CH3 Boolean Algebra (cont d)
|
|
- Naomi Stanley
- 8 years ago
- Views:
Transcription
1 CH3 Boolean Algebra (cont d) Lecturer: 吳 安 宇 Date:2005/10/7 ACCESS IC LAB
2 v Today, you ll know: Introduction 1. Guidelines for multiplying out/factoring expressions 2. Exclusive-OR and Equivalence operations 3. Positive logic and negative logic 4. More about consensus theorem 5. Algebraic simplification of switching expressions 6. Approach to prove validity of an equation 7. The difference between ordinary algebra and Boolean algebra pp. 2
3 Guidelines for Multiplying Out and Factoring vuse X(Y+Z) = XY + XZ...(1) (X+Y)(X+Z) = X + YZ...(2) (X+Y)(X +Z) = XZ + X Y...(3) vfor multiplying out, (2) and (3) should be generally applied before (1) to avoid generating unnecessary terms vfor factoring, apply (1), (2), (3) from right terms to left terms pp. 3
4 Multiplying Out Expression EX. F = (Q + AB)(C D + Q ) = QC D + Q AB or F = QC D + QQ + AB C D + AB Q EX. (A+B+C )(A+B+D)(A+B+E)(A+D +E)(A +C) = (A+B+C D)(A+B+E)[AC+A (D +E)] Distributed Law = (A+B+C DE)(AC+A D +A E) = AC+ABC+A BD +A BE+A C DE (SOP form) => By brute force => 162 terms pp. 4
5 Factoring Expression v EX. AC + A BD + A BE + A C DE = AC + A (BD + BE + C DE) XZ + X Y = (X + Y)(X + Z) = (A + BD + BE + C DE)(A + C) = [ A + C DE + B (D + E) ](A + C) X + YZ = (X+Y)(X+Z) = (A + C DE + B)(A + C DE + D + E)(A + C) = (A + B + C )(A + B + D)(A + B + E)(A + D + E)(A + C) pp. 5
6 3.2 Exclusive-OR Operations vexclusive-or (XOR) X Y X Y Truth Table Symbol Boolean Expression : X Y = X Y + XY pp. 6
7 Exclusive-OR Operations vuseful Theorems : X 0 = X X Y = Y X (commutative) X 1 = X (X Y) Z = X (Y Z) (associative) X X = 0 X(Y Z) = XY XZ (distributive) X X = 1 (X Y) = X Y = X Y = XY + X Y pp. 7
8 Proof of Distributive Laws vxy XZ = XY(XZ) + (XY) XZ = XY(X + Z ) + (X + Y )XZ = XYZ +XY Z = X(YZ + Y Z) = X(Y Z) pp. 8
9 Equivalence Operations (Exclusive NOR) X Y X Y (X Y) X Y = XY + X Y pp. 9
10 Simplification of XOR and XNOR vx X Y = X Y + XY Y = X Y + XY EX (see p.62). F = (A B C) + (B AC ) = [(A B)C + (A B) C ] + [B (AC ) + B(AC ) ] = A BC + (A+B )C + AB C + B(A +C) = B(A C + A + C) + C(A + B + AB ) = B(A + C) + C (A + B ) ( can be further simplified) pp. 10
11 3.3 Consensus Theorem XY + X Z + YZ = XY + X Z (YZ is redundant ) Proof : XY + X Z + YZ = XY + X Z + (X + X )YZ = (XY + XYZ) + (X Z + X YZ) = XY(1 + Z) + X Z(1 + Y) = XY + X Z pp. 11
12 How to Find Consensus Term? 1. Find a pair of terms, one of which contains a variable and the other contains its complement A C D + A BD + BCD + ABC + ACD (A A ) 2. Ignore the variable and its complement, the left variables composite the consensus term (A BD) + (ABC) BD BC = BCD (redundant term) pp. 12
13 Consensus Theorem vapplication to eliminate redundant terms from Boolean Expressions a b + ac + bc + b c +ab = a b + ac + bc pp. 13
14 Consensus Theorem Dual form of consensus theorem (X + Y)(X + Z)(Y + Z) = (X + Y)(X + Z) Example (others are on p.67) : (a + b + c )(a + b + d )(b + c + d ) = (a + b + c )(b + c + d ) (a+ b + c ) + (b + c +d ) a+b + b+d = a+b+d Simplification of Boolean Expression can reduce the cost of realizing the network using gates pp. 14
15 Algebraic Simplification of Switching Expression va. Combining Terms XY + XY =X(Y + Y ) = X EX.1 abc d + abcd = abd (X = abd, Y = c) EX.2 ab c + abc + a bc = ab c + abc + abc + a bc = ac + bc EX.3 (a + bc)(d + e ) + a (b + c )(d + e ) = d + e pp. 15
16 Algebraic Simplification of Switching Expression vrule B -- Eliminating Terms : X + XY = X XY + X Z + YZ = XY + X Z EX.1 a b + a bc = a b (X = a b) a bc + bcd + a bd = a bc + bcd (X = c, Y = bd, Z = a b) pp. 16
