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Fall2005CostasBusch-RPI
1
Mathematical
Preliminaries In
AutoMata
By Mobeen
Fall2005CostasBusch-RPI
2
Mathematical Preliminaries
• Sets
• Functions
• Relations
• Graphs
• Proof Techniques
Fall2005
3
CostasBusch-RPI
}3,2,1{=A
A set is a collection of elements
SETS
},,,{ airplanebicyclebustrainB =
We write
A∈1
Bship∉
Fall2005CostasBusch-RPI
4
Set Representations
C = { a, b, c, d, e, f, g, h, i, j, k }
C = { a, b, …, k }
S = { 2, 4, 6, … }
S = { j : j > 0, and j = 2k for some k>0 }
S = { j : j is nonnegative and even }
finite set
infinite set
Fall2005CostasBusch-RPI
5
A = { 1, 2, 3, 4, 5 }
Universal Set: all possible elements
U = { 1 , … , 10 }
1 2 3
4 5
A
U
6
7
8
9
10
Fall2005CostasBusch-RPI
6
Set Operations
A = { 1, 2, 3 } B = { 2, 3, 4, 5}
• Union
A U B = { 1, 2, 3, 4, 5 }
• Intersection
A B = { 2, 3 }
• Difference
A - B = { 1 }
B - A = { 4, 5 }
U
A B
2
3
1
4
5
2
3
1
Venn diagrams
Fall2005CostasBusch-RPI
7
A
• Complement
Universal set = {1, …, 7}
A = { 1, 2, 3 } A = { 4, 5, 6, 7}
1
2
3
4
5
6
7
A
A = A
Fall2005CostasBusch-RPI
8
0
2
4
6
1
3
5
7
even
{ even integers } = { odd integers }
odd
Integers
Fall2005CostasBusch-RPI
9
DeMorgan’s Laws
A U B = A B
U
A B = A U B
U
Fall2005CostasBusch-RPI
10
Empty, Null Set:
= { }
S U = S
S =
S - = S
- S =
U
= Universal Set
Fall2005CostasBusch-RPI
11
Subset
A = { 1, 2, 3} B = { 1, 2, 3, 4, 5 }
A B
U
Proper Subset: A B
U
A
B
Fall2005CostasBusch-RPI
12
Disjoint Sets
A = { 1, 2, 3 } B = { 5, 6}
A B =
U
A B
Fall2005CostasBusch-RPI
13
Set Cardinality
• For finite sets
A = { 2, 5, 7 }
|A| = 3
(set size)
Fall2005CostasBusch-RPI
14
Powersets
A powerset is a set of sets
Powerset of S = the set of all the subsets of S
S = { a, b, c }
2S
= { , {a}, {b}, {c}, {a, b}, {a, c}, {b, c}, {a, b, c} }
Observation: | 2S
| = 2|S|
( 8 = 23
)
Fall2005CostasBusch-RPI
15
Cartesian Product
A = { 2, 4 } B = { 2, 3, 5 }
A X B = { (2, 2), (2, 3), (2, 5), ( 4, 2), (4, 3), (4, 5) }
|A X B| = |A| |B|
Generalizes to more than two sets
A X B X … X Z
Fall2005CostasBusch-RPI
16
FUNCTIONS
domain
1
2
3
a
b
c
range
f : A -> B
A B
If A = domain
then f is a total function
otherwise f is a partial function
f(1) = a
4
5
Fall2005CostasBusch-RPI
17
RELATIONS
R = {(x1, y1), (x2, y2), (x3, y3), …}
xi R yi
e. g. if R = ‘>’: 2 > 1, 3 > 2, 3 > 1
Fall2005CostasBusch-RPI
18
Equivalence Relations
• Reflexive: x R x
• Symmetric: x R y y R x
• Transitive: x R y and y R z x R z
Example: R = ‘=‘
• x = x
• x = y y = x
• x = y and y = z x = z
Fall2005CostasBusch-RPI
19
Equivalence Classes
For equivalence relation R
equivalence class of x = {y : x R y}
Example:
R = { (1, 1), (2, 2), (1, 2), (2, 1),
(3, 3), (4, 4), (3, 4), (4, 3) }
Equivalence class of 1 = {1, 2}
Equivalence class of 3 = {3, 4}
Fall2005CostasBusch-RPI
20
GRAPHS
A directed graph
• Nodes (Vertices)
V = { a, b, c, d, e }
• Edges
E = { (a,b), (b,c), (b,e),(c,a), (c,e), (d,c), (e,b), (e,d) }
node
edge
a
b
c
d
e
Fall2005CostasBusch-RPI
21
Labeled Graph
a
b
c
d
e
1 3
5
6
2
6
2
Fall2005
22
CostasBusch-RPI
Walk
a
b
c
d
e
Walk is a sequence of adjacent edges
(e, d), (d, c), (c, a)
