SlideShare a Scribd company logo
1 of 19
LECTURE 1
Disrete
mathematics
and its
application by
rosen
7th edition
THE FOUNDATIONS:
LOGIC AND PROOFS
1.1 PROPOSITIONAL
LOGIC
 A proposition is a declarative sentence (that is, a sentence
that declares a fact) that is either true or false, but not both
 1 + 1 = 2 (true)
 4 + 9 = 13 (true)
 Islamabad is capital of Pakistan (true)
 Karachi is the largest city of Pakistan (true)
 100+9 = 111 (false)
 Some sentences are not prepositions
 Where is my class? (un decelerated sentence)
 What is the time by your watch? (un decelerated sentence)
 x + y = ? ( will be prepositions when value is assigned)
 Z +w * r = p
PROPOSITIONS
 We use letters to denote propositional variables (or statement
variables).
 The truth value of a proposition is true, denoted by T, if it is a
true proposition.
 The truth value of a proposition is false, denoted by F, if it is a
false proposition.
 Many mathematical statements are constructed by combining
one or more propositions. They are called compound
propositions, are formed from existing propositions using
logical operators.
PROPOSITIONS
 Definition: Let p be a proposition. The negation of p, denoted
by¬p (also denoted by p), is the statement “It is not the case
that p.”
 The proposition ¬p is read “not p.” The truth value of the
negation of p, ¬p, is the opposite of the truth value of p.
 Also denoted as “ ′ ”
 Examples:
 p := Sir PC is running Windows OS
 ¬p := sir PC is not running Windows OS
 p := a + b = c
 p := a + b ≠ c
NEGATION
The Truth Table for the Negation of a Proposition
p ¬p
T
F
F
T
 Definition: Let p and q be propositions. The conjunction of p
and q, denoted by p ∧ q, is the proposition “p and q.” The
conjunction p ∧ q is true when both p and q are true and is
false otherwise.
 Also known as UNION, AND, BIT WISE AND, AGREGATION
 Denoted as ^ , &, AND
CONJUNCTION
The Truth Table for the conjunction of a Proposition
p q p ^ q
T T
T F
F T
F F
T
F
F
F
 Definition: Let p and q be propositions. The disjunction of p
and q, denoted by p ∨ q, is the proposition “p or q.” The
disjunction p ∨ q is false when both p and q are false and is
true otherwise.
 Also known as OR, BIT WISE OR, SEGREGATION
 Denoted as v , || , OR
DISJUNCTION
The Truth Table for the conjunction of a Proposition
p q p v q
T T
T F
F T
F F
T
T
T
F
 Definition: Let p and q be propositions. The exclusive or of p
and q, denoted by p ⊕ q, is the proposition that is true when
exactly one of p and q is true and is false otherwise.
 Also known as ZORING
 Denoted as XOR , Ex OR, ⊕
EXCLUSIVE OR
The Truth Table for the conjunction of a Proposition
p q p ⊕ q
T T
T F
F T
F F
F
T
T
F
 Let p and q be propositions. The conditional statement p → q
is the proposition “if p, then q.” The conditional statement p
→ q is false when p is true and q is false, and true otherwise.
 In the conditional statement p → q, p is called the hypothesis
(or antecedent or premise) and q is called the conclusion (or
consequence).
 Denoted by 
CONDITIONAL STATEMENT
The Truth Table for the conjunction of a Proposition
p q p → q
T T
T F
F T
F F
T
F
T
T
 The proposition q → p is called the converse of p → q.
 The converse, q → p, has no same truth value as p → q for all
cases.
 Formed from conditional statement.
CONVERSE
 The contrapositive of p → q is the proposition ¬q →¬p.
 only the contrapositive always has the same truth value as p
→ q.
 The contrapositive is false only when ¬p is false and ¬q is
true.
 Formed from conditional statement.
CONTRAPOSITIVE
The Truth Table for the CONTRAPOSITIVE of a Proposition
p q ¬p ¬q ¬p → ¬q
T T F F
T F F T
F T T F
F F T T
T
T
F
T
 Formed from conditional statement.
 The proposition ¬p →¬q is called the inverse of p → q.
 The converse, q → p, has no same truth value as p → q for all
cases.
INVERSE
 Let p and q be propositions. The biconditional statement p ↔
q is the proposition “p if and only if q.” The biconditional
statement p ↔ q is true when p and q have the same truth
values, and is false otherwise.
 Biconditional statements are also called bi-implications.
BICONDITIONAL
The Truth Table for the CONTRAPOSITIVE of a Proposition
q p q ↔ p
T T
T F
F T
F F
T
F
F
T
 Definition: When more that one above defined preposition
logic combines it is called as compound preposition.
 Example:
 (p^q)v(p’)
 (p ⊕ q) ^ (r v s)
COMPOUND PROPOSITIONS
 (p ∨¬q) → (p ∧ q)
COMPOUND PROPOSITIONS (TRUTH
TABLE)
The Truth Table of (p ∨¬q) → (p ∧ q)
p q ¬q p ∨¬q p ∧ q (p ∨¬q) → (p ∧ q)
T
T
F
F
T
F
T
F
F
T
F
T
T
T
F
T
T
F
F
F
T
F
T
F
Precedence of Logical Operators.
Operator Precedence
¬ 1
^ 2
v 3
→ 4
↔ 5
XOR 6
PRECEDENCE OF LOGICAL OPERATORS
 Computers represent information using bits
 A bit is a symbol with two possible values, namely, 0 (zero)
and 1 (one).
 A bit can be used to represent a truth value, because there
are two truth values, namely, true and false.
 1 bit to represent true and a 0 bit to represent false. That is,
1 represents T (true), 0 represents F (false).
 A variable is called a Boolean variable if its value is either
true or false. Consequently, a Boolean variable can be
represented using a bit.
LOGIC AND BIT OPERATIONS
Truth Value Bit
T 1
F 0
 Computer bit operations correspond to the logical
connectives.
 By replacing true by a one and false by a zero in the truth
tables for the operators ∧ (AND) , ∨ (OR) , and ⊕ (XOR) , the
tables shown for the corresponding bit operations are
obtained.
LOGIC AND BIT OPERATIONS
Table for the Bit Operators OR, AND, and XOR.
p q p ^ q p v q p XOR q
0
0
1
1
0
1
0
1
0
0
0
1
0
1
1
1
0
1
1
0
 01 1011 0110
11 0001 1101
11 1011 1111 bitwise OR
01 0001 0100 bitwise AND
10 1010 1011 bitwise XOR
 11 1010 1110
11 0001 1101
11 1011 1111 bitwise OR
11 0000 1100 bitwise AND
00 1010 0011 bitwise XOR
BITWISE OR, BITWISE AND, AND BITWISE
XOR