17 Algebraic Simplification of Switching Expression vrule C -- Eliminating Literals : X + X Y = (X + X )(X + Y) = X + Y EX. A B + A B C D + ABCD = A (B + B C D ) + ABCD (common term -A ) = A (B + C D ) + ABCD (Rule C) = B(A + ACD) + A C D (common term -B) = B(A + CD) + A C D (Rule C) = A B + BCD + A C D (final terms) pp. 17
18 Algebraic Simplification of Switching Expression vrule D -- Adding Redundant Terms vadd XX = 0 vmultiply by (X + X ) = 1 vadd YZ to (XY + X Z) (reverse of Consensus) Because XY + X Z + YZ = XY + X Z vadd XY to X pp. 18
19 Algebraic Simplification of Switching Expression vex.1 of Adding Redundant Terms WX + XY + X Z + WY Z = WX + XY + X Z + WY Z + W Z (add W Z by Consensus Theorem) = WX + XY + X Z + WZ (eliminate WY Z by WZ ) = WX + XY + X Z pp. 19
20 Algebraic Simplification of Switching Expression EX.2 A B C D + A BC D + A BD + A BC D + ABCD + ACD + B CD = A C D + A BD + B CD + ABC (A, B, C, D methods are applied) No easy way to determine when a Boolean Expression has a min. no. of terms or literals Systematic way is presented in Ch.5 & CH.6 pp. 20
21 Proving Validity of an Equation vapproach : vconstruct a Truth Table vmanipulate one side of the equation till it s identical to the other side vreduce both sides independently to the same equation v(a) Perform same operation on both sides (b) Cannot Subtract or Divide both sides (Subtraction, Division NOT defined) pp. 21
22 Proving Validity of an Equation vusually : vreduce both sides to Sum of Products (SOP) vcompare both sides vtry to Add or Delete terms by using Theorems pp. 22
23 Proving Validity of an Equation vex.1 Show that A BD + BCD + ABC + AB D = BC D + AD + A BC By Consensus Theorem : A BD + BCD + ABC + AB D + BC D + A BC + ABD = AD + A BD + BCD + ABC + BC D + A BC = AD + BC D + A BC pp. 23
24 Proving Validity of an Equation vex.2 Show A BC D + (A + BC)(A + C D ) + BC D + A BC = ABCD + A C D + ABD + ABCD + BC D Reducing the left side A BC D + (A + BC)(A + C D ) + BC D + A BC = (A + BC)(A + C D ) + BC D + A BC = ABC + A C D + BC D + A BC = ABC + A C D + BC D pp. 24
25 Proving Validity of an Equation vex.2(cont.) vreducing the left side ABCD + A C D + ABD + ABCD + BC D = ABC + A C D + ABD + BC D = ABC + A C D + BC D Because both sides were independently reduced to the same expression, the original equation is valid pp. 25
26 Boolean Algebra & Ordinary Algebra vboolean Algebra Ordinary Algebra EX.1 X + Y = X + Z => Y = Z (?) X = 1, Y = 0 => = But 0 1 EX.2 If XY = XZ then Y = Z True : when X 0 False : when X = 0 pp. 26
27 Boolean Algebra & Ordinary Algebra vex.3 if Y = Z then X + Y = X + Z (V) if Y = Z then XY = XZ (V) Add/Multiply the same term => Valid Subtract/Divide the same term => Not Valid Check programmed exercise 3.1, 3.2,,3.5 for practice pp. 27
Boolean Algebra (cont d) UNIT 3 BOOLEAN ALGEBRA (CONT D) Guidelines for Multiplying Out and Factoring. Objectives. Iris Hui-Ru Jiang Spring 2010
Boolean Algebra (cont d) 2 Contents Multiplying out and factoring expressions Exclusive-OR and Exclusive-NOR operations The consensus theorem Summary of algebraic simplification Proving validity of an
More informationUnit 3 Boolean Algebra (Continued)
Unit 3 Boolean Algebra (Continued) 1. Exclusive-OR Operation 2. Consensus Theorem Department of Communication Engineering, NCTU 1 3.1 Multiplying Out and Factoring Expressions Department of Communication
More informationBoolean Algebra Part 1
Boolean Algebra Part 1 Page 1 Boolean Algebra Objectives Understand Basic Boolean Algebra Relate Boolean Algebra to Logic Networks Prove Laws using Truth Tables Understand and Use First Basic Theorems
More informationCSEE 3827: Fundamentals of Computer Systems. Standard Forms and Simplification with Karnaugh Maps
