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Wednesday, December 28, 2011

FUNDAMENTALS OF COUNTING

COUNTING

            Techniques for counting are important in mathematics and in computer science, specially in the analysis of algorithms. 

PERMUTATIONS
        - is an arrangement of all or part of a set of objects wherein the composition of the group and the order of the items within the group are both considered.

Theorem 1 :  Supposed that two tasks  T1 and T2 are to be performed in sequence. If T1 can be  performed in n1 ways, and for each of these ways T2 can be performed in n2 ways, then  the sequence T1 T2 can be performed in n1n2 ways.  

Theorem 1 is called the multiplication principle of counting.

Theorem 2 :  Supposed that tasks  T1, T2, . . . Tk  are to be performed in sequence. If T1 can be performed in n1 ways, and for each of these T2 can be performed in n2 ways, and for each of these  n1n2 ways of performing T1 T2 in sequence, T3 can be performed in n3 ways, and so on, then the sequence  T1, T2, . . . Tk ,  can be performed in exactly n1 n2 , . . . , nk ways.

         


Possible ways of performing Task 1                        Possible ways of performing Task 1


                       

                            
      

Possible ways of performing  Task 1, then Task 2 in sequence

Ex. 1. Label plates for cars are consists of three beginning letters followed by three  digits. How many distinct label plates are possible if ( a ) repetitions are allowed and ( b ) repetitions is not allowed?
    2.  Label plates for motorcycles are consists of four beginning digits followed by two letters. How many distinct label plates are possible if ( a ) repetitions are allowed and ( b ) repetitions is not allowed?
    3. Label identifier for computer system, consists of one letter followed by three digits. How many distinct label identifiers are possible if ( a ) repetitions are allowed and ( b) repetitions is not allowed?

Problem 1.  How many distinct sequences, each of length  r , can be formed using elements from a set A if a) elements in the sequence can be repeated, (b) all elements in the sequence must be distinct?
                 



·   ·   ·


           “Position 1”         “Position 2”     “Position 3”           “Position  r – 1”       “Position   r ”
  
          Let  T1 be the task to fill  “position 1”,  T2  be the task to fill “position 2” and so on. Then the combined task  T1 T2 T3  . . . Tr  represents the formation of the sequence.  As a solution to problem 1  letter ( a )  T1 can be accomplished in  n ways,  since we can copy any element of A for  “position 1”. The same is true for each of task  T2 , T3 . . . Tr . Then by the extended multiplication principle, the number of sequences that can be formed is
n . n . . . n  =  n r
Theorem 3 : Let A be a set with n elements and  1 <=  r  <=  n .  Then the number of sequences of length  r  can be formed from elements of A,  allowing repetitions, is  n r

Ex.  1. How many 3-letter words can be formed from the letters in the set { a , b , y , z } if  
           repetition of letters is allowed.  
                               n =  4 ,   r = 3 ,    hence by Theorem 3, the number of words are   43  =  64.

         As a solution to problem 1 letter ( b ) T1 can be performed in n ways, since any element of set A can be chosen for the first position. Whichever element is chosen , only ( n – 1 ) elements remain, so that T2 can be performed in (n – 1 ) ways, and so on until Tr  can be performed in  n – ( r – 1 ) or  ( n – r  + 1 ) ways. Thus by the extended principle of multiplication, a sequence of  r  distinct elements of  set A can be formed in  n ( n – 1 ) ( n – 2 ) . . . ( n – r + 1 ) ways.  

         A sequence of r distinct elements of A is often called a permutation of A taken  r  at a time,  nPr. .   nPr  is called the number of permutations of n objects taken  r  at a time

Theorem 4.  If  1 <=  r  <=  n  then  nPr , the number of permutations of n objects taken  r  at a time, is
                                        n . ( n – 1 ) . ( n – 2 ) . . . ( n – r + 1 ).

       When  r  =  n , the distinct arrangements of the elements of set A is counted with  | A | = n,  into sequences of length  n called a permutation of A. 
       The number of permutations of A is  nPn or  n . ( n – 1 ) . ( n – 2 ) . . . 2 . 1, if   n  >=  1. This number is also written as n! ,  read as  n factorial.  0! is 1.


                                           nPn  =  n!      and  nPr  =        n!      .
                                                                                 ( n – r )!

Examples :
   1.  How many permutations can be formed  from the elements of  A = {  a, b, c, d }
   2.  How many permutations can be formed from a deck of cards ?
   3.  How many “words” of three distinct letters can be formed from the letters of STOMACH?

Theorem 5 :  The number of distinguishable permutations that can be formed from a collection of objects  
                      where the first object appears k1 times, the second object k2 times, and so on is   


                                               

Example : 
1.  Determine the number of distinguishable “words” that can be formed from the letters of   
      MASSACHUSETTS, ZAMBOANGA, ALAMADA,  PULUPANDAN and TAWITAWI.


  2.  A bank password consists of two letters of the English alphabet followed by two digits. How many  
        different passwords are there ?   


  3.  A coin is tossed four times and the result of each toss is recorded. How many different sequences of  heads and tails are possible ?      


