Top Banner
1 Section 3.3 Mathematical Induction
40

1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

Dec 22, 2015

Download

Documents

Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

1

Section 3.3

Mathematical Induction

Page 2: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

2

Mathematical Induction

• Technique used extensively to prove results about large variety of discrete objects

• Can only be used to prove results obtained some other way - NOT a tool for developing theorems

Page 3: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

3

Application of Mathematical Induction

• Many theorems state that propositional function P(n) is true for all positive integers n

• Mathematical induction is a technique used for proving theorems of this kind

• Such propositions take the form nP(n), where n is a positive integer (n N)

Page 4: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

4

Steps in Inductive Proof

• Basis step: show that P(1) is true

• Inductive step: show that the implication P(n) P(n+1) is true for every positive integer n

• Expressed as a rule of inference, the inductive proof technique can be stated as:[P(1) n(P(n) P(n+1))] nP(n)

Page 5: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

5

Applying Inductive Proof

• Basis step is simple: substitute 1 for n, and show that P(n) is true for n=1

• To prove inductive step:– Assume P(n) is true (inductive hypothesis)– Show that, under this condition, P(n+1) must

also be true

Page 6: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

6

Analysis of Mathematical Induction

• At first glance, mathematical induction looks like circular reasoning, but it isn’t:– We don’t assume P(n) is ALWAYS true– Just need to show that P(n+1) must be true IF

P(n) is true

Page 7: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

7

Analysis of Mathematical Induction

• When using mathematical induction to prove a theorem, we show that P(1) is true; – Since P(1) implies P(2), P(2) is true;– Since P(2) implies P(3), P(3) is true, etc.– So P(k) is true for any positive integer k

Page 8: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

8

Validity of Mathematical Induction

• Validity is based on the well-ordering property:– Every non-empty set of non-negative integers

has a least element

• If we know that P(1) is true and P(n)P(n+1) is true for all positive integers, we can show that P(n) must be true for all positive integers, as shown on the next several slides

Page 9: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

9

Validity of Mathematical Induction

• Suppose there is at least one positive integer for which P(n) is false (assume p)

• This means S, the set of positive integers for which P(n) is false, is non-empty

• By the well-ordering property, S has a least element, denoted k

• We know k can’t be 1, because we know P(1) is true

Page 10: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

10

Validity of Mathematical Induction

• Since k is positive and k > 1, k-1 must be positive

• Since k-1 < k, then k-1 S, so P(k-1) must be true

• Since the implication P(k-1) P(k) is also true, P(k) must be true

• This is a contradiction; hence, P(n) is true for all positive integers n

Page 11: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

11

Example 1: Prove that the sum of the first n odd positive integers is n2

• Thus P(n) = sum of 1st n odd positive integers = n2

• Basis step: – P(1) = sum of 1st 1 odd positive integers = 1: TRUE

• Inductive step must show that n(P(n)P(n+1)) is true

Page 12: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

12

Example 1: Inductive Step

• Suppose P(n) is true for some value of n; in other words:

1 + 3 + 5 + … + (2n - 1) = n2

where (2n-1) is the nth odd positive integer; the number obtained by adding 2 a total of n-1 times to 1

Page 13: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

13

Example 1: Inductive Step

• We must show that, if P(n) is true, P(n+1) is true:P(n+1) = 1+3+5+ … (2n-1) + (2n+1) = (n+1)2

– Assuming P(n) is true, it follows that:1+3+5+…+(2n-1)+(2n+1) = [1+3+…+(2n-1)] + (2n+1)

= n2 + (2n+1) = n2 + 2n + 1

= (n+1)2

– This shows that P(n+1) follows from P(n); since P(1) and n(P(n) P(n+1) )are true, P(n) is true

Page 14: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

14

Example 2: Prove that the sum of the first n even positive integers is n(n+1)

• Basis Step: Even though 1 is not an even integer, we still prove P(1) -– We’re not dealing with n as a value, but n as a

position– 2 is the nth positive even integer when n=1– Since P(1) = 1(1+1) = 2, the proposition is true

for P(1) (the sum of 2 is 2)

Page 15: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

15

Example 2: Inductive Step

• We must prove n(P(n) P(n+1))

• Suppose P(n) is true - this means:2 + 4 + … + 2n = n (n + 1)

