SlideShare a Scribd company logo
1 of 15
Matrix
Exponential
Definition from Taylor series
The natural way of defining the exponential of a
matrix is to go back to the exponential
function ex and find a definition which is easy to
extend to matrices. Indeed, we know that the Taylor
polynomials
converges pointwise to ex and uniformly
whenever x is bounded. These algebraic
polynomials may help us in defining the
exponential of a matrix. Indeed, consider a
square matrix A and define the sequence of
matrices
When n gets large, this sequence of matrices get
closer and closer to a certain matrix. This is not
easy to show; it relies on the conclusion
on ex above. We write this limit matrix as eA.
This notation is natural due to the properties of
this matrix. Thus we have the formula
One may also write this in series
notation as
Examples
Consider the diagonal
matrix
• It is easy to check that
• for . Hence we have
Using the above properties of the
exponential function, we deduce that
Diagonal Matrix
for a diagonal matrix A, eA can always be obtained
by replacing the entries of A (on the diagonal) by
their exponentials. Now let B be a matrix similar
to A. As explained before, then there exists an
invertible matrix P such that
B = P-1AP.
Moreover, we have
Bn = P-1AnP
Another example of 3x3
Consider the matrix
This matrix is upper-triangular. Note that all the
entries on the diagonal are 0. These types of
matrices have a nice property. Let us discuss this
for this example. First, note that
In this case, we have
In general, let A be a square upper-triangular
matrix of order n. Assume that all its entries on
the diagonal are equal to 0. Then we have
Such matrix is called
a nilpotent matrix. In this
case, we have
Matrix Exponential

More Related Content

What's hot

Matrix and Determinants
Matrix and DeterminantsMatrix and Determinants
Matrix and DeterminantsAarjavPinara
 
Eigen valus n vectors
Eigen valus n vectors Eigen valus n vectors
Eigen valus n vectors vadher manish
 
Graphing Linear Functions
Graphing Linear FunctionsGraphing Linear Functions
Graphing Linear Functionshisema01
 
Solving linear inequalities
Solving linear inequalitiesSolving linear inequalities
Solving linear inequalitiesPLeach
 
Presentación de metodo de eliminación gaussiana
Presentación de metodo de eliminación gaussianaPresentación de metodo de eliminación gaussiana
Presentación de metodo de eliminación gaussianaFernando Alzate
 
Exponential functions
Exponential functionsExponential functions
Exponential functionsRon Eick
 
Clasificacion de matrices y operaciones entre matrices(suma, producto de una ...
Clasificacion de matrices y operaciones entre matrices(suma, producto de una ...Clasificacion de matrices y operaciones entre matrices(suma, producto de una ...
Clasificacion de matrices y operaciones entre matrices(suma, producto de una ...Carlita Vaca
 
Algebra Solving Open Sentences Involving Absolute Value
Algebra  Solving Open Sentences Involving Absolute ValueAlgebra  Solving Open Sentences Involving Absolute Value
Algebra Solving Open Sentences Involving Absolute Valueguestd1dc2e
 
Application of integral calculus
Application of integral calculusApplication of integral calculus
Application of integral calculusHabibur Rahman
 
Discrete Structure Mathematics lecture 1
Discrete Structure Mathematics lecture 1Discrete Structure Mathematics lecture 1
Discrete Structure Mathematics lecture 1Amr Rashed
 

What's hot (15)

Systems of equations
Systems of equationsSystems of equations
Systems of equations
 
Matrix and Determinants
Matrix and DeterminantsMatrix and Determinants
Matrix and Determinants
 
Eigen valus n vectors
Eigen valus n vectors Eigen valus n vectors
Eigen valus n vectors
 
Graphing Linear Functions
Graphing Linear FunctionsGraphing Linear Functions
Graphing Linear Functions
 
Solving linear inequalities
Solving linear inequalitiesSolving linear inequalities
Solving linear inequalities
 
The basic concept of sets
The basic concept of setsThe basic concept of sets
The basic concept of sets
 
Derivadas sucesivas
Derivadas sucesivasDerivadas sucesivas
Derivadas sucesivas
 
Presentación de metodo de eliminación gaussiana
Presentación de metodo de eliminación gaussianaPresentación de metodo de eliminación gaussiana
Presentación de metodo de eliminación gaussiana
 
Exponential functions
Exponential functionsExponential functions
Exponential functions
 
Clasificacion de matrices y operaciones entre matrices(suma, producto de una ...
Clasificacion de matrices y operaciones entre matrices(suma, producto de una ...Clasificacion de matrices y operaciones entre matrices(suma, producto de una ...
Clasificacion de matrices y operaciones entre matrices(suma, producto de una ...
 
