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Chapter 2. Logic Weiqi Luo ( 骆伟祺 ) School of Software Sun Yat-Sen University Email ： weiqi.luo@yahoo.com Office ： A309 weiqi.luo@yahoo.com

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School of Software 2.1. Propositions and Logical Operation 2.2. Conditional Statements 2.3. Methods of Proof 2.4. Mathematical Induction 2.5. Mathematical Statements 2.6. Logic and Problem Solving 2 Chapter two: Logic

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School of Software Statement (Proposition) A statement or proposition is a declarative sentence that is either true or false but not both Example 1: (a) The earth is round. (b) 2+3=5 (c) Do you speak English? (d) 3-x=5 (e) Take two aspirins. (f) The temperature on the surface of the planet Venus is 800 F (g) The sun will come out tomorrow 2.1. Propositions and Logical Operation 3 Yes. No. This is a question. No. May true or false No. This is a command. Yes. yes

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School of Software Paradox A male barber shaves all and only those men who do not shave themselves Paradox: A paradox is a seemingly true statement or group of statements that lead to a contradiction or a situation which seems to defy logic or intuition. Paradox is not a statement. Refer to http://en.wikipedia.org/wiki/List_of_paradoxes Others “I am lying”, “this sentence is wrong”, so on and so forth 2.1. Propositions and Logical Operation 4

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School of Software Propositional variables In logic, the letters p, q, r … denote propositional variables, which are replaced by statements p: 1+2 = 5 q: It is raining. Compound statements Propositional variables can be combined by logical connectives to obtain compound statements. E.g. p and q : 1+2 =5 and it is raining. 2.1. Propositions and Logical Operation 5

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School of Software Negation (a unary operation) If p is a statement, the negation of p is the statement not p, denoted by ~ p, meaning “it is not the case that p”. if p is true, then ~p is false, and if p is false, then ~p is true. Truth Table : List the truth value of a compound statement in terms of its component parts. 2.1. Propositions and Logical Operation 6 p~q TF FT

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School of Software Example: Give the negation of the following statements (a) p: 2+3 >1 (b) q: It is snowing. Solution: (a) ~p: 2+3 is not greater than 1, namely, 2+3 <=1 (b) ~q: It is not the case that it is snowing. More simply, ~q: It is not snowing. 2.1. Propositions and Logical Operation 7

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School of Software Conjunction If p and q are statements, the conjunction of p and q is the compound statement “p and q” denoted by p ∧ q. Truth Table : Note: p ∧ q is T if and only if p is T and q is T. 2.1. Propositions and Logical Operation 8 pq p ∧ q TTT TFF FTF FFF

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School of Software Example Form the conjunction of p and q p: 1>3 q: It is raining. Solution: p ∧ q : 1 > 3 and It is raining. Note: In logic, unlike in everyday English, we may join two totally unrelated statements by logical connectives. 2.1. Propositions and Logical Operation 9

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School of Software Disjunction If p and q are statements, the disjunction of p and q is the compound statement “p or q”, denoted by p V q Truth Table : Note: p V q is F is and only if q is F and q is F. 2.1. Propositions and Logical Operation 10 pqp V q TTT TFT FTT FFF

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School of Software The connective “or” (a) I left for Spain on Monday or I left for Spain on Friday. (b) I passed math or I failed French” Note: Case (a): Both could not have occurred. “or” is an excusive sense in this case. Case (b): Both could have occurred. “or” is an inclusive sense in this case. In mathematics and computer science. We agree to use the connective “or” in inclusive manner. 2.1. Propositions and Logical Operation 11

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School of Software Example: Form the disjunction of p and q p: 2 is a positive integer q : sqrt(2) is a rational number Solution: p V q: 2 is a positive integer or sqrt(2) is a rational number. Since p is true, p V q is true, even through q is false. 2.1. Propositions and Logical Operation 12

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School of Software Algorithm for making Truth Table: Step 1: The first n columns of the table are labeled by the component propositional variables. Further columns are included for all intermediate combinations of the variables, culminating in a column for the full statement. Step 2: Under each of the first n headings, we list the 2 n possible n-tuples of truth values for the n component statements. Step 3: For each of the remaining columns, we compute, in sequence, the remaining truth values. 2.1. Propositions and Logical Operation 13