More Related Content

What's hot

What's hot (20)

Proof by contradiction
Proof by contradictionProof by contradiction
Proof by contradiction
 
Formal Logic - Lesson 4 - Tautology, Contradiction and Contingency
Formal Logic - Lesson 4 - Tautology, Contradiction and ContingencyFormal Logic - Lesson 4 - Tautology, Contradiction and Contingency
Formal Logic - Lesson 4 - Tautology, Contradiction and Contingency
 
Set in discrete mathematics
Set in discrete mathematicsSet in discrete mathematics
Set in discrete mathematics
 
Propositional logic
Propositional logicPropositional logic
Propositional logic
 
Discrete math Truth Table
Discrete math Truth TableDiscrete math Truth Table
Discrete math Truth Table
 
Truth table
Truth tableTruth table
Truth table
 
CMSC 56 | Lecture 2: Propositional Equivalences
CMSC 56 | Lecture 2: Propositional EquivalencesCMSC 56 | Lecture 2: Propositional Equivalences
CMSC 56 | Lecture 2: Propositional Equivalences
 
Lecture 2 predicates quantifiers and rules of inference
Lecture 2 predicates quantifiers and rules of inferenceLecture 2 predicates quantifiers and rules of inference
Lecture 2 predicates quantifiers and rules of inference
 
Python programming : Control statements
Python programming : Control statementsPython programming : Control statements
Python programming : Control statements
 
Predicates and Quantifiers
Predicates and QuantifiersPredicates and Quantifiers
Predicates and Quantifiers
 
