The document discusses truth tables and logical connectives such as conjunction, disjunction, negation, implication and biconditionals. It provides examples of truth tables for compound propositions involving multiple variables. De Morgan's laws are explained, which state that the negation of a conjunction is the disjunction of the negations, and the negation of a disjunction is the conjunction of the negations. The concepts of tautologies, contradictions and logical equivalence are also covered.
This document provides an introduction to mathematical analysis by outlining key topics including:
- An overview of analysis and its focus on real-valued functions of a single real variable and their analytic properties like limits, continuity, and differentiability.
- A review of logic including definitions of statements, connectives, implications, and equivalences.
- An introduction to proof, discussing the difference between conjectures, theorems, lemmas, and corollaries and how proofs demonstrate statements are universally true or find counter examples.
This document covers a lecture on compound propositions and logical operators in discrete structures. It defines logical operators such as negation, conjunction, disjunction, exclusive or, implication, and biconditional. It provides truth tables for each operator and examples of how to write compound propositions using the operators. De Morgan's laws and their applications are discussed. The concepts of tautology, contradiction, logical equivalence and various laws of logic are also introduced.
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptxssuser92109d
This document provides an overview of logic and mathematical concepts including:
- Definitions of statements, propositions, negation, conjunction, disjunction and their truth tables
- Logical equivalence and how to prove it using truth tables or theorems
- Conditional, biconditional, and quantified statements
- Valid and invalid arguments
- Predicates and applying quantifiers to write statements in symbolic form
- Truth conditions for universal and existential propositions
- References used to adapt the content are cited
This document summarizes a lecture on discrete structures. It discusses logical equivalences, De Morgan's laws, tautologies and contradictions. It also covers laws of logic like distribution, identity and negation. Conditional propositions are defined as relating two propositions with "if-then". Truth tables are used to check logical equivalence and interpret conditionals. The contrapositive and biconditional are also introduced.
This document discusses logic and propositional logic. It covers the following topics:
- The history and applications of logic.
- Different types of statements and their grammar.
- Propositional logic including symbols, connectives, truth tables, and semantics.
- Quantifiers, universal and existential quantification, and properties of quantifiers.
- Normal forms such as disjunctive normal form and conjunctive normal form.
- Inference rules and the principle of mathematical induction, illustrated with examples.
Mathematical Logic - Discrete mathematics.pptxGayathri M
Mathematical logic is a branch of mathematics that deals with formal systems of reasoning and the principles that govern the structure of logical statements. In discrete mathematics, it is particularly important because it helps in understanding how to reason rigorously about mathematical objects and structures.
This document provides an overview of discrete structures for computer science. It discusses topics like:
- Logic and propositions - Expressing statements that are either true or false using logical operators like negation, conjunction, disjunction etc.
- Truth tables - Using tables to show the truth values of compound propositions formed by combining simpler propositions with logical operators.
- Logical equivalence - When two statement forms will always have the same truth value no matter the values of the variables.
- Essential topics covered in discrete structures like functions, relations, sets, graphs, trees, recursion, proof techniques and basics of counting.
Logic is important for mathematical reasoning, program design and electronic circuitry. Proposition
This document discusses discrete structures and logical operators. It defines logical connectives like negation, conjunction, disjunction, exclusive or, implication, and biconditional. It provides examples of using these connectives to write compound propositions and their truth tables. It also covers translating between English statements and logical expressions. Additional topics include tautologies, contradictions, logical equivalence, De Morgan's laws, and other laws of logic. Worked examples are provided to demonstrate simplifying and proving equivalence of logical propositions.
The document discusses mathematical reasoning and proofs. It provides definitions for key terminology used in proofs such as axioms, theorems, lemmas, and conjectures. It also explains rules of inference like modus ponens and rules for quantified statements. Examples are given to illustrate valid and invalid arguments as well as direct and indirect proofs of theorems.
The document discusses propositional logic including:
- Propositional logic uses propositions that can be either true or false and logical connectives to connect propositions.
- It introduces syntax of propositional logic including atomic and compound propositions.
- Logical connectives like negation, conjunction, disjunction, implication, and biconditional are explained along with their truth tables and significance.
- Other concepts discussed include precedence of connectives, logical equivalence, properties of operators, and limitations of propositional logic.
- Examples are provided to illustrate propositional logic concepts like truth tables, logical equivalence, and translating English statements to symbolic form.
