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Boundless Algebra
Sequences and Series
Sequences and Series
Algebra Textbooks Boundless Algebra Sequences and Series Sequences and Series
Algebra Textbooks Boundless Algebra Sequences and Series
Algebra Textbooks Boundless Algebra
Algebra Textbooks
Algebra
Concept Version 13
Created by Boundless

Introduction to Sequences

A mathematical sequence is an ordered list of objects, often numbers. Sometimes the numbers in a sequence are defined in terms of a previous number in the list.

Learning Objective

  • Differentiate between arithmetic and geometric sequences


Key Points

    • The number of ordered elements (possibly infinite) is called the length of the sequence. Unlike a set, order matters, and a particular term can appear multiple times at different positions in the sequence.
    • An arithmetic sequence is one in which a term is obtained by adding a constant to a previous term of a sequence. So the nnnth term can be described by the formula an=an−1+da_n = a_{n-1} + d a​n​​=a​n−1​​+d.
    • A geometric sequence is one in which a term of a sequence is obtained by multiplying the previous term by a constant. It can be described by the formula an=r⋅an−1a_n=r \cdot a_{n-1}a​n​​=r⋅a​n−1​​.

Terms

  • sequence

    An ordered list of elements, possibly infinite in length.

  • finite

    Limited, constrained by bounds.

  • set

    A collection of zero or more objects, possibly infinite in size, and disregarding any order or repetition of the objects that may be contained within it.


Full Text

Sequences

In mathematics, a sequence is an ordered list of objects. Like a set, it contains members (also called elements or terms). The number of ordered elements (possibly infinite) is called the length of the sequence. Unlike a set, order matters, and a particular term can appear multiple times at different positions in the sequence. 

For example, (M,A,R,Y)(M, A, R, Y)(M,A,R,Y) is a sequence of letters that differs from (A,R,M,Y)(A, R, M, Y)(A,R,M,Y), as the ordering matters, and (1,1,2,3,5,8)(1, 1, 2, 3, 5, 8)(1,1,2,3,5,8), which contains the number 1 at two different positions, is a valid sequence. Sequences can be finite, as in this example, or infinite, such as the sequence of all even positive integers (2,4,6,⋯)(2, 4, 6, \cdots )(2,4,6,⋯). Finite sequences are sometimes known as strings or words and infinite sequences as streams.

Sequence

Part of an infinite sequence of real numbers (in blue). This sequence is neither increasing, nor decreasing, nor convergent. It is, however, bounded within the two dashed lines.

Examples and Notation

Finite and Infinite Sequences

A more formal definition of a finite sequence with terms in a set SSS is a function from {1,2,⋯,n}\left \{ 1, 2, \cdots, n \right \}{1,2,⋯,n} to SSS for some n>0n > 0n>0. An infinite sequence in SSS is a function from {1,2,⋯}\left \{ 1, 2, \cdots \right \}{1,2,⋯} to SSS. For example, the sequence of prime numbers (2,3,5,7,11,⋯)(2,3,5,7,11, \cdots )(2,3,5,7,11,⋯) is the function 

1→2,2→3,3→5,4→7,5→11,⋯1\rightarrow 2, 2\rightarrow 3, 3\rightarrow 5, 4\rightarrow 7, 5\rightarrow 11, \cdots1→2,2→3,3→5,4→7,5→11,⋯ 

A sequence of a finite length n is also called an nnn-tuple. Finite sequences include the empty sequence ()( \quad )() that has no elements.

Recursive Sequences

Many of the sequences you will encounter in a mathematics course are produced by a formula, where some operation(s) is performed on the previous member of the sequence an−1a_{n-1}a​n−1​​ to give the next member of the sequence ana_na​n​​. These are called recursive sequences.

Arithmetic Sequences

An arithmetic (or linear) sequence is a sequence of numbers in which each new term is calculated by adding a constant value to the previous term. An example is (10,13,16,19,22,25)(10,13,16,19,22,25)(10,13,16,19,22,25). In this example, the first term (which we will call a1a_1a​1​​) is 101010, and the common difference (ddd)—that is, the difference between any two adjacent numbers—is 333. The recursive definition is therefore 

an=an−1+3,a1=10\displaystyle{a_n=a_{n-1}+3, a_1=10}a​n​​=a​n−1​​+3,a​1​​=10

Another example is (25,22,19,16,13,10)(25,22,19,16,13,10)(25,22,19,16,13,10). In this example a1=25a_1 = 25a​1​​=25, and d=−3d=-3d=−3. The recursive definition is therefore 

an=an−1−3,a1=25\displaystyle{a_n=a_{n-1}-3, a_1=25}a​n​​=a​n−1​​−3,a​1​​=25

In both of these examples, nnn (the number of terms) is 666.

Geometric Sequences

A geometric sequence is a list in which each number is generated by multiplying a constant by the previous number. An example is (2,6,18,54,162)(2,6,18,54,162)(2,6,18,54,162). In this example, a1=2a_1=2a​1​​=2, and the common ratio (rrr)—that is, the ratio between any two adjacent numbers—is 3. Therefore the recursive definition is 

an=3an−1,a1=2a_n=3a_{n-1}, a_1=2a​n​​=3a​n−1​​,a​1​​=2

Another example is (162,54,18,6,2)(162,54,18,6,2)(162,54,18,6,2). In this example a1=162a_1=162a​1​​=162, and r=13\displaystyle{r=\frac{1}{3}}r=​3​​1​​. Therefore the recursive formula is 

an=13⋅an−1,a1=162\displaystyle{a_n=\frac13\cdot a_{n-1}, a_1=162}a​n​​=​3​​1​​⋅a​n−1​​,a​1​​=162 

In both examples n=5n=5n=5. 

Explicit Definitions

An explicit definition of an arithmetic sequence is one in which the nnnth term is defined without making reference to the previous term. This is more useful, because it means you can find (for instance) the 20th term without finding all of the other terms in between.

To find the explicit definition of an arithmetic sequence, you begin writing out the terms. Assume our sequence is $t_1, t_2, \dots $. The first term is always t1t_1t​1​​. The second term goes up by ddd, and so it is t1+dt_1+dt​1​​+d. The third term goes up by ddd again, and so it is (t1+d)+d,(t_1+d)+d,(t​1​​+d)+d,  or in other words, t1+2dt_1+2dt​1​​+2d. So we see that: 

t1=t1t2=t1+dt3=t1+2dt4=t1+3d⋮\displaystyle{ \begin{aligned} t_1 &= t_1 \\ t_2 &= t_1+d \\ t_3 &= t_1+2d \\ t_4 &= t_1+3d \\ &\vdots \end{aligned} }​t​1​​​t​2​​​t​3​​​t​4​​​​​​=t​1​​​=t​1​​+d​=t​1​​+2d​=t​1​​+3d​⋮​​

and so on. From this you can see the generalization that: 

tn=t1+(n−1)dt_n = t_1+(n-1)dt​n​​=t​1​​+(n−1)d

which is the explicit definition we were looking for.

The explicit definition of a geometric sequence is obtained in a similar way. The first term is t1t_1t​1​​; the second term is rrr times that, or t1rt_1rt​1​​r; the third term is rrr times that, or t1r2t_1r^2t​1​​r​2​​; and so on. So the general rule is: 

tn=t1⋅rn−1t_n=t_1 \cdot r^{n-1}t​n​​=t​1​​⋅r​n−1​​

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