Economics 204 Summer/Fall 2017 Lecture 1 Monday July 17, 2017

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Economics 04 Summer/Fall 07 Lecture Monday July 7, 07 Section.. Methods of Proof We begin by looking at the notion of proof. What is a proof? Proof has a formal definition in mathematical logic, and a formal proof is long and unreadable. In practice, you need to learn to recognize a proof when you see one. We will begin by discussing four main methods of proof that you will encounter frequently: deduction contraposition induction contradiction We look at each in turn. Proof by Deduction: A proof by deduction is composed of a list of statements, the last of which is the statement to be proven. Each statement in the list is either an axiom: a fundamental assumption about mathematics, or part of definition of the object under study; or a previously established theorem; or follows from previous statements in the list by a valid rule of inference Example: Prove that the function f(x) x is continuous at x 5. Recall from one-variable calculus that f(x) x is continuous at x 5 means ε > 0 δ > 0 s.t. x 5 < δ f(x) f(5) < ε That is, for every ε > 0 there exists a δ > 0 such that whenever x is within δ of 5, f(x) is within ε of f(5). To prove the claim, we must systematically verify that this definition is satisfied. Proof: Let ε > 0 be given. Let { δ min, ε } > 0

Why?? Suppose x 5 < δ. Since δ, 4 < x < 6, so 9 < x + 5 < and x + 5 <. Then f(x) f(5) x 5 (x + 5)(x 5) x + 5 x 5 < δ ε ε Thus, we have shown that for every ε > 0, there exists δ > 0 such that x 5 < δ f(x) f(5) < ε, so f(x) x is continuous at x 5. Proof by Contraposition: First recall some basics of logic. P means P is false. P Q means P is true and Q is true. P Q means P is true or Q is true (or possibly both). P Q means ( P) Q; P Q means ( P) Q. P Q means whenever P is satisfied, Q is also satisfied. Formally, P Q is equivalent to P Q. The contrapositive of the statement P Q is the statement Q P These are logically equivalent, as we prove below. Theorem P Q is true if and only if Q P is true. Proof: Suppose P Q is true. Then either P is false, or Q is true (or possibly both). Therefore, either P is true, or Q is false (or possibly both), so ( Q) ( P) is true, Q P is true. Conversely, suppose Q P is true. Then either Q is false, or P is true (or possibly both), so either Q is true, or P is false (or possibly both), so P Q is true, so P Q is true.

So to prove a statement P Q, it is equivalent to prove the contrapositive Q P. See de la Fuente for an example of the use of proof by contraposition. Proof by Induction: We illustrate with an example. Theorem For every n N 0 {0,,, 3,...}, n k n(n + ) i.e. + + + n n(n+). Proof: Base step n 0: The left hand side (LHS) above 0 k the empty sum 0. The right hand side (RHS) 0 0 so the claim is true for n 0. Induction step: Suppose n k n(n + ) for some n 0 We must show that n+ k (n + )((n + ) + ) LHS n+ n k k + (n + ) n(n + ) + (n + ) by the Induction hypothesis ( ) n (n + ) + (n + )(n + ) (n + )((n + ) + ) RHS (n + )(n + ) LHS so by mathematical induction, n k n(n+) for all n N 0. 3

Proof by Contradiction: A proof by contradiction proves a statement by assuming its negation is true and working until reaching a contradiction. Again we illustrate with an example. Theorem 3 There is no rational number q such that q. Proof: Suppose q, q Q. We can write q m for some integers m, n Z. Moreover, n we can assume that m and n have no common factor; if they did, we could divide it out. Therefore, m n, so m is even. q m n We claim that m is even. If not, then m is odd, so m p + for some p Z. Then m (p + ) 4p + 4p + (p + p) + which is odd, contradiction. Therefore, m is even, so m r for some r Z. 4r (r) m n n r so n is even, which implies (by the argument given above) that n is even. Therefore, n s for some s Z, so m and n have a common factor, namely, contradiction. Therefore, there is no rational number q such that q. Section.3 Equivalence Relations Definition 4 A binary relation R from X to Y is a subset R X Y. We write xry if (x, y) R and not xry if (x, y) R. R X X is a binary relation on X. Example: Suppose f : X Y is a function from X to Y. The binary relation R X Y defined by xry f(x) y This is actually a subtle point. We are using the fact that the expression of a natural number as a product of primes is unique. This is a proof by contradiction within a proof by contradiction! 4

