MATRIX ALGEBRA, Systems Linear Equations

Similar documents
Vectors. Vectors in Plane ( 2

In an algebraic expression of the form (1), like terms are terms with the same power of the variables (in this case

Statistics for Financial Engineering Session 1: Linear Algebra Review March 18 th, 2006

lecture 16: Introduction to Least Squares Approximation

Chapter 7 Infinite Series

Chapter System of Equations

Taylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best

1.3 Continuous Functions and Riemann Sums

Review of the Riemann Integral

FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx),

0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k.

ALGEBRA II CHAPTER 7 NOTES. Name

A GENERAL METHOD FOR SOLVING ORDINARY DIFFERENTIAL EQUATIONS: THE FROBENIUS (OR SERIES) METHOD

Chapter 5. The Riemann Integral. 5.1 The Riemann integral Partitions and lower and upper integrals. Note: 1.5 lectures

g as the function in which for every element x be the set of polynomials of a degree less than or equal to n with , for each i from 0 to n )

=> PARALLEL INTERCONNECTION. Basic Properties LTI Systems. The Commutative Property. Convolution. The Commutative Property. The Distributive Property

A Level Mathematics Transition Work. Summer 2018

Section 3.6: Rational Exponents

Fourier Series and Applications

MA123, Chapter 9: Computing some integrals (pp )

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right:

1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2

82A Engineering Mathematics

, we would have a series, designated as + j 1

We will begin by supplying the proof to (a).

Lesson 4 Linear Algebra

MTH 146 Class 16 Notes

UNIT 4 EXTENDING THE NUMBER SYSTEM Lesson 1: Working with the Number System Instruction

Remarks: (a) The Dirac delta is the function zero on the domain R {0}.

INFINITE SERIES. ,... having infinite number of terms is called infinite sequence and its indicated sum, i.e., a 1

Algebra 2 Readiness Summer Packet El Segundo High School

Content: Essential Calculus, Early Transcendentals, James Stewart, 2007 Chapter 1: Functions and Limits., in a set B.

Summer MA Lesson 4 Section P.3. such that =, denoted by =, is the principal square root

Fast Fourier Transform 1) Legendre s Interpolation 2) Vandermonde Matrix 3) Roots of Unity 4) Polynomial Evaluation

APPLICATION OF DIFFERENCE EQUATIONS TO CERTAIN TRIDIAGONAL MATRICES

Review of Sections

SM2H. Unit 2 Polynomials, Exponents, Radicals & Complex Numbers Notes. 3.1 Number Theory

Linear Programming. Preliminaries

10.5 Power Series. In this section, we are going to start talking about power series. A power series is a series of the form

Frequency-domain Characteristics of Discrete-time LTI Systems

SOLUTION OF SYSTEM OF LINEAR EQUATIONS. Lecture 4: (a) Jacobi's method. method (general). (b) Gauss Seidel method.

M3P14 EXAMPLE SHEET 1 SOLUTIONS

Graphing Review Part 3: Polynomials

Math 153: Lecture Notes For Chapter 1

Chapter Real Numbers

INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)

Lecture 38 (Trapped Particles) Physics Spring 2018 Douglas Fields

Section 6.3: Geometric Sequences

Unit 1. Extending the Number System. 2 Jordan School District

POWER SERIES R. E. SHOWALTER

Unit 1 Chapter-3 Partial Fractions, Algebraic Relationships, Surds, Indices, Logarithms

Chapter 2 Infinite Series Page 1 of 9

Limit of a function:

2. Infinite Series 3. Power Series 4. Taylor Series 5. Review Questions and Exercises 6. Sequences and Series with Maple

Approximate Integration

Particle in a Box. and the state function is. In this case, the Hermitian operator. The b.c. restrict us to 0 x a. x A sin for 0 x a, and 0 otherwise

 n. A Very Interesting Example + + = d. + x3. + 5x4. math 131 power series, part ii 7. One of the first power series we examined was. 2!

Notes 17 Sturm-Liouville Theory

[ 20 ] 1. Inequality exists only between two real numbers (not complex numbers). 2. If a be any real number then one and only one of there hold.

