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Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven Rudich CS 15-251 Spring 2004 Lecture 25 Apr 13, 2004 Carnegie Mellon University ¥

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Page 1: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Cantor’s Legacy: Infinity And Diagonalization

Great Theoretical Ideas In Computer Science

Steven Rudich

CS 15-251 Spring 2004

Lecture 25 Apr 13, 2004 Carnegie Mellon University

¥

Page 2: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Early ideas from the course

InductionNumbersRepresentationFinite Counting and probability

----------

A hint of the infinite:

Infinite row of dominoes.Infinite choice trees, and infinite probability

Page 3: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Infinite RAM Model

Platonic Version: One memory location for each natural number 0, 1, 2, …

Aristotelian Version: Whenever you run out of memory, the computer contacts the factory. A maintenance person is flown by helicopter and attaches 100 Gig of RAM and all programs resume their computations, as if they had never been interrupted.

Page 4: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

The Ideal Computer:no bound on amount of memory

no bound on amount of time

Ideal Computer is defined as a computer with infinite RAM.

You can run a Java program and never have any overflow, or out of memory

errors.

Page 5: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

An Ideal Computer Can Be Programmed To Print Out:

: 3.14159265358979323846264…2: 2.0000000000000000000000…e: 2.7182818284559045235336…1/3: 0.33333333333333333333….: 1.6180339887498948482045…

Page 6: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Printing Out An Infinite Sequence..

We say program P prints out the infinite sequence s(0), s(1), s(2), …; if when P is executed on an ideal computer a sequence of symbols appears on the screen such that

- The kth symbol is s(k)- For every k2, P eventually prints the kth symbol. I.e., the delay between symbol k and symbol k+1 is not infinite.

Page 7: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Computable Real Numbers

A real number r is computable if there is a program that prints out the decimal representation of r from left to right. Thus, each digit of r will eventually be printed as part of the output sequence.

Are all real numbers computable?

Page 8: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Describable Numbers

A real number r is describable if it can be unambiguously denoted by a finite piece of English text.

2: “Two.”: “The area of a circle of radius one.”

Page 9: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Is every computable real number,

also a describable real number?

Computable r: some program outputs rDescribable r: some sentence denotes r

Page 10: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Theorem: Every computable real is also describable

Proof: Let r be a computable real that is output by a program P. The following is an unambiguous denotation:

“The real number output by the following program:” P

Page 11: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

MORAL: A computer program can be viewed as a description of its

output.

Syntax: The text of the programSemantics: The real number output by P.

Page 12: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Are all real numbers describable?

Page 13: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

To INFINITY …. and Beyond!

Page 14: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Correspondence Principle

If two finite sets can be placed into 1-1 onto correspondence, then they have the same size.

Page 15: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Correspondence Definition

Two finite sets are defined to have the same size if and only if they can be placed into 1-1 onto correspondence.

Page 16: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Georg Cantor (1845-1918)

Page 17: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Cantor’s Definition (1874)

Two sets are defined to have the same size if and only if they can be placed into 1-1 onto correspondence.

Page 18: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Cantor’s Definition (1874)

Two sets are defined to have the same cardinality if and only if they can be placed into 1-1 onto correspondence.

Page 19: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Do and have the same cardinality?

= { 0, 1, 2, 3, 4, 5, 6, 7, …. }

= The even, natural numbers.

Page 20: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

and do not have the same cardinality! is a proper subset of with

plenty left over.

The attempted correspondence f(x)=x does not take onto .

Page 21: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

and do have the same cardinality!

0, 1, 2, 3, 4, 5, ….…0, 2, 4, 6, 8,10, ….

f(x) = 2x is 1-1 onto.

Page 22: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Lesson:

Cantor’s definition only requires that some 1-1

correspondence between the two sets is onto, not that all

1-1 correspondences are onto.

This distinction never arises when the sets are finite.

Page 23: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

If this makes you feel uncomfortable…..

TOUGH! It is the price that you must pay to reason

about infinity

Page 24: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Do and have the same cardinality?