is exactly the graph of the function f. A function can be considered a binary relation R from X to Y such that for each x X there exists exactly one y Y such that (x, y) R. Example: Suppose X {,, 3} and R is the binary relation on X given by R {(, ), (, ), (, ), (3, ), (3, ), (3, 3)}. This is the binary relation is weakly greater than, or. Definition 5 A binary relation R on X is (i) reflexive if x X, xrx (ii) symmetric if x, y X, xry yrx (iii) transitive if x, y, z X, (xry yrz) xrz Definition 6 A binary relation R on X is an equivalence relation if it is reflexive, symmetric and transitive. Definition 7 Given an equivalence relation R on X, write [x] {y X : xry} [x] is called the equivalence class containing x. The set of equivalence classes is the quotient of X with respect to R, denoted X/R. Example: The binary relation on R is not an equivalence relation because it is not symmetric. Example: Let X {a, b, c, d} and R {(a, a), (a, b), (b, a),(b, b),(c, c), (c, d), (d, c), (d, d)}. R is an equivalence relation (why?) and the equivalence classes of R are {a, b} and {c, d}. X/R {{a, b}, {c, d}} The following theorem shows that the equivalence classes of an equivalence relation form a partition of X: every element of X belongs to exactly one equivalence class. Theorem 8 Let R be an equivalence relation on X. Then x X, x [x]. Given x, y X, either [x] [y] or [x] [y]. Proof: If x X, then xrx because R is reflexive, so x [x]. Suppose x, y X. If [x] [y], we re done. So suppose [x] [y]. We must show that [x] [y], i.e. that the elements of [x] are exactly the same as the elements of [y]. 5

Choose z [x] [y]. Then z [x], so xrz. By symmetry, zrx. Also z [y], so yrz. By symmetry again, zry. Now choose w [x]. By definition, xrw. Since zrx and R is transitive, zrw. By symmetry, wrz. Since zry, wry by transitivity again. By symmetry, yrw, so w [y], which shows that [x] [y]. Similarly, [y] [x], so [x] [y]. Section.4 Cardinality Definition 9 Two sets A, B are numerically equivalent (or have the same cardinality) if there is a bijection f : A B, that is, a function f : A B that is - (a a f(a) f(a )), and onto ( b B a A s.t. f(a) b). Roughly speaking, if two sets have the same cardinality then elements of the sets can be uniquely matched up and paired off. A set is either finite or infinite. A set is finite if it is numerically equivalent to {,..., n} for some n. A set that is not finite is infinite. For example, the set A {, 4, 6,..., 50} is numerically equivalent to the set {,,..., 5} under the function f(n) n. In particular, this shows that A is finite. The set B {, 4, 9, 6, 5, 36, 49...} {n : n N} is numerically equivalent to N and is infinite. An infinite set is either countable or uncountable. A set is countable if it is numerically equivalent to the set of natural numbers N {,, 3,...}. An infinite set that is not countable is called uncountable. Example: The set of integers Z is countable. Define f : N Z by Z {0,,,,,...} f() 0 f() f(3). f(n) ( ) n n where x is the greatest integer less than or equal to x. It is straightforward to verify that f is one-to-one and onto. Notice Z N but Z N; indeed, Z \ N is infinite! So statements like One half of the elements of Z are in N are not meaningful. 6

Theorem 0 The set of rational numbers Q is countable. Picture Proof : Q { m n : m, n Z, n 0 } { m n : m Z, n N } m 0 0 0 n 3 0 3 3 3 3 4 0 4 4 5 0 5 5 5 5 Go back and forth on upward-sloping diagonals, omitting the repeats: f : N Q, f is one-to-one and onto. f() 0 f() f(3) f(4) Notice that although Q appears to be much larger than N, in fact they are the same size.. 7