If f = ABC + ABC + A B C then f = AB C + A BC + AB C + A BC + A B C

Size: px
Start display at page:

Download "If f = ABC + ABC + A B C then f = AB C + A BC + AB C + A BC + A B C"

Transcription

1 Examples: If f 5 = AB + AB then f 5 = A B + A B = f 10 If f = ABC + ABC + A B C then f = AB C + A BC + AB C + A BC + A B C In terms of a truth table, if f is the sum (OR) of all the minterms with a 1 in the f column, then f is the sum (OR) of all the minterms with a 0 in the f column. Practice Problems - Facts 1. How many minterms exist for a Boolean space of 5 variables? 2. How many possible Boolean functions of 4 variables are there? 3. List all minterms for a Boolean space of 1 variable. 4. List all functions for a boolean space of 1 variable 5. If f = A B, what is the DNF for f? Algebraic Rules of Determining the equivalence of two Boolean expressions can be done algebraically as well as by using truth tables, assuming that we know the rules, postulates and theorems, of. In addition we can use such rules to simplify Boolean expressions, and to take arbitrary Boolean expressions and put them in canonical form (for comparison, or truth table generation.) Let s start with some axioms, or postulates (fundamental properties) of. Postulates 1. Both AND and OR have identity elements A + 0 = A A1 = A 2. Commutativity A+B = B+A AB = BA NTC 2/26/05 71

2 3. Associativity A+(B+C) = (A+B)+C A(BC) = (AB)C 4. Distributivity A+BC = (A+B)(A+C) A(B+C) = AB + AC 5. Every element has a complement 0'= 1 1'= 0 A+A =1 A A = 0 and (A ) = A Note that each of these postulates contains a pair of rules; they are called duals of each other. In general, the dual of any Boolean expression is obtained by replacing all + s with s and all 0's with 1's (and vice versa). If a Boolean expression or equation is determined to be true, then its dual will also be true, and it is not necessary to prove the dual independently. This property of is called the Principal of Duality. By the way, it would seem that the functions AND and OR correspond in many ways with the arithmetic operators MULTIPLICATION and ADDITION, respectively. This is certainly true regarding identities, commutativity, and associativity. Note, however, that the distributive rule is a bit different in that both Boolean operators are distributive across each other, while multiplication is distributive across addition, but not vice versa. Many additional theorems of can be proved using the postulates given above. Theorems, of course, can then be used to prove other theorems and results. The most important and useful theorems are presented here, with their proofs. In each case, as a result of the Principle of Duality, only one of the dual pair need be proved. Theorems 1. Idempotency A+A = A AA = A Proof: A+A = (A+A)1 Identity = (A+A)(A+A ) Complement = A+AA Distributivity NTC 2/26/05 72

3 = A+0 Complement = A Identity 2. A+1 = 1 A0 = 0 Proof: A+1 = A + (A+A ) Complement = (A+A)+A Associativity = A+A Idempotency (just proved above) = 1 Complement 3. Absorption A+AB = A A(A+B) = A Proof: A+AB = A1 + AB Identity = A(1+B) Distributivity = A1 Theorem 2 (above) = A Identity 4. Adsorption A+A B = A+B A(A +B) = AB Proof: A+A B = (A+A )(A+B) Distributivity = 1(A+B) Complement = A+B Identity 5. De Morgan s Theorem (A+B) = A B (AB) = A +B Proof: (By contradiction) Assume (A+B) A B. Then (A+B) (A+B) A B (A+B) AND (A+B) to both sides 0 A B A+A B B Distributivity 0 0B + A 0 Complement/Associativity 0 0 Contradiction The primary use we will make of these theorems is for the simplification of Boolean expressions, generating canonical forms, and for proving the equivalence of Boolean expressions. NTC 2/26/05 73

4 Simplification and Equivalence a) Simplify AB+AB C = A(B+B C) Distributivity = A(B+C) Adsorption = AB+AC Distributivity b) Prove ABC+ ABC +AB C is equivalent to AB + AC ABC+ABC +AB C = AB(C+C ) +AB C Distributivity = AB+AB C Complement = AB+AC (proved in a) Let s go back to expression [B1], and simplify it: AB + C(A+BC) + BC [B1] =AB +C(A (B +C )) + BC De Morgan s Theorem =AB +CA B + CA C + BC Distributivity =(A+CA )B + CA C + BC Distributivity =(A+C)B + CA C + BC Adsorption =(A+C)B + A CC + BC Commutativity =(A+C)B + A 0 + BC Complement =AB + CB BC Distributivity & theorem 2 =AB + CB + C B Idempotency and Associativity =AB + B C + BC Commutativity [B4] This (as will be shown using a different technique later) is the simplest form of this particular Boolean expression. Note that this is a sum of products form, but is not DNF since not all terms contain all variables (in fact, none do.) NTC 2/26/05 74

5 Practice Problems - Algebraic Simplification 1. Write the duals of the following Boolean equations a. A + B = 1 b. A(B +C ) = 0 c. A B + B C = 1 d. (A + B )CD = 0 2. Simplify Algebraically the following Boolean expressions a. f 1 = A + A B b. f 2 = A(A+B ) c. f 3 = A + ABC +A C d. f 4 = AB + AB + A B + A B e. f 5 = A(B + C)A f. f 6 = (A + B)(A + B ) g. f 7 = (A B + C) + C Canonical Forms The canonical Boolean forms are the Disjunctive Normal Form, referenced repeatedly above, and the Conjunctive Normal form (CNF). Recall that the DNF is a sum-ofproducts form in which every minterm contains every variable used in the function; the CNF is a product-of-sums form in which every maxterm contains every variable used in the function. Suppose we are given a Boolean function f = AB + B C in sum of products form; how do we generate the DNF form? One way is to produce the truth table for the function and simply write out the sum of the terms from each row containing a 1 in the result (f) column. We have already done this. Another way is to use the postulates and theorems as follows: 1. Take each term y, and, using each missing variable x, AND the expression (x+x ) to that term. This is clearly allowed since x+x = 1 and y1 = y. In the current example f = AB(C+C ) + (A+A )B C 2. Expand the expression using the distributive rule to get the DNF form NTC 2/26/05 75