• So we need to demonstrate that P(n+1) is true if P(n) is true

Page 16: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

16

Example 2: Inductive Step

2+4+ … +2n+2(n+1) = (n+1)((n+1)+1) = (n+1)(n+2)

= (2+4+ … +2n) + (2n+2)

= n(n+1) + (2n+2)

= n2 + 3n +2 = (n+1)(n+2)

So P(n+1) follows from P(n):

Since P(1) and n(P(n) P(n+1)) are true, P(n) is true

Page 17: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

17

Example 3: Proving Inequalities

• Prove P(n) = n < 2n for all positive integers n

• Basis step: P(1) = 1 < 21 = 1 < 2 TRUE

• Inductive step: assuming P(n) is true, show that (n+1) < 2n+1, given n < 2n

– Can add 1 to both sides of P(n), that is:

n+1 < 2n + 1– Since 1 <= 2n, we get:

n+1 < 2n+1 <= 2n+2n = 2n+1

Page 18: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

18

Example 4: Show that 2n > n2 whenever integer n > 4

• Since we’re only interested in n>=5, basis step is to prove P(5):

25 > 52

32 > 25 TRUE

• Inductive step: we need to prove that:2n+1 > (n + 1)2

assuming 2n > n2 is true

Page 19: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

19

Example 4: inductive step

2n+1 = 2 * 2n > (n +1)2 = n2 + 2n + 1

working from the right:

n2+2n+1 < n2+2n+n (we know this because n>1)

n2+2n+1 < n2+3n

n2+3n < n2+n2 (because n>3)

Page 20: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

20

Example 4: inductive step

So (n+1)2 < 2n2 < 2*2n

since n2 < 2n by the inductive hypothesis, and multiplying both sides by 2 doesn’t change the inequality

which means (n+1)2 < 2n+1 if n2 < 2n

reversing the inequalities:2n+1 > (n+1)2 if 2n > n2

so P(n) is true

Page 21: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

21

Example 5: Prove n3-n is divisible by 3 where n is a positive integer

• Basis: P(1) = 13 - 1 = 0 is divisible by 3 - true, since 0 is divisible by anything

• Inductive step:Assuming n3-n is divisible by 3, prove

P(n+1): (n+1)3 - (n+1) is divisible by 3

Page 22: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

22

Example 5 inductive step

• Expanding the polynomial:(n3+3n2+3n+1) - (n+1) = n3+3n2+2n

= n3+3n2+3n-n =

(n3 - n) + 3(n2 + n)

The first term in this sum is divisible by 3 according to the inductive hypothesis

The second term is divisible by 3 by definition

• So P(n) is true if (P(1) n(P(n) P(n+1)) is true

Page 23: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

23

Adjusting Basis Step

• We have already seen that the basis step can be adjusted if P(1) is not part of the universe of discourse for P(n)

• For example, we have already seen P(5) used as basis

• In the next example, we’ll use P(0): this tactic is useful to prove P(n) for the series n=k, k+1, k+2 ...

Page 24: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

24

Example 6: Show that 1+2+22+ … +2n = 2n+1-1 for all non-negative integers n

• Basis step: P(0) = 20 = 1 = 21 - 1

• Inductive step: assuming P(n) is true, need to prove:P(n+1) = 1+2+22+ … +2n+2n+1 = 2(n+1)+1-1 = 2n+2 - 1

Page 25: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

25

Example 6: inductive step

• Can use inductive hypothesis to substitute for first several terms:1+2+22+ … +2n+2n+1 = (1+2+22+ … + 2n)+2n+1

= (2n+1 - 1) + 2n+1

= 2 * 2n+1 - 1

= 2n+2 - 1

• So the theorem is proven

Page 26: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

26

Geometric Progression

• A geometric progression is a sequence of the form a, ar, ar2, … , arn … , where a and r are real numbers

• The previous example was a geometric progression with a=1 and r=2

Page 27: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

27

Example 7: proving formula for sum of a geometric progression

• The formula for the sum of a geometric progression is:

n

arj = ar0 + ar1 + ar2 + … + arn = (arn+1 - a) / (r-1) when r 1j=0

• To prove formula using induction, let P(n) be the proposition that the sum of the first n+1 terms in this formula is correct

