Little Linear Algebra Contents: Linear vector spaces Matrices Special Matrices Matrix & vector Norms.

Slides:



Advertisements
Similar presentations
2.3 Modeling Real World Data with Matrices
Advertisements

4.1 Introduction to Matrices
Section 13-4: Matrix Multiplication
Matrices A matrix is a rectangular array of quantities (numbers, expressions or function), arranged in m rows and n columns x 3y.
Maths for Computer Graphics
Matrix Operations. Matrix Notation Example Equality of Matrices.
1 Neural Nets Applications Vectors and Matrices. 2/27 Outline 1. Definition of Vectors 2. Operations on Vectors 3. Linear Dependence of Vectors 4. Definition.
Group members: M.Shozib, Hasnain Khan, M.Awais, Shahid Rafiq Asad ali.
Matrices The Basics Vocabulary and basic concepts.
Arithmetic Operations on Matrices. 1. Definition of Matrix 2. Column, Row and Square Matrix 3. Addition and Subtraction of Matrices 4. Multiplying Row.
CE 311 K - Introduction to Computer Methods Daene C. McKinney
A matrix having a single row is called a row matrix. e.g.,
Chapter 1: Matrices Definition 1: A matrix is a rectangular array of numbers arranged in horizontal rows and vertical columns. EXAMPLE:
Linear Algebra Review 1 CS479/679 Pattern Recognition Dr. George Bebis.
Presentation on Matrices and some special matrices In partial fulfillment of the subject Vector calculus and linear algebra ( ) Submitted by: Agarwal.
Elementary Operations of Matrix
Review of Matrices Or A Fast Introduction.
Statistics and Linear Algebra (the real thing). Vector A vector is a rectangular arrangement of number in several rows and one column. A vector is denoted.
Overview Definitions Basic matrix operations (+, -, x) Determinants and inverses.
Matrices Addition & Subtraction Scalar Multiplication & Multiplication Determinants Inverses Solving Systems – 2x2 & 3x3 Cramer’s Rule.
10.4 Matrix Algebra 1.Matrix Notation 2.Sum/Difference of 2 matrices 3.Scalar multiple 4.Product of 2 matrices 5.Identity Matrix 6.Inverse of a matrix.
Algebra 3: Section 5.5 Objectives of this Section Find the Sum and Difference of Two Matrices Find Scalar Multiples of a Matrix Find the Product of Two.
Matrices. Definitions  A matrix is an m x n array of scalars, arranged conceptually as m rows and n columns.  m is referred to as the row dimension.
Linear Algebra 1.Basic concepts 2.Matrix operations.
4.4 Identify and Inverse Matrices Algebra 2. Learning Target I can find and use inverse matrix.
Meeting 18 Matrix Operations. Matrix If A is an m x n matrix - that is, a matrix with m rows and n columns – then the scalar entry in the i th row and.
Matrices: Simplifying Algebraic Expressions Combining Like Terms & Distributive Property.
Review of Matrix Operations Vector: a sequence of elements (the order is important) e.g., x = (2, 1) denotes a vector length = sqrt(2*2+1*1) orientation.
Unit 3 Matrix Arithmetic IT Disicipline ITD 1111 Discrete Mathematics & Statistics STDTLP 1 Unit 3 Matrix Arithmetic.
Algebra Matrix Operations. Definition Matrix-A rectangular arrangement of numbers in rows and columns Dimensions- number of rows then columns Entries-
MATRICES Operations with Matrices Properties of Matrix Operations
MATRIX A set of numbers arranged in rows and columns enclosed in round or square brackets is called a matrix. The order of a matrix gives the number of.
Linear System of Simultaneous Equations Warm UP First precinct: 6 arrests last week equally divided between felonies and misdemeanors. Second precinct:
Chapter 4 Vector Spaces Linear Algebra. Ch04_2 Definition 1: ……………………………………………………………………. The elements in R n called …………. 4.1 The vector Space R n Addition.
Chapter 1 Section 1.6 Algebraic Properties of Matrix Operations.
Matrices. Variety of engineering problems lead to the need to solve systems of linear equations matrixcolumn vectors.
13.3 Product of a Scalar and a Matrix.  In matrix algebra, a real number is often called a.  To multiply a matrix by a scalar, you multiply each entry.
Vectors, Matrices and their Products Hung-yi Lee.
2.1 Matrix Operations 2. Matrix Algebra. j -th column i -th row Diagonal entries Diagonal matrix : a square matrix whose nondiagonal entries are zero.
Matrices. Matrix A matrix is an ordered rectangular array of numbers. The entry in the i th row and j th column is denoted by a ij. Ex. 4 Columns 3 Rows.
MTH108 Business Math I Lecture 20.
Matrices and Vector Concepts
Matrices and Matrix Operations
Lesson 43: Working with Matrices: Multiplication
12-1 Organizing Data Using Matrices
ECE 1304 Introduction to Electrical and Computer Engineering
Christmas Packets are due on Friday!!!
Matrices Rules & Operations.
Matrix Operations Free powerpoints at
Linear Algebra review (optional)
Linear Algebra Lecture 2.
1.5 Matricies.
Matrix Operations.
Matrix Operations Free powerpoints at
Matrix Operations.
Matrix Operations SpringSemester 2017.
Matrix Operations Free powerpoints at
WarmUp 2-3 on your calculator or on paper..
7.3 Matrices.
2. Matrix Algebra 2.1 Matrix Operations.
Solving Linear Systems Using Inverse Matrices
MATRICES MATRIX OPERATIONS.
1.3 Vector Equations.
Section 2.4 Matrices.
MATRICES Operations with Matrices Properties of Matrix Operations
Basics of Linear Algebra
All we need in Game Programming Course Reference
Linear Algebra review (optional)
Linear Algebra Lecture 11.
Matrix Operations SpringSemester 2017.
Presentation transcript:

Little Linear Algebra Contents: Linear vector spaces Matrices Special Matrices Matrix & vector Norms

Definition of Matrix A matrix is a collection of numbers arranged into a fixed number of rows and columns. Usually the numbers are real numbers. In general, matrices can contain complex numbers but we won't see those here. Here is an example of a matrix with three rows and three columns: The top row is row 1The leftmost column is column 1. This matrix is a 3x3 matrix because it has three rows and three columns. In describing matrices, the format is: rows X columns Each number that makes up a matrix is called an element of the matrix. The elements in a matrix have specific locations.

Transpose of a matrix For matrix A of the form: With 3 rows and 2 columns the transpose is rotate the matrix to change rows into columns and columns into rows In the form The superscript T denotes transpose, sometimes we use * instead of T

Matrix addition

Matrix multiplication Scalar multiplication

Properties of Multiplication

Special structure Matrices 1- identity matrix 2- Diagonal matrix