6 f = ABC + ABC + AB C + A B C [B5] 3. Eliminate any duplicate terms (which can sometimes happen) since y + y = y. Remember that equivalency of two Boolean expressions can be shown if their truth tables are identical. This is another way of saying their canonical forms are identical, or that they can both be simplified to the same sum of products or product of sums expression. What about the Conjunctive Normal Form? How is this derived? The easiest way is to find the DNF of f and then apply De Morgan s Theorem. How do we get the DNF of f? In one of two ways. Go to the truth table for f and write down the terms for all the rows in which f = 0 (instead of the terms from rows where f=1.) This is the DNF for f Alternatively, remember that the canonical forms contain terms which contain all the variables. There are a total of 2 n such terms possible. If you know the DNF of f, then the DNF of f is simply the sum of all the terms which don t appear in f. For example, using either method, the f for the f in [B5] is f = A B C + A BC + AB C + A BC [B6] Now, by De Morgan s Theorem f = (A B C + A BC + AB C + A BC) = (A+B+C)(A+B +C)(A +B+C)(A+B +C ) [B7] [B7] is the CNF form of [B5] as well as the original f = AB + B C A note on an alternate notation: As we can see from the above examples, Boolean expressions in DNF or CNF can be quite lengthy and hard to read. This is especially true here, where we have chosen to use an apostrophe to represent the complement, or not, function as the apostrophe is hard to see in certain fonts. We could, if desired, represent each minterm or maxterm by the binary number it represents. This is usually done as a subscript to the letter m (for minterms) or M (for maxterms), or, alternatively, as part of a set of numbers representing the collection of minterms or maxterms. Consider the minterm AB C ; if we NTC 2/26/05 76

7 think of this as the binary bit string 100'(a one for an uncomplemented variable and a 0 for a complemented variable) then this minterm has the value 4. The minterm is then specified as m 4. Then [B6] could be rewritten as f = m 0 + m 2 + m 4 + m 3 It could be specified even more compactly as f = m(0, 2, 3, 4) Similarly, [B7] could be represented (using capital M s for maxterms) as f = M 7 M 5 M 3 M 4 or f = M(3, 4, 5, 7) Using this nomenclature, doing the last example is much easier. The original f is given by [B5] f = m(7, 6, 5, 1) By simply examining the numbers and recognizing that the complement of f consists of all the minterms unused by f we can see that f = m(0, 2, 3, 4) We can apply DeMorgan s theorem to this quite neatly by simply subtracting each number from 7 5. Applying DeMorgan s theorem we get (where the numbers are now maxterms, not minterms) f = M(7, 5, 4, 3) Which is the same as [B7]. 5 In general, for n variables, subtract from 2 n - 1. For functions of two variables, for instance, there are only four possible minterms, 0, 1, 2, 3 and to take the complement of any minterm simply subtract its number from 3 (= 2 2-1) NTC 2/26/05 77

8 Practice Problems - Canonical Forms 1. Find the Disjunctive Normal Form for the following Boolean expressions, assuming the DNF has the number of variables given. a. f a = A + B (assume two variables, A and B) b. f b = A + B (assume three variables, A, B, and C) c. f c = AB C (assume three variables, A, B, and C) d. f d = 1 (Assume three variables, A, B, and C) e. f e = AB + A C + BC (assume three variables, A, B, and C) f. f f = (A + B)(A + C) (assume three variables, A, B, and C) 2. Find the Conjunctive Normal Form for the following Boolean expressions, assuming the CNF has the number of variables given. a. g a = A + B (assume two variables, A and B) b. g b = A + B (assume three variables, A, B, and C) c. g c = ABC + ABC + AB C + A B C (assume three variables, A, B, and C) d. g d = (A + B )(B + C ) (assume three variables, A, B, and C) e. g e = 1 (assume two variables, A, and B) Karnaugh Maps Karnaugh Maps are the preferred mechanism for the simplification of Boolean expressions. They constitute a graphical means for this purpose, but are, for practical reasons, limited to expressions with relatively few variables, usually less then or equal to four, although they can conceptually be used with as many as desired. A Karnaugh map is a chart or table of rows and columns. Each row and column is labeled with appropriate Boolean terms. The cells which constitute the intersection of rows and columns contain 1's and 0's, depending on whether the corresponding terms appear in the final function. In fact, a Karnaugh Map is nothing more than a Truth Table NTC 2/26/05 78

This form sometimes used in logic circuit, example:

This form sometimes used in logic circuit, example: Objectives: 1. Deriving of logical expression form truth tables. 2. Logical expression simplification methods: a. Algebraic manipulation. b. Karnaugh map (k-map). 1. Deriving of logical expression from

More information

Chapter 2 : Boolean Algebra and Logic Gates

Chapter 2 : Boolean Algebra and Logic Gates Chapter 2 : Boolean Algebra and Logic Gates By Electrical Engineering Department College of Engineering King Saud University 1431-1432 2.1. Basic Definitions 2.2. Basic Theorems and Properties of Boolean

More information

CHAPTER III BOOLEAN ALGEBRA

CHAPTER III BOOLEAN ALGEBRA CHAPTER III- CHAPTER III CHAPTER III R.M. Dansereau; v.. CHAPTER III-2 BOOLEAN VALUES INTRODUCTION BOOLEAN VALUES Boolean algebra is a form of algebra that deals with single digit binary values and variables.