Page 28: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

28

Example 7: Basis Step

• Prove P(0):

a = (ar1 - a)/(r - 1) = a(r - 1)/(r - 1) = a

Page 29: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

29

Example 7: Inductive Step

• Assume P(n) is true; thus

ar0 + ar1 + ar2 + … + arn = (arn+1 - a) / (r-1)

• To show that, given this, P(n+1) is true, add arn+1 to both sides, obtaining:

ar0 + ar1 + ar2 + … + arn + arn+1 = (arn+1 - a) / (r-1) + arn+1

Page 30: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

30

Example 7: Inductive Step

• Rewriting right-hand side:(arn+1-a) / (r-1)+arn+1 = ((arn+1-a) / (r-1))+arn+1 ((r-1)/(r-1))

= ((arn+1-a) / (r-1))+((arn+2-arn+1)/(r-1)

= (arn+2-a) / (r-1)

• Combining left and right we have:a + ar + ar2 + … + arn +arn+1 = (arn+2-a) / (r-1)

• So if P(n) is true, P(n+1) must also be true & formula for sum of geometric series is correct

Page 31: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

31

Harmonic Numbers

• Harmonic numbers are the values Hk, where k=1, 2, 3 … defined by:

• Hk = 1 + 1/2 + 1/3 + … + 1/k

• Examples:H2 = 1 + 1/2 = 3/2

H4 = 1 + 1/2 + 1/3 + 1/4 = 25/12

H6 = 1 + 1/2 + 1/3 + 1/4 + 1/5 + 1/6 = 147/60

Page 32: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

32

Example 8: show that H2n >= 1 + n/2 whenever n is a positive integer

• Basis: P(0) = H20 = H1 >= 1 + 0/2 TRUE

• Inductive: Assuming P(n) is true, prove H2n+1 >= 1 + (n+1)/2

H2n+1=1+1/2+1/3+ … +1/2n+1/2n+1+ … 1/2n+1

= H2n + 1/2n + 1 + … + 1/2n+1

>=(1 + n/2) + 2n(1/2n+1)

>=(1 + n/2) + 1/2 = 1 + (n+1)/2 so the inequality is valid for all non-negative integers n

Page 33: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

33

Example 9: number of subsets in a finite set

• Show that if S is a finite set with n elements, S has 2n subsets

• Basis: P(0) = set with 0 elements has 20 (1) subset - true, it has itself

• Inductive: Assuming P(n), prove P(n+1) - set with n+1 elements has 2n+1 subsets

Page 34: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

34

Example 9: inductive step

• Let T be a set with n+1 elements• We can write T=S{a} where aT and

S=T-{a}• For each subset of S there are exactly 2

subsets of T - one containing {a} and one not containing {a}

• Since there are 2n subsets of S (inductive hypothesis), there are 2*2n or 2n+1 subsets of T - so theorem is proven

Page 35: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

35

Second principle of mathematical induction

• Different form of mathematical induction

• Assume P(k) true for k = 1 … n, then show P(k+1) must also be true based on this assumption– Basis step: show P(1) is true– Inductive step: show [P(1)P(2)…

P(n)]P(n+1)

Page 36: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

36

Example 10

• Prove that every amount of postage >= 12 cents can be formed using 4-cent and 5-cent stamps

• Basis: Postage of 12 cents can be formed using 3 4-cent stamps

Page 37: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

37

Example 10: inductive step

• Assume P(n) true

• If at least one 4-cent stamp was used, can get n+1 by replacing the 4-cent stamp with a 5-cent stamp:– P(13) is 5, 4, 4– P(14) is 5, 5, 4– P(15) is 5, 5, 5

Page 38: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

38

Example 10: inductive step

• Since n>=12, at least 3 5-cent stamps were used; replace these with 4 4-cent stamps to get n+1: P(16) = 4, 4, 4, 4

• Applying second principle of mathematical induction we see that P(12) through P(15) can be formed using 4 and 5-cent stamps - this is basis step, where n=15

Page 39: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

39

Example 10: inductive step

• Let n>=15

• Assume we can form postage of k cents, where 12<=k<=n

• To form postage of n+1 cents, use stamps that form n-3 cents + 1 4-cent stamp

• This works for any value of n

Page 40: 1 Section 3.3 Mathematical Induction. 2 Technique used extensively to prove results about large variety of discrete objects Can only be used to prove.

40

Section 3.3

Mathematical Induction

- ends -