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School of Software Example 5: Make a truth table for the statement (p ∧ q) V (~ p) Truth Table: 2.1. Propositions and Logical Operation 14 pq p ∧ q ~pV TTTFT TFFFF FTFTT FFFTT (1)(2)(3)

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School of Software Propositional function (predicate) An element of a set {x | P(x)} is an object t for which the statement P(t) is true. P(x) is called a propositional function (or predicate), because each choice of x produces a proposition P(x) that is either true or false (well-defined) E.g. Let A={ x | x is an integer less than 8}. Here P(x) is the sentence “x is an integer less than 8” P(1) denotes the statement “1 is an integer less than 8” (true) P(8) denotes the statement “8 is an integer less than 8” (false) 2.1. Propositions and Logical Operation 15

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School of Software Universal Quantifiers ( ∀ ) The Universal Quantifiers of a predicate P(x) is the statement “for all values of x, P(x) is true”, denoted by ∀ x P(x) Example 8 (a) P(x) : -(-x) = x is a predicate that makes sense for all real number x. then ∀ x P(x) is true statement. Since ∀ x ∈ R, -(-x) = x (b) Q(x): x+1<4. then ∀ x Q(x) is a false statement, since Q(5) is false 2.1. Propositions and Logical Operation 16

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School of Software Existential Quantifiers ( ∃ ) The Existential Quantifiers of a predicate P(x) is the statement “there exists a value of x for which P(x) is true”, denoted by ∃ x P(x) Example 9 (a) Let Q(x): x+1<4. then the existential quantification of Q(x), ∃ x Q(x), is a true statement, since Q(1) is a true statement (b) The statement ∃ y y+2=y is false since there is no value of y for which the propositional function y+2=y produces a true statement. 2.1. Propositions and Logical Operation 17

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School of Software The order of the Quantifiers ∀ & ∃ The order does not affect the output for the same quantifiers, while it may produce different results for different quantifiers. E.g. P(x, y) : x + y =1 ∀ x ∃ y P(x) is true, ∃ y ∀ x is false. P(x, y): x *y = 0 ∀ x ∃ y P(x) is true, ∃ y ∀ x is true too. 2.1. Propositions and Logical Operation 18

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School of Software The negation of Quantifiers ∀ & ∃ (a) let p: ∀ x P(x), then ~p: there must be at least one value of x for which P(x) is false, namely, ~ ∀ x P(x) = ∃ x ~P(x) (b) let p: ∃ x P(x), then ~p: for all x, P(x) is false, namely, ~ ∃ x P(x)= ∀ x ~P(x) 2.1. Propositions and Logical Operation 19

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School of Software Homework Ex. 2, Ex. 4, Ex. 16, Ex. 28 2.1. Propositions and Logical Operation 20

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School of Software Conditional statement If p and q are statements, the compound statement “if p then q”, denoted p=>q, is called a conditional statement or implication. p : antecedent or hypothesis q : consequent or conclusion if … then : => Truth Table : Note: when p is F, then p=>q is T. 2.2. Conditional Statements 21 pqp => q TTT TFF FTT FFT

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School of Software Example Form the implication p=>q for each the following (a) p: I am hungry. q: I will eat. (b) p: 2+2=5 q: I am the king of England. Solution (a) If I am hungry, then I will eat (b) If 2+2=5, then I am the king of English Note: There is no cause-and effect relationship between p and q in case (b). And (b) is true, since 2+2=5 is false. 2.2. Conditional Statements 22

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School of Software Converse and Contrapositive If p=>q is an implication, then its converse is the implication q => p and its contrapositive is the implication ~ q => ~p E.g. Give the converse and the contrapositive of the implication “If it is raining, then I get wet” Converse: If I get wet, then It is raining. Contrapositive: If I do not get wet, then It is not raining. 2.2. Conditional Statements 23

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School of Software Equivalence (biconditional) If p and q are statements, the compound statement p if and only if q, denoted by p q, is called an equivalence or biconditional. Truth Table : Note: p q is T when p and q are both T or both F. 2.2. Conditional Statements 24 pqp q TTT TFF FTT FFT