INTEGRATION IN THEORY

Calculus II Homework: The Integral Test and Estimation of Sums Page 1

Project 3: Using Identities to Rewrite Expressions

The Definite Integral

Elementary Linear Algebra

EVALUATING DEFINITE INTEGRALS

Inner Product Spaces (Chapter 5)

b a 2 ((g(x))2 (f(x)) 2 dx

Northwest High School s Algebra 2

National Quali cations AHEXEMPLAR PAPER ONLY

DETERMINANT. = 0. The expression a 1. is called a determinant of the second order, and is denoted by : y + c 1

Handout #2. Introduction to Matrix: Matrix operations & Geometric meaning

ALGEBRA. Set of Equations. have no solution 1 b1. Dependent system has infinitely many solutions

Lecture 2: Matrix Algebra

Linear Algebra. Lecture 1 September 19, 2011

Student Success Center Elementary Algebra Study Guide for the ACCUPLACER (CPT)

Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Lecture 17

Schrödinger Equation Via Laplace-Beltrami Operator

GRAPHING LINEAR EQUATIONS. Linear Equations. x l ( 3,1 ) _x-axis. Origin ( 0, 0 ) Slope = change in y change in x. Equation for l 1.

THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK SUMMER EXAMINATION 2005 FIRST ENGINEERING

1 Tangent Line Problem

Matrix Algebra Notes

( ) k ( ) 1 T n 1 x = xk. Geometric series obtained directly from the definition. = 1 1 x. See also Scalars 9.1 ADV-1: lim n.

3.7 The Lebesgue integral

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J.

is an ordered list of numbers. Each number in a sequence is a term of a sequence. n-1 term

2.1.1 Definition The Z-transform of a sequence x [n] is simply defined as (2.1) X re x k re x k r

Surds, Indices, and Logarithms Radical

MAS221 Analysis, Semester 2 Exercises

Name: Period: Date: 2.1 Rules of Exponents

( a n ) converges or diverges.

Notes on Dirichlet L-functions

Sequence and Series of Functions

Discrete Mathematics I Tutorial 12

* power rule: * fraction raised to negative exponent: * expanded power rule:

,... are the terms of the sequence. If the domain consists of the first n positive integers only, the sequence is a finite sequence.

Chapter Real Numbers

PROGRESSIONS AND SERIES

2.Decision Theory of Dependence

General properties of definite integrals

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before

Transcription:

MATRIX ALGEBRA, Systes Lier Equtios Now we chge to the LINEAR ALGEBRA perspective o vectors d trices to reforulte systes of lier equtios. If you fid the discussio i ters of geerl d gets lost i geerlity, thik first of wht it ll es i the cses = = 3, d or s we ofte do i clss t first. My of the hoework questios re lso forulted for such sll vlues of! I prctice, however, d c be huge - tht's where coputers coe i hdy!! Let's first cocetrte o the lgebr hlf of the ter "Lier Algebr". A Vector is ordered list of ubers (rel or cople) = v v = v, v R C = = ll ordered lists of rel ubers, ll ordered lists of cople ubers. The set of right hd vlues d the set of vribles i syste of lier equtios i vribles c be idetified with vectors for eple, but y others occur: b,,,,,, b b = i, = i, R R The set of sple vlues v = π π 7π of the fuctio y = cos t 0,,,,, π s 4 4 show bove is vector i R 9 ; CD is huge vector of this sort obtied by splig udio sigl 44, 000 ties per secod. 0 The list of 8 roots of uity v = ( + i) i ( i) s show bove o the uit circle i the cople ple is vector i C 8. We shll eet vectors like this whe we get to eigevectors of trices. The 'lgebr' of vectors refers to the dditio, subtrctio, d sclr ultiplictio of vectors. u, v R k R v R We c dd/subtrct vectors i by d for the sclr ultiple of i d i by u v u ± v u ± v = u ± v u ± v =, ± u v u v v kv kv = k v kv = ; v kv i other words, clcultios re doe copoet-wise. There re siilr defiitios of dditio d sclr ultiplictio for C

vectors i C R R 3 = (, ) = (,, 3 ) 3 correspods to the oes you lered for vectors i the ple d 3-spce., ecept tht ow sclr ultiplictio by cople ubers is llowed. Whe tryig to iterpret cocepts d results grphiclly it's ofte coveiet to idetify vectors i or with poits i the ple or i -spce. The dditio/subtrctio/sclr ultiplictio just defied for vectors i colu for the But wht's the poit of thikig of vectors i colu for? Eple: give vectors = i, d =, =,, = i, R R the the opertios of dditio d sclr ultiplictio for vectors show tht so the usul syste of lier equtios i vribles c be rewritte s the + + + + + + =, + + + + + + Vector Equtio: + + + = b =. b A row of colu vectors where MATRIX with rel or cople ubers s etries c be thought of both s Arry of ubers d s 3 3 A = = [ ] 3 =, =,, = R C R re colu vectors i or. The set of ll trices with rel etries will be deoted by d those with cople etries by C. To keep fro drowig i ottio, it's coo to write tri s A = [ jk ] isted of writig out A R R C C ll the etries i. Notice tht the set of ll trices cosistig of oe colu of rel etries is just other wy of thikig of, while is just other wy of thikig of. The ter lgebr of trices refers to dditio, subtrctio, d ultiplictio of trices. I future lecture we'll lso

