
 
Streamlining assessment, feedback, and archival with auto-multiple-choice
Streamlining assessment, feedback, and archival with auto-multiple-choiceStreamlining assessment, feedback, and archival with auto-multiple-choice
Streamlining assessment, feedback, and archival with auto-multiple-choice
Matthew Leingang
 
Electronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsElectronic Grading of Paper Assessments
Electronic Grading of Paper Assessments
Matthew Leingang
 
Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)
Matthew Leingang
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
Matthew Leingang
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
Matthew Leingang
 
Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)
Matthew Leingang
 
Lesson 26: The Fundamental Theorem of Calculus (handout)
Lesson 26: The Fundamental Theorem of Calculus (handout)Lesson 26: The Fundamental Theorem of Calculus (handout)
Lesson 26: The Fundamental Theorem of Calculus (handout)
Matthew Leingang
 
Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)
Matthew Leingang
 
Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)
Matthew Leingang
 
Lesson 24: Areas and Distances, The Definite Integral (handout)
Lesson 24: Areas and Distances, The Definite Integral (handout)Lesson 24: Areas and Distances, The Definite Integral (handout)
Lesson 24: Areas and Distances, The Definite Integral (handout)
Matthew Leingang
 
Lesson 24: Areas and Distances, The Definite Integral (slides)
Lesson 24: Areas and Distances, The Definite Integral (slides)Lesson 24: Areas and Distances, The Definite Integral (slides)
Lesson 24: Areas and Distances, The Definite Integral (slides)
Matthew Leingang
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
Matthew Leingang
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
Matthew Leingang
 
Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)
Matthew Leingang
 
Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)
Matthew Leingang
 
Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)
Matthew Leingang
 
Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)
Matthew Leingang
 
Lesson 20: Derivatives and the Shapes of Curves (slides)
Lesson 20: Derivatives and the Shapes of Curves (slides)Lesson 20: Derivatives and the Shapes of Curves (slides)
Lesson 20: Derivatives and the Shapes of Curves (slides)
Matthew Leingang
 
Lesson 20: Derivatives and the Shapes of Curves (handout)
Lesson 20: Derivatives and the Shapes of Curves (handout)Lesson 20: Derivatives and the Shapes of Curves (handout)
Lesson 20: Derivatives and the Shapes of Curves (handout)
Matthew Leingang
 

More from Matthew Leingang (20)

Making Lesson Plans
Making Lesson PlansMaking Lesson Plans
Making Lesson Plans
 
Streamlining assessment, feedback, and archival with auto-multiple-choice
Streamlining assessment, feedback, and archival with auto-multiple-choiceStreamlining assessment, feedback, and archival with auto-multiple-choice
Streamlining assessment, feedback, and archival with auto-multiple-choice
 
Electronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsElectronic Grading of Paper Assessments
Electronic Grading of Paper Assessments
 
Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
 
Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)
 
Lesson 26: The Fundamental Theorem of Calculus (handout)
Lesson 26: The Fundamental Theorem of Calculus (handout)Lesson 26: The Fundamental Theorem of Calculus (handout)
Lesson 26: The Fundamental Theorem of Calculus (handout)
 
Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)
 
Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)
 
Lesson 24: Areas and Distances, The Definite Integral (handout)
Lesson 24: Areas and Distances, The Definite Integral (handout)Lesson 24: Areas and Distances, The Definite Integral (handout)
Lesson 24: Areas and Distances, The Definite Integral (handout)
 
Lesson 24: Areas and Distances, The Definite Integral (slides)
Lesson 24: Areas and Distances, The Definite Integral (slides)Lesson 24: Areas and Distances, The Definite Integral (slides)
Lesson 24: Areas and Distances, The Definite Integral (slides)
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)
 
Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)
 
Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)
 
Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)
 
Lesson 20: Derivatives and the Shapes of Curves (slides)
Lesson 20: Derivatives and the Shapes of Curves (slides)Lesson 20: Derivatives and the Shapes of Curves (slides)
Lesson 20: Derivatives and the Shapes of Curves (slides)
 
Lesson 20: Derivatives and the Shapes of Curves (handout)
Lesson 20: Derivatives and the Shapes of Curves (handout)Lesson 20: Derivatives and the Shapes of Curves (handout)
Lesson 20: Derivatives and the Shapes of Curves (handout)
 