This document discusses mathematical reasoning and proofs. It begins by explaining that mathematical reasoning is important for determining the correctness of arguments and constructing proofs. Several key terms used in proofs are then defined, such as axioms, theorems, lemmas, and conjectures. Common rules of inference like modus ponens are presented. The document also discusses how to represent arguments using logical notation and evaluates the validity of examples. Finally, it covers proving theorems through direct and indirect proof.
The document discusses valid and invalid arguments in propositional logic. It defines arguments and their forms, and validity. It explains how to test an argument form for validity using a truth table. It then discusses several rules of inference for propositional logic including modus ponens, modus tollens, generalization, simplification, disjunctive syllogism, hypothetical syllogism, and provides examples of applying these rules. Finally, it discusses arguments with quantified statements and the rules of universal instantiation, universal modus ponens, and universal modus tollens.
1) If the seed catalog is correct, then if seeds are planted in April, the flowers will bloom in July.
2) The flowers did not bloom in July.
3) Therefore, if seeds were planted in April, then the seed catalog must not be correct.
The document discusses knowledge representation using propositional logic and predicate logic. It begins by explaining the syntax and semantics of propositional logic for representing problems as logical theorems to prove. Predicate logic is then introduced as being more versatile than propositional logic for representing knowledge, as it allows quantifiers and relations between objects. Examples are provided to demonstrate how predicate logic can formally represent statements involving universal and existential quantification.
This document provides an introduction to propositional logic and logical connectives. Some key points:
- Propositional logic deals with propositions that can be either true or false. Common logical connectives are negation, conjunction, disjunction, implication, biconditional.
- Truth tables are used to define the semantics and truth values of logical connectives and compound propositions.
- Logical equivalences allow replacing a proposition with an equivalent proposition to simplify expressions or arguments. Equivalences can be shown using truth tables or known equivalence rules.
- Propositional logic and logical reasoning form the basis of mathematical reasoning and are useful in areas like computer science, programming, and satisfiability problems.
This document discusses logic-based knowledge representation using propositional and predicate logic. It covers the syntax, semantics, and key concepts of both logics. For propositional logic, it defines propositional symbols, logical connectives, truth tables, and valid/satisfiable sentences. For predicate logic, it introduces predicates, variables, quantifiers, and how to form atomic and complex sentences using terms, predicates, and logical connectives. Variable quantifiers like universal and existential are also explained with examples.
Disc.Math-ppt.pptx it is very informative presentation for bachelor students ...aligohark35
It is very informative and important ppt for students of bachelor in computer science as well as bachelor of engineering It consists on propositional logics and sets its relations
The document discusses propositional logic as a knowledge representation language. It defines key concepts in propositional logic including: syntax, semantics, validity, satisfiability, interpretation, models, and entailment. It explains that propositional logic uses symbols to represent facts about the world and connectives to combine symbols into sentences. Sentences can then be evaluated based on the truth values assigned to symbols to determine if the overall sentence is true or false. Propositional logic allows new sentences to be deduced from existing sentences through inference rules while maintaining logical validity.
Propositional logic and predicate logic are knowledge representation languages used in AI. Propositional logic uses symbols to represent simple statements, while predicate logic (first-order logic) is more expressive and commonly used, using predicates, quantifiers and variables to represent relationships about objects in the world. Some key aspects of first-order logic include its syntax, semantics, how it can represent statements about universality and existence using quantifiers, and how it can be used to formally represent real-world knowledge and relationships.
Discrete Mathematics covers fundamentals of logic including propositions, truth tables, logical connectives, and propositional equivalences. A proposition is a statement that is either true or false. Logical connectives such as "and", "or", "not" are used to combine propositions into compound statements. Truth tables are used to determine the truth value of compound propositions based on the truth values of the individual propositions. Logical equivalences show that two statements are logically equivalent even if written differently. Examples help illustrate key concepts such as tautologies, contradictions and using equivalences to prove statements.
The document discusses propositional logic and covers topics like propositional variables, truth tables, logical equivalence, predicates, and quantifiers. It defines key concepts such as propositions, tautologies, contradictions, predicates, universal and existential quantifiers. Examples are provided to illustrate different types of truth tables, logical equivalences like De Morgan's laws, and uses of quantifiers.
This document discusses rule-based systems and logic programming. It contains the following key points in 3 sentences:
The document introduces rule-based systems that represent knowledge as IF-THEN rules and facts, and describes forward chaining which applies rules to derive new facts from initial facts, and backward chaining which starts with a goal and looks for rules to prove the goal. It explains Horn clause logic and how Prolog implements backward chaining using Horn clauses. It also discusses how forward chaining can be used to dynamically add facts to a knowledge base and apply rules to derive new facts.