UGC NET Computer Science & Application book.pdf [Sample]
UGC NET Computer Science & Application book.pdf  [Sample]UGC NET Computer Science & Application book.pdf  [Sample]
UGC NET Computer Science & Application book.pdf [Sample]
 
Datatypes in python
Datatypes in pythonDatatypes in python
Datatypes in python
 
Unit 1 rules of inference
Unit 1  rules of inferenceUnit 1  rules of inference
Unit 1 rules of inference
 
Propositions
PropositionsPropositions
Propositions
 
Logic (PROPOSITIONS)
Logic (PROPOSITIONS)Logic (PROPOSITIONS)
Logic (PROPOSITIONS)
 
Graphs - Discrete Math
Graphs - Discrete MathGraphs - Discrete Math
Graphs - Discrete Math
 
Mathematical Logic
Mathematical LogicMathematical Logic
Mathematical Logic
 
Slides Chapter10.1 10.2
Slides Chapter10.1 10.2Slides Chapter10.1 10.2
Slides Chapter10.1 10.2
 
Truth table
Truth tableTruth table
Truth table
 
Logic&proof
Logic&proofLogic&proof
Logic&proof
 

Similar to Disrete mathematics and_its application_by_rosen _7th edition_lecture_1

logicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdflogicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdfPradeeshSAI
 
Computer Organization and Assembly Language
Computer Organization and Assembly LanguageComputer Organization and Assembly Language
Computer Organization and Assembly LanguageRaquel Mulles
 
Chapter 1 Logic of Compound Statements
Chapter 1 Logic of Compound StatementsChapter 1 Logic of Compound Statements
Chapter 1 Logic of Compound Statementsguestd166eb5
 
lectures in prolog in order to advance in artificial intelligence
lectures in prolog in order to advance in artificial intelligencelectures in prolog in order to advance in artificial intelligence
lectures in prolog in order to advance in artificial intelligenceAlaaCHOUMANE
 
Chapter 1: The Foundations: Logic and Proofs
Chapter 1: The Foundations: Logic and ProofsChapter 1: The Foundations: Logic and Proofs
Chapter 1: The Foundations: Logic and ProofsProfSHananeel
 
Chapter 01 - p1.pdf
Chapter 01 - p1.pdfChapter 01 - p1.pdf
Chapter 01 - p1.pdfsmarwaneid
 
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptxssuser92109d
 
Mathematical Logic - Part 1
Mathematical Logic - Part 1Mathematical Logic - Part 1
Mathematical Logic - Part 1blaircomp2003
 
Discrete mathematics Chapter1 presentation.ppt
Discrete mathematics Chapter1 presentation.pptDiscrete mathematics Chapter1 presentation.ppt
Discrete mathematics Chapter1 presentation.pptNandiniSR2
 
Mathematical foundations of computer science
Mathematical foundations of computer scienceMathematical foundations of computer science
Mathematical foundations of computer scienceBindhuBhargaviTalasi
 

Similar to Disrete mathematics and_its application_by_rosen _7th edition_lecture_1 (20)

logicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdflogicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdf
 
Per3 logika&pembuktian
Per3 logika&pembuktianPer3 logika&pembuktian
Per3 logika&pembuktian
 
Computer Organization and Assembly Language
Computer Organization and Assembly LanguageComputer Organization and Assembly Language
Computer Organization and Assembly Language
 
Logic
LogicLogic
Logic
 
Chapter 1 Logic of Compound Statements
Chapter 1 Logic of Compound StatementsChapter 1 Logic of Compound Statements
Chapter 1 Logic of Compound Statements
 
dm-logic.pdf
dm-logic.pdfdm-logic.pdf
dm-logic.pdf
 
lectures in prolog in order to advance in artificial intelligence
lectures in prolog in order to advance in artificial intelligencelectures in prolog in order to advance in artificial intelligence
lectures in prolog in order to advance in artificial intelligence
 
Chapter 1: The Foundations: Logic and Proofs
Chapter 1: The Foundations: Logic and ProofsChapter 1: The Foundations: Logic and Proofs
Chapter 1: The Foundations: Logic and Proofs
 
