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Find a positive integer \(M\) such that \(n^{10} \cdot 0.99^{n}<0.995^{n}\) for al \(n \geq M\). Prove that the series \(\sum_{n=1}^{\infty} n^{10} \cdot 0.99^{n}\) is convergent.

Short Answer

Expert verified
\(M = 3000\) works, and the series converges.

Step by step solution

01

Understand the inequality

We are given the inequality \(n^{10} \cdot 0.99^n < 0.995^n\) and asked to find a positive integer \(M\) such that this inequality holds for all \(n \geq M\). This means we want to find the point \(M\) beyond which the term on the left-hand side is smaller than the term on the right-hand side.
02

Transition to a comparison test

For large values of \(n\), \(0.99^n\) decreases faster than any polynomial \(n^{10}\) grows. To prove convergence beyond a certain point, we can compare \(n^{10} \cdot 0.99^n\) to a geometric series with common ratio less than 1.
03

Simplifying the inequality

Consider the inequality: \(n^{10} \cdot 0.99^n < 0.995^n\). Rewrite it as \(n^{10} < \left(\frac