  4.  Compute each of the following :   4P4 ,   6 P5 7 P 2  ,  n Pn – 1    ,    n Pn – 2    ,  n + 1 Pn – 1    ,    n – 2 Pn – 3   
  5.  In how many ways can six men and six women be seated in a row if
            a) any person may sit next to any other, b) men and women must occupy alternate seats?   
6.  A fair six-sided is tossed four times and the numbers shown are recorded in a sequence. How many  
      different sequences are there ?    
  7.  Compute the number of permutations of the given set :
            a)  { w,  x,  y,  z }                                      c)   { 4,  7,  10,  13,  17 }                           
            b)  { a,  b,  1,  2,  3,   c }                         d)   { 2,  4,  6,  8,   8,   10 }
  8.  Find the number of permutations of  A  taken  r  at a time :
            a)  A = { 1,   2,   3,   4,   5,   6,  7,  8,  9  } and  r  =  6
            b)  A = {  x | x  is an integer  and  x2  <  83 }  and  r  =  3
            c)  A =  {  x | x  is an even integer  and  7 <  x  < 33 }  and  r  =  4


COMBINATIONS
          The multiplication principle and counting methods for permutations all apply to situations where order matters. The traditional name for an r-element subset of an n-element set A is a combination of A, taken r at a time.      
          A combination of  r objects taken from a set S of  n  objects is a subset of S whose composition does not take into account ordering or arrangement of the elements.

Example 1. Let A = { w,  x,  y,  z }. The following are all distinct combinations of A, taken 3 at a time. 
          A1 = { w,  x,  y } ,   A2  =  { w,  x,  z } ,  A3  =  { w,  y,  z } ,   A4  =  { x,  y,  z }. Note that these are     
    subsets, not sequences. Thus,  A1 = { x,  w,  y } = x,  y,  w } =  { w,  y,  x } =  { y,  w,  x } =  { y,  x,  w }.
    In other words, combinations, unlike permutations, the order of the elements is irrelevant.

Problem 2.  Let A be any set with n elements  and  1 £  r  £  n .  How many different subsets of A are there, each with  r  elements ?
            We want to count the number of  r – element subsets of an n –element set A. 
                        Task 1 :  Choose a subset B of A containing r elements.
                        Task 2 :  Choose a particular permutation of B.   
       We are trying to compute the number of ways to choose B, call this number C. Then task 1 can be done in C ways and task 2 can be done in  r! ways. By multiplication principle;  C . r! which is also  nPr.  

                        C . r !  =   nPr. =         n!           ,                                 .  
                                                      ( n – r ) !                                               
                       
      therefore    C  =          n !           
                                     r ! ( n – r ) !  

Theorem  1 :  Let A be a set with | A |  = n,  and  let  1  <=  r  <=   n .  Then the number of combinations of the elements of A, taken r at a time, that is the number of  r-element subsets of A is
                                                                                            n !                                       .  
                                                                                      r ! ( n – r ) !     

       The number of Combinations of n objects taken r at a time is given by
                                                              nC r. =            n !                                       .  
                                                                               r ! ( n – r ) !
Example.  1.  Determine the number of distinct  five-card hands that can be dealt from a deck of cards.
                                           5 C52. =           52 !              =         52 !           =     2,598,960.  
                                                            5 ! ( 52 – 5 ) !               5!  47! 

                2.   Compute  ( a )  7 C 7        ( b )  9 C 5            ( c )  15 C 9.        ( d ) 8 C 4.

Theorem 2 :  Suppose k selections are to be made from  n items without regard to order and that repeats are allowed, assuming at least k copies of each of the n items. The number of ways these selections can be made is 
                                                 ( n  +  k – 1 ) C k      

Ex. 3  In how many ways can a prize winner choose three CDs from the Top Ten list if repeats are  
     allowed ?

            Solution.  n is 10  and  k = 3, by theorem 2 there are  ( 10  + 3  – 1 ) C 3 or   12 C 3  ways to make the selections. The prize winner can make the selection in 220 ways

In general, when order matters, we count the number of sequences or permutations; when order does not matter, we count the number of subsets or combinations.

Example 4.
             A valid password consists of  ten characters, the first of which is a letter chosen from the set
      { Q, R,  S,  T,  U,  V,  W,  X,  Y,  Z }  and the remaining nine characters  are letters chosen from the English alphabet or a digit. How many different passwords are possible ? 
               Solution :  A password can be constructed by performing the tasks  T1  and  T2  in sequence. 
  T1 : Choosing a starting letter from the set given    10 C 1  =  10     
  T2 : Choosing a sequence of letter and digits. Repeats are allowed. ( 26 + 10 ) 9 =  101,559,956,668,416 
  By multiplication principle, there are  = 10 . 101,559,956,668,416  =  1,015,599,566,684,160       
Example 5. How many different eight-person committee can be formed each containing three women             
                from an available 15 women and five men from an available set of 20 men ?
                T1 :  Choose 3 women from the set of  15 women.    15 C 3  =  455
                T2 :  Choose 5 men from the set of 20 men.                   2 0 C 5  =  15 504
            By multiplication principle, there are ( 455 )( 15,504 ) = 7 054 320  different committees.  



6. Compute each of the following   a)  n C n – 1                   b)  n – 1 C n – 2              c)  n + 1 C n – 1  
    

  7. Show that  a)   n C r   =  n C n –  r       b)  n + 1 C  r   =  n C r –  1  +  n C  r     
                           

8. In how many ways can a committee of three faculty members and two students be selected from seven faculty members and eight students ?


9. An urn contains 15 balls, of which eight are red and seven are black. In how many ways can five balls be chosen so that  a) two are red and three are black  and  b) three are red and two are black.
                            

10. Five fair coins are tossed and the results are recorded.  ( a ) How many different sequences of heads and tails are possible ? (b ) How many of the sequences in part (a ) have exactly one head recorded? (c ) How many of the sequences in part ( a ) have exactly three heads recorded ?     


11.  How many ways can you choose three of seven fiction books and two of six non-fiction books to take with you on your vacation ?           


12. A gift certificate at a local bookstore allows the recipient to choose six books from the combined list of ten best-selling fiction books and ten best-selling non-fiction books. In how many different ways can the selection of six books be made ?     
   

13.  An urn contains 15 balls, of which eight are red and seven are black. In how many ways can 5 balls be chosen so that at least two are red ?         

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