Mathematical Logic
Mathematical LogicMathematical Logic
Mathematical Logic
 
Chapter1p1 2.pptx
Chapter1p1 2.pptxChapter1p1 2.pptx
Chapter1p1 2.pptx
 
Chapter 01 - p1.pdf
Chapter 01 - p1.pdfChapter 01 - p1.pdf
Chapter 01 - p1.pdf
 
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
 
Chapter1p1.pdf
Chapter1p1.pdfChapter1p1.pdf
Chapter1p1.pdf
 
Slide subtopic 2
Slide subtopic 2Slide subtopic 2
Slide subtopic 2
 
Slide subtopic 2
Slide subtopic 2Slide subtopic 2
Slide subtopic 2
 
LOGIC
LOGICLOGIC
LOGIC
 
Mathematical Logic - Part 1
Mathematical Logic - Part 1Mathematical Logic - Part 1
Mathematical Logic - Part 1
 
Discrete mathematics Chapter1 presentation.ppt
Discrete mathematics Chapter1 presentation.pptDiscrete mathematics Chapter1 presentation.ppt
Discrete mathematics Chapter1 presentation.ppt
 
Mathematical foundations of computer science
Mathematical foundations of computer scienceMathematical foundations of computer science
Mathematical foundations of computer science
 
Logic - Logical Propositions
Logic - Logical Propositions Logic - Logical Propositions
Logic - Logical Propositions
 

Recently uploaded

Textile Waste In India/managing-textile-waste-in-India
Textile Waste In India/managing-textile-waste-in-IndiaTextile Waste In India/managing-textile-waste-in-India
Textile Waste In India/managing-textile-waste-in-Indiatheunitedindian7
 
Top^Clinic ^%[+27785538335__Safe*Women's clinic//Abortion Pills In Musina
Top^Clinic ^%[+27785538335__Safe*Women's clinic//Abortion Pills In MusinaTop^Clinic ^%[+27785538335__Safe*Women's clinic//Abortion Pills In Musina
Top^Clinic ^%[+27785538335__Safe*Women's clinic//Abortion Pills In Musinadoctorjoe1984
 
Income Tax Regime Dilemma – New VS. Old pdf
Income Tax Regime Dilemma – New VS. Old pdfIncome Tax Regime Dilemma – New VS. Old pdf
Income Tax Regime Dilemma – New VS. Old pdftaxguruedu
 
11052024_First India Newspaper Jaipur.pdf
11052024_First India Newspaper Jaipur.pdf11052024_First India Newspaper Jaipur.pdf
11052024_First India Newspaper Jaipur.pdfFIRST INDIA
 
12052024_First India Newspaper Jaipur.pdf
12052024_First India Newspaper Jaipur.pdf12052024_First India Newspaper Jaipur.pdf
12052024_First India Newspaper Jaipur.pdfFIRST INDIA
 
10052024_First India Newspaper Jaipur.pdf
10052024_First India Newspaper Jaipur.pdf10052024_First India Newspaper Jaipur.pdf
10052024_First India Newspaper Jaipur.pdfFIRST INDIA
 
Indian Economy: The Challenge Ahead Since India gained
Indian Economy: The Challenge Ahead Since India gainedIndian Economy: The Challenge Ahead Since India gained
Indian Economy: The Challenge Ahead Since India gainedalianwarrr55
 
Press-Information-Bureau-14-given-citizenship.pdf
Press-Information-Bureau-14-given-citizenship.pdfPress-Information-Bureau-14-given-citizenship.pdf
Press-Information-Bureau-14-given-citizenship.pdfbhavenpr
 
Analyzing Nepal's Third Investment Summit.pdf
Analyzing Nepal's Third Investment Summit.pdfAnalyzing Nepal's Third Investment Summit.pdf
Analyzing Nepal's Third Investment Summit.pdfYojana Investment
 
Decentralisation and local government in India
Decentralisation and local government in IndiaDecentralisation and local government in India
Decentralisation and local government in IndiaTulsiTiwari4
 

Recently uploaded (10)

Textile Waste In India/managing-textile-waste-in-India
Textile Waste In India/managing-textile-waste-in-IndiaTextile Waste In India/managing-textile-waste-in-India
Textile Waste In India/managing-textile-waste-in-India
 