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School of Software Example 3: Is the following equivalence a true statement? 3>2 if and only if 0< 3 – 2 Solution: Let p: 3>2 and q : 0< 3 – 2, since p and q are both true, we then conclude that p q is true statement. 2.2. Conditional Statements 25

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School of Software Example 4. Compute the truth table of the statement (p=>q) (~q => ~p) Truth Table : 2.2. Conditional Statements 26 pqp=>q~q~p~q=>~p(p=>q) (~q => ~p) TTTFFTT TFFTFFT FTTFTTT FFTTTTT

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School of Software Tautology A statement that is true for all possible values of its propositional variables called Tautology. (e.g. Example 4) Contradiction (Absurdity) A statement that is false for all possible values of its propositional variables called Contradiction or Absurdity. (e.g. p ∧ ~p) Contingency A statement that can be either true or false, depending on the truth values of its propositional variables, is called a contingency. (e.g. p => q) 2.2. Conditional Statements 27

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School of Software Logically Equivalent If two statements p and q are always either both true or both false, for any values of the propositional variables, namely p q is a tautology Then we call p and q are logically equivalent. Denoted by p ≡ q 2.2. Conditional Statements 28

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School of Software Example 6 Show that p V q and q V p are logically equivalent The truth table of (p V q ) (q V p ) are shown as follows Truth Table : 2.2. Conditional Statements 29 pqp V qq V pp V q q V p TTTTT TFTTT FTTTT FFFFT

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School of Software Two Structures with similar properties (Theorem 1) Structure 1 (logic operations): (propositions, ∧, V, ~) Structure 2 (sets operations) (sets, U, ∩, - ) 2.2. Conditional Statements 30

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School of Software Theorem 1 Commutative properties p ∨ q ≡ q ∨ p, p ∧ q ≡ q ∧ p Associative Properties p ∨ (q ∨ r) ≡ (p ∨ q) ∨ r, p ∧ (q ∧ r) ≡ (p ∧ q) ∧ r Distributive Properties p ∨ (q ∧ r) ≡ (p ∨ q) ∧ (p ∨ r) p ∧ (q ∨ r) ≡ (p ∧ q) ∨ (p ∧ r) 2.2. Conditional Statements 31

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School of Software Idempotent Properties p ∨ p ≡ p, p ∧ p ≡ p Properties of Negation ~(~p) ≡ p ~(p ∨ q) ≡ (~p) ∧ (~q) ~(p ∧ q) ≡ (~p) ∨ (~q) De Morgan’s laws 2.2. Conditional Statements 32

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School of Software Theorem 2 (p ⇒ q) ≡ ((~p) ∨ q) (p ⇒ q) ≡ (~q ⇒ ~p) (p q) ≡ ((p ⇒ q) ∧ (q ⇒ p)) ~(p ⇒ q) ≡ (p ∧ ~q) ~(p q) ≡ ((p ∧ ~q) ∨ (q ∧ ~p)) 2.2. Conditional Statements 33

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School of Software Theorem 3 ~( ∀ xP(x)) ≡ ∃ x~P(x) ~( ∃ xP(x)) ≡ ∀ x(~P(x)) ∃ x(P(x) ⇒ Q(x)) ≡ ∀ xP(x) ⇒ ∃ xQ(x) ∃ x(P(x) ∨ Q(x)) ≡ ∃ xP(x) ∨ ∃ xQ(x) ∀ x(P(x) ∧ Q(x)) ≡ ∀ xP(x) ∧ ∀ xQ(x) ∀ xP(x) ∨ ∀ xQ(x) ⇒ ∀ x(P(x) ∨ Q(x)) is a tautology ∃ x(P(x) ∧ Q(x)) ⇒ ∃ xP(x) ∧ ∃ xQ(x) is a tautology 2.2. Conditional Statements 34