= { 0, 1, 2, 3, 4, 5, 6, 7, …. }

= { …, -2, -1, 0, 1, 2, 3, …. }

Page 25: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

No way! is infinite in two ways: from 0 to

positive infinity and from 0 to negative infinity.

Therefore, there are far more integers than

naturals.

Actually, not.

Page 26: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

and do have the same cardinality!

0, 1, 2, 3, 4, 5, 6 …0, 1, -1, 2, -2, 3, -3, ….

f(x) = x/2 if x is odd -x/2 if x is even

Page 27: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Transitivity Lemma

If f: AB 1-1 onto, and g: BC 1-1 ontoThen h(x) = g(f(x)) is 1-1 onto AC

Hence, , , and all have the same cardinality.

Page 28: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Do and have the same cardinality?

= { 0, 1, 2, 3, 4, 5, 6, 7, …. }

= The Rational Numbers

Page 29: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

No way!The rationals are

dense: between any two there is a third. You can’t list them one by

one without leaving out an infinite number of

them.

Page 30: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Don’t jump to conclusions!

There is a clever way to list the rationals,

one at a time, without missing a

single one!

Page 31: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

First, let’s warm up with another interesting one:

can be paired with x

Page 32: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Theorem: and xhave the same cardinality

0 1 2 3 4 …

4

3

2

1

0

The point (x,y)

represents the ordered

pair (x,y)

Page 33: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Theorem: and xhave the same cardinality

0 1 2 3 4 …

4

3

2

1

0 0

1

2

3

4

5

6

7

8

9

The point (x,y)

represents the ordered

pair (x,y)

Page 34: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Defining 1,1 onto f: -> x

k;=0;

For sum = 0 to forever do

{For x = 0 to sum do {y := sum-x;

Let f(k):= The point (x,y); k++

}}

Page 35: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Onto the Rationals!

Page 36: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

The point at x,y represents x/y

Page 37: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

The point at x,y represents x/y

3

2

0 1

Page 38: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

1877 letter to Dedekind:

I see it, but I don't believe it!

Page 39: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

We call a set countable if it can be placed into 1-1 onto correspondence with the natural numbers.

So far we know that N, E, Z, and Q are

countable.

Page 40: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Do and have the same cardinality?

= { 0, 1, 2, 3, 4, 5, 6, 7, …. }

= The Real Numbers

Page 41: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

No way!You will run out of

natural numbers long before you match up

every real.

Page 42: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Don’t jump to conclusions!

You can’t be sure that there isn’t some clever correspondence that

you haven’t thought of yet.

Page 43: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

I am sure!Cantor proved it.

He invented a very important technique

called“DIAGONALIZATION”.

Page 44: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Theorem: The set I of reals between 0 and 1 is not

countable.Proof by contradiction:Suppose I is countable. Let f be the 1-1 onto function from to I. Make a list L as follows:

0: decimal expansion of f(0)1: decimal expansion of f(1)…k: decimal expansion of f(k)…

Page 45: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Theorem: The set I of reals between 0 and 1 is not

countable.Proof by contradiction:Suppose I is countable. Let f be the 1-1 onto function from to I. Make a list L as follows:

0: .3333333333333333333333…1: .3141592656578395938594982..…k: .345322214243555345221123235..…

Page 46: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

L 0 1 2 3 4 …

0

1

2

3

Page 47: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

L 0 1 2 3 4 …

0 d0

1 d1

2 d2

3 d3

… …

Page 48: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

L 0 1 2 3 4

0 d0

1 d1

2 d2

3 d3

… …

ConfuseL = . C0 C1 C2 C3 C4 C5 …

Page 49: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

L 0 1 2 3 4

0 d0

1 d1

2 d2

3 d3

… …

5, if dk=6

6, otherwise

Ck=

ConfuseL = . C0 C1 C2 C3 C4 C5

Page 50: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

L 0 1 2 3 4

0

1 d1

2 d2

3 d3

… …

5, if dk=6

6, otherwise

Ck=

C0dd00 C1 C2 C3 C4 …

Page 51: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

L 0 1 2 3 4

0 d0

1

2 d2

3 d3

… …

5, if dk=6

6, otherwise

Ck=

C0 C1dd11 C2 C3 C4 …

Page 52: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

L 0 1 2 3 4

0 d0

1 d1

2

3 d3

… …

5, if dk=6

6, otherwise

Ck=

C0 C1 C2dd22 C3 C4 …

Page 53: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

L 0 1 2 3 4

0 d0

1 d1

2

3 d3

… …

5, if dk=6

6, otherwise

Ck=

By design, ConfuseL can’t be on the list! ConfuseL differs from the kth element on the

list in the kth position. Contradiction of assumption that list is complete.

