Finding sum of infinite series

Shinaolord
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Homework Statement


Recognize the series $$3-3^3/3!+3^5/5!-3^7/7!$$ is a taylor series evaluated at a particular value of x. Find the sum

Homework Equations



Sum of Infinite series = ##a/1-x##

The Attempt at a Solution


So, I can't figure out what i would us as the ratio (the thing you multiply the term by each time.) I got as far as
$$ \sum\limits_{n=0}^\infty (-1)^n \frac{(x^{2n}))}{2n!} $$ is the series for $$cos(x)$$ evaluated at $$ x=0$$, and the value we're looking at is $$a=3$$.

So, I tried the following
## T(x)= \frac{3}{(\frac{(1-3^2)}{n!})}##

but I'm totally stumped on how to find ##n##.
Any hints?
 
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So close...

##2n!## as denominator in the cosine series is hard to fix - is there a function that has ##(2n+1)!## as the denominator in that sort of series?
 
Cosine is an even function and so has only even powers in its power series. Sine is an odd function and so ...
 
Joffan said:
So close...

##2n!## as denominator in the cosine series is hard to fix - is there a function that has ##(2n+1)!## as the denominator in that sort of series?
Yes, there is, $$ Sin(x) = \sum\limits_{i=0}^\infty (-1)^i \frac{x^{2i+1}}{(2i+1)!}$$
centering at x=0, and evaluating at 3, we get
$$\sum\limits_{i=0}^\infty (-1)^i \frac{3^{2i+1}}{(2i+1)!}$$
is that right?
I'm not entirely sure how this helps...
maybe because $$sin(x) = cos(x\pm \pi/2)$$ ?
so we'd have
$$\sum\limits_{i=0}^\infty (-1)^i \frac{(3-\pi/2)^{2i+1}}{(2i+1)!}$$
?

EDIT: I get that one is even the other is odd, I'm sorry if this is a simple example, could i use the ratio test to find $$a$$?
 
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Shinaolord said:
Yes, there is, $$ Sin(x) = \sum\limits_{i=0}^\infty (-1)^i \frac{x^{2i+1}}{(2i+1)!}$$
centering at x=0, and evaluating at 3, we get
$$\sum\limits_{i=0}^\infty (-1)^i \frac{3^{2i+1}}{(2i+1)!}$$
is that right?
I'm not entirely sure how this helps...
maybe because $$sin(x) = cos(x\pm \pi/2)$$ ?
so we'd have
$$\sum\limits_{i=0}^\infty (-1)^i \frac{(3-\pi/2)^{2i+1}}{(2i+1)!}$$
?

EDIT: I get that one is even the other is odd, I'm sorry if this is a simple example, could i use the ratio test to find ##a##?

I don't get why you're working so hard. The question seems to be a simple pattern recognition one. You've already recognised it as the Maclaurin series (Taylor centered at zero) for ##\sin x##. So what is ##x## here?

I doubt you have to prove convergence because it is well known that the Maclaurin series for sine is convergent for all real arguments.
 
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evaluated at x=0, and the value we're looking at is a=3

Just a slight mix-up here. The series is evaluated at ##x = 3## and the series is centered at ##a = 0##.

The series ##\sum\limits_{n=0}^\infty (-1)^n \frac{3^{2n+1}}{(2n+1)!}## converges to ##sin(3)## because ##R = ∞##.

Why not try approximating the series by the ##n^{th}## partial sum ##s_n##? The larger ##n## is the better the approximation.

If you're looking for a certain precision in your approximation, consider placing a restriction on the precision. Suppose you wanted to estimate the sum precise to five decimal places. How large would ##n## have to be? Well:

##|error| = |R_n| = |s - s_n| < a_{n+1} ≤ 0.00001##

Thus,

$$a_{n+1} = \frac{3^{2n + 3}}{(2n + 3)!} ≤ 0.00001$$

The solution over the integers is ##n = 84##, thanks to wolfram. So you would need to approximate ##sin(3)## using ##s_{84}## to be accurate to 5 decimal places.
 
Thank you. That makes sense, I was just overthinking the problem.
 
Zondrina said:
If you're looking for a certain precision in your approximation, consider placing a restriction on the precision. Suppose you wanted to estimate the sum precise to five decimal places. How large would ##n## have to be? Well:

##|error| = |R_n| = |s - s_n| < a_{n+1} ≤ 0.00001##

Thus,

$$a_{n+1} = \frac{3^{2n + 3}}{(2n + 3)!} ≤ 0.00001$$

The solution over the integers is ##n = 84##, thanks to wolfram. So you would need to approximate ##sin(3)## using ##s_{84}## to be accurate to 5 decimal places.

##s_{10}## is accurate to 8 decimal places. As the ##|a_n|## are monotonic decreasing (by that point), and alternating in sign, the error ##|s - s_n|## is less than the absolute value of the last term, ##a_{10}≈-9.6 \times 10^{-9}##. (##s_{10}## is actually accurate to within the absolute value of ##a_{11}##, but that's gravy).

Perhaps Wolfram gave you ##8.4##, not ##84##?
 
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Joffan said:
##s_{10}## is accurate to 8 decimal places. As the ##|a_n|## are monotonic decreasing (by that point), and alternating in sign, the error ##|s - s_n|## is less than the absolute value of the last term, ##a_{10}≈-9.6 \times 10^{-9}##. (##s_{10}## is actually accurate to within the absolute value of ##a_{11}##, but that's gravy).

Perhaps Wolfram gave you ##8.4##, not ##84##?

Wolfram is not all knowing and I'm not trusting it for the sake of this discussion. ##8.4## is definitely not a possibility because ##n \in \mathbb{N}##. You shouldn't be getting negative numbers like ##-9.6 \times 10^{-9}## for a positive sequence btw.

The series converged by the A.S.T to begin with, i.e the sum ##\sum_{n=0}^{∞} (-1)^n a_n = \sum_{n=0}^{∞} (-1)^n \frac{3^{2n+1}}{(2n+1)!}##.

##a_n## is monotonically decreasing for ##n≥N=3## and bounded below (##lim(a_n) = 0##), so it converges. In fact, ##\sum |(-1)^n a_n|## converges, so the series converges absolutely (this could be seen as a consequence of ##|x-a| < R = ∞## originally).

The problem is the terms of the sequence are a bit nit picky for the first few values of ##n## apparently. I decided to plug numbers in manually and found that the sequence was in fact decreasing after ##n = 3##. At ##n=7## the terms of the series dipped below the precision required, so you could neglect them and say that ##s_7## is a good enough approximation for 5 decimal places.
 
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