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School of Software Theorem 4 : Each of the following is a tautology (p ∧ q) ⇒ p, (p ∧ q) ⇒ q p ⇒ (p ∨ q), q ⇒ (p ∨ q) ~p ⇒ (p ⇒ q), ~(p ⇒ q) ⇒ p (p ∧ (p ⇒ q)) ⇒ q, (~p ∧ (p ∨ q)) ⇒ q (~q ∧ (p ⇒ q)) ⇒ ~p ((p ⇒ q) ∧ (q ⇒ r)) ⇒ (p ⇒ r) 2.2. Conditional Statements 35

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School of Software Properties of Quantifiers ∃ and ∀ (a) ∃ x (P(x) V Q(x)) ≡ ∃ x P(x) V ∃ x (Q(x)) (b) ∀ x (P(x) ∧ Q(x)) ≡ ∀ x P(x) ∀ x Q(x) 2.2. Conditional Statements 36

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School of Software Homework ex.2, ex.7, ex.12, ex.15, ex.21 ex.34 2.2. Conditional Statements 37

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School of Software Logically Follow If an implication p ⇒ q is a tautology, where p and q may be compound statements involving any number of proposition variables, we say that q logically follows from p. Suppose that an implication of the form (p1 ∧ p2 ∧ … ∧ pn) ⇒ q is a tautology. We say that q logically follows from p1, p2, …, pn, denoted by 2.3. Method of Proof 38

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School of Software (p 1 ∧ p 2 ∧ … ∧ p n ) ⇒ q The p i ’s are called the hypotheses or premises, and q is called the conclusion. Note: we are not trying to show that q is true, but only that q will be true if all the p i are true. ∴ denotes “therefore” 2.3. Method of Proof 39

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School of Software Rules of inference Arguments based on tautologies represent universally correct methods of reasoning. Their validity depends only on the form of the statements involved and not on the truth values of the variables they contain. Example 1 ((p ⇒ q) ∧ (q ⇒ r)) ⇒ (p ⇒ r) is tautology, then the argument is universally valid, and so is a rule of inference. 2.3. Method of Proof 40

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School of Software Example 2: Is the following argument valid? If you invest in the stock market, then you will get rich. If you get rich, then you will be happy. ∴ If you invest in the stock market, then you will be happy. let p: you invest in the stock market, q: you will get rich r: you will be happy The above argument is of the form given in Example 1, hence the argument is valid! 2.3. Method of Proof 41

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School of Software Example 3 The tautology (p q) ((p ⇒ q) ∧ (q ⇒ p)) means that the following two arguments are valid p ⇒ q p q q ⇒ p ∴ (p ⇒ q) ∧ (q ⇒ p) ∴ p q 2.3. Method of Proof 42

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School of Software Equivalence (p q) They are usually stated “p if and only if q”. We need to prove both p=>q and q=>p by the tautology mentioned in example 3. Algorithm : Step one: Assuming p is true, show q must be true. Step two: Assuming q is true, show p must be true. 2.3. Method of Proof 43

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School of Software Modus Ponens p is true, and p=>q is true, so q is true (Theorem 4(g) in Section 2.2.) p p=>q ∴ q 2.3. Method of Proof 44

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School of Software Example 4: Is the following argument valid? Smoking is healthy. If smoking is healthy, then cigarettes are prescribed by physicians. ∴ Cigarettes are prescribed by physicians p: Smoking is healthy. q: cigarettes are prescribed by physicians The argument is valid since it is of form modus ponens. 2.3. Method of Proof 45

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School of Software Example 5 Is the following argument valid? If taxes are lowered, then income rises Income rises ∴ taxes are lowered Solution: Let p: taxes are lowed q: income rise p=>q q ∴ p Then argument is not valid, since p=>q and q can be both true with p being false. 2.3. Method of Proof 46 (or show the truth table of (p=>q) ∧ q => p, and determine whether or not it is a tautology)

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School of Software Indirect Method of Proof The tautology (p=>q ) (~q) => (~p ) (An implication is equivalent to its contrapositive) Note: To proof p=>q indirectly, we assume q is false (~q) and show that p is then false (~p) 2.3. Method of Proof 47