CSEE 3827: Fundamentals of Computer Systems Standard Forms and Simplification with Karnaugh Maps Agenda (M&K 2.3-2.5) Standard Forms Product-of-Sums (PoS) Sum-of-Products (SoP) converting between Min-terms
More informationKarnaugh Maps & Combinational Logic Design. ECE 152A Winter 2012
Karnaugh Maps & Combinational Logic Design ECE 52A Winter 22 Reading Assignment Brown and Vranesic 4 Optimized Implementation of Logic Functions 4. Karnaugh Map 4.2 Strategy for Minimization 4.2. Terminology
More informationUnited States Naval Academy Electrical and Computer Engineering Department. EC262 Exam 1
United States Naval Academy Electrical and Computer Engineering Department EC262 Exam 29 September 2. Do a page check now. You should have pages (cover & questions). 2. Read all problems in their entirety.
More informationKarnaugh Maps. Circuit-wise, this leads to a minimal two-level implementation
Karnaugh Maps Applications of Boolean logic to circuit design The basic Boolean operations are AND, OR and NOT These operations can be combined to form complex expressions, which can also be directly translated
More informationSect 6.1 - Greatest Common Factor and Factoring by Grouping
Sect 6.1 - Greatest Common Factor and Factoring by Grouping Our goal in this chapter is to solve non-linear equations by breaking them down into a series of linear equations that we can solve. To do this,
More informationCM2202: Scientific Computing and Multimedia Applications General Maths: 2. Algebra - Factorisation
CM2202: Scientific Computing and Multimedia Applications General Maths: 2. Algebra - Factorisation Prof. David Marshall School of Computer Science & Informatics Factorisation Factorisation is a way of
More informationCSE140: Components and Design Techniques for Digital Systems
CSE4: Components and Design Techniques for Digital Systems Tajana Simunic Rosing What we covered thus far: Number representations Logic gates Boolean algebra Introduction to CMOS HW#2 due, HW#3 assigned
More informationSection 1. Finding Common Terms
Worksheet 2.1 Factors of Algebraic Expressions Section 1 Finding Common Terms In worksheet 1.2 we talked about factors of whole numbers. Remember, if a b = ab then a is a factor of ab and b is a factor
More informationClick on the links below to jump directly to the relevant section
Click on the links below to jump directly to the relevant section What is algebra? Operations with algebraic terms Mathematical properties of real numbers Order of operations What is Algebra? Algebra is
More informationAlgebraic Properties and Proofs
Algebraic Properties and Proofs Name You have solved algebraic equations for a couple years now, but now it is time to justify the steps you have practiced and now take without thinking and acting without
More informationBEGINNING ALGEBRA ACKNOWLEDMENTS
BEGINNING ALGEBRA The Nursing Department of Labouré College requested the Department of Academic Planning and Support Services to help with mathematics preparatory materials for its Bachelor of Science
More informationChapter 2: Boolean Algebra and Logic Gates. Boolean Algebra
The Universit Of Alabama in Huntsville Computer Science Chapter 2: Boolean Algebra and Logic Gates The Universit Of Alabama in Huntsville Computer Science Boolean Algebra The algebraic sstem usuall used
More informationSwitching Algebra and Logic Gates
Chapter 2 Switching Algebra and Logic Gates The word algebra in the title of this chapter should alert you that more mathematics is coming. No doubt, some of you are itching to get on with digital design
More information1. True or False? A voltage level in the range 0 to 2 volts is interpreted as a binary 1.