discuss the ide of the iverse of tri. A, B R We dd/subtrct trices i etry-by-etry: A ± B = [ jk ] ± [ b jk ] = [ jk ± b jk ]. A ± B A ± B A, B I prticulr, is defied oly whe re, d the lso is. For eple, 3 4 4 6 [ ] + [ ] = [ ], 3 4 4 0 3 4 3 3 [ ] [ ] = [ ] 3 4 4 5 8 0 We defie the sclr ultiple of i d i R by Thus ech etry i ka = k[ jk ] = [k jk ]. prticulr, the sclr ultiple A is ultipled by ; i of tri lso is. For eple, A ka k R A k 3 3 6 9 3[ ] = [ ]. 3 4 9 3 To itroduce ultiplictio, let's begi with the product of tri d vector: Mtri-vector Rule: if with colus i d is vector i R, the A = [ ],,, R A = [ ] = + + +. But wht's the poit of this defiitio? Well, if is the coefficiet tri of the usul syste of lier equtios i vribles, d if A is writte i colu for A = [ ], the so the usul syste of lier equtios i vribles c be rewritte s the A + + + A = [ ] + + + = + + + =, + + + Mtri Equtio: b A = b =. Thus the lgebr of vectors d trices provides three differet wys of writig syste of lier equtios i ukows: s ugeted tri, vector equtio d sigle tri equtio. I other words, by usig vectors d + = =

+ y = b = b trices we hve de thigs just s copct s the equtios d studied i high school, yet we c hdle systes i hudreds or thousds of vribles. The et theore sys tht ech provides wy of iterpretig d solvig syste of lier equtios. Fudetl Theore: if d re vectors i, the ech of the followig the syste of lier equtios with ugeted tri, the vector equtio, the tri equtio whe, hs the se solutio set.,,, b R + + + = b A = b A = [ ] [ b ] I prctice, to solve give syste of lier equtios it's probbly quickest d esiest to write the ssocited ugeted tri i Reduced Row Echelo For, especilly if oe hs electroic wy of rrivig t this for. Noetheless, the other two wys of iterpetig systes of lier equtios will becoe very iportt coceptully. Filly, to defie products of trices quite geerlly, we ow siply thik of tri i colu for d the use the Mtri-vector rule: A p B p B = [ b b ] AB A B Mtri-Colu Rule: if is d is tri writte i colu for, the the product of d is the tri AB defied by AB = A[ b b ] = [A b A A b ]. A R p B R p b j B R p Ab j R B AB R Notice tht the restrictios: i d i re eeded so the colus of re i d the tri-vector product is defied s vector i. Sice there re colus i the product thus hs colus ech i. Hece AB is i R. Eple: copute Solutio: Write while AB whe 4 3 A = [ ], B = [ ]. 3 4 6 B = [ b b 3 ]. The 4 9 A b = [ ] [ ] = 4[ ] [ ] = [ ], 3 4 3 4 8 d Thus A = [ ] [ ] = [ ] + [ ] = [ ], 3 4 3 4 4 3 A b 3 = [ ] [ ] = 3[ ] + 6[ ] = [ ]. 3 4 6 3 4 5 9 AB = [A b A A b 3 ] = [ ]. 8 4 5 The 'lgebr' prt of the ter 'lier lgebr' hs thus bee eplored. But wht bout the 'lier' prt. Well, oe of the key

ides uderlyig wht we've doe is the fct tht trices d vectors hve fudetl property tht you et origilly just u, v, b u + bv i j f() + bg() for vectors i the ple, sy: give vectors i the ple d sclrs, the the Lier Cobitio is gi vector i the ple which c be defied both i ters of its d copoets s well s grphiclly i ters of the prllelogr d trigle lws for ddig vectors. But you y recll tht you lso et lier cobitios fuctios whe delig with properties of liits, derivtives d itegrls. Wht we've just see is tht the otio of lier R C R C cobitio kes good sese for vectors i d s well s for trices i d. Lierity is fudetl cocept occurig everywhere i thetics d its pplictios. Lter we shll forlize these ides bstrctly by itroducig the otio of Vector spce (or Lier Spce s it is lso clled). of