If a geometric sequence's common ratio \(r\) lies between -1 and 1 then the sum of its terms will converge towards a finite number, known as its infinite sum, or total sum, which we'll refer to with the notation \(S_{\infty}\).
For example, consider the sequence : \[4, \ 2, \ 1, \ 0.5, \ 0.25, \ \dots \] This is a geometric sequence with \(u_1 = 4\) and \(r=0.5\)
Its corresponding geometric series is: \[4, \ 6, \ 7, \ 7.5, \ 7.75, \ \dots \] Remember: the n-th term of the geometric series is equal to the sum of the first n terms of the sequence.
As we add more and more terms of the sequence, their sum (and therefore the terms of the series) will get closer and closer to 8 but will never actually reach it.
Go ahead and try and try adding more terms of this sequence, you will never reach 8.
Nevertheless as we add more terms the sum will get closer and closer to 8, in fact it can get as close as we wish provided we add enough terms of the sequence. We say that the sum, and therefore the series, converges towards 8. We can write: \[\text{as} \ n \to +\infty, \ S_n \to S_{\infty}\] Where \(S_8 = 8\).
Given a geometric sequence, if its common ratio is between -1 and 1: \[-1 < r < 1\] which we could also write: \[ \begin{vmatrix}r \end{vmatrix} < 1 \] then its corresponding geometric series converges (gets closer and closer) towards the "ininite sum" \(S_{\infty}\).
This tutorial covers explains and illustrates the formula for the infinite sum as well as how and why it works.
When learning the formula for the sum of the first n terms of a geometric sequence, we had seen that given a geometric sequence, its geometric series is another sequence whose n-th term is equal to the sum of the first n terms of the sequence.
When we say that a geometric sequence has an infinite sum, a more rigorous way of saying this is that the sequence's corresponding geometric series converges towards a finite number, which we call the infinite sum and write \(S_{\infty}\).
Remember, the terms of the geometric series are defined as:
Using sigma notation (sum notation) and limits, we can say that the series converges towards \(S_{\infty}\) as follows: \[\lim_{n \to \infty} S_n = \lim_{n \to \infty} \sum_{k=1}^n u_k = S_{\infty}\]
Given a geometric sequence, if its common ratio is between -1 and 1: \[-1 < r < 1\] which we could also write: \[ \begin{vmatrix}r \end{vmatrix} < 1 \] then its corresponding geometric series converges (gets closer and closer) towards the "ininite sum" \(S_{\infty}\).
In the following tutorial we learn the formula for calculating the sum of the first n terms of a geometric sequence and learn how to use it with a worked example.
Given the sequence of numbers : \[486, \ 162, \ 54, \ 18, \ 6, \ \dots \]
A geometric sequence has a first term \(u_1 = 8\) and an infinite sum \(S_{\infty} = 20\).
Find this sequence's common ratio.
We know that this sequence has an infinite sum \(S_{\infty} = 20\), in other words we know that the sum of its terms converges towards \(20\).
Furthermore, we're given this sequences's first term \(u_1 = 8\). Consequently we can use the infinite sum formula to write: \[S_{\infty} = \frac{u_1}{1-r}\] Now replacing \(u_1\) by \(8\) and \(S_{\infty}\) by \(20\) we obtain an equation for the unknown common ratio \(r\): \[20 = \frac{8}{1-r}\] To find \(r\) we start by getting away from the denominator, which we do by multiplying both sides of this equation by \(\begin{pmatrix}1-r \end{pmatrix}\): \[20\begin{pmatrix}1-r \end{pmatrix} = 8\] Now that \(r\) is away from the numerator, we can solve the usual way: \[\begin{aligned} & 20 - 20r = 8 \\ & -20r = 8-20 \\ & -20r = -12 \\ & r = \frac{-12}{-20} \\ & r = \frac{-4 \times 3}{-4 \times 5} \\ & r = \frac{3}{5} \quad \begin{pmatrix}r = 0.6 \end{pmatrix} \end{aligned}\]
A geometric sequence is such that its third term is \(u_3 = 3.2\), its common ratio is such that \(r>0.6\) and it has an infinite sum equal to \(S_{\infty}=25\).
Find the values of this sequence's first term \(u_1\) and its common ratio \(r\).
In this example there are 2 unknowns to find, namely \(u_1\) and \(r\).
This suggests we need 2 distinct equations involving \(u_1\) and \(r\), which we can then solve simultaneously.
To obtain the 2 equations we use the 2 bits of information we're given. This is done as follows:
We can solve this equation graphically by looking for the values of x at which the curve \(y = 25x^3-25x^2+3.2\) cuts the x-axis.
We can see that there are 3 values of x at which that happens: \[x = -0.3123, \ x = 0.5123, \ \text{and} \ x = 0.8\] Since we were told that \(r > 0.6\) the value of \(r\) we're looking for must therefore be: \[r = 0.8\]
\(y = 25x^3-25x^2+3.2\) and its x-intercepts
Now that we know that \(r=0.8\) we can go back to (E2), which was \(u_1 = 25\begin{pmatrix}1-r\end{pmatrix}\), and replace \(r\) by \(0.8\) to find \(u_1\): \[\begin{aligned} u_1 & = 25\begin{pmatrix}1-r \end{pmatrix} \\ & = 25\begin{pmatrix} 1 - 0.8 \end{pmatrix} \\ & = 25 \begin{pmatrix}0.2 \end{pmatrix} \\ u_1 & = 5 \end{aligned}\]
Finally we can state our answers as:
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