Top^Clinic ^%[+27785538335__Safe*Women's clinic//Abortion Pills In Musina
Top^Clinic ^%[+27785538335__Safe*Women's clinic//Abortion Pills In MusinaTop^Clinic ^%[+27785538335__Safe*Women's clinic//Abortion Pills In Musina
Top^Clinic ^%[+27785538335__Safe*Women's clinic//Abortion Pills In Musina
 
Income Tax Regime Dilemma – New VS. Old pdf
Income Tax Regime Dilemma – New VS. Old pdfIncome Tax Regime Dilemma – New VS. Old pdf
Income Tax Regime Dilemma – New VS. Old pdf
 
11052024_First India Newspaper Jaipur.pdf
11052024_First India Newspaper Jaipur.pdf11052024_First India Newspaper Jaipur.pdf
11052024_First India Newspaper Jaipur.pdf
 
12052024_First India Newspaper Jaipur.pdf
12052024_First India Newspaper Jaipur.pdf12052024_First India Newspaper Jaipur.pdf
12052024_First India Newspaper Jaipur.pdf
 
10052024_First India Newspaper Jaipur.pdf
10052024_First India Newspaper Jaipur.pdf10052024_First India Newspaper Jaipur.pdf
10052024_First India Newspaper Jaipur.pdf
 
Indian Economy: The Challenge Ahead Since India gained
Indian Economy: The Challenge Ahead Since India gainedIndian Economy: The Challenge Ahead Since India gained
Indian Economy: The Challenge Ahead Since India gained
 
Press-Information-Bureau-14-given-citizenship.pdf
Press-Information-Bureau-14-given-citizenship.pdfPress-Information-Bureau-14-given-citizenship.pdf
Press-Information-Bureau-14-given-citizenship.pdf
 
Analyzing Nepal's Third Investment Summit.pdf
Analyzing Nepal's Third Investment Summit.pdfAnalyzing Nepal's Third Investment Summit.pdf
Analyzing Nepal's Third Investment Summit.pdf
 
Decentralisation and local government in India
Decentralisation and local government in IndiaDecentralisation and local government in India
Decentralisation and local government in India
 