More information

CHAPTER III BOOLEAN ALGEBRA

CHAPTER III BOOLEAN ALGEBRA CHAPTER III- CHAPTER III CHAPTER III R.M. Dansereau; v.. CHAPTER III-2 BOOLEAN VALUES INTRODUCTION BOOLEAN VALUES Boolean algebra is a form of algebra that deals with single digit binary values and variables.

More information

Boolean Algebra & Logic Gates. By : Ali Mustafa

Boolean Algebra & Logic Gates. By : Ali Mustafa Boolean Algebra & Logic Gates By : Ali Mustafa Digital Logic Gates There are three fundamental logical operations, from which all other functions, no matter how complex, can be derived. These Basic functions

More information

Binary logic consists of binary variables and logical operations. The variables are

Binary logic consists of binary variables and logical operations. The variables are 1) Define binary logic? Binary logic consists of binary variables and logical operations. The variables are designated by the alphabets such as A, B, C, x, y, z, etc., with each variable having only two

More information

Ex: Boolean expression for majority function F = A'BC + AB'C + ABC ' + ABC.

Ex: Boolean expression for majority function F = A'BC + AB'C + ABC ' + ABC. Boolean Expression Forms: Sum-of-products (SOP) Write an AND term for each input combination that produces a 1 output. Write the input variable if its value is 1; write its complement otherwise. OR the

More information

Combinational Logic Fundamentals

Combinational Logic Fundamentals Topic 3: Combinational Logic Fundamentals In this note we will study combinational logic, which is the part of digital logic that uses Boolean algebra. All the concepts presented in combinational logic

More information

EECS150 - Digital Design Lecture 19 - Combinational Logic Circuits : A Deep Dive

EECS150 - Digital Design Lecture 19 - Combinational Logic Circuits : A Deep Dive EECS150 - Digital Design Lecture 19 - Combinational Logic Circuits : A Deep Dive March 30, 2010 John Wawrzynek Spring 2010 EECS150 - Lec19-cl1 Page 1 Boolean Algebra I (Representations of Combinational

More information

Advanced Digital Design with the Verilog HDL, Second Edition Michael D. Ciletti Prentice Hall, Pearson Education, 2011

Advanced Digital Design with the Verilog HDL, Second Edition Michael D. Ciletti Prentice Hall, Pearson Education, 2011 Problem 2-1 Recall that a minterm is a cube in which every variable appears. A Boolean expression in SOP form is canonical if every cube in the expression has a unique representation in which all of the

More information

Combinational Logic Circuits Part II -Theoretical Foundations

Combinational Logic Circuits Part II -Theoretical Foundations Combinational Logic Circuits Part II -Theoretical Foundations Overview Boolean Algebra Basic Logic Operations Basic Identities Basic Principles, Properties, and Theorems Boolean Function and Representations

More information

Chapter 2 Combinational Logic Circuits

Chapter 2 Combinational Logic Circuits Logic and Computer Design Fundamentals Chapter 2 Combinational Logic Circuits Part 1 Gate Circuits and Boolean Equations Charles Kime & Thomas Kaminski 2008 Pearson Education, Inc. (Hyperlinks are active

More information

Digital Logic Design. Malik Najmus Siraj

Digital Logic Design. Malik Najmus Siraj Digital Logic Design Malik Najmus Siraj siraj@case.edu.pkedu LECTURE 4 Today s Agenda Recap 2 s complement Binary Logic Boolean algebra Recap Computer Arithmetic Signed numbers Radix and diminished radix

More information

Boolean Algebra and Logic Design (Class 2.2 1/24/2013) CSE 2441 Introduction to Digital Logic Spring 2013 Instructor Bill Carroll, Professor of CSE

Boolean Algebra and Logic Design (Class 2.2 1/24/2013) CSE 2441 Introduction to Digital Logic Spring 2013 Instructor Bill Carroll, Professor of CSE Boolean Algebra and Logic Design (Class 2.2 1/24/2013) CSE 2441 Introduction to Digital Logic Spring 2013 Instructor Bill Carroll, Professor of CSE Today s Topics Boolean algebra applications in logic

More information

Logic Design. Chapter 2: Introduction to Logic Circuits

Logic Design. Chapter 2: Introduction to Logic Circuits Logic Design Chapter 2: Introduction to Logic Circuits Introduction Logic circuits perform operation on digital signal Digital signal: signal values are restricted to a few discrete values Binary logic

More information

Chapter 2. Boolean Algebra and Logic Gates

Chapter 2. Boolean Algebra and Logic Gates Chapter 2 Boolean Algebra and Logic Gates Basic Definitions A binary operator defined on a set S of elements is a rule that assigns, to each pair of elements from S, a unique element from S. The most common

More information

Boolean Algebra. Philipp Koehn. 9 September 2016

Boolean Algebra. Philipp Koehn. 9 September 2016 Boolean Algebra Philipp Koehn 9 September 2016 Core Boolean Operators 1 AND OR NOT A B A and B 0 0 0 0 1 0 1 0 0 1 1 1 A B A or B 0 0 0 0 1 1 1 0 1 1 1 1 A not A 0 1 1 0 AND OR NOT 2 Boolean algebra Boolean

More information

ECEN 248: INTRODUCTION TO DIGITAL SYSTEMS DESIGN. Week 2 Dr. Srinivas Shakkottai Dept. of Electrical and Computer Engineering

ECEN 248: INTRODUCTION TO DIGITAL SYSTEMS DESIGN. Week 2 Dr. Srinivas Shakkottai Dept. of Electrical and Computer Engineering ECEN 248: INTRODUCTION TO DIGITAL SYSTEMS DESIGN Week 2 Dr. Srinivas Shakkottai Dept. of Electrical and Computer Engineering Boolean Algebra Boolean Algebra A Boolean algebra is defined with: A set of

