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Set Theory

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Set Theory. Dr. Ahmed Elmoasry. Contents. Ch I: Experiments, Models, and Probabilities. Ch II: Discrete Random Variables Ch III: Discrete Random Variables. Ch I: Experiments, Models, and Probabilities. Set Theory Applying set theory to probability Probability Axioms - PowerPoint PPT Presentation
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Set Theory Dr. Ahmed Elmoasry
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Page 1: Set Theory

Set Theory

Dr. Ahmed Elmoasry

Page 2: Set Theory

Contents

Ch I: Experiments, Models, and Probabilities.

Ch II: Discrete Random Variables

Ch III: Discrete Random Variables

Page 3: Set Theory

Ch I: Experiments, Models, and Probabilities.

1. Set Theory2. Applying set theory to probability3. Probability Axioms4. Some consequences of the Axioms5. Conditional probability6. Independence7. sequential Experiments and tree diagrams8. Counting Methods9. Independent trials

Page 4: Set Theory

Sets

Definition. A Set is any well defined collection of “objects.”Definition. The elements of a set are the objects in a set.Notation. Usually we denote sets with upper-case letters, elements with lower-case letters. The following notation is used to show set membership

means that x is a member of the set A means that x is not a member of the set

A.

AxAx

Page 5: Set Theory

Ways of Describing Sets

List the elements

Give a verbal description

“A is the set of all integers from 1 to 6, inclusive”

Give a mathematical inclusion rule

A= 1,2,3,4,5,6

A= Integers 1 6x x

Page 6: Set Theory

Examples of Sets

A={MUJ university, QAS University, the planet Mercury}

B={x2 | x =1,2,3,… }

C={all students who weigh more than 60 kg}

I={all positive integers, negative integers, and 0}

Page 7: Set Theory

Set Equality

We say that A=B iff B A and A B

Or

A={0,17,46} B= {46,0,17} C={17,0,46}

BxAx

Page 8: Set Theory

Some Special Sets

The Null Set or Empty Set. This is a set with no elements, often symbolized by

The Universal Set. This is the set of all elements currently under consideration, and is often symbolized by

Page 9: Set Theory

Membership Relationships

Definition. Subset.

“A is a subset of B” We say “A is a subset of B” if , i.e.,

all the members of A are also members of B. The notation for subset is very similar to the notation for “less than or equal to,” and means, in terms of the sets, “included in or equal to.”

A B

x A x B

S x6 B x1 x2 x3 x5 A x4

x7

Page 10: Set Theory

Membership Relationships

Definition. Proper Subset. 

“A is a proper subset of B” We say “A is a proper subset of B” if all the

members of A are also members of B, but in addition there exists at least one element c such that but . The notation for subset is very similar to the notation for “less than,” and means, in terms of the sets, “included in but not equal to.”

A B

c B c A

Page 11: Set Theory

Combining Sets – Set Union

“A union B” is the set of all elements that are in A, or B, or both.

This is similar to the logical “or” operator.

A B B A

Page 12: Set Theory

Combining Sets – Set Intersection

“A intersect B” is the set of all elements that are in both A and B.

This is similar to the logical “and”

A B

Page 13: Set Theory

Ex. Of set union

A is the set of student, who weigh more than 65 kg.

B is the set of student, who tall more than 165 cm.

A x3 B x1 x2 x4 x5 x6

x7 x8 x9 x10

Page 14: Set Theory

Set Complement

“A complement,” or “not A” is the set of all elements not in A.

The complement operator is similar to the logical not, and is reflexive, that is,

A

A A

A

A

Page 15: Set Theory

Set Difference

The set difference “A minus B” is the set of elements that are in A, with those that are in B subtracted out. Another way of putting it is, it is the set of elements that are in A, and not in B, so

A B

A B A B

A B

Page 16: Set Theory

Examples

{1,2,3}A {3,4,5,6}B

{3}A B {1,2,3,4,5,6}A B

{1,2,3,4,5,6}

{4,5,6}B A {1,2}B

Page 17: Set Theory

Venn Diagrams

Venn Diagrams use topological areas to stand for sets. I’ve done this one for you.

A B

A B

Page 18: Set Theory

Venn Diagrams

Try this one!

A B

A B

Page 19: Set Theory

Venn Diagrams

Here is another one

A B

A B

Page 20: Set Theory

Mutually Exclusive and Exhaustive Sets

Definition. We say that a group of sets is exhaustive of another set if their union is equal to that set. For example, if we say that A and B are exhaustive with respect to C.

Definition. We say that two sets A and B are mutually exclusive if , that is, the sets have no elements in common.

A B C

A B

Page 21: Set Theory

Mutually Exclusive Sets

A and B are disjoint iff A∩ B =

A

B

Page 22: Set Theory

Set Partition

Definition. We say that a group of sets partitions another set if they are mutually exclusive and exhaustive with respect to that set. When we “partition a set,” we break it down into mutually exclusive and exhaustive regions, i.e., regions with no overlap. The Venn diagram below should help you get the picture. In this diagram, the set A (the rectangle) is partitioned into sets W,X, and Y.

Page 23: Set Theory

Set Partition

A

WX Y

Page 24: Set Theory

De Morgan’s Law

BABA )(

BABA )(

Page 25: Set Theory

Some Test Questions

A ?

Page 26: Set Theory

Some Test Questions

A A=?

Page 27: Set Theory

Some Test Questions

A ?

Page 28: Set Theory

Some Test Questions

A A=?

Page 29: Set Theory

Some Test Questions

A A ?

Page 30: Set Theory

Some Test Questions

A ?

Page 31: Set Theory

Some Test Questions

?

Page 32: Set Theory

Some Test Questions

If A B then A B ?

Page 33: Set Theory

Some Test Questions

If A B then A B ?


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