C0 C1 C2dd22 C3 C4 …

Page 54: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

The set of reals is uncountable!

Page 55: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Hold it!Why can’t the same argument be used to

show that is uncountable?

Page 56: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

The argument works the same for until

the punchline. CONFUSEL is not

necessarily rational, so there is no

contradiction from the fact that it is

missing.

Page 57: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Standard Notation

= Any finite alphabetExample: {a,b,c,d,e,…,z}

= All finite strings of symbols from including the empty string

Page 58: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Theorem: Every infinite subset S of * is countable

Proof: Sort S by first by length and then alphabetically. Map the first word to 0, the second to 1, and so on….

Page 59: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Stringing Symbols Together

= The symbols on a standard keyboardThe set of all possible Java programs is a subset of

The set of all possible finite pieces of English text is a subset of

Page 60: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Thus:

The set of all possible Java programs is

countable.

The set of all possible finite length pieces of

English text is countable.

Page 61: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

There are countably many Java program and

uncountably many reals.

HENCE:

MOST REALS ARE NOT COMPUTABLE.

Page 62: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

There are countably many descriptions and

uncountably many reals.

Hence:

MOST REAL NUMBERS ARE NOT

DESCRIBEABLE!

Page 63: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Oh, Bonzo!

Page 64: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Is there a real number that can be described, but not computed?

Page 65: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

We know there are at least 2 infinities. Are there more?

Page 66: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Power Set

The power set of S is the set of all subsets of S. The power set is denoted (S).

Proposition: If S is finite, the power set of S has cardinality 2|S|

Page 67: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Theorem: S can’t be put into 1-1 correspondence with (S)

Suppose f:S->(S) is 1-1 and ONTO.

A

B

C

S

{B}

{A}

{C}

(S)(S)

{A,B}

{B,C}{A,C}

{A,B,C}

Page 68: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Theorem: S can’t be put into 1-1 correspondence with (S)Suppose f:S->(S) is 1-1 and ONTO.

Let CONFUSE = { x | x Let CONFUSE = { x | x S, x S, x f(x) } f(x) }

There is some y such that There is some y such that f(y)=CONFUSEf(y)=CONFUSE

A

B

C

S

{B}

{A}

{C}

(S)(S)

{A,B}

{B,C}

{A,C}

{A,B,C}

Is y in CONFUSE?Is y in CONFUSE?

YES: Definition of CONFUSE implies noYES: Definition of CONFUSE implies no

NO: Definition of CONFUSE implies yesNO: Definition of CONFUSE implies yes

Page 69: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

This proves that there are at least a countable

number of infinities.

The first infinity is called:

0

Page 70: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

0, 1,2,…

Are there any more

infinities?

Page 71: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

0, 1,2,…

Let S = {k | k 2 }(S) is provably larger than any of them.

Page 72: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

In fact, the same argument can be used to show that no single infinity is

big enough to count the number of

infinities!

Page 73: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

0, 1,2,…Cantor wanted to

show that the

number of reals was 1

Page 74: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

Cantor called his conjecture that 1 was the number of reals the

“Continuum Hypothesis.” However, he was unable to prove it. This helped fuel his

depression.

Page 75: Cantor’s Legacy: Infinity And Diagonalization Great Theoretical Ideas In Computer Science Steven RudichCS 15-251 Spring 2004 Lecture 25Apr 13, 2004Carnegie

The Continuum Hypothesis can’t be proved or disproved from the standard

axioms of set theory! This has been

proved!