File: chap04, Chapter 04 1. True or False? A voltage level in the range 0 to 2 volts is interpreted as a binary 1. 2. True or False? A gate is a device that accepts a single input signal and produces one
More informationDigital circuits make up all computers and computer systems. The operation of digital circuits is based on
Digital Logic Circuits Digital circuits make up all computers and computer systems. The operation of digital circuits is based on Boolean algebra, the mathematics of binary numbers. Boolean algebra is
More informationBoolean Algebra. Boolean Algebra. Boolean Algebra. Boolean Algebra
2 Ver..4 George Boole was an English mathematician of XIX century can operate on logic (or Boolean) variables that can assume just 2 values: /, true/false, on/off, closed/open Usually value is associated
More informationOperations with Algebraic Expressions: Multiplication of Polynomials
Operations with Algebraic Expressions: Multiplication of Polynomials The product of a monomial x monomial To multiply a monomial times a monomial, multiply the coefficients and add the on powers with the
More information1.3 Polynomials and Factoring
1.3 Polynomials and Factoring Polynomials Constant: a number, such as 5 or 27 Variable: a letter or symbol that represents a value. Term: a constant, variable, or the product or a constant and variable.
More information1.4. Arithmetic of Algebraic Fractions. Introduction. Prerequisites. Learning Outcomes
Arithmetic of Algebraic Fractions 1.4 Introduction Just as one whole number divided by another is called a numerical fraction, so one algebraic expression divided by another is known as an algebraic fraction.
More informationClass One: Degree Sequences
Class One: Degree Sequences For our purposes a graph is a just a bunch of points, called vertices, together with lines or curves, called edges, joining certain pairs of vertices. Three small examples of
More informationAlgebraic expressions are a combination of numbers and variables. Here are examples of some basic algebraic expressions.
Page 1 of 13 Review of Linear Expressions and Equations Skills involving linear equations can be divided into the following groups: Simplifying algebraic expressions. Linear expressions. Solving linear
More informationChapter 5. Rational Expressions
5.. Simplify Rational Expressions KYOTE Standards: CR ; CA 7 Chapter 5. Rational Expressions Definition. A rational expression is the quotient P Q of two polynomials P and Q in one or more variables, where
More informationPUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5.
PUTNAM TRAINING POLYNOMIALS (Last updated: November 17, 2015) Remark. This is a list of exercises on polynomials. Miguel A. Lerma Exercises 1. Find a polynomial with integral coefficients whose zeros include
More informationIntroduction. The Quine-McCluskey Method Handout 5 January 21, 2016. CSEE E6861y Prof. Steven Nowick
CSEE E6861y Prof. Steven Nowick The Quine-McCluskey Method Handout 5 January 21, 2016 Introduction The Quine-McCluskey method is an exact algorithm which finds a minimum-cost sum-of-products implementation
More informationLogic in Computer Science: Logic Gates
Logic in Computer Science: Logic Gates Lila Kari The University of Western Ontario Logic in Computer Science: Logic Gates CS2209, Applied Logic for Computer Science 1 / 49 Logic and bit operations Computers
More informationBOOLEAN ALGEBRA & LOGIC GATES
BOOLEAN ALGEBRA & LOGIC GATES Logic gates are electronic circuits that can be used to implement the most elementary logic expressions, also known as Boolean expressions. The logic gate is the most basic
More informationA Systematic Approach to Factoring
A Systematic Approach to Factoring Step 1 Count the number of terms. (Remember****Knowing the number of terms will allow you to eliminate unnecessary tools.) Step 2 Is there a greatest common factor? Tool
More informationTwo-level logic using NAND gates
CSE140: Components and Design Techniques for Digital Systems Two and Multilevel logic implementation Tajana Simunic Rosing 1 Two-level logic using NND gates Replace minterm ND gates with NND gates Place
More information~ EQUIVALENT FORMS ~
~ EQUIVALENT FORMS ~ Critical to understanding mathematics is the concept of equivalent forms. Equivalent forms are used throughout this course. Throughout mathematics one encounters equivalent forms of
More informationFactoring (pp. 1 of 4)
Factoring (pp. 1 of 4) Algebra Review Try these items from middle school math. A) What numbers are the factors of 4? B) Write down the prime factorization of 7. C) 6 Simplify 48 using the greatest common
More informationFINDING THE LEAST COMMON DENOMINATOR
0 (7 18) Chapter 7 Rational Expressions GETTING MORE INVOLVED 7. Discussion. Evaluate each expression. a) One-half of 1 b) One-third of c) One-half of x d) One-half of x 7. Exploration. Let R 6 x x 0 x
More informationCSE140: Midterm 1 Solution and Rubric
CSE140: Midterm 1 Solution and Rubric April 23, 2014 1 Short Answers 1.1 True or (6pts) 1. A maxterm must include all input variables (1pt) True 2. A canonical product of sums is a product of minterms
More informationTHREE DIMENSIONAL GEOMETRY
Chapter 8 THREE DIMENSIONAL GEOMETRY 8.1 Introduction In this chapter we present a vector algebra approach to three dimensional geometry. The aim is to present standard properties of lines and planes,
More informationOnline EFFECTIVE AS OF JANUARY 2013
2013 A and C Session Start Dates (A-B Quarter Sequence*) 2013 B and D Session Start Dates (B-A Quarter Sequence*) Quarter 5 2012 1205A&C Begins November 5, 2012 1205A Ends December 9, 2012 Session Break
More informationCombinational circuits
Combinational circuits Combinational circuits are stateless The outputs are functions only of the inputs Inputs Combinational circuit Outputs 3 Thursday, September 2, 3 Enabler Circuit (High-level view)
More informationPRIMARY CONTENT MODULE Algebra I -Linear Equations & Inequalities T-71. Applications. F = mc + b.