More information

Week-I. Combinational Logic & Circuits

Week-I. Combinational Logic & Circuits Week-I Combinational Logic & Circuits Overview Binary logic operations and gates Switching algebra Algebraic Minimization Standard forms Karnaugh Map Minimization Other logic operators IC families and

More information

Chapter 2 Boolean Algebra and Logic Gates

Chapter 2 Boolean Algebra and Logic Gates Ch1: Digital Systems and Binary Numbers Ch2: Ch3: Gate-Level Minimization Ch4: Combinational Logic Ch5: Synchronous Sequential Logic Ch6: Registers and Counters Switching Theory & Logic Design Prof. Adnan

More information

211: Computer Architecture Summer 2016

211: Computer Architecture Summer 2016 211: Computer Architecture Summer 2016 Liu Liu Topic: Storage Project3 Digital Logic - Storage: Recap - Review: cache hit rate - Project3 - Digital Logic: - truth table => SOP - simplification: Boolean

More information

CHAPTER 2 BOOLEAN ALGEBRA

CHAPTER 2 BOOLEAN ALGEBRA CHAPTER 2 BOOLEAN ALGEBRA This chapter in the book includes: Objectives Study Guide 2.1 Introduction 2.2 Basic Operations 2.3 Boolean Expressions and Truth Tables 2.4 Basic Theorems 2.5 Commutative, Associative,

More information

DIGITAL ELECTRONICS & it0203 Semester 3

DIGITAL ELECTRONICS & it0203 Semester 3 DIGITAL ELECTRONICS & it0203 Semester 3 P.Rajasekar & C.M.T.Karthigeyan Asst.Professor SRM University, Kattankulathur School of Computing, Department of IT 8/22/2011 1 Disclaimer The contents of the slides

More information

BOOLEAN ALGEBRA TRUTH TABLE

BOOLEAN ALGEBRA TRUTH TABLE BOOLEAN ALGEBRA TRUTH TABLE Truth table is a table which represents all the possible values of logical variables / statements along with all the possible results of the given combinations of values. Eg:

More information

CDA 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 CDA 3200 Digital Systems Instructor: Dr. Janusz Zalewski Developed by: Dr. Dahai Guo Spring 2012 Outline Combinational Logic Design Using a Truth Table Minterm and Maxterm Expansions General Minterm and

More information

BOOLEAN ALGEBRA CLASS XII. Presented By : Dinesh Patel PGT CS KV IIT Powai

BOOLEAN ALGEBRA CLASS XII. Presented By : Dinesh Patel PGT CS KV IIT Powai BOOLEAN ALGEBRA CLASS II Presented By : Dinesh Patel PGT CS KV IIT Powai Introduction Boolean Algebra is a set of rules and regulation which is suitable for Digital Circuits, whose answer is either True

More information

E&CE 223 Digital Circuits & Systems. Lecture Transparencies (Boolean Algebra & Logic Gates) M. Sachdev

E&CE 223 Digital Circuits & Systems. Lecture Transparencies (Boolean Algebra & Logic Gates) M. Sachdev E&CE 223 Digital Circuits & Systems Lecture Transparencies (Boolean Algebra & Logic Gates) M. Sachdev 4 of 92 Section 2: Boolean Algebra & Logic Gates Major topics Boolean algebra NAND & NOR gates Boolean

More information

Chapter 2 Combinational Logic Circuits

Chapter 2 Combinational Logic Circuits Logic and Computer Design Fundamentals Chapter 2 Combinational Logic Circuits Part 1 Gate Circuits and Boolean Equations Charles Kime & Thomas Kaminski 2008 Pearson Education, Inc. Overview Part 1 Gate

More information

MC9211 Computer Organization

MC9211 Computer Organization MC92 Computer Organization Unit : Digital Fundamentals Lesson2 : Boolean Algebra and Simplification (KSB) (MCA) (29-2/ODD) (29 - / A&B) Coverage Lesson2 Introduces the basic postulates of Boolean Algebra

More information

Hardware Design I Chap. 2 Basis of logical circuit, logical expression, and logical function

Hardware Design I Chap. 2 Basis of logical circuit, logical expression, and logical function Hardware Design I Chap. 2 Basis of logical circuit, logical expression, and logical function E-mail: shimada@is.naist.jp Outline Combinational logical circuit Logic gate (logic element) Definition of combinational

More information

Chapter 2 Combinational logic

Chapter 2 Combinational logic Chapter 2 Combinational logic Chapter 2 is very easy. I presume you already took discrete mathemtics. The major part of chapter 2 is boolean algebra. II - Combinational Logic Copyright 24, Gaetano Borriello

More information

ELEC Digital Logic Circuits Fall 2014 Boolean Algebra (Chapter 2)

ELEC Digital Logic Circuits Fall 2014 Boolean Algebra (Chapter 2) ELEC 2200-002 Digital Logic Circuits Fall 2014 Boolean Algebra (Chapter 2) Vishwani D. Agrawal James J. Danaher Professor Department of Electrical and Computer Engineering Auburn University, Auburn, AL

More information

Computer Organization I

Computer Organization I Computer Organization I Lecture 6: Boolean Algebra /2/29 Wei Lu CS283 Overview Two Principles in Boolean Algebra () Duality Principle (2) Complement Principle Standard Form of Logic Expression () Sum of

More information

KP/Worksheets: Propositional Logic, Boolean Algebra and Computer Hardware Page 1 of 8

KP/Worksheets: Propositional Logic, Boolean Algebra and Computer Hardware Page 1 of 8 KP/Worksheets: Propositional Logic, Boolean Algebra and Computer Hardware Page 1 of 8 Q1. What is a Proposition? Q2. What are Simple and Compound Propositions? Q3. What is a Connective? Q4. What are Sentential