Introduction to matices
Introduction to maticesIntroduction to matices
Introduction to matices
 
Algebra Solving Open Sentences Involving Absolute Value
Algebra  Solving Open Sentences Involving Absolute ValueAlgebra  Solving Open Sentences Involving Absolute Value
Algebra Solving Open Sentences Involving Absolute Value
 
Systems of 3 Equations in 3 Variables
Systems of 3 Equations in 3 VariablesSystems of 3 Equations in 3 Variables
Systems of 3 Equations in 3 Variables
 
Application of integral calculus
Application of integral calculusApplication of integral calculus
Application of integral calculus
 
Discrete Structure Mathematics lecture 1
Discrete Structure Mathematics lecture 1Discrete Structure Mathematics lecture 1
Discrete Structure Mathematics lecture 1
 

Similar to Matrix Exponential

Module 1 Theory of Matrices.pdf
Module 1 Theory of Matrices.pdfModule 1 Theory of Matrices.pdf
Module 1 Theory of Matrices.pdfPrathamPatel560716
 
Linear_Algebra_final.pdf
Linear_Algebra_final.pdfLinear_Algebra_final.pdf
Linear_Algebra_final.pdfRohitAnand125
 
MATHEMATICS Lecture lesson helpful 12.pptx
MATHEMATICS Lecture lesson helpful 12.pptxMATHEMATICS Lecture lesson helpful 12.pptx
MATHEMATICS Lecture lesson helpful 12.pptxPangalanTotoo
 
Definitions matrices y determinantes fula 2010 english subir
Definitions matrices y determinantes   fula 2010  english subirDefinitions matrices y determinantes   fula 2010  english subir
Definitions matrices y determinantes fula 2010 english subirHernanFula
 
Tutorial on EM algorithm – Part 1
Tutorial on EM algorithm – Part 1Tutorial on EM algorithm – Part 1
Tutorial on EM algorithm – Part 1Loc Nguyen
 
Eigenvectors & Eigenvalues: The Road to Diagonalisation
Eigenvectors & Eigenvalues: The Road to DiagonalisationEigenvectors & Eigenvalues: The Road to Diagonalisation
Eigenvectors & Eigenvalues: The Road to DiagonalisationChristopher Gratton
 
Introduction to Business Mathematics
Introduction to Business MathematicsIntroduction to Business Mathematics
Introduction to Business MathematicsZunair Bhatti
 
Fundamentals of Machine Learning.pptx
Fundamentals of Machine Learning.pptxFundamentals of Machine Learning.pptx
Fundamentals of Machine Learning.pptxWiamFADEL
 
Eigen-Decomposition: Eigenvalues and Eigenvectors.pdf
Eigen-Decomposition: Eigenvalues and Eigenvectors.pdfEigen-Decomposition: Eigenvalues and Eigenvectors.pdf
Eigen-Decomposition: Eigenvalues and Eigenvectors.pdfNehaVerma933923
 
Positive matrix by sarmad baloch
Positive matrix by sarmad balochPositive matrix by sarmad baloch
Positive matrix by sarmad balochSarmad Baloch
 
Eigen values and Eigen vectors ppt world
Eigen values and Eigen vectors ppt worldEigen values and Eigen vectors ppt world
Eigen values and Eigen vectors ppt worldraykoustav145
 
Quantum algorithm for solving linear systems of equations
 Quantum algorithm for solving linear systems of equations Quantum algorithm for solving linear systems of equations
Quantum algorithm for solving linear systems of equationsXequeMateShannon
 

Similar to Matrix Exponential (20)

Determinants3
Determinants3Determinants3
Determinants3
 
Module 1 Theory of Matrices.pdf
Module 1 Theory of Matrices.pdfModule 1 Theory of Matrices.pdf
Module 1 Theory of Matrices.pdf
 
Linear_Algebra_final.pdf
Linear_Algebra_final.pdfLinear_Algebra_final.pdf
Linear_Algebra_final.pdf
 
