recurrenec relations

Chapter 8: Recurrence Relations : 

Chapter 8: Recurrence Relations Discrete Mathematical Structures: Theory and Applications

Learning Objectives : 

Discrete Mathematical Structures: Theory and Applications 2 Learning Objectives Learn about recurrence relations Learn the relationship between sequences and recurrence relations Explore how to solve recurrence relations by iteration Learn about linear homogeneous recurrence relations and how to solve them Become familiar with linear nonhomogeneous recurrence relations

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 3 Sequences and Recurrence Relations

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 4 Sequences and Recurrence Relations

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 5 Sequences and Recurrence Relations

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 6 Sequences and Recurrence Relations

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 7 Sequences and Recurrence Relations

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 8 Sequences and Recurrence Relations

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 9 Sequences and Recurrence Relations

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 10 Sequences and Recurrence Relations Tower of Hanoi In the nineteenth century, a game called the Tower of Hanoi became popular in Europe. This game represents work that is under way in the temple of Brahma. There are three pegs, with one peg containing 64 golden disks. Each golden disk is slightly smaller than the disk below it. The task is to move all 64 disks from the first peg to the third peg.

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 11 Sequences and Recurrence Relations The rules for moving the disks are as follows: Only one disk can be moved at a time. The removed disk must be placed on one of the pegs. A larger disk cannot be placed on top of a smaller disk. The objective is to determine the minimum number of moves required to transfer the disks from the first peg to the third peg.

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 12 Sequences and Recurrence Relations First consider the case in which the first peg contains only one disk. The disk can be moved directly from peg 1 to peg 3. Consider the case in which the first peg contains two disks. First move the first disk from peg 1 to peg 2. Then move the second disk from peg 1 to peg 3. Finally, move the first disk from peg 2 to peg 3.

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 13 Consider the case in which the first peg contains three disks and then generalize this to the case of 64 disks (in fact, to an arbitrary number of disks). Suppose that peg 1 contains three disks. To move disk number 3 to peg 3, the top two disks must first be moved to peg 2. Disk number 3 can then be moved from peg 1 to peg 3. To move the top two disks from peg 2 to peg 3, use the same strategy as before. This time use peg 1 as the intermediate peg. Figure 8.2 shows a solution to the Tower of Hanoi problem with three disks. Sequences and Recurrence Relations

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Discrete Mathematical Structures: Theory and Applications 15 Generalize this problem to the case of 64 disks. To begin, the first peg contains all 64 disks. Disk number 64 cannot be moved from peg 1 to peg 3 unless the top 63 disks are on the second peg. So first move the top 63 disks from peg 1 to peg 2, and then move disk number 64 from peg 1 to peg 3. Now the top 63 disks are all on peg 2. To move disk number 63 from peg 2 to peg 3, first move the top 62 disks from peg 2 to peg 1, and then move disk number 63 from peg 2 to peg 3. To move the remaining 62 disks, follow a similar procedure. In general, let peg 1 contain n ≥ 1 disks. 1. Move the top n − 1 disks from peg 1 to peg 2 using peg 3 as the intermediate peg. 2. Move disk number n from peg 1 to peg 3. 3. Move the top n − 1 disks from peg 2 to peg 3 using peg 1 as the intermediate peg.

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 16 Sequences and Recurrence Relations

Sequences and Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 17 Sequences and Recurrence Relations

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Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 19 Linear Homogenous Recurrence Relations

Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 20 Linear Homogenous Recurrence Relations

Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 21 Linear Homogenous Recurrence Relations

Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 22 Linear Homogenous Recurrence Relations

Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 23 Linear Homogenous Recurrence Relations

Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 24 Linear Homogenous Recurrence Relations

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Discrete Mathematical Structures: Theory and Applications 26

Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 27 Linear Homogenous Recurrence Relations

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Discrete Mathematical Structures: Theory and Applications 29

Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 30 Linear Homogenous Recurrence Relations

Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 31 Linear Homogenous Recurrence Relations

Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 32 Linear Homogenous Recurrence Relations

Linear Homogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 33 Linear Homogenous Recurrence Relations

Linear Nonhomogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 34 Linear Nonhomogenous Recurrence Relations

Linear Nonhomogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 35 Linear Nonhomogenous Recurrence Relations

Linear Nonhomogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 36 Linear Nonhomogenous Recurrence Relations

Linear Nonhomogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 37 Linear Nonhomogenous Recurrence Relations

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Linear Nonhomogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 39 Linear Nonhomogenous Recurrence Relations

Linear Nonhomogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 40 Linear Nonhomogenous Recurrence Relations

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Discrete Mathematical Structures: Theory and Applications 42

Linear Nonhomogenous Recurrence Relations : 

Discrete Mathematical Structures: Theory and Applications 43 Linear Nonhomogenous Recurrence Relations

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Discrete Mathematical Structures: Theory and Applications 44 Remark 8.3.14 There are two ways to solve a linear nonhomogeneous equation of the form with some given initial conditions. First find a particular solution and then add the particular solution to a solution of the associated linear homogeneous recurrence relation. First obtain a linear homogeneous recurrence relation from the given linear nonhomogeneous recurrence relation, as shown in this section. Then a solution of the given linear nonhomogeneous recurrence relation is also a solution of the linear homogeneous equation obtained. Next find a solution of the homogeneous recurrence relation and use the initial conditions of the nonhomogeneous recurrence solution to find the constants. Finally, verify that the solution obtained satisfies the linear nonhomogeneous recurrence relation.