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School of Software Example 6 Let n be an integer. Prove that if n 2 is odd, then n is odd. Solution: Let p: n 2 is odd, q: n is odd. To prove that (p=>q) We try to prove its contrapositive ~q=>~p Assuming that n is even (~q), let n=2k, k is an integer, then we have n 2 = (2k) 2 =4k 2 is even (~p). Hence, the given statement has been proved. 2.3. Method of Proof 48

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School of Software The tautology ((p ⇒ q) ∧ (~q)) ⇒ ~p If a statement p implies a false statement q, then p must be false. Proof by contradiction To prove (p 1 ∧ p 2 ∧ … ∧ p n ) ⇒ q, We add (~q) into hypothesis p 1 ∧ p 2 ∧ … ∧ p n, if the enlarged hypothesis p 1 ∧ p 2 ∧ … ∧ p n ∧ (~q) implies a contradiction, then we can conclude that q follows from p 1,p 2, … and p n. 2.3. Method of Proof 49

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School of Software Example 7 Prove there is no rational number a/b whose square is 2, namely, sqrt(2) is irrational. Solution: Let p: a, b are integers and no common factors, and b is not 0 q: (a/b) 2 is not 2 In order to prove p => q, We try to find the contradiction from p ∧ ~q Refer to Example 7 for more details. 2.3. Method of Proof 50

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School of Software Example 9: Prove or disprove the statement that if x and y are real numbers, (x 2 =y 2 ) (x=y) Solution: Since (1) 2 =(-1) 2, but -1 ≠ 1, the result is false. Our example is called counterexample, and any other counterexample would do just as well. Note: If a statement claims that a property holds for all objects of a certain type, then to prove it, we must use steps that are valid for all objects of that type and that do not make references to any particular object. To disprove such a statement, we need only show one counterexample. 2.3. Method of Proof 51

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School of Software Homework Ex. 6, Ex. 8, Ex. 9 Ex. 19, Ex. 20 Ex. 31, Ex. 34 2.3. Method of Proof 52

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School of Software To Prove ∀ n>n 0 P(n) where n 0 is some fixed integer Two Steps: 1) Basis Step Prove that P(n 0 ) is true 2) Induction Step Prove that P(k) => P(k+1) is a tautology (if P(k) is true, then P(k+1) must be true) 2.4 Mathematical Induction 53

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School of Software Example 1: Prove that for all n>0 1+2+3…+n = n(n+1)/2 Solution: let P(n)=n(n+1)/2 Basis step: P(1) = 1 = 1*2/2=1 is true. Induction Step: assuming P(k) is true, then P(k+1) = 1+2 + 3 … + k +(k+1) = P(k) +(k+1) = k (k+1)/2 +(k+1) P(k) is true = (k+1)(k+2)/2 = P(k+1) 2.4 Mathematical Induction 54

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School of Software Example 3: Prove any finite, nonempty set is countable (the elements can be arranged in a list) Solution: Let P(n) be the predicate that if A is any set with |A|=n>0, then A is countable Basis Step: P(1) is true ( A ={x} ) Induction Step: assuming P(k) is true Let B denotes any finite, nonempty set with k+1 elements. We first pick any element x in B, then B-{x} is a set with k elements, and it is countable (P(k) is true), and listed by x 1,x 2,…x k. Then we can also list the elements of B as x 1,x 2,…x k, x (P(k+1) is true) 2.4 Mathematical Induction 55

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School of Software Example 5: Consider the following function given in pseudocode Function SQ(A) 1. C < － 0 2. D < － 0 3. WHILE (D is not A) a. C < － C+A b. D < － D+1 4. RETURN (C) End of Function SQ 2.4 Mathematical Induction 56

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School of Software Strong Induction 2.4 Mathematical Induction 57 Weak InductionStrong Induction Basis StepP(n o ) is true (or the first several statements are true) P(n o ) is true (or the first several statements are true) Induction StepP(k) P(k+1) is a tautology P(n0) ∧ P(n1) ∧ … P(k) P(k+1) is a tautology

58 School of Software Example 7: Prove that every positive integer n>1 can be written uniquely as p 1 a1 p 2 a2 …p s as, where p i are primes and p 1

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School of Software Homework Ex. 2, Ex. 14, Ex. 17, Ex. 22, Ex. 34 2.4 Mathematical Induction 59

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