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Partial Orderings Partial Orderings

Partial Orderings - PowerPoint Presentation

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Partial Orderings - PPT Presentation

Partial Orderings A relation R on a set S is called a partial ordering if it is r eflexive antisymmetric transitive A set S together with a partial ordering R is called a ID: 315169

partial bound upper poset bound partial poset upper ordered comparable elements set incomparable integers element greatest ordering maximal transitive minimal hasse reflexive

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Slide1

Partial OrderingsSlide2

Partial Orderings

A relation

R

on a set

S

is called a

partial ordering

if it is:

r

eflexive

antisymmetric

transitive

A set

S

together with a partial ordering

R

is called a

partially ordered set

, or

poset

, and is denoted by (

S

,

R

).

Example

: “

” is a partial ordering on the set of integers

reflexive

:

a

a

for every integer

a

anti-symmetric

: If

a

b

and

b

a

then

a

=

b

transitive

:

a

b

and

b

c

implies

a

c

Therefore “” is a partial ordering on the set of integers and (

Z

,

) is a

poset

.Slide3

Comparable/Incomparable Elements

Let “

” denote any relation in a

poset

(e.g.

)

The elements

a

and

b

of a

poset

(

S

,

) are:

comparable

if either

a

b

or

b

a

incomparable

if neither

a

b

nor

b

a

Example

: Consider the

poset

(

Z

+

,

), where “

a

│b

” denotes “a divides b

3

and

9

are comparable because

3│9

5

and

7

are not comparable because nether

5

7

nor

7

5Slide4

Partial and Total Orders

If some elements

in

a

poset

(

S

,

)

are incomparable, then it is

partially ordered

is a partial order

If every two elements of a

poset

(

S

,

) are comparable, then it is

totally ordered

or

linearly ordered

is a total (or linear) order

Examples

:

(Z+,

) is not totally ordered because some integers are incomparable

(

Z, ≤) is

totally ordered because any two integers are comparable (a

≤ b or b ≤

a) Slide5

Hasse

Diagrams

Graphical representation

of a

poset

It eliminates all implied edges (reflexive, transitive)

Arranges all edges to point up (implied arrow heads)

Algorithm

:

Start with the digraph of the partial

order

Remove the loops at each vertex (reflexive)

Remove all edges that must be present because of the transitivity

Arrange each edge so that all arrows point up

Remove all arrowheadsSlide6

Constructing

Hasse

Diagrams

Example

: Construct the

Hasse

diagram for ({1,2,3},

)

1

2 3

1

2 3

1

2 3

3

2

1

3

2

1Slide7

Maximal and minimal Elements

Let (

S

,

) be a

poset

a

is

maximal

in (

S

,

≼) if there is no b

S such that a

≼b

a is minimal in (

S, ≼) if there is no b

S such that

b≼

a a is the greatest element of (S,

≼) if b≼a for all bS

a is the least element of (S, ≼) if

a≼

b for all b

Sg

reatest and least must be unique

h j

g f

d e

b c

a

Example

:

Maximal

:

h,j

Minimal: a

Greatest element: None

Least element:

aSlide8

Upper and

L

ower Bounds

Let

A

be a

subset

of (

S

,

)

If

u

S such that

a≼u for all

aA

, then u is an

upper bound of A

If x is an upper bound of

A and x≼z whenever

z is an upper bound of A, then x is the least upper bound

of A (must be unique)Analogous for lower bound and

greatest upper bound

h j

g f

d e

b c

a

Example

: let A be {

a,b,c

}

Upper bounds

of

A:

e,f,j,h

Least upper bound of A

:

e

Lower bound of

A:

a

Greatest lower bound of

A:

a