Mathematical Logic - Discrete mathematics.pptxGayathri M
Mathematical logic is a branch of mathematics that deals with formal systems of reasoning and the principles that govern the structure of logical statements. In discrete mathematics, it is particularly important because it helps in understanding how to reason rigorously about mathematical objects and structures.
This document provides an overview of discrete structures for computer science. It discusses topics like:
- Logic and propositions - Expressing statements that are either true or false using logical operators like negation, conjunction, disjunction etc.
- Truth tables - Using tables to show the truth values of compound propositions formed by combining simpler propositions with logical operators.
- Logical equivalence - When two statement forms will always have the same truth value no matter the values of the variables.
- Essential topics covered in discrete structures like functions, relations, sets, graphs, trees, recursion, proof techniques and basics of counting.
Logic is important for mathematical reasoning, program design and electronic circuitry. Proposition
This document discusses discrete structures and logical operators. It defines logical connectives like negation, conjunction, disjunction, exclusive or, implication, and biconditional. It provides examples of using these connectives to write compound propositions and their truth tables. It also covers translating between English statements and logical expressions. Additional topics include tautologies, contradictions, logical equivalence, De Morgan's laws, and other laws of logic. Worked examples are provided to demonstrate simplifying and proving equivalence of logical propositions.
The document discusses mathematical reasoning and proofs. It provides definitions for key terminology used in proofs such as axioms, theorems, lemmas, and conjectures. It also explains rules of inference like modus ponens and rules for quantified statements. Examples are given to illustrate valid and invalid arguments as well as direct and indirect proofs of theorems.
The document discusses propositional logic including:
- Propositional logic uses propositions that can be either true or false and logical connectives to connect propositions.
- It introduces syntax of propositional logic including atomic and compound propositions.
- Logical connectives like negation, conjunction, disjunction, implication, and biconditional are explained along with their truth tables and significance.
- Other concepts discussed include precedence of connectives, logical equivalence, properties of operators, and limitations of propositional logic.
- Examples are provided to illustrate propositional logic concepts like truth tables, logical equivalence, and translating English statements to symbolic form.
This document discusses mathematical reasoning and proofs. It begins by explaining that mathematical reasoning is important for determining the correctness of arguments and constructing proofs. Several key terms used in proofs are then defined, such as axioms, theorems, lemmas, and conjectures. Common rules of inference like modus ponens are presented. The document also discusses how to represent arguments using logical notation and evaluates the validity of examples. Finally, it covers proving theorems through direct and indirect proof.
The document discusses valid and invalid arguments in propositional logic. It defines arguments and their forms, and validity. It explains how to test an argument form for validity using a truth table. It then discusses several rules of inference for propositional logic including modus ponens, modus tollens, generalization, simplification, disjunctive syllogism, hypothetical syllogism, and provides examples of applying these rules. Finally, it discusses arguments with quantified statements and the rules of universal instantiation, universal modus ponens, and universal modus tollens.
1) If the seed catalog is correct, then if seeds are planted in April, the flowers will bloom in July.
2) The flowers did not bloom in July.
3) Therefore, if seeds were planted in April, then the seed catalog must not be correct.
The document discusses knowledge representation using propositional logic and predicate logic. It begins by explaining the syntax and semantics of propositional logic for representing problems as logical theorems to prove. Predicate logic is then introduced as being more versatile than propositional logic for representing knowledge, as it allows quantifiers and relations between objects. Examples are provided to demonstrate how predicate logic can formally represent statements involving universal and existential quantification.
This document provides an introduction to propositional logic and logical connectives. Some key points:
- Propositional logic deals with propositions that can be either true or false. Common logical connectives are negation, conjunction, disjunction, implication, biconditional.
- Truth tables are used to define the semantics and truth values of logical connectives and compound propositions.
- Logical equivalences allow replacing a proposition with an equivalent proposition to simplify expressions or arguments. Equivalences can be shown using truth tables or known equivalence rules.
- Propositional logic and logical reasoning form the basis of mathematical reasoning and are useful in areas like computer science, programming, and satisfiability problems.
