Use the techniques of geometric series

In summary, the techniques of geometric series such as telescoping series, p-series, and n-th term, can be used to evaluate series. In addition, the divergence test, integral test, comparison test, limit comparison test, ratio test, root test, absolute convergence, and alternating series test can also be used to determine convergence or divergence. The ratio test is recommended for evaluating the given series.
  • #1
karush
Gold Member
MHB
3,269
5
$\tiny{242.WS10.a}$
\begin{align*}
&\textsf{use the techniques of geometric series} \\
&-\textsf {telescoping series, p-series, n-th term } \\
&-\textsf{divergence test, integral test, comparison test,} \\
&-\textsf{limit comparison test,ratio test, root test, } \\
&-\textsf {absolute convergence, alternating series test}
\end{align*}\begin{align*}
\displaystyle
S_n&=\sum_{n=1}^{\infty} \frac{7^n}{n!}\\
&=
\end{align*}
$\textsf{not sure what test to use on this, was thinking ratio test?}$
🎃
 
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  • #2
If we are to simply evaluate the given series, consider the following Maclaurin series:

\(\displaystyle e^x=\sum_{k=0}^{\infty}\frac{x^k}{k!}\)

Can you proceed?
 
  • #3
\begin{align*}
\displaystyle
S_n&=\sum_{n=0}^{\infty} \frac{7^n}{n!}\\
e^7 &=1+7+\frac{7^2}{2!}
+\frac{7^3}{3!}+\frac{7^4}{4!}+\cdots \\
e^7 &=1+7+\frac{49}{2}+\frac{343}{6}+\frac{2401}{24}+\cdots
\end{align*}
$\textsf{however this problem was given with }$ $n=1$
🎃
 
  • #4
karush said:
\begin{align*}
\displaystyle
S_n&=\sum_{n=0}^{\infty} \frac{7^n}{n!}\\
e^7 &=1+7+\frac{7^2}{2!}
+\frac{7^3}{3!}+\frac{7^4}{4!}+\cdots \\
e^7 &=1+7+\frac{49}{2}+\frac{343}{6}+\frac{2401}{24}+\cdots
\end{align*}
$\textsf{however this problem was given with }$ $n=1$
🎃

So, then I would write:

\(\displaystyle e^x-1=\sum_{k=1}^{\infty}\frac{x^k}{k!}\) ;)
 
  • #5
karush said:
$\tiny{242.WS10.a}$
\begin{align*}
&\textsf{use the techniques of geometric series} \\
&-\textsf {telescoping series, p-series, n-th term } \\
&-\textsf{divergence test, integral test, comparison test,} \\
&-\textsf{limit comparison test,ratio test, root test, } \\
&-\textsf {absolute convergence, alternating series test}
\end{align*}\begin{align*}
\displaystyle
S_n&=\sum_{n=1}^{\infty} \frac{7^n}{n!}\\
&=
\end{align*}
$\textsf{not sure what test to use on this, was thinking ratio test?}$
🎃

The ratio test should work fine :)
 

FAQ: Use the techniques of geometric series

What is a geometric series?

A geometric series is a sequence of numbers where each term is found by multiplying the previous term by a constant called the common ratio. The general form of a geometric series is a + ar + ar² + ar³ + ..., where "a" is the first term and "r" is the common ratio.

How do you find the sum of a geometric series?

The sum of a geometric series can be found using the formula S = a(1-rⁿ)/(1-r), where "a" is the first term, "r" is the common ratio, and "n" is the number of terms in the series. Alternatively, you can also use the formula S = (a(1-rⁿ))/(1-r) - 1, which is derived from the previous formula.

What is the common ratio in a geometric series?

The common ratio in a geometric series is the constant by which each term is multiplied to get the next term. It is typically denoted by the letter "r". For example, in the series 2 + 6 + 18 + 54 + ..., the common ratio is 3 because each term is obtained by multiplying the previous term by 3.

How does a geometric series differ from an arithmetic series?

A geometric series differs from an arithmetic series in that the terms in a geometric series are obtained by multiplying the previous term by a constant, while the terms in an arithmetic series are obtained by adding a constant to the previous term. Additionally, the terms in a geometric series may increase or decrease at a faster rate compared to an arithmetic series.

What are the applications of geometric series in real life?

Geometric series have various applications in real life, including compound interest calculations, population growth and decay, and computer algorithms. They are also used in physics, engineering, and other fields to model exponential growth and decay phenomena.

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