• Study Resource
  • Explore Categories
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Project synopsis on IOT BASED LED MATRIX Under taken
Project synopsis on IOT BASED LED MATRIX Under taken

... supply is required as it is supplied from the USB port. But when it is placed inside the enclosure with other display modules, its 3.3V pin should be connected to the 3.3V pin of the dual power supply board. Following figure shows the connections between the power supply, NodeMCU, and LED matrix pan ...
Introduction Initializations A Matrix and Its Jordan Form
Introduction Initializations A Matrix and Its Jordan Form

Section 7.1
Section 7.1

... (ui, uj ) = uT i uj = δi,j , ...
Matrices - what is a matrix
Matrices - what is a matrix

... A diagonal matrix is a square matrix with zeros everywhere except possibly on the diagonal which runs from the top left to the bottom right. This diagonal is called the leading diagonal. Matrix D ...
Matrix Quick Study Guide
Matrix Quick Study Guide

Möbius Transformations
Möbius Transformations

Math F412: Homework 7 Solutions March 20, 2013 1. Suppose V is
Math F412: Homework 7 Solutions March 20, 2013 1. Suppose V is

Lecture 16 - Math TAMU
Lecture 16 - Math TAMU

steffan09.doc
steffan09.doc

Matrices with a strictly dominant eigenvalue
Matrices with a strictly dominant eigenvalue

... For obtaining bounds for the discretely strictly dominant eigenvalue of a non-negative square matrix satisfying condition (R) the following well-known result is useful (for the sake of completeness we provide a short proof, for similar results cf. [1]): Lemma 2.1 Every real eigenvalue of a real squa ...
Solutions - UCSB Math
Solutions - UCSB Math

... and since these two vectors are linearly independent, they are a basis for the image. (d) We calculate Im(T ) first. Again it will be the column space of the standard matrix of T . So Im(T ) = span{(0, 1, 0), (0, 0, 1), (1, 0, 0)} = R3 , and these three vectors are linearly independent (in fact, the ...
Linear Algebraic Equations System
Linear Algebraic Equations System

Linear Algebra and TI 89
Linear Algebra and TI 89

3.4 Day 2 Similar Matrices
3.4 Day 2 Similar Matrices

lecture7_2012
lecture7_2012

Graphs as matrices and PageRank
Graphs as matrices and PageRank

Homework assignment 2 p 21 Exercise 2. Let Solution: Solution: Let
Homework assignment 2 p 21 Exercise 2. Let Solution: Solution: Let

3. Matrices Often if one starts with a coordinate system (x1,x2,x3
3. Matrices Often if one starts with a coordinate system (x1,x2,x3

Math 2245 - College of DuPage
Math 2245 - College of DuPage

PROBLEM SET 1 Problem 1. Let V denote the set of all pairs of real
PROBLEM SET 1 Problem 1. Let V denote the set of all pairs of real

5.6 Using the inverse matrix to solve equations
5.6 Using the inverse matrix to solve equations

Find the standard matrix of the gi
Find the standard matrix of the gi

Homework 8
Homework 8

Linear algebra - Practice problems for midterm 2 1. Let T : P 2 → P3
Linear algebra - Practice problems for midterm 2 1. Let T : P 2 → P3

(January 14, 2009) [16.1] Let p be the smallest prime dividing the
(January 14, 2009) [16.1] Let p be the smallest prime dividing the

... subspace. Prove that the minimal polynomial of T on W is a divisor of the minimal polynomial of T on V . Define a natural action of T on the quotient V /W , and prove that the minimal polynomial of T on V /W is a divisor of the minimal polynomial of T on V . Let f (x) be the minimal polynomial of T ...
< 1 ... 79 80 81 82 83 84 85 86 87 ... 98 >

Jordan normal form



In linear algebra, a Jordan normal form (often called Jordan canonical form)of a linear operator on a finite-dimensional vector space is an upper triangular matrix of a particular form called a Jordan matrix, representing the operator with respect to some basis. Such matrix has each non-zero off-diagonal entry equal to 1, immediately above the main diagonal (on the superdiagonal), and with identical diagonal entries to the left and below them. If the vector space is over a field K, then a basis with respect to which the matrix has the required form exists if and only if all eigenvalues of the matrix lie in K, or equivalently if the characteristic polynomial of the operator splits into linear factors over K. This condition is always satisfied if K is the field of complex numbers. The diagonal entries of the normal form are the eigenvalues of the operator, with the number of times each one occurs being given by its algebraic multiplicity.If the operator is originally given by a square matrix M, then its Jordan normal form is also called the Jordan normal form of M. Any square matrix has a Jordan normal form if the field of coefficients is extended to one containing all the eigenvalues of the matrix. In spite of its name, the normal form for a given M is not entirely unique, as it is a block diagonal matrix formed of Jordan blocks, the order of which is not fixed; it is conventional to group blocks for the same eigenvalue together, but no ordering is imposed among the eigenvalues, nor among the blocks for a given eigenvalue, although the latter could for instance be ordered by weakly decreasing size.The Jordan–Chevalley decomposition is particularly simple with respect to a basis for which the operator takes its Jordan normal form. The diagonal form for diagonalizable matrices, for instance normal matrices, is a special case of the Jordan normal form.The Jordan normal form is named after Camille Jordan.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report