This document discusses logic-based knowledge representation using propositional and predicate logic. It covers the syntax, semantics, and key concepts of both logics. For propositional logic, it defines propositional symbols, logical connectives, truth tables, and valid/satisfiable sentences. For predicate logic, it introduces predicates, variables, quantifiers, and how to form atomic and complex sentences using terms, predicates, and logical connectives. Variable quantifiers like universal and existential are also explained with examples.
Disc.Math-ppt.pptx it is very informative presentation for bachelor students ...aligohark35
It is very informative and important ppt for students of bachelor in computer science as well as bachelor of engineering It consists on propositional logics and sets its relations
The document discusses propositional logic as a knowledge representation language. It defines key concepts in propositional logic including: syntax, semantics, validity, satisfiability, interpretation, models, and entailment. It explains that propositional logic uses symbols to represent facts about the world and connectives to combine symbols into sentences. Sentences can then be evaluated based on the truth values assigned to symbols to determine if the overall sentence is true or false. Propositional logic allows new sentences to be deduced from existing sentences through inference rules while maintaining logical validity.
Propositional logic and predicate logic are knowledge representation languages used in AI. Propositional logic uses symbols to represent simple statements, while predicate logic (first-order logic) is more expressive and commonly used, using predicates, quantifiers and variables to represent relationships about objects in the world. Some key aspects of first-order logic include its syntax, semantics, how it can represent statements about universality and existence using quantifiers, and how it can be used to formally represent real-world knowledge and relationships.
Discrete Mathematics covers fundamentals of logic including propositions, truth tables, logical connectives, and propositional equivalences. A proposition is a statement that is either true or false. Logical connectives such as "and", "or", "not" are used to combine propositions into compound statements. Truth tables are used to determine the truth value of compound propositions based on the truth values of the individual propositions. Logical equivalences show that two statements are logically equivalent even if written differently. Examples help illustrate key concepts such as tautologies, contradictions and using equivalences to prove statements.
The document discusses propositional logic and covers topics like propositional variables, truth tables, logical equivalence, predicates, and quantifiers. It defines key concepts such as propositions, tautologies, contradictions, predicates, universal and existential quantifiers. Examples are provided to illustrate different types of truth tables, logical equivalences like De Morgan's laws, and uses of quantifiers.
This document discusses rule-based systems and logic programming. It contains the following key points in 3 sentences:
The document introduces rule-based systems that represent knowledge as IF-THEN rules and facts, and describes forward chaining which applies rules to derive new facts from initial facts, and backward chaining which starts with a goal and looks for rules to prove the goal. It explains Horn clause logic and how Prolog implements backward chaining using Horn clauses. It also discusses how forward chaining can be used to dynamically add facts to a knowledge base and apply rules to derive new facts.
Interview questions for freshers by Talent Titan.pdfshubhamgoel346498
Preparing for interview questions is the most important step in a fresher’s career journey. Today, these interviews are more than a gateway to your first job; they’re an opportunity to showcase your potential and make a lasting impression on recruiters. The competition is fierce, and companies are no longer looking solely at academic credentials. They are now looking for a combination of technical expertise, problem-solving skills, and an ability to adjust to the dynamics of the workplace.
Delhi, the capital of India, is not only a political and cultural hub but also a thriving center for quality education. With a host of prestigious institutions offering undergraduate engineering programs, Delhi has become a dream destination for aspiring engineers. In 2025, the demand for cutting-edge education, modern infrastructure, and strong placement opportunities makes it essential to know which colleges stand out. This guide highlights the Top BE/BTech Colleges in Delhi in 2025, helping you make an informed decision for your future.
Discover what to expect when partnering with top retained executive search firms in India, from the initial consultation to the final candidate placement, ensuring better leadership hires and long-term organizational success.
Power BI Jobs in Jaipur – Top Career Options in Data Analytics.pptxvinay salarite
Discover the most in-demand Power BI Jobs in Jaipur and take the next step in your data analytics career! This video highlights key opportunities in Jaipur’s growing tech industry for professionals skilled in Power BI, data visualization, and business intelligence.
Whether you're a fresher or an experienced analyst, find out how to land your dream role with companies actively hiring through Salarite — your trusted job portal.
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Team Introduction slide for planing.pptxmaryanazir22
Ad
3 Topics ii Valid & Invalid Arguments.pptx.ppt
1. Valid & Invalid Arguments
Logical Quantifiers and their negation
Priority and Precedence
Tautologies
Contradictions
By
Prof. Najam
Mphil (Edu)
BS Hon
M.A Edu
M.Ed Special Educagion
PGD (CS)
CCNA
MCSE Microsoft Certified system Engineer
Mikrotik Certified System Engineer
Email-ASSADCHADHAR@GMAIL.COM
#-03127522112
Discrete Structure for
Computer Science
2. Valid & Invalid Arguments
oArgument is a sequence of statements ending
in a conclusion.
oDetermination of validity of an argument
depends only on the form of an argument, not
on its content.
