Matrix normal forms | Sparse matrices

Diagonal matrix

In linear algebra, a diagonal matrix is a matrix in which the entries outside the main diagonal are all zero; the term usually refers to square matrices. Elements of the main diagonal can either be zero or nonzero. An example of a 2×2 diagonal matrix is , while an example of a 3×3 diagonal matrix is. An identity matrix of any size, or any multiple of it (a ), is a diagonal matrix. A diagonal matrix is sometimes called a scaling matrix, since matrix multiplication with it results in changing scale (size). Its determinant is the product of its diagonal values. (Wikipedia).

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The Diagonalization of Matrices

This video explains the process of diagonalization of a matrix.

From playlist The Diagonalization of Matrices

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Diagonal Matrices

This video defines a diagonal matrix and then explains how to determine the inverse of a diagonal matrix (if possible) and how to raise a diagonal matrix to a power. Site: mathispower4u.com Blog: mathispower4u.wordpress.com

From playlist Introduction to Matrices and Matrix Operations

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Diagonal Matrices are Freaking Awesome

When you have a diagonal matrix, everything in linear algebra is easy Learning Objectives: 1) Solve systems, compute eigenvalues, etc for Diagonal Matrices This video is part of a Linear Algebra course taught by Dr. Trefor Bazett at the University of Cincinnati

From playlist Linear Algebra (Full Course)

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Block Diagonal Matrices

Every operator on a finite-dimensional complex vector space has a matrix (with respect to some basis of the vector space) that is a block diagonal matrix, with each block itself an upper-triangular matrix that contains only one eigenvalue on the diagonal.

From playlist Linear Algebra Done Right

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Diagonalizability

Characterizations of Diagonalizability In this video, I define the notion of diagonalizability and show what it has to do with eigenvectors. Check out my Diagonalization playlist: https://www.youtube.com/playlist?list=PLJb1qAQIrmmCSovHY6cXzPMNSuWOwd9wB Subscribe to my channel: https://

From playlist Diagonalization

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Determine the Product of a Matrix and Vector using the Diagonalization of the Matrix

This video explains how to use the diagonalization of a 2 by 2 matrix to find the product of a matrix and a vector given matrix P and D.

From playlist The Diagonalization of Matrices

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Linear Algebra - Lecture 35 - Diagonalizable Matrices

In this lecture, we discuss what it means for a square matrix to be diagonalizable. We prove the Diagonalization Theorem, which tells us exactly when a matrix is diagonalizable.

From playlist Linear Algebra Lectures

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The Identity Matrix

This video introduces the identity matrix and illustrates the properties of the identity matrix. http://mathispower4u.yolasite.com/ http://mathispower4u.wordpress.com/

From playlist Introduction to Matrices and Matrix Operations

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Math 060 Fall 2017 112217C Diagonalization Part 2

Review: the matrix representation of a matrix with respect to an eigenvector basis is a diagonal matrix of eigenvalues. Definition: diagonalizable matrix. Alternate proof of the fact that a matrix is diagonalizable iff there exists an eigenvector basis. Exercise: diagonalize a matrix.

From playlist Course 4: Linear Algebra (Fall 2017)

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Polynomials, Matrices and Pascal Arrays | Algebraic Calculus One | Wild Egg

We introduce some basic orientation towards polynomials and matrices in the context of the Pascal-type arrays that figured in our analysis of the Faulhaber polynomials and Bernoulli numbers in the previous video. The key is to observe some beautiful factorizations that occur involving diag

From playlist Algebraic Calculus One from Wild Egg

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Zero, identity, diagonal, triangular, banded matrices | Lecture 3 | Matrix Algebra for Engineers

Definition of the zero matrix, identity matrix, diagonal matrices, lower and upper triangular matrices and banded matrices. Join me on Coursera: https://www.coursera.org/learn/matrix-algebra-engineers Lecture notes at http://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf Subs

From playlist Matrix Algebra for Engineers

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11 - Matrices

Algebra 1M - international Course no. 104016 Dr. Aviv Censor Technion - International school of engineering

From playlist Algebra 1M

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Systems of Differential Equations: Diagonalization and Jordan Canonical Form

It is only possible to perfectly diagonalize certain systems of linear differential equations. For the more general cases, it is possible to "block-diagonalize" the system into what is known as Jordan Canonical Form. This video explores these various options and derives the fully general

From playlist Engineering Math: Differential Equations and Dynamical Systems

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62 - Diagonalization

Algebra 1M - international Course no. 104016 Dr. Aviv Censor Technion - International school of engineering

From playlist Algebra 1M

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Motivating Eigenvalues and Eigenvectors with Differential Equations

This video *derives* the eigenvalues and eigenvectors of a matrix "A" to solve the matrix system of equations dx/dt = A*x. Playlist: https://www.youtube.com/playlist?list=PLMrJAkhIeNNTYaOnVI3QpH7jgULnAmvPA Course Website: http://faculty.washington.edu/sbrunton/me564/ @eigensteve on Tw

From playlist Engineering Math: Differential Equations and Dynamical Systems

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Eigenspaces and Diagonal Matrices

Diagonal matrices. Eigenspaces. Conditions equivalent to diagonalizability.

From playlist Linear Algebra Done Right

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Diagonalization of matrices example | Lecture 36 | Matrix Algebra for Engineers

An example of matrix diagonalization. Join me on Coursera: https://www.coursera.org/learn/matrix-algebra-engineers Lecture notes at http://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf Subscribe to my channel: http://www.youtube.com/user/jchasnov?sub_confirmation=1

From playlist Matrix Algebra for Engineers

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Separable partial differential equation | If and only if | Characteristic polynomial | Linear algebra | Subring | Diagonalizable matrix | Spectral theorem | Block matrix | Main diagonal | Bidiagonal matrix | Identity matrix | Diagonally dominant matrix | Transformation matrix | Determinant | Singular value decomposition | Algebra (ring theory) | General linear group | Hadamard product (matrices) | Toeplitz matrix | Free module | Circulant matrix | Multiplication operator | Matrix similarity | Elementary matrix | Zero matrix | Scalar multiplication | Integral transform | Field (mathematics) | Anti-diagonal matrix | Vector (mathematics and physics) | Real number | Heat equation | Sparse matrix | Symmetric matrix | Unitary matrix | Eigenvalues and eigenvectors | Eigenfunction | Operator theory | Tridiagonal matrix | Complex number | Jordan normal form | Triangular matrix | Matrix multiplication | Backpropagation | Matrix (mathematics) | Fourier transform | Invertible matrix