More information

E&CE 223 Digital Circuits & Systems. Lecture Transparencies (Boolean Algebra & Logic Gates) M. Sachdev. Section 2: Boolean Algebra & Logic Gates

E&CE 223 Digital Circuits & Systems. Lecture Transparencies (Boolean Algebra & Logic Gates) M. Sachdev. Section 2: Boolean Algebra & Logic Gates Digital Circuits & Systems Lecture Transparencies (Boolean lgebra & Logic Gates) M. Sachdev 4 of 92 Section 2: Boolean lgebra & Logic Gates Major topics Boolean algebra NND & NOR gates Boolean algebra

More information

T9: Covering. Prove true by: Method 1: Perfect induction Method 2: Using other theorems and axioms. Number Theorem. T9 B (B+C) = B Covering

T9: Covering. Prove true by: Method 1: Perfect induction Method 2: Using other theorems and axioms. Number Theorem. T9 B (B+C) = B Covering T9: Covering Number Theorem Name T9 B (B+C) = B Covering Prove true by: Method 1: Perfect induction Method 2: Using other theorems and axioms Chapter 2 T9: Covering Number Theorem Name T9 B (B+C)

More information

Combinational Logic. Review of Combinational Logic 1

Combinational Logic. Review of Combinational Logic 1 Combinational Logic! Switches -> Boolean algebra! Representation of Boolean functions! Logic circuit elements - logic gates! Regular logic structures! Timing behavior of combinational logic! HDLs and combinational

More information

Minimization techniques

Minimization techniques Pune Vidyarthi Griha s COLLEGE OF ENGINEERING, NSIK - 4 Minimization techniques By Prof. nand N. Gharu ssistant Professor Computer Department Combinational Logic Circuits Introduction Standard representation

More information

Chapter 7 Logic Circuits

Chapter 7 Logic Circuits Chapter 7 Logic Circuits Goal. Advantages of digital technology compared to analog technology. 2. Terminology of Digital Circuits. 3. Convert Numbers between Decimal, Binary and Other forms. 5. Binary

More information

Lecture 22 Chapters 3 Logic Circuits Part 1

Lecture 22 Chapters 3 Logic Circuits Part 1 Lecture 22 Chapters 3 Logic Circuits Part 1 LC-3 Data Path Revisited How are the components Seen here implemented? 5-2 Computing Layers Problems Algorithms Language Instruction Set Architecture Microarchitecture

More information

Administrative Notes. Chapter 2 <9>

Administrative Notes. Chapter 2 <9> Administrative Notes Note: New homework instructions starting with HW03 Homework is due at the beginning of class Homework must be organized, legible (messy is not), and stapled to be graded Chapter 2

More information

Ch 2. Combinational Logic. II - Combinational Logic Contemporary Logic Design 1

Ch 2. Combinational Logic. II - Combinational Logic Contemporary Logic Design 1 Ch 2. Combinational Logic II - Combinational Logic Contemporary Logic Design 1 Combinational logic Define The kind of digital system whose output behavior depends only on the current inputs memoryless:

More information

Part 5: Digital Circuits

Part 5: Digital Circuits Characteristics of any number system are: Part 5: Digital Circuits 5.: Number Systems & Code Conversions. ase or radix is equal to the number of possible symbols in the system 2. The largest value of digit

More information

Boolean Algebra and Digital Logic

Boolean Algebra and Digital Logic All modern digital computers are dependent on circuits that implement Boolean functions. We shall discuss two classes of such circuits: Combinational and Sequential. The difference between the two types

More information

2.2: Logical Equivalence: The Laws of Logic

2.2: Logical Equivalence: The Laws of Logic Example (2.7) For primitive statement p and q, construct a truth table for each of the following compound statements. a) p q b) p q Here we see that the corresponding truth tables for two statement p q

More information

Logic Synthesis and Verification

Logic Synthesis and Verification Logic Synthesis and Verification Boolean Algebra Jie-Hong Roland Jiang 江介宏 Department of Electrical Engineering National Taiwan University Fall 2014 1 2 Boolean Algebra Reading F. M. Brown. Boolean Reasoning:

More information

Contents. Chapter 2 Digital Circuits Page 1 of 30

Contents. Chapter 2 Digital Circuits Page 1 of 30 Chapter 2 Digital Circuits Page 1 of 30 Contents Contents... 1 2 Digital Circuits... 2 2.1 Binary Numbers... 2 2.2 Binary Switch... 4 2.3 Basic Logic Operators and Logic Expressions... 5 2.4 Truth Tables...

More information

1 Boolean Algebra Simplification

1 Boolean Algebra Simplification cs281: Computer Organization Lab3 Prelab Our objective in this prelab is to lay the groundwork for simplifying boolean expressions in order to minimize the complexity of the resultant digital logic circuit.

More information

Boolean Algebra and Logic Simplification

Boolean Algebra and Logic Simplification S302 Digital Logic Design Boolean Algebra and Logic Simplification Boolean Analysis of Logic ircuits, evaluating of Boolean expressions, representing the operation of Logic circuits and Boolean expressions

More information

Combinational Logic Design Principles

Combinational Logic Design Principles Combinational Logic Design Principles Switching algebra Doru Todinca Department of Computers Politehnica University of Timisoara Outline Introduction Switching algebra Axioms of switching algebra Theorems

More information

CHAPTER 12 Boolean Algebra

CHAPTER 12 Boolean Algebra 318 Chapter 12 Boolean Algebra CHAPTER 12 Boolean Algebra SECTION 12.1 Boolean Functions 2. a) Since x 1 = x, the only solution is x = 0. b) Since 0 + 0 = 0 and 1 + 1 = 1, the only solution is x = 0. c)

More information

Midterm1 Review. Jan 24 Armita

Midterm1 Review. Jan 24 Armita Midterm1 Review Jan 24 Armita Outline Boolean Algebra Axioms closure, Identity elements, complements, commutativity, distributivity theorems Associativity, Duality, De Morgan, Consensus theorem Shannon

More information

COS 140: Foundations of Computer Science

COS 140: Foundations of Computer Science COS 140: Foundations of Computer Science Boolean Algebra Fall 2018 Introduction 3 Problem................................................................. 3 Boolean algebra...........................................................