Recently uploaded

The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
Pierluigi Pugliese
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 

Recently uploaded (20)

The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 

Lesson 7: Determinants II

  • 1. Lesson 6 Determinants (Section 13.3–5) Math 20 October 3, 2007 Announcements Thomas Schelling at IOP (79 JFK Street), Wednesday 6pm Problem Set 3 is on the course web site. Due October 10 Sign up for conference times on course website My office hours: Mondays 1–2, Tuesdays 3–4, Wednesdays 1–3 (SC 323)
  • 2. The determinant Definition a11 a12 The determinant of a 2 × 2 matrix A = is the number a21 a22 a11 a12 = a11 a22 − a21 a12 a21 a22
  • 3.
  • 4. The determinant Definition The determinant of a 3 × 3 matrix is a11 a12 a13 a21 a22 a23 = a11 a22 a33 − a11 a23 a32 − a21 a12 a33 a31 a32 a33 + a21 a13 a32 + a31 a12 a23 − a31 a22 a13
  • 5. The 3 × 3 determinant by “sudoku” patterns a11 a22 a33 − a11 a23 a32 + a12 a23 a31 − a12 a21 a33 + a13 a22 a31 − a13 a21 a32
  • 6.
  • 7. The 3 × 3 determinant by “sudoku” patterns a11 a22 a33 − a11 a23 a32 + a12 a23 a31 − a12 a21 a33 + a13 a22 a31 − a13 a21 a32 Observations These are all the ways we can put three dots, one in each row and column The sign is positive if the number of “up” lines is even, negative if it’s odd
  • 8.
  • 9. The 3 × 3 determinant by cofactors We can compute a 3 × 3 determinant in terms of smaller determinants: a11 a12 a13 a21 a22 a23 = a11 a22 a33 − a11 a23 a32 + a12 a31 a23 a31 a32 a33 − a12 a21 a33 + a13 a21 a32 − a13 a31 a22 a22 a23 a a a a − a12 21 23 + a13 21 22 = a11 a32 a33 a31 a33 a31 a32
  • 10.
  • 11. Example Example 12 3 Compute 2 −3 2 3 1 −1
  • 12. Example Example 12 3 Compute 2 −3 2 3 1 −1 Solution 50.
  • 13. Determinants of n × n matrices by patterns Definition Let A = (aij )n×n be a matrix. The determinant of A is a sum of all products of n elements of the matrix, where each product takes exactly one entry from each row and column.
  • 14. Determinants of n × n matrices by patterns Definition Let A = (aij )n×n be a matrix. The determinant of A is a sum of all products of n elements of the matrix, where each product takes exactly one entry from each row and column. The sign of each product is given by (−1)σ , where σ is the number of upwards lines used when all the entries in a pattern are connected.
  • 15. 4 × 4 sudoku patterns − − − + + + − − − + + + − − − + + + − − − + + +
  • 16. Determinants of n × n matrices by cofactors Definition Let A = (aij )n×n be a matrix. The (i, j)-minor of A is the matrix obtained from A by deleting the ith row and j column. This matrix has dimensions (n − 1) × (n − 1). The (i, j) cofactor of A is the determinant of the (i, j) minor times (−1)i+j .
  • 17. The 3 × 3 determinant by cofactors We can compute a 3 × 3 determinant in terms of smaller determinants: a11 a12 a13 a21 a22 a23 = a11 a22 a33 − a11 a23 a32 + a12 a31 a23 a31 a32 a33 − a12 a21 a33 + a13 a21 a32 − a13 a31 a22 a22 a23 a a a a − a12 21 23 + a13 21 22 = a11 a32 a33 a31 a33 a31 a32
  • 18. The 3 × 3 determinant by cofactors We can compute a 3 × 3 determinant in terms of smaller determinants: a11 a12 a13 a21 a22 a23 = a11 a22 a33 − a11 a23 a32 + a12 a31 a23 a31 a32 a33 − a12 a21 a33 + a13 a21 a32 − a13 a31 a22 a22 a23 a a a a − a12 21 23 + a13 21 22 = a11 a32 a33 a31 a33 a31 a32 = a11 C11 + a12 C12 + a13 C13
  • 19. Fact The determinant of A = (aij )n×n is the sum a11 C11 + a12 C12 + · · · + a1n C1n