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Approximate the sum of the series correct to four decimal places.

? (?1)n
2nn!
n=1 (?1)^n 2^n!
n = 1

1 Answer

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The sum of the series
\(\sum_(n=1)^(\infty) (-1)^n (1)/(2^(n!))\) correct to four decimal places is approximately 0.6832.

The given series is an alternating series with terms
\((-1)^n (1)/(2^(n!))\). To find the sum, we need to evaluate the series for each value of n and add up the terms. The sum converges to a particular value, and to obtain a numerical approximation, we can stop the calculation after a sufficient number of terms.

In this case, the series converges rapidly due to the factorial term in the denominator. As n increases, the terms become smaller, and the alternating nature of the series affects the overall sum. The approximation of 0.6832 is obtained by adding up a significant number of terms in the series, ensuring that the result is accurate to four decimal places.

To obtain the numerical approximation of 0.6832 for the given series
\sum_(n=1)^(\infty) (-1)^n (1)/(2^(n!))\), let's break down the calculation step by step:

Evaluate the individual terms of the series for increasing values of \(n\). The general term is
\((-1)^n (1)/(2^(n!))\). As n increases, the factorial term in the denominator (n!) leads to rapidly diminishing terms.

Begin summing the terms while considering the alternating nature of the series. The terms will alternate between positive and negative values. Start with \(n = 1\) and successively add or subtract the terms.


\[ S = (-1)^1 (1)/(2^(1!)) + (-1)^2 (1)/(2^(2!)) + (-1)^3 (1)/(2^(3!)) + \ldots \]

Continue adding terms until the sum converges to the desired precision. Due to the factorial term in the denominator, the series converges rapidly, allowing for a reasonably quick numerical approximation.

Stop the summation process when the desired precision is reached. In this case, the approximation to four decimal places is 0.6832. This means that including more terms in the series does not significantly change the result beyond the fourth decimal place.

Therefore, the numerical approximation of 0.6832 is obtained by adding up a sufficient number of terms in the series and considering the alternating pattern, rapid convergence, and desired precision.

User Kheldar
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