CS 173: Discrete Mathematical Structures

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CS 173: Discrete Mathematical Structures. Dan Cranston dcransto@uiuc.edu Rm 3240 Siebel Center Office Hours: Wed, Fri 11:30a-12:30p. CS 173 Announcements. Homework 2 returned this week (by email, in section, or in your section leader ’ s office hours).

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### CS 173:Discrete Mathematical Structures

Dan Cranston

dcransto@uiuc.edu

Rm 3240 Siebel Center

Office Hours: Wed, Fri 11:30a-12:30p

CS 173 Announcements
• Homework 2 returned this week (by email,

• Homework 3 available. Due 02/04, 8a.

Note:   {}

Set Theory - Definitions and notation

A set is an unordered collection of elements.

Some examples:

{1, 2, 3} is the set containing “1” and “2” and “3.”

{1, 1, 2, 3, 3} = {1, 2, 3} since repetition is irrelevant.

{1, 2, 3} = {3, 2, 1} since sets are unordered.

{1, 2, 3, …} is a way we denote an infinite set (in this case, the natural numbers).

 = {} is the empty set, or the set containing no elements.

A

Venn Diagram

B

Set Theory - Definitions and notation

x  S means “x is an element of set S.”

x  S means “x is not an element of set S.”

A  B means “A is a subset of B.”

or, “B contains A.”

or, “every element of A is also in B.”

or, x ((x  A)  (x  B)).

Set Theory - Definitions and notation

A  B means “A is a subset of B.”

A  B means “A is a superset of B.”

A = B if and only if A and B have exactly the same elements.

iff, A  B and B  A

iff, A  B and A  B

iff, x ((x  A)  (x  B)).

• So to show equality of sets A and B, show:
• A  B
• B  A

A

B

Set Theory - Definitions and notation

A  B means “A is a proper subset of B.”

• A  B, and A  B.
• x ((x  A)  (x  B))  x ((x  B)  (x  A))
• x ((x  A)  (x  B)) x ((x  B) (x  A))

Vacuously

Set Theory - Definitions and notation

Quick examples:

• {1,2,3}  {1,2,3,4,5}
• {1,2,3}  {1,2,3,4,5}

Is   {1,2,3}?

Yes!x (x  )  (x  {1,2,3}) holds, because (x  ) is false.

Is   {1,2,3}?

No!

Is   {,1,2,3}?

Yes!

Is   {,1,2,3}?

Yes!

Yes

Yes

Yes

No

Set Theory - Definitions and notation

Quiz time:

Is {x}  {x}?

Is {x}  {x,{x}}?

Is {x}  {x,{x}}?

Is {x}  {x}?

: and | are read “such that” or “where”

Primes

Set Theory - Ways to define sets
• Explicitly: {John, Paul, George, Ringo}
• Implicitly: {1,2,3,…}, or {2,3,5,7,11,13,17,…}
• Set builder: { x : x is prime }, { x | x is odd }. In general { x : P(x) is true }, where P(x) is some description of the set.

Ex. Let D(x,y) denote “x is divisible by y.”

Give another name for

{ x : y ((y > 1)  (y < x)) D(x,y) }.

|S| = 3.

|S| = 1.

|S| = 0.

|S| = 3.

Set Theory - Cardinality

If S is finite, then the cardinality of S, |S|, is the number of distinct elements in S.

If S = {1,2,3},

If S = {3,3,3,3,3},

If S = ,

If S = { 1, {1}, {1,{1}} },

If S = {0,1,2,3,…}, |S| is infinity. (more on this later)

aka P(S)

We say, “P(S) is the set of all subsets of S.”

2S = {, {a}}.

2S = {, {a}, {b}, {a,b}}.

2S = {}.

2S = {, {}, {{}}, {,{}}}.

Set Theory - Power sets

If S is a set, then the power set of S is

2S = { x : x  S }.

If S = {a},

If S = {a,b},

If S = ,

If S = {,{}},

Fact: if S is finite, |P(S)| = 2|S|. (if |S| = n, |P(S)| = 2n)

A,B finite  |AxB| = ?

