Chapter 2: The Logic of Compound Statements
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1 Chapter 2: he Logic of Compound Statements irst: Aristotle (Gr BC) Collection of rules for deductive reasoning to be used in every branch of knowledge Next: Gottfried Leibniz (German, 17th century) using symbols to mechanize the process of logic as algebraic notation had mechanized the process of reasoning about numbers and their relationships. Next: George Boole and Augustus De Morgan (English, 18th century) founded modern logic. 2.1 Logical orm and Logical Equivalence Concept of argument form is central to the concept of deductive logic. An argument is a sequence of statements aimed at demonstrating the truth of an assertion. HE ORM O AN ARGUMEN IS DISINGUISHED ROM IS CONEN So, logic won't determine the merit of argument's content; it can only determine if the conclusion follows from the truth of preceding statements. LOGICAL ORM: he following two arguments have the same logical form but differ entirely in content. If the program syntax is faulty or if program execution results in division by zero, then the computer will generate an error message. herefore, if the computer does not generate an error message, then the program syntax is correct and the program execution does not result in division by zero.
2 If x is a real number such that x < -2 or x > 2, then x 2 > 4. herefore, if x 2 <= 4, then x >= -2 and x <= 2. Using p, q, r, to represent the three statements in each argument. If p or q, then r herefore, if not r, then not p and not q SAEMEN: A statement is a sentence that is true or false but not both. Self-referential sentences--he Barber Puzzle In a certain town there is a male barber who shaves all those men, and only those men, who do not shave themselves. Question: Does the barber shave himself?
3 COMPOUND SAEMENS negation of p NO (~) conjunction of p AND ( ) disjunction of p OR ( ) RANSLAING ENGLISH INO SYMBOLS But = AND It is not sunny but it is hot. p q Both and = it is not the case that the sentence It is not both sunny and hot. (p q) Neither/nor = not A and not B It is neither hot nor sunny. p q
4 LOGIC PROPOSIIONS AND CONNECIVES Proposition (Statement) is a declarative sentences that is either true or false. etanus is a disease. ½ is an integer. here is intelligent life on Mars. One plus one equals two. We denote propositions by lowercase letters p, q, r, s, etc., called propositional variables. he truth values of a proposition are either RUE or ALSE. CONNECIVES Negation (NO) p p Conjunction (AND) p q p q
5 Disjunction (OR) p q p q 2.2 Conditional Statements Implication p q p q p implies q if p then q q if p only if q is p q is necessary for p p is sufficient for q p only if q
6 IMPLICAION AND VACUOUS RUH Example:If you loan me $20.00 then I will pay you on riday. p = you loan me $20.00q = I will pay you on riday QUESION: Under what conditions can you call me a liar for not keeping my word? You loan me $20.00 (p is true), riday I don't pay you (q is false) What about the other conditions? You loan me $20.00 (p is true) riday I pay you (q is true)no problem here. You don't loan me $20.00 (p is false) riday I pay you (q is true) Crazy maybe but not a liar. You don't loan me $20.00 (p is false) riday I don't pay you (q is false) No problem here. Because there is really only one condition which would make the conditional statement false (I'd be a liar) the remaining conditions are said to be vacuously true.
7 ORDER O OPERAIONS negation conjunction (left to right) disjunction (left to right) implication equivalence CONVERSE, CONRAPOSIIVE, AND INVERSE O A PROPOSIION Prove that these are logically equivalent. If the proposition is p q, then its contrapositive is q p Prove that these are logically equivalent. If the proposition is p q, then its inverse is p q If the proposition is p q, then its converse is q p DEMORGAN'S LAWS p q p q p q (p q) p q p q p q p q (p q) p q
8 AUOLOGIES--> always true conclusion CONRADICIONS --> always false conclusion autology Contradiction p p p p p p LOGICAL EQUIVALENCE (pg ) Logical Equivalence for implication if p then q p q p q p q p p q p q HE NEGAION of and Implication if p then q (p q) p q q p q (p q) p q
9 I=I AND ONLY I IS A BICONDIIONAL PROVE: p q (p q) (q p) Set up a truth table A LOGIC REMINDER: a hypothesis and conclusion are not required to have related subject matter.
10 2.3 VALID AND INVALID ARGUMENS An argument is a sequence of statements. All but the final statement are called premises. he last statement is called the conclusion and is usually preceded by A valid argument means the ORM is valid. irst we locate the premises and the conclusion(s). Next we create an appropriate ruth able. ind the critical rows. All premises are, then the conclusion(s) must be true. We will confirm that the following valid arguments: MODUS PONENS (method of affirming) p q p q MODUS OLLENS (method of denying) p q q p DISJUNCIVE SYLLOGISM p q p q q p p q
11 HYPOHEICAL SYLLOGISM ( or transitive property of implication) p q q r p r p q r p q q r p r ALLACIES Vague or ambiguous premises Begging the question (assuming what is to be proven) Jumping to a conclusion without grounds Converse error Inverse error Converse Error and Inverse Error hese look like MODUS PONENS & MODUS OLLENS
12 CONRADICION RULE: the heart of proof by contradiction If an assumption leads to a contradiction, then that assumption must be false. p c c Knights and Knaves (Raymond Smullyan, pg. 60) Knights always tell the truth. Knaves always lie. A says: B is a knight. B says: A and I are opposite types. What are A and B? Okay, assume A is a knight.(always tells the truth) A says: B is a knight. B is a knight. B says: A and I are opposite types. if B is a knight then he tells the truth. Contradition. hey cannot both be knights and be of opposite types. Okay, assume A is a knave (always lies). A says: B is a knight. B is a knave. B says: A and I are opposite types. opposite types. Not telling the truth, so they aren t of hey are both Knaves.
13 Summary of Rules of Inference (pg. 61-Valid Argument orms) 2.4 Application: DIGIAL LOGIC GAES (tutorial videos here is a link to Simple Circuits) and Boolean Algebra Boolean Expressions corresponding to Circuits 2.5 Application: NUMBER SYSEMS AND CIRCUI ADDIION Subtraction (we will not cover Circuits for Computer Addition 61-63) wo s Complement and the Computer Representation of Negative Integers Computer Addition with Negative Integers Hexadecimal Notation-Conversions Representation of loating Point Numbers: IEEE
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