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CSNB 143 Discrete Mathematical Structures. Chapter 3 – Sequence and String. OBJECTIVES Students should be able to differentiate few characteristics of sequence. Students should be able to use sequence and strings. Students should be able to concatenate string and know how to use them.

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csnb 143 discrete mathematical structures

CSNB 143 Discrete Mathematical Structures

Chapter 3 – Sequence and String

slide2

OBJECTIVES

  • Students should be able to differentiate few characteristics of sequence.
  • Students should be able to use sequence and strings.
  • Students should be able to concatenate string and know how to use them.
what which where when
What, which, where, when

Knowledge about sequence

  • Finite (Clear / Not Clear )
  • Infinite (Clear / Not Clear )
  • Recursive (Clear / Not Clear )
  • Explicit (Clear / Not Clear )
  • Increasing (Clear / Not Clear )
  • Decreasing (Clear / Not Clear )
slide4

String (Clear / Not Clear )

  • Concatenation (Clear / Not Clear )
  • Subsequence (Clear / Not Clear )
sequence
Sequence
  • A list of objects in its order. That is, taking order as an important thing.
  • A list in which the first one should be in front, followed by the second element, third element and so on.
  • List might be ended after n, n N and it is named as Finite Sequence. We called n as an index for that sequence.
  • List might have no ending value, and this is called as Infinite Sequence.
  • Elements might be redundancy.
slide6

Ex 1:

  • S = 2, 4, 6, …, 2n
  • S = S1, S2, S3, … Sn

where S1=2, S2= 4, S3=6, … Sn = 2n

Ex 2:

  • T = a, a, b, a, b

where T1=a, T2=a, T3=b, T4=a, T5=b

slide7

If the sequence is depending on the previous value, it is called Recursive Sequence.

  • If the sequence is not depending on the previous value, in which the value can be directly retrieved, it is called Explicit Sequence.
slide8

Ex 3:

An = An-1 + 5; A1 = 1, 2 n < , this is a recursive sequence

where: A2 = A1 + 5

A3 = A2 + 5

Ex 4:

An = n2 + 1; 1 n < , this is an explicit sequence

where: A1 = 1 + 1 = 2

A2 = 4 + 1 = 5

A3 = 9 + 1 = 10

  • That is, we can get the value directly, without any dependency to previous value.
slide9

Both recursive and explicit formula can have both finite and infinite sequence.

  • Ex 5: Consider all the sequences below, and identify which sequence is recursive/explicit and finite/infinite.
  • C1 = 5, Cn = 2Cn-1, 2 n 6
  • D1 = 3, Dn = Dn-1 + 4
  • Sn = (-4)n, 1 n
  • Tn = 92 – 5n, 1 n 5
slide10

Both sequences also can have an Increasing or Decreasing sequence.

  • A sequence is said to be increased if for each Sn, the value is less than Sn + 1 for all n,

Sn Sn + 1 ; all n

  • A sequence is said to be decreased if for each Sn the value is bigger than Sn + 1 for all n,

Sn Sn + 1 ; all n

slide11

Ex 6: Determine either this sequence in increasing or decreasing.

  • Sn = 2(n + 1), n 1
  • Xn = (½)n, n 1
  • S = 3, 5, 5, 7, 8, 8, 13
string
String
  • Sequences or letters or other symbols that is written without commas are also referred as strings.
  • An infinite string such as abababa… may be regarded as infinite sequence of a,b,a,b,a,b,a…
  • The set corresponding to sequence is simply the set of all distinct elements in the sequence.
    • E.g 1: 1,4,8,9,2… is {1,4,8,9,2…}
    • E.g 2 : a,b,a,b,a,b,a… is simply {a, b}
slide13

A string over A set is a finite sequence of elements from A.

  • Let A = {a, b, c}. If we let

A1 = b, A2 = a, A3 = a, A4 = c

Then we obtain a string over A. The string is written baac.

  • Since a string is a sequence, order is taken into account. For example the string baac is different from acab.
  • Repetition in a string can be specified by superscript. For example the string bbaaac may be written b2a3c.
slide14

The string with no element is call the null string and is denoted as . We let set A* denote the set of all strings over A, including the null string.

Ex 10:

  • Let say A = {a, b, c, …, z}
  • Then

A* = {aaaa, computer, denda, pqr, sysrq,… }

  • Or let X = {a, b }. Some elements of X* are:
    • a, b, baba, , b2a29ba
slide15

That is, all finite sequence that can be build from A, contains all words either it has any meaning or not, regardless its length.

  • The number of elements in any string A is called Elements’ Length, denoted as |A|.

Ex 11:

  • If A = abcde…z, then |A| = 26.
concatenation
Concatenation
  • If W1 and W2 are two strings, the string consisting of W1 followed by W2 written W1. W2 is called concatenation of W1 and W2 :

W1.W2 =A1A2A3…AnB1B2B3…Bm

where W1.W2

And it is known that

W1. = W1 and .W1 = W1

slide17

Ex 12: Let say R = aabc, S = dacb

  • So, R.S = aabcdacb S.R = dacbaabc
  • R. = aabc .R = aabc
subsequence
Subsequence
  • It is quite different from what we have learn in subset
  • A new sequence can be build from original sequence, but the order of elements must remains.

Ex 13:

  • T = a, a, b, c, q

where T1=a, T2=a, T 3=b, T4=c, T5=q

S = b, c is a subsequence of T

but R = c, b is not a subsequence of T

  • *Take note that the order in which b and c appears must be the same with the original sequence.
slide19

Exercise

  • List all string on X = {0, 1}, with length 2.
  • With your own words, explain the meaning of sequence. What is the basic difference between sequence and set?
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