PRIMARY CONTENT MODULE Algebra I -Linear Equations & Inequalities T-71 Applications The formula y = mx + b sometimes appears with different symbols. For example, instead of x, we could use the letter C.
More informationFactoring Polynomials
UNIT 11 Factoring Polynomials You can use polynomials to describe framing for art. 396 Unit 11 factoring polynomials A polynomial is an expression that has variables that represent numbers. A number can
More informationDigital Logic Design. Basics Combinational Circuits Sequential Circuits. Pu-Jen Cheng
Digital Logic Design Basics Combinational Circuits Sequential Circuits Pu-Jen Cheng Adapted from the slides prepared by S. Dandamudi for the book, Fundamentals of Computer Organization and Design. Introduction
More informationUnderstanding Logic Design
Understanding Logic Design ppendix of your Textbook does not have the needed background information. This document supplements it. When you write add DD R0, R1, R2, you imagine something like this: R1
More information2.0 Chapter Overview. 2.1 Boolean Algebra
Thi d t t d ith F M k 4 0 2 Boolean Algebra Chapter Two Logic circuits are the basis for modern digital computer systems. To appreciate how computer systems operate you will need to understand digital
More information2 : two cube. 5 : five cube. 10 : ten cube.
Math 105 TOPICS IN MATHEMATICS REVIEW OF LECTURES VI Instructor: Line #: 52920 Yasuyuki Kachi 6 Cubes February 2 Mon, 2015 We can similarly define the notion of cubes/cubing Like we did last time, 3 2
More informationexclusive-or and Binary Adder R eouven Elbaz reouven@uwaterloo.ca Office room: DC3576
exclusive-or and Binary Adder R eouven Elbaz reouven@uwaterloo.ca Office room: DC3576 Outline exclusive OR gate (XOR) Definition Properties Examples of Applications Odd Function Parity Generation and Checking
More informationSimplifying Logic Circuits with Karnaugh Maps
Simplifying Logic Circuits with Karnaugh Maps The circuit at the top right is the logic equivalent of the Boolean expression: f = abc + abc + abc Now, as we have seen, this expression can be simplified
More informationHow To Prove The Triangle Angle Of A Triangle
Simple trigonometric substitutions with broad results Vardan Verdiyan, Daniel Campos Salas Often, the key to solve some intricate algebraic inequality is to simplify it by employing a trigonometric substitution.
More informationSolutions Manual for How to Read and Do Proofs
Solutions Manual for How to Read and Do Proofs An Introduction to Mathematical Thought Processes Sixth Edition Daniel Solow Department of Operations Weatherhead School of Management Case Western Reserve
More informationLogic Reference Guide
Logic eference Guide Advanced Micro evices INTOUCTION Throughout this data book and design guide we have assumed that you have a good working knowledge of logic. Unfortunately, there always comes a time
More informationCDA 3200 Digital Systems. Instructor: Dr. Janusz Zalewski Developed by: Dr. Dahai Guo Spring 2012
CDA 3200 Digital Systems Instructor: Dr. Janusz Zalewski Developed by: Dr. Dahai Guo Spring 2012 Outline Multi-Level Gate Circuits NAND and NOR Gates Design of Two-Level Circuits Using NAND and NOR Gates
More informationA single register, called the accumulator, stores the. operand before the operation, and stores the result. Add y # add y from memory to the acc
Other architectures Example. Accumulator-based machines A single register, called the accumulator, stores the operand before the operation, and stores the result after the operation. Load x # into acc
More informationHow To Solve Factoring Problems
05-W4801-AM1.qxd 8/19/08 8:45 PM Page 241 Factoring, Solving Equations, and Problem Solving 5 5.1 Factoring by Using the Distributive Property 5.2 Factoring the Difference of Two Squares 5.3 Factoring
More informationFactoring. Factoring Monomials Monomials can often be factored in more than one way.