• |A|+|B|
• |A|-|B|
• |A||B|
Set Theory - Cartesian Product

The Cartesian Product of two sets A and B is:

A x B = { <a,b> : a  A  b  B}

If A = {Charlie, Lucy, Linus}, and

B = {Brown, VanPelt}, then

A x B = {<Charlie, Brown>, <Lucy, Brown>, <Linus, Brown>, <Charlie, VanPelt>, <Lucy, VanPelt>, <Linus, VanPelt>}

A1 x A2 x … x An = {<a1, a2,…, an>: a1  A1, a2  A2, …, an  An}

B

A

Set Theory - Operators

The union of two sets A and B is:

A  B = { x : x  A v x  B}

If A = {Charlie, Lucy, Linus}, and

B = {Lucy, Desi}, then

A  B = {Charlie, Lucy, Linus, Desi}

B

A

Set Theory - Operators

The intersection of two sets A and B is:

A  B = { x : x  A  x  B}

If A = {Charlie, Lucy, Linus}, and

B = {Lucy, Desi}, then

A  B = {Lucy}

B

A

Set Theory - Operators

Another example

If A = {x : x is a US president}, and B = {x : x is deceased}, then

A  B = {x : x is a deceased US president}

B

A

Sets whose intersection is empty are called disjoint sets

Set Theory - Operators

One more example

If A = {x : x is a US president}, and B = {x : x is in this room}, then

A  B = {x : x is a US president in this room} = 

A

• = U and

U = 

Set Theory - Operators

The complement of a set A is:

A = { x : x  A}

If A = {x : x is bored},

then A = {x : x is not bored}

U

U

A

B

Set Theory - Operators

The set difference, A - B, is:

A - B = { x : x  A  x  B }

A - B = A  B

U

A

B

like “exclusive or”

Set Theory - Operators

The symmetric difference, A  B, is:

A  B = { x : (x  A  x  B) v (x  B  x  A)}

= (A - B) U (B - A)

Set Theory - Operators

A  B = { x : (x  A  x  B) v (x  B  x  A)}

= (A - B) U (B - A)

Proof:

{ x : (x  A  x  B) v (x  B  x  A)}

= { x : (x  A - B) v (x  B - A)}

= { x : x  ((A - B) U (B - A))}

= (A - B) U (B - A)

Don’t memorize them, understand them!

They’re in Rosen, p124.

Set Theory - Famous Identities
• Two pages of (almost) obvious.
• One page of HS algebra.
• One page of new.

A  U = A

A U U = U

A U A = A

A U  = A

A  = 

A A = A

Set Theory - Famous Identities
• Identity
• Domination
• Idempotent

A U A = U

A = A

A A=

Set Theory - Famous Identities
• Excluded Middle
• Uniqueness
• Double complement

B U A

B  A

A U (B U C)

A U (B C) =

A  (B C)

A  (B U C) =

Set Theory - Famous Identities

A U B =

• Commutativity
• Associativity
• Distributivity

A  B =

(A U B)U C =

(A  B) C =

(A U B)  (A U C)

(A  B) U (A  C)

(A UB)= A  B

(A  B)= A U B

Hand waving is good for intuition, but we aim for a more formal proof.

Set Theory - Famous Identities
• DeMorgan’s I
• DeMorgan’s II

p

q

Like truth tables

Like 

Not hard, a little tedious

Set Theory - 4 Ways to prove identities
• Show that A  B and that A  B.
• Use a membership table.
• Use previously proven identities.
• Use logical equivalences to prove equivalent set definitions.

(A UB)= A  B

Set Theory - 4 Ways to prove identities

Prove that

• () (x  A U B)  (x  A U B)  (x  A and x  B)  (x  A  B)

2. () (x  A  B)  (x  A and x  B)  (x  A U B)  (x  A U B)

(A B)= A U B

Set Theory - 4 Ways to prove identities

Prove that

(A UB)= A  B

Haven’t we seen this before?

Set Theory - 4 Ways to prove identities

Prove that

using a membership table.

0 : x is not in the specified set

1 : otherwise

(A UB)= A  B

(A UB)= {x : (x  A v x  B)}

= A  B

= {x : (x  A)  (x  B)}

Set Theory - 4 Ways to prove identities

Prove that using logically equivalent set definitions.

= {x : (x  A)  (x  B)}

Set Theory - A proof for you to do

X  (Y - Z) = (X  Y) - (X  Z). True or False?

(X  Y) - (X  Z) = (X  Y)  (X  Z)’

= (X  Y)  (X’ U Z’)

= (X  Y  X’) U (X  Y  Z’)

=  U (X  Y  Z’)

= (X  Y  Z’)

A U B = 

A = B

A  B = 

A-B = B-A = 

Trying to pv p --> q

Assume p and not q, and find a contradiction.

Our contradiction was that sets weren’t equal.

Set Theory - A proof for us to do together.

A  B = 

Prove that if (A - B) U (B - A) = (A U B) then ______

Suppose to the contrary, that A  B  , and that x  A  B.

Then x cannot be in A-B and x cannot be in B-A.

So x is not in (A - B) U (B - A).

But x is in A U B since (A  B)  (A U B).

Thus, A  B = .