CS173 Discrete Mathematical Structures Homework 5, Assignments of Discrete Structures and Graph Theory

The fall 2006 cs173 discrete mathematical structures homework #5 for a university course. It includes several mathematical problems related to functions, one-to-one mappings, bijections, and big-o notation. Students are required to prove theorems, find compositions of functions, and determine the domains and co-domains of functions. The homework is due on october 1, 2006.

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Pre 2010

Uploaded on 03/11/2009

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CS173 Discrete Mathematical Structures
Fall 2006
Homework #5
due Sunday, October 1, 2006, 8:00 a.m.
1. Given functions f: B → C and g: A → B, if f and (f ◦ g) are one-to-one, does it follow
that g is one-to-one? Prove your response.
2. Suppose f is a bijection from A to B. Suppose g is a bijection from B to C.
Prove that (g ◦ f) is a bijection from A to C.
3. Let
xxf 10)(
3.1. Find f ◦ (2f)
3.2. What is the domain and the co-domain of f ◦ (2f)?
4. True or false?
4.1.
)3(2
2nn
nO
4.2.
))(log(2
100
nnO
n
4.3.
))!((2 nnO
n
4.4.
)()log(
001.1
nOnn
4.5.
)()log(
0001.0
nnOnn
4.6.
)(!
10
10
nn
4.7.
)2(1
101
O
5. Give a tight big-O estimate on the following functions:
5.1.
5.2.
n
n
nf
3
1
...
3
1
3
1
3
1
2
1
...
2
1
2
1
2
1
)(
210
210
6. Prove or disprove:
6.1. If f1(x) = O(g(x)) and f2(x) = O(g(x)), then g = (f1(x)+ f2(x))
6.2.
If f1(x) = O(g(x)) and f2(x) = O(g(x)), then (f1f2)(x) = O(g(x))
6.3. If f(x) = O(g(x)) then
)2(2
)()( xgxf
O
6.4 If f(x) = x2+x+10 then f(x) = O(x2)

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CS173 Discrete Mathematical Structures Fall 2006 Homework # due Sunday, October 1, 2006, 8:00 a.m.

  1. Given functions f : B → C and g : A → B, if f and ( f ◦ g) are one-to-one, does it follow that g is one-to-one? Prove your response.
  2. Suppose f is a bijection from A to B. Suppose g is a bijection from B to C. Prove that ( g ◦ f ) is a bijection from A to C.
  3. Let f^ ( x )^10  x 3.1. Find f ◦ (2 f ) 3.2. What is the domain and the co-domain of f ◦ (2 f )?
  4. True or false? 4.1. 2 n^  O ( n^2  3 n ) 4.2. 2 n^  O (log( n ) n^100 ) 4.3. 2 n^  O (( nn !)) 4.4. log(^ ) ( ) n nO n^1.^001 4.5. n log( n ) O ( n^0.^0001  n ) 4.6. (^)! ( ) 1010 n  n 4.7. 1  O ( 2101 )
  5. Give a tight big- O estimate on the following functions: 5.1. log(log(!)) 10 log( ) ( ) 10 n n n f n    5.2. n n f n 3

0 1 2 0 1 2    

  1. Prove or disprove: 6.1. If f 1 ( x ) = O ( g ( x )) and f 2 ( x ) = O ( g ( x )), then g = ( f 1 ( x )+ f 2 ( x )) 6.2. If f 1 ( x ) = O ( g ( x )) and f 2 ( x ) = O ( g ( x )), then ( f 1 ◦ f 2 )( x ) = O ( g ( x )) 6.3. If f ( x ) = O ( g ( x )) then 2 (^2 ) f ( x )  O g ( x ) 6.4 If f ( x ) = x^2 + x +10 then f ( x ) = O ( x^2 )