Factoring Factoring is the reverse of multiplying. When we multiplied monomials or polynomials together, we got a new monomial or a string of monomials that were added (or subtracted) together. For example,
More informationSPECIAL PRODUCTS AND FACTORS
CHAPTER 442 11 CHAPTER TABLE OF CONTENTS 11-1 Factors and Factoring 11-2 Common Monomial Factors 11-3 The Square of a Monomial 11-4 Multiplying the Sum and the Difference of Two Terms 11-5 Factoring the
More information6 Commutators and the derived series. [x,y] = xyx 1 y 1.
6 Commutators and the derived series Definition. Let G be a group, and let x,y G. The commutator of x and y is [x,y] = xyx 1 y 1. Note that [x,y] = e if and only if xy = yx (since x 1 y 1 = (yx) 1 ). Proposition
More information1.4. Removing Brackets. Introduction. Prerequisites. Learning Outcomes. Learning Style
Removing Brackets 1. Introduction In order to simplify an expression which contains brackets it is often necessary to rewrite the expression in an equivalent form but without any brackets. This process
More informationProperties of Real Numbers
16 Chapter P Prerequisites P.2 Properties of Real Numbers What you should learn: Identify and use the basic properties of real numbers Develop and use additional properties of real numbers Why you should
More informationHow to bet using different NairaBet Bet Combinations (Combo)
How to bet using different NairaBet Bet Combinations (Combo) SINGLES Singles consists of single bets. I.e. it will contain just a single selection of any sport. The bet slip of a singles will look like
More information6.5 Factoring Special Forms
440 CHAPTER 6. FACTORING 6.5 Factoring Special Forms In this section we revisit two special product forms that we learned in Chapter 5, the first of which was squaring a binomial. Squaring a binomial.
More informationGeometry Module 4 Unit 2 Practice Exam
Name: Class: Date: ID: A Geometry Module 4 Unit 2 Practice Exam Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Which diagram shows the most useful positioning
More information#6 Opener Solutions. Move one more spot to your right. Introduce yourself if needed.
1. Sit anywhere in the concentric circles. Do not move the desks. 2. Take out chapter 6, HW/notes #1-#5, a pencil, a red pen, and your calculator. 3. Work on opener #6 with the person sitting across from
More informationChapter 3. Inversion and Applications to Ptolemy and Euler
Chapter 3. Inversion and Applications to Ptolemy and Euler 2 Power of a point with respect to a circle Let A be a point and C a circle (Figure 1). If A is outside C and T is a point of contact of a tangent
More informationScilab Textbook Companion for Digital Electronics: An Introduction To Theory And Practice by W. H. Gothmann 1
Scilab Textbook Companion for Digital Electronics: An Introduction To Theory And Practice by W. H. Gothmann 1 Created by Aritra Ray B.Tech Electronics Engineering NIT-DURGAPUR College Teacher Prof. Sabyasachi
More informationFactoring Quadratic Expressions
Factoring the trinomial ax 2 + bx + c when a = 1 A trinomial in the form x 2 + bx + c can be factored to equal (x + m)(x + n) when the product of m x n equals c and the sum of m + n equals b. (Note: the
More informationUsing the ac Method to Factor
4.6 Using the ac Method to Factor 4.6 OBJECTIVES 1. Use the ac test to determine factorability 2. Use the results of the ac test 3. Completely factor a trinomial In Sections 4.2 and 4.3 we used the trial-and-error
More informationIntermediate Math Circles October 10, 2012 Geometry I: Angles
Intermediate Math Circles October 10, 2012 Geometry I: Angles Over the next four weeks, we will look at several geometry topics. Some of the topics may be familiar to you while others, for most of you,
More informationTo Evaluate an Algebraic Expression
1.5 Evaluating Algebraic Expressions 1.5 OBJECTIVES 1. Evaluate algebraic expressions given any signed number value for the variables 2. Use a calculator to evaluate algebraic expressions 3. Find the sum
More informationNegative Integer Exponents
7.7 Negative Integer Exponents 7.7 OBJECTIVES. Define the zero exponent 2. Use the definition of a negative exponent to simplify an expression 3. Use the properties of exponents to simplify expressions
More informationRULE 1: Additive Identity Property
RULE 1: Additive Identity Property Additive Identity Property a + 0 = a x + 0 = x If we add 0 to any number, we will end up with the same number. Zero is represented through the the green vortex. When
More informationFACTORING OUT COMMON FACTORS
278 (6 2) Chapter 6 Factoring 6.1 FACTORING OUT COMMON FACTORS In this section Prime Factorization of Integers Greatest Common Factor Finding the Greatest Common Factor for Monomials Factoring Out the
More informationAlgebra Cheat Sheets
Sheets Algebra Cheat Sheets provide you with a tool for teaching your students note-taking, problem-solving, and organizational skills in the context of algebra lessons. These sheets teach the concepts
More informationMATH 10034 Fundamental Mathematics IV
MATH 0034 Fundamental Mathematics IV http://www.math.kent.edu/ebooks/0034/funmath4.pdf Department of Mathematical Sciences Kent State University January 2, 2009 ii Contents To the Instructor v Polynomials.