More information

CSE 140, Lecture 2 Combinational Logic CK Cheng CSE Dept. UC San Diego

CSE 140, Lecture 2 Combinational Logic CK Cheng CSE Dept. UC San Diego CSE 140, Lecture 2 Combinational Logic CK Cheng CSE Dept. UC San Diego 1 Combinational Logic Outlines 1. Introduction 1. Scope 2. Review of Boolean lgebra 3. Review: Laws/Theorems and Digital Logic 2.

More information

CHAPTER1: Digital Logic Circuits Combination Circuits

CHAPTER1: Digital Logic Circuits Combination Circuits CS224: Computer Organization S.KHABET CHAPTER1: Digital Logic Circuits Combination Circuits 1 PRIMITIVE LOGIC GATES Each of our basic operations can be implemented in hardware using a primitive logic gate.

More information

Number System conversions

Number System conversions Number System conversions Number Systems The system used to count discrete units is called number system. There are four systems of arithmetic which are often used in digital electronics. Decimal Number

More information

CS 121 Digital Logic Design. Chapter 2. Teacher Assistant. Hanin Abdulrahman

CS 121 Digital Logic Design. Chapter 2. Teacher Assistant. Hanin Abdulrahman CS 121 Digital Logic Design Chapter 2 Teacher Assistant Hanin Abdulrahman 1 2 Outline 2.2 Basic Definitions 2.3 Axiomatic Definition of Boolean Algebra. 2.4 Basic Theorems and Properties 2.5 Boolean Functions

More information

Chapter-2 BOOLEAN ALGEBRA

Chapter-2 BOOLEAN ALGEBRA Chapter-2 BOOLEAN ALGEBRA Introduction: An algebra that deals with binary number system is called Boolean Algebra. It is very power in designing logic circuits used by the processor of computer system.

More information

Propositional Calculus: Formula Simplification, Essential Laws, Normal Forms

Propositional Calculus: Formula Simplification, Essential Laws, Normal Forms P Formula Simplification, Essential Laws, Normal Forms Lila Kari University of Waterloo P Formula Simplification, Essential Laws, Normal CS245, Forms Logic and Computation 1 / 26 Propositional calculus

More information

EC-121 Digital Logic Design

EC-121 Digital Logic Design EC-121 Digital Logic Design Lecture 2 [Updated on 02-04-18] Boolean Algebra and Logic Gates Dr Hashim Ali Spring 2018 Department of Computer Science and Engineering HITEC University Taxila!1 Overview What

More information

Section 1.2 Propositional Equivalences. A tautology is a proposition which is always true. A contradiction is a proposition which is always false.

Section 1.2 Propositional Equivalences. A tautology is a proposition which is always true. A contradiction is a proposition which is always false. Section 1.2 Propositional Equivalences A tautology is a proposition which is always true. Classic Example: P P A contradiction is a proposition which is always false. Classic Example: P P A contingency

More information

Chapter 2 Boolean Algebra and Logic Gates

Chapter 2 Boolean Algebra and Logic Gates Chapter 2 Boolean Algebra and Logic Gates Huntington Postulates 1. (a) Closure w.r.t. +. (b) Closure w.r.t.. 2. (a) Identity element 0 w.r.t. +. x + 0 = 0 + x = x. (b) Identity element 1 w.r.t.. x 1 =

More information

Digital Circuit And Logic Design I. Lecture 3

Digital Circuit And Logic Design I. Lecture 3 Digital Circuit And Logic Design I Lecture 3 Outline Combinational Logic Design Principles (). Introduction 2. Switching algebra 3. Combinational-circuit analysis 4. Combinational-circuit synthesis Panupong

More information

ELC224C. Karnaugh Maps

ELC224C. Karnaugh Maps KARNAUGH MAPS Function Simplification Algebraic Simplification Half Adder Introduction to K-maps How to use K-maps Converting to Minterms Form Prime Implicants and Essential Prime Implicants Example on

More information

Review for Test 1 : Ch1 5

Review for Test 1 : Ch1 5 Review for Test 1 : Ch1 5 October 5, 2006 Typeset by FoilTEX Positional Numbers 527.46 10 = (5 10 2 )+(2 10 1 )+(7 10 0 )+(4 10 1 )+(6 10 2 ) 527.46 8 = (5 8 2 ) + (2 8 1 ) + (7 8 0 ) + (4 8 1 ) + (6 8

More information

Lecture 2 Review on Digital Logic (Part 1)

Lecture 2 Review on Digital Logic (Part 1) Lecture 2 Review on Digital Logic (Part 1) Xuan Silvia Zhang Washington University in St. Louis http://classes.engineering.wustl.edu/ese461/ Grading Engagement 5% Review Quiz 10% Homework 10% Labs 40%

More information

ENG2410 Digital Design Combinational Logic Circuits

ENG2410 Digital Design Combinational Logic Circuits ENG240 Digital Design Combinational Logic Circuits Fall 207 S. Areibi School of Engineering University of Guelph Binary variables Binary Logic Can be 0 or (T or F, low or high) Variables named with single

More information

Boolean Algebra CHAPTER 15

Boolean Algebra CHAPTER 15 CHAPTER 15 Boolean Algebra 15.1 INTRODUCTION Both sets and propositions satisfy similar laws, which are listed in Tables 1-1 and 4-1 (in Chapters 1 and 4, respectively). These laws are used to define an