Fall2005
23
CostasBusch-RPI
Path
a
b
c
d
e
Path is a walk where no edge is repeated
Simple path: no node is repeated
Fall2005CostasBusch-RPI
24
Cycle
a
b
c
d
e
1
2
3
Cycle: a walk from a node (base) to itself
Simple cycle: only the base node is repeated
base
Fall2005CostasBusch-RPI
25
Euler Tour
a
b
c
d
e
1
2
3
4
5
6
7
8 base
A cycle that contains each edge once
Fall2005CostasBusch-RPI
26
Hamiltonian Cycle
a
b
c
d
e
1
2
3
4
5 base
A simple cycle that contains all nodes
Fall2005CostasBusch-RPI
27
Finding All Simple Paths
a
b
c
d
e
origin
Fall2005CostasBusch-RPI
28
(c, a)
(c, e)
Step 1
a
b
c
d
e
origin
Fall2005CostasBusch-RPI
29
(c, a)
(c, a), (a, b)
(c, e)
(c, e), (e, b)
(c, e), (e, d)
Step 2
a
b
c
d
e
origin
Fall2005CostasBusch-RPI
30
Step 3
a
b
c
d
e
origin
(c, a)
(c, a), (a, b)
(c, a), (a, b), (b, e)
(c, e)
(c, e), (e, b)
(c, e), (e, d)
Fall2005CostasBusch-RPI
31
Step 4
a
b
c
d
e
origin
(c, a)
(c, a), (a, b)
(c, a), (a, b), (b, e)
(c, a), (a, b), (b, e), (e,d)
(c, e)
(c, e), (e, b)
(c, e), (e, d)
Fall2005CostasBusch-RPI
32
Trees
root
leaf
parent
child
Trees have no cycles
Fall2005CostasBusch-RPI
33
root
leaf
Level 0
Level 1
Level 2
Level 3
Height 3
Fall2005CostasBusch-RPI
34
Binary Trees
Fall2005CostasBusch-RPI
35
PROOF TECHNIQUES
• Proof by induction
• Proof by contradiction
Fall2005CostasBusch-RPI
36
Induction
We have statements P1, P2, P3, …
If we know
• for some b that P1, P2, …, Pb are true
• for any k >= b that
P1, P2, …, Pk imply Pk+1
Then
Every Pi is true
Fall2005CostasBusch-RPI
37
Proof by Induction
• Inductive basis
Find P1, P2, …, Pb which are true
• Inductive hypothesis
Let’s assume P1, P2, …, Pk are true,
for any k >= b
• Inductive step
Show that Pk+1 is true
Fall2005CostasBusch-RPI
38
Example
Theorem: A binary tree of height n
has at most 2n
leaves.
Proof by induction:
let L(i) be the maximum number of
leaves of any subtree at height i
Fall2005CostasBusch-RPI
39
We want to show: L(i) <= 2i
• Inductive basis
L(0) = 1 (the root node)
• Inductive hypothesis
Let’s assume L(i) <= 2i
for all i = 0, 1, …, k
• Induction step
we need to show that L(k + 1) <= 2k+1
Fall2005CostasBusch-RPI
40
Induction Step
From Inductive hypothesis: L(k) <= 2k
height
k
k+1
Fall2005CostasBusch-RPI
41
L(k) <= 2k
L(k+1) <= 2 * L(k) <= 2 * 2k
= 2k+1
Induction Step
height
k
k+1
(we add at most two nodes for every leaf of level k)
Fall2005CostasBusch-RPI
42
Remark
Recursion is another thing
Example of recursive function:
f(n) = f(n-1) + f(n-2)
f(0) = 1, f(1) = 1
Fall2005CostasBusch-RPI
43
Proof by Contradiction
We want to prove that a statement P is true
• we assume that P is false
• then we arrive at an incorrect conclusion
• therefore, statement P must be true
Fall2005CostasBusch-RPI
44
Example
Theorem: is not rational
Proof:
Assume by contradiction that it is rational
= n/m
n and m have no common factors
We will show that this is impossible
2
2
Fall2005CostasBusch-RPI
45
= n/m 2 m2
= n2
Therefore, n2
is even
n is even
n = 2 k
2 m2
= 4k2
m2
= 2k2
m is even
m = 2 p
Thus, m and n have common factor 2
Contradiction!
2

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