More informationMatrix Algebra. Some Basic Matrix Laws. Before reading the text or the following notes glance at the following list of basic matrix algebra laws.
Matrix Algebra A. Doerr Before reading the text or the following notes glance at the following list of basic matrix algebra laws. Some Basic Matrix Laws Assume the orders of the matrices are such that
More informationexpression is written horizontally. The Last terms ((2)( 4)) because they are the last terms of the two polynomials. This is called the FOIL method.
A polynomial of degree n (in one variable, with real coefficients) is an expression of the form: a n x n + a n 1 x n 1 + a n 2 x n 2 + + a 2 x 2 + a 1 x + a 0 where a n, a n 1, a n 2, a 2, a 1, a 0 are
More informationFactoring Algebra- Chapter 8B Assignment Sheet
Name: Factoring Algebra- Chapter 8B Assignment Sheet Date Section Learning Targets Assignment Tues 2/17 Find the prime factorization of an integer Find the greatest common factor (GCF) for a set of monomials.
More informationFactoring Trinomials of the Form x 2 bx c
4.2 Factoring Trinomials of the Form x 2 bx c 4.2 OBJECTIVES 1. Factor a trinomial of the form x 2 bx c 2. Factor a trinomial containing a common factor NOTE The process used to factor here is frequently
More informationCOMPUTER SCIENCE. Paper 1 (THEORY)
COMPUTER SCIENCE Paper 1 (THEORY) (Three hours) Maximum Marks: 70 (Candidates are allowed additional 15 minutes for only reading the paper. They must NOT start writing during this time) -----------------------------------------------------------------------------------------------------------------------
More informationAlgebra (Expansion and Factorisation)
Chapter10 Algebra (Expansion and Factorisation) Contents: A B C D E F The distributive law Siplifying algebraic expressions Brackets with negative coefficients The product (a + b)(c + d) Geoetric applications
More informationRelational Database Design
Relational Database Design To generate a set of relation schemas that allows - to store information without unnecessary redundancy - to retrieve desired information easily Approach - design schema in appropriate
More informationCOMMUTATIVE RINGS. Definition: A domain is a commutative ring R that satisfies the cancellation law for multiplication:
COMMUTATIVE RINGS Definition: A commutative ring R is a set with two operations, addition and multiplication, such that: (i) R is an abelian group under addition; (ii) ab = ba for all a, b R (commutative
More informationwww.mohandesyar.com SOLUTIONS MANUAL DIGITAL DESIGN FOURTH EDITION M. MORRIS MANO California State University, Los Angeles MICHAEL D.
27 Pearson Education, Inc., Upper Saddle River, NJ. ll rights reserved. This publication is protected by opyright and written permission should be obtained or likewise. For information regarding permission(s),
More informationGates & Boolean Algebra. Boolean Operators. Combinational Logic. Introduction
Introduction Gates & Boolean lgebra Boolean algebra: named after mathematician George Boole (85 864). 2-valued algebra. digital circuit can have one of 2 values. Signal between and volt =, between 4 and
More information5.1 Midsegment Theorem and Coordinate Proof
5.1 Midsegment Theorem and Coordinate Proof Obj.: Use properties of midsegments and write coordinate proofs. Key Vocabulary Midsegment of a triangle - A midsegment of a triangle is a segment that connects
More informationSection 8.8. 1. The given line has equations. x = 3 + t(13 3) = 3 + 10t, y = 2 + t(3 + 2) = 2 + 5t, z = 7 + t( 8 7) = 7 15t.