More information

WEEK 2.1 BOOLEAN ALGEBRA

WEEK 2.1 BOOLEAN ALGEBRA WEEK 2.1 BOOLEAN ALGEBRA 1 Boolean Algebra Boolean algebra was introduced in 1854 by George Boole and in 1938 was shown by C. E. Shannon to be useful for manipulating Boolean logic functions. The postulates

More information

Chapter 2 Combinational

Chapter 2 Combinational Computer Engineering 1 (ECE290) Chapter 2 Combinational Logic Circuits Part 1 Gate Circuits and Boolean Equations HOANG Trang Reference: 2008 Pearson Education, Inc. Overview Part 1 Gate Circuits and Boolean

More information

Chapter 2 Combinational Logic Circuits

Chapter 2 Combinational Logic Circuits Logic and Computer Design Fundamentals Chapter 2 Combinational Logic Circuits Part 2 Circuit Optimization Goal: To obtain the simplest implementation for a given function Optimization is a more formal

More information

Digital Logic Design ABC. Representing Logic Operations. Dr. Kenneth Wong. Determining output level from a diagram. Laws of Boolean Algebra

Digital Logic Design ABC. Representing Logic Operations. Dr. Kenneth Wong. Determining output level from a diagram. Laws of Boolean Algebra Digital Logic Design ENGG1015 1 st Semester, 2011 Representing Logic Operations Each function can be represented equivalently in 3 ways: Truth table Boolean logic expression Schematics Truth Table Dr.

More information

Unit 2 Session - 6 Combinational Logic Circuits

Unit 2 Session - 6 Combinational Logic Circuits Objectives Unit 2 Session - 6 Combinational Logic Circuits Draw 3- variable and 4- variable Karnaugh maps and use them to simplify Boolean expressions Understand don t Care Conditions Use the Product-of-Sums

More information

Lecture 6: Manipulation of Algebraic Functions, Boolean Algebra, Karnaugh Maps

Lecture 6: Manipulation of Algebraic Functions, Boolean Algebra, Karnaugh Maps EE210: Switching Systems Lecture 6: Manipulation of Algebraic Functions, Boolean Algebra, Karnaugh Maps Prof. YingLi Tian Feb. 21/26, 2019 Department of Electrical Engineering The City College of New York

More information

Chapter 2: Boolean Algebra and Logic Gates

Chapter 2: Boolean Algebra and Logic Gates Chapter 2: Boolean Algebra and Logic Gates Mathematical methods that simplify binary logics or circuits rely primarily on Boolean algebra. Boolean algebra: a set of elements, a set of operators, and a

More information

1. Name the person who developed Boolean algebra

1. Name the person who developed Boolean algebra MATHEMATIC CENTER D96 MUNIRKA VILLAGE NEW DELHI 67 & VIKAS PURI NEW DELHI CONTACT FOR COACHING MATHEMATICS FOR TH 2TH NDA DIPLOMA SSC CAT SAT CPT CONTACT FOR ADMISSION GUIDANCE B.TECH BBA BCA, MCA MBA

More information

Karnaugh Maps Objectives

Karnaugh Maps Objectives Karnaugh Maps Objectives For Karnaugh Maps of up to 5 variables Plot a function from algebraic, minterm or maxterm form Obtain minimum Sum of Products and Product of Sums Understand the relationship between

More information

Propositional Logic. Logical Expressions. Logic Minimization. CNF and DNF. Algebraic Laws for Logical Expressions CSC 173

Propositional Logic. Logical Expressions. Logic Minimization. CNF and DNF. Algebraic Laws for Logical Expressions CSC 173 Propositional Logic CSC 17 Propositional logic mathematical model (or algebra) for reasoning about the truth of logical expressions (propositions) Logical expressions propositional variables or logical

More information

Slide Set 3. for ENEL 353 Fall Steve Norman, PhD, PEng. Electrical & Computer Engineering Schulich School of Engineering University of Calgary

Slide Set 3. for ENEL 353 Fall Steve Norman, PhD, PEng. Electrical & Computer Engineering Schulich School of Engineering University of Calgary Slide Set 3 for ENEL 353 Fall 2016 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Fall Term, 2016 SN s ENEL 353 Fall 2016 Slide Set 3 slide

More information

Digital Logic Design. Combinational Logic

Digital Logic Design. Combinational Logic Digital Logic Design Combinational Logic Minterms A product term is a term where literals are ANDed. Example: x y, xz, xyz, A minterm is a product term in which all variables appear exactly once, in normal

More information

Introduction to Digital Logic Missouri S&T University CPE 2210 Karnaugh Maps

Introduction to Digital Logic Missouri S&T University CPE 2210 Karnaugh Maps Introduction to Digital Logic Missouri S&T University CPE 2210 Karnaugh Maps Egemen K. Çetinkaya Egemen K. Çetinkaya Department of Electrical & Computer Engineering Missouri University of Science and Technology

More information

Logic and Computer Design Fundamentals. Chapter 2 Combinational Logic Circuits. Part 1 Gate Circuits and Boolean Equations

Logic and Computer Design Fundamentals. Chapter 2 Combinational Logic Circuits. Part 1 Gate Circuits and Boolean Equations Logic and Computer Design Fundamentals Chapter 2 Combinational Logic Circuits Part Gate Circuits and Boolean Equations Charles Kime & Thomas Kaminski 28 Pearson Education, Inc. (Hperlinks are active in

More information

Logic and Boolean algebra

Logic and Boolean algebra Computer Mathematics Week 7 Logic and Boolean algebra College of Information Science and Engineering Ritsumeikan University last week coding theory channel coding information theory concept Hamming distance

More information

BOOLEAN ALGEBRA. Introduction. 1854: Logical algebra was published by George Boole known today as Boolean Algebra