MATHEMATICS Lecture lesson helpful 12.pptx
MATHEMATICS Lecture lesson helpful 12.pptxMATHEMATICS Lecture lesson helpful 12.pptx
MATHEMATICS Lecture lesson helpful 12.pptx
 
Definitions matrices y determinantes fula 2010 english subir
Definitions matrices y determinantes   fula 2010  english subirDefinitions matrices y determinantes   fula 2010  english subir
Definitions matrices y determinantes fula 2010 english subir
 
Tutorial on EM algorithm – Part 1
Tutorial on EM algorithm – Part 1Tutorial on EM algorithm – Part 1
Tutorial on EM algorithm – Part 1
 
TENSOR .pptx
TENSOR .pptxTENSOR .pptx
TENSOR .pptx
 
Eigenvectors & Eigenvalues: The Road to Diagonalisation
Eigenvectors & Eigenvalues: The Road to DiagonalisationEigenvectors & Eigenvalues: The Road to Diagonalisation
Eigenvectors & Eigenvalues: The Road to Diagonalisation
 
Introduction to Business Mathematics
Introduction to Business MathematicsIntroduction to Business Mathematics
Introduction to Business Mathematics
 
Fundamentals of Machine Learning.pptx
Fundamentals of Machine Learning.pptxFundamentals of Machine Learning.pptx
Fundamentals of Machine Learning.pptx
 
1640 vector-maths
1640 vector-maths1640 vector-maths
1640 vector-maths
 
4852014.pptx
4852014.pptx4852014.pptx
4852014.pptx
 
Eigen-Decomposition: Eigenvalues and Eigenvectors.pdf
Eigen-Decomposition: Eigenvalues and Eigenvectors.pdfEigen-Decomposition: Eigenvalues and Eigenvectors.pdf
Eigen-Decomposition: Eigenvalues and Eigenvectors.pdf
 
Positive matrix by sarmad baloch
Positive matrix by sarmad balochPositive matrix by sarmad baloch
Positive matrix by sarmad baloch
 
Linear Algebra
Linear AlgebraLinear Algebra
Linear Algebra
 
Presentation.pptx
Presentation.pptxPresentation.pptx
Presentation.pptx
 
maths1.pptx
maths1.pptxmaths1.pptx
maths1.pptx
 
Eigen values and Eigen vectors ppt world
Eigen values and Eigen vectors ppt worldEigen values and Eigen vectors ppt world
Eigen values and Eigen vectors ppt world
 
regression.pptx
regression.pptxregression.pptx
regression.pptx
 
Quantum algorithm for solving linear systems of equations
 Quantum algorithm for solving linear systems of equations Quantum algorithm for solving linear systems of equations
Quantum algorithm for solving linear systems of equations
 

Matrix Exponential

  • 2. Definition from Taylor series The natural way of defining the exponential of a matrix is to go back to the exponential function ex and find a definition which is easy to extend to matrices. Indeed, we know that the Taylor polynomials
  • 3. converges pointwise to ex and uniformly whenever x is bounded. These algebraic polynomials may help us in defining the exponential of a matrix. Indeed, consider a square matrix A and define the sequence of matrices
  • 4. When n gets large, this sequence of matrices get closer and closer to a certain matrix. This is not easy to show; it relies on the conclusion on ex above. We write this limit matrix as eA. This notation is natural due to the properties of this matrix. Thus we have the formula
  • 5. One may also write this in series notation as
  • 8. • It is easy to check that • for . Hence we have
  • 9. Using the above properties of the exponential function, we deduce that
  • 10. Diagonal Matrix for a diagonal matrix A, eA can always be obtained by replacing the entries of A (on the diagonal) by their exponentials. Now let B be a matrix similar to A. As explained before, then there exists an invertible matrix P such that B = P-1AP. Moreover, we have Bn = P-1AnP
  • 11.
  • 12. Another example of 3x3 Consider the matrix This matrix is upper-triangular. Note that all the entries on the diagonal are 0. These types of matrices have a nice property. Let us discuss this for this example. First, note that
  • 13. In this case, we have In general, let A be a square upper-triangular matrix of order n. Assume that all its entries on the diagonal are equal to 0. Then we have
  • 14. Such matrix is called a nilpotent matrix. In this case, we have