. The given line has equations Section 8.8 x + t( ) + 0t, y + t( + ) + t, z 7 + t( 8 7) 7 t. The line meets the plane y 0 in the point (x, 0, z), where 0 + t, or t /. The corresponding values for x and
More informationAn Introduction to Fault Tree Analysis (FTA)
An Introduction to Fault Tree Analysis (FTA) Dr Jane Marshall Product Excellence using 6 Sigma Module PEUSS 2011/2012 FTA Page 1 Objectives Understand purpose of FTA Understand & apply rules of FTA Analyse
More informationFind all of the real numbers x that satisfy the algebraic equation:
Appendix C: Factoring Algebraic Expressions Factoring algebraic equations is the reverse of expanding algebraic expressions discussed in Appendix B. Factoring algebraic equations can be a great help when
More informationLecture 2 Matrix Operations
Lecture 2 Matrix Operations transpose, sum & difference, scalar multiplication matrix multiplication, matrix-vector product matrix inverse 2 1 Matrix transpose transpose of m n matrix A, denoted A T or
More informationCOLLEGE ALGEBRA 10 TH EDITION LIAL HORNSBY SCHNEIDER 1.1-1
10 TH EDITION COLLEGE ALGEBRA LIAL HORNSBY SCHNEIDER 1.1-1 1.1 Linear Equations Basic Terminology of Equations Solving Linear Equations Identities 1.1-2 Equations An equation is a statement that two expressions
More informationGates, Circuits, and Boolean Algebra
Gates, Circuits, and Boolean Algebra Computers and Electricity A gate is a device that performs a basic operation on electrical signals Gates are combined into circuits to perform more complicated tasks
More informationTim Kerins. Leaving Certificate Honours Maths - Algebra. Tim Kerins. the date
Leaving Certificate Honours Maths - Algebra the date Chapter 1 Algebra This is an important portion of the course. As well as generally accounting for 2 3 questions in examination it is the basis for many
More information5.1 FACTORING OUT COMMON FACTORS
C H A P T E R 5 Factoring he sport of skydiving was born in the 1930s soon after the military began using parachutes as a means of deploying troops. T Today, skydiving is a popular sport around the world.
More informationQuotient Rings and Field Extensions
Chapter 5 Quotient Rings and Field Extensions In this chapter we describe a method for producing field extension of a given field. If F is a field, then a field extension is a field K that contains F.
More informationFactoring Special Polynomials
6.6 Factoring Special Polynomials 6.6 OBJECTIVES 1. Factor the difference of two squares 2. Factor the sum or difference of two cubes In this section, we will look at several special polynomials. These
More informationFinding the Measure of Segments Examples
Finding the Measure of Segments Examples 1. In geometry, the distance between two points is used to define the measure of a segment. Segments can be defined by using the idea of betweenness. In the figure
More informationSECTION A-3 Polynomials: Factoring
A-3 Polynomials: Factoring A-23 thick, write an algebraic epression in terms of that represents the volume of the plastic used to construct the container. Simplify the epression. [Recall: The volume 4
More informationSan Jose Math Circle April 25 - May 2, 2009 ANGLE BISECTORS
San Jose Math Circle April 25 - May 2, 2009 ANGLE BISECTORS Recall that the bisector of an angle is the ray that divides the angle into two congruent angles. The most important results about angle bisectors
More informationFactoring - Grouping
6.2 Factoring - Grouping Objective: Factor polynomials with four terms using grouping. The first thing we will always do when factoring is try to factor out a GCF. This GCF is often a monomial like in
More informationLecture 24: Saccheri Quadrilaterals
Lecture 24: Saccheri Quadrilaterals 24.1 Saccheri Quadrilaterals Definition In a protractor geometry, we call a quadrilateral ABCD a Saccheri quadrilateral, denoted S ABCD, if A and D are right angles
More informationSection A-3 Polynomials: Factoring APPLICATIONS. A-22 Appendix A A BASIC ALGEBRA REVIEW
A- Appendi A A BASIC ALGEBRA REVIEW C In Problems 53 56, perform the indicated operations and simplify. 53. ( ) 3 ( ) 3( ) 4 54. ( ) 3 ( ) 3( ) 7 55. 3{[ ( )] ( )( 3)} 56. {( 3)( ) [3 ( )]} 57. Show by
More information