“If you have a current password, then you can log
onto the network.” p=“You have a current password”
q=“You can log onto the network.” p → q
p
∴ q
where ∴ is the symbol that denotes
“therefore.”
3. Valid & Invalid Arguments
oAn argument is a sequence of statements, and an
argument form is a sequence of statement
forms(have proposition var.).
o All statements in an argument and all
statement forms in an argument form, except for the
final one, are called premises (or assumptions or
hypotheses).
oThe final statement or statement form is called the
4. Valid & Invalid Arguments
•oTo say that an argument form is valid
means that no matter what particular
statements are substituted for the statement
variables in its premises, if the resulting
premises are all true, then the conclusion is
also true. Conclusion q is valid, when (p1 ∧ p2
∧ · · · ∧ pn) → q is a tautology.
•oTo say that an argument is valid means
that its form is valid.
5. Logical Quantifiers and their negation
• There are two ways to quantify a propositional function: universal
quantification and existential quantification. They are written in the
form of “ xp(x)” and “ xp(x)” respectively. To negate a quantified
∀ ∃
statement, change to , and to , and then negate the statement.
∀ ∃ ∃ ∀
• وجودی اور مقدار عالمگیر :ہیں طریقے دو کے کرنے درست مقدار کی فعل تجویزی
بالترتیب وہ مقدار۔ "∀xp(x)" اور "∃xp(x)" مقداری ہیں۔ جاتے لکھے میں شکل کی
کریں نفی کی بیان پھر اور ،∀ سے ∃ اور ،∃ کو ∀ ،لیے کے کرنے نفی کی بیان
Logical Quantifiers and their negation
7. Tautologies
• Firstly, here are some examples of tautologies in
mathematics: ( p q ) p is a mathematical
∧ ⇒
statement that will always be true and is,
therefore, a tautology. In words, this says that if
the truth of p and q together is true, then p is true.
• مثالیں کچھ کی ٹیوٹولوجی میں ریاضی یہاں ،پہلے سے سب
ہیں: ( p ∧ q ) ⇒ p درست ہمیشہ جو ہے بیان ریاضیاتی ایک
کہتا یہ ،میں الفاظ ہے۔ ٹاٹولوجی ایک یہ لیے اس اور گا رہے
اگر کہ ہے p اور q تو ،ہے درست ساتھ ایک سچائی کی p
ہے۔ درست
8. Contradictions
• In Mathematics, a contradiction occurs when we
get a statement p, such that p is true and its
negation ~p is also true. Now, let us understand
the concept of contradiction with the help of an
example. Consider two statements p and q.
Statement p: x = a/b, where a and b are co-prime
numbers.
• بیان ایک ہمیں جب ہے ہوتا وقت اس تضاد ،میں ریاضی p ،ہے ملتا
کہ جیسے p نفی کی اس اور ہے درست ~p ہم اب ہے۔ درست بھی
ہیں۔ سمجھتے کو تصور کے تضاد سے مدد کی مثال ایک p اور q پر
کریں۔ غور a
9. Precedence of Logical Operators
• As in arithmetic, an ordering is imposed on the use of logical
operators in compound propositions
• We will generally use parentheses to specify the order in which
logical operators in a compound proposition are to be applied.
p q r (p) (q (r))
• To avoid unnecessary parenthesis, the following precedences hold:
1. Negation ()
2. Conjunction ()
3. Disjunction ()
4. Implication ()
5. Biconditional ()
10. Logical Equivalences:
• Definition:Compound propositions that have the same truth values
in all possible cases are called logically equivalent.
• Propositions p and q are logically equivalent if p q is a tautology.
• Informally, p and q are equivalent if whenever p is true, q is true, and vice
versa
• Notation: p q (p is equivalent to q), p q, and p q
• Alert: is not a logical connective
11. Logical Equivalences:
• Are the propositions (p q) and (p q) logically equivalent?
• To find out, we construct the truth tables for each:
p q pq p pq
0 0
0 1
1 0
1 1
The two columns in the truth table are identical, thus we conclude that
(p q) (p q)
Example