BOOLEAN ALGEBRA. Introduction. 1854: Logical algebra was published by George Boole known today as Boolean Algebra BOOLEAN ALGEBRA Introduction 1854: Logical algebra was published by George Boole known today as Boolean Algebra It s a convenient way and systematic way of expressing and analyzing the operation of logic

More information

Boolean Algebra, Gates and Circuits

Boolean Algebra, Gates and Circuits Boolean Algebra, Gates and Circuits Kasper Brink November 21, 2017 (Images taken from Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc.) Outline Last week: Von

More information

Simplification of Boolean Functions. Dept. of CSE, IEM, Kolkata

Simplification of Boolean Functions. Dept. of CSE, IEM, Kolkata Simplification of Boolean Functions Dept. of CSE, IEM, Kolkata 1 Simplification of Boolean Functions: An implementation of a Boolean Function requires the use of logic gates. A smaller number of gates,

More information

Review Getting the truth table

Review Getting the truth table Digital Circuits Review Getting the truth table The first step in designing a digital circuit usually is to get the truth table. That is, for every input combination, figure out what an output bit should

More information

CSC9R6 Computer Design. Practical Digital Logic

CSC9R6 Computer Design. Practical Digital Logic CSC9R6 Computer Design Practical Digital Logic 1 References (for this part of CSC9R6) Hamacher et al: Computer Organization App A. In library Floyd: Digital Fundamentals Ch 1, 3-6, 8-10 web page: www.prenhall.com/floyd/

More information

Logic Gate Level. Part 2

Logic Gate Level. Part 2 Logic Gate Level Part 2 Constructing Boolean expression from First method: write nonparenthesized OR of ANDs Each AND is a 1 in the result column of the truth table Works best for table with relatively

More information

CS206 Lecture 03. Propositional Logic Proofs. Plan for Lecture 03. Axioms. Normal Forms

CS206 Lecture 03. Propositional Logic Proofs. Plan for Lecture 03. Axioms. Normal Forms CS206 Lecture 03 Propositional Logic Proofs G. Sivakumar Computer Science Department IIT Bombay siva@iitb.ac.in http://www.cse.iitb.ac.in/ siva Page 1 of 12 Fri, Jan 03, 2003 Plan for Lecture 03 Axioms

More information

Boolean Algebra and Logic Gates

Boolean Algebra and Logic Gates Boolean Algebra and Logic Gates ( 范倫達 ), Ph. D. Department of Computer Science National Chiao Tung University Taiwan, R.O.C. Fall, 2017 ldvan@cs.nctu.edu.tw http://www.cs.nctu.edu.tw/~ldvan/ Outlines Basic

More information

Solutions to Assignment No 5 Digital Techniques Fall 2007

Solutions to Assignment No 5 Digital Techniques Fall 2007 Solutions to Assignment No 5 Digital Techniques Fall 2007 André Deutz October 19, 2007 1 Simplifying and Manipulating Boolean Expressions 1. Simplification (a) Simplify each of the following expressions,

More information

Possible logic functions of two variables

Possible logic functions of two variables ombinational logic asic logic oolean algebra, proofs by re-writing, proofs by perfect induction logic functions, truth tables, and switches NOT, ND, OR, NND, NOR, OR,..., minimal set Logic realization

More information

II. COMBINATIONAL LOGIC DESIGN. - algebra defined on a set of 2 elements, {0, 1}, with binary operators multiply (AND), add (OR), and invert (NOT):

II. COMBINATIONAL LOGIC DESIGN. - algebra defined on a set of 2 elements, {0, 1}, with binary operators multiply (AND), add (OR), and invert (NOT): ENGI 386 Digital Logic II. COMBINATIONAL LOGIC DESIGN Combinational Logic output of digital system is only dependent on current inputs (i.e., no memory) (a) Boolean Algebra - developed by George Boole

More information

Slides for Lecture 10

Slides for Lecture 10 Slides for Lecture 10 ENEL 353: Digital Circuits Fall 2013 Term Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary 30 September, 2013 ENEL 353

More information

Chapter 2 Combinational Logic Circuits

Chapter 2 Combinational Logic Circuits Logic and Computer Design Fundamentals Chapter 2 Combinational Logic Circuits Part 1 Gate Circuits and Boolean Equations Chapter 2 - Part 1 2 Chapter 2 - Part 1 3 Chapter 2 - Part 1 4 Chapter 2 - Part

More information

Digitalteknik EIT020. Lecture 10: Kanaugh Maps

Digitalteknik EIT020. Lecture 10: Kanaugh Maps Digitalteknik EIT020 Lecture 10: Kanaugh Maps October 2, 2015 Note regarding notation Some notation in the Compendium has changed from older versions. Normal forms for Boolean functions DNF (Disjunctive

More information

Chapter 2 Boolean Algebra and Logic Gates

Chapter 2 Boolean Algebra and Logic Gates Chapter 2 Boolean Algebra and Logic Gates The most common postulates used to formulate various algebraic structures are: 1. Closure. N={1,2,3,4 }, for any a,b N we obtain a unique c N by the operation

More information

EEE130 Digital Electronics I Lecture #4

EEE130 Digital Electronics I Lecture #4 EEE130 Digital Electronics I Lecture #4 - Boolean Algebra and Logic Simplification - By Dr. Shahrel A. Suandi Topics to be discussed 4-1 Boolean Operations and Expressions 4-2 Laws and Rules of Boolean

More information

Review. EECS Components and Design Techniques for Digital Systems. Lec 06 Minimizing Boolean Logic 9/ Review: Canonical Forms

Review. EECS Components and Design Techniques for Digital Systems. Lec 06 Minimizing Boolean Logic 9/ Review: Canonical Forms Review EECS 150 - Components and Design Techniques for Digital Systems Lec 06 Minimizing Boolean Logic 9/16-04 David Culler Electrical Engineering and Computer Sciences University of California, Berkeley

More information