Calc 2 Sum of Alternating Geometric Series

In summary, the conversation discusses a second order linear recurrence equation and its general solution, as well as determining the convergence of a series using this solution. It also mentions the possibility of rearranging the series under certain conditions.
  • #1
bigbob123
2
0
Homework Statement
Suppose that An (from n = 0 to inf.) = {1/1, 3/1, 3/4, 9/4, 9/16, 27/16, 27/64, 81/64...} where we start with 1 and then alternate between multiplying by 3 and 1/4. Find the sum of An from n = 0 to n = inf.
Relevant Equations
Sn = A0(1-r)/(1-r) iff |r| < 1
A0 = 1
A1 = 3

3(An-1) / 4(An-2) = An
 
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  • #2
You can show that [itex](A_n)_{n \geq 0}[/itex] satisfies a second order linear recurrence of the form [tex]
A_{n+2} + pA_{n+1} + qA_n = 0,[/tex] which has general solution [tex]
A_n = C\lambda_1^n + D \lambda_2^n[/tex] where [itex]C[/itex] and [itex]D[/itex] are constants determined by the values of [itex]a_0[/itex] and [itex]a_1[/itex] and [itex]\lambda_1[/itex] and [itex]\lambda_2[/itex] are the roots of [tex]
\lambda^2 + p\lambda + q = 0.
[/tex]

You then have an expression for [itex]A_n[/itex] in closed form and can proceed to determine whether or not [itex]\sum_{n=0}^\infty A_n[/itex] converges.
 
  • #3
If you look closely you'll notice that your series consists of two interlaced ordinary geometric series.
 
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  • #4
pasmith said:
You can show that [itex](A_n)_{n \geq 0}[/itex] satisfies a second order linear recurrence of the form [tex]
A_{n+2} + pA_{n+1} + qA_n = 0,[/tex] which has general solution [tex]
A_n = C\lambda_1^n + D \lambda_2^n[/tex] where [itex]C[/itex] and [itex]D[/itex] are constants determined by the values of [itex]a_0[/itex] and [itex]a_1[/itex] and [itex]\lambda_1[/itex] and [itex]\lambda_2[/itex] are the roots of [tex]
\lambda^2 + p\lambda + q = 0.
[/tex]

You then have an expression for [itex]A_n[/itex] in closed form and can proceed to determine whether or not [itex]\sum_{n=0}^\infty A_n[/itex] converges.
It seems like the problem isn't linear though- An = 3An-2 / 4An-2
 
  • #5
Dick said:
If you look closely you'll notice that your series consists of two interlaced ordinary geometric series.

Which can be rearranged under certain conditions, which you probably ought to first prove.
 

1. What is a sum of alternating geometric series?

A sum of alternating geometric series is a mathematical calculation that involves adding terms in a sequence where the signs alternate between positive and negative. It is represented by the formula S = a - ar + ar^2 - ar^3 + ... + (-1)^n ar^n, where a is the first term, r is the common ratio, and n is the number of terms.

2. How do I find the sum of an alternating geometric series?

To find the sum of an alternating geometric series, you can use the formula S = a / (1 - r), where a is the first term and r is the common ratio. You can also use the formula S = (a - ar^n) / (1 - r), where n is the number of terms. Alternatively, you can use the geometric series test to determine if the series converges or diverges, and then use the appropriate formula to find the sum.

3. What is the difference between a convergent and divergent alternating geometric series?

A convergent alternating geometric series is one where the sum of the terms approaches a finite value as the number of terms increases. In other words, the series has a limit. On the other hand, a divergent alternating geometric series is one where the sum of the terms does not approach a finite value, and instead, either increases or decreases without bound.

4. Can I use the alternating series test to determine if an alternating geometric series converges or diverges?

Yes, the alternating series test is a method for determining the convergence or divergence of an alternating series. It states that if the terms of an alternating series decrease in absolute value and approach zero, then the series converges. However, if the terms do not approach zero, the series diverges.

5. What are some real-life applications of alternating geometric series?

Alternating geometric series have many real-life applications, including finance, physics, and engineering. For example, they can be used to calculate interest rates on loans, determine the value of a stock portfolio, or predict the behavior of electrical circuits. They are also used in the study of oscillating systems, such as pendulums and springs, and in the analysis of alternating currents in electrical circuits.

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