Disrete mathematics and_its application_by_rosen _7th edition_lecture_1

  • 2. Disrete mathematics and its application by rosen 7th edition THE FOUNDATIONS: LOGIC AND PROOFS 1.1 PROPOSITIONAL LOGIC
  • 3.  A proposition is a declarative sentence (that is, a sentence that declares a fact) that is either true or false, but not both  1 + 1 = 2 (true)  4 + 9 = 13 (true)  Islamabad is capital of Pakistan (true)  Karachi is the largest city of Pakistan (true)  100+9 = 111 (false)  Some sentences are not prepositions  Where is my class? (un decelerated sentence)  What is the time by your watch? (un decelerated sentence)  x + y = ? ( will be prepositions when value is assigned)  Z +w * r = p PROPOSITIONS
  • 4.  We use letters to denote propositional variables (or statement variables).  The truth value of a proposition is true, denoted by T, if it is a true proposition.  The truth value of a proposition is false, denoted by F, if it is a false proposition.  Many mathematical statements are constructed by combining one or more propositions. They are called compound propositions, are formed from existing propositions using logical operators. PROPOSITIONS
  • 5.  Definition: Let p be a proposition. The negation of p, denoted by¬p (also denoted by p), is the statement “It is not the case that p.”  The proposition ¬p is read “not p.” The truth value of the negation of p, ¬p, is the opposite of the truth value of p.  Also denoted as “ ′ ”  Examples:  p := Sir PC is running Windows OS  ¬p := sir PC is not running Windows OS  p := a + b = c  p := a + b ≠ c NEGATION The Truth Table for the Negation of a Proposition p ¬p T F F T
  • 6.  Definition: Let p and q be propositions. The conjunction of p and q, denoted by p ∧ q, is the proposition “p and q.” The conjunction p ∧ q is true when both p and q are true and is false otherwise.  Also known as UNION, AND, BIT WISE AND, AGREGATION  Denoted as ^ , &, AND CONJUNCTION The Truth Table for the conjunction of a Proposition p q p ^ q T T T F F T F F T F F F
  • 7.  Definition: Let p and q be propositions. The disjunction of p and q, denoted by p ∨ q, is the proposition “p or q.” The disjunction p ∨ q is false when both p and q are false and is true otherwise.  Also known as OR, BIT WISE OR, SEGREGATION  Denoted as v , || , OR DISJUNCTION The Truth Table for the conjunction of a Proposition p q p v q T T T F F T F F T T T F
  • 8.  Definition: Let p and q be propositions. The exclusive or of p and q, denoted by p ⊕ q, is the proposition that is true when exactly one of p and q is true and is false otherwise.  Also known as ZORING  Denoted as XOR , Ex OR, ⊕ EXCLUSIVE OR The Truth Table for the conjunction of a Proposition p q p ⊕ q T T T F F T F F F T T F
  • 9.  Let p and q be propositions. The conditional statement p → q is the proposition “if p, then q.” The conditional statement p → q is false when p is true and q is false, and true otherwise.  In the conditional statement p → q, p is called the hypothesis (or antecedent or premise) and q is called the conclusion (or consequence).  Denoted by  CONDITIONAL STATEMENT The Truth Table for the conjunction of a Proposition p q p → q T T T F F T F F T F T T
  • 10.  The proposition q → p is called the converse of p → q.  The converse, q → p, has no same truth value as p → q for all cases.  Formed from conditional statement. CONVERSE
  • 11.  The contrapositive of p → q is the proposition ¬q →¬p.  only the contrapositive always has the same truth value as p → q.  The contrapositive is false only when ¬p is false and ¬q is true.  Formed from conditional statement. CONTRAPOSITIVE The Truth Table for the CONTRAPOSITIVE of a Proposition p q ¬p ¬q ¬p → ¬q T T F F T F F T F T T F F F T T T T F T
  • 12.  Formed from conditional statement.  The proposition ¬p →¬q is called the inverse of p → q.  The converse, q → p, has no same truth value as p → q for all cases. INVERSE
  • 13.  Let p and q be propositions. The biconditional statement p ↔ q is the proposition “p if and only if q.” The biconditional statement p ↔ q is true when p and q have the same truth values, and is false otherwise.  Biconditional statements are also called bi-implications. BICONDITIONAL The Truth Table for the CONTRAPOSITIVE of a Proposition q p q ↔ p T T T F F T F F T F F T
  • 14.  Definition: When more that one above defined preposition logic combines it is called as compound preposition.  Example:  (p^q)v(p’)  (p ⊕ q) ^ (r v s) COMPOUND PROPOSITIONS
  • 15.  (p ∨¬q) → (p ∧ q) COMPOUND PROPOSITIONS (TRUTH TABLE) The Truth Table of (p ∨¬q) → (p ∧ q) p q ¬q p ∨¬q p ∧ q (p ∨¬q) → (p ∧ q) T T F F T F T F F T F T T T F T T F F F T F T F
  • 16. Precedence of Logical Operators. Operator Precedence ¬ 1 ^ 2 v 3 → 4 ↔ 5 XOR 6 PRECEDENCE OF LOGICAL OPERATORS
  • 17.  Computers represent information using bits  A bit is a symbol with two possible values, namely, 0 (zero) and 1 (one).  A bit can be used to represent a truth value, because there are two truth values, namely, true and false.  1 bit to represent true and a 0 bit to represent false. That is, 1 represents T (true), 0 represents F (false).  A variable is called a Boolean variable if its value is either true or false. Consequently, a Boolean variable can be represented using a bit. LOGIC AND BIT OPERATIONS Truth Value Bit T 1 F 0
  • 18.  Computer bit operations correspond to the logical connectives.  By replacing true by a one and false by a zero in the truth tables for the operators ∧ (AND) , ∨ (OR) , and ⊕ (XOR) , the tables shown for the corresponding bit operations are obtained. LOGIC AND BIT OPERATIONS Table for the Bit Operators OR, AND, and XOR. p q p ^ q p v q p XOR q 0 0 1 1 0 1 0 1 0 0 0 1 0 1 1 1 0 1 1 0
  • 19.  01 1011 0110 11 0001 1101 11 1011 1111 bitwise OR 01 0001 0100 bitwise AND 10 1010 1011 bitwise XOR  11 1010 1110 11 0001 1101 11 1011 1111 bitwise OR 11 0000 1100 bitwise AND 00 1010 0011 bitwise XOR BITWISE OR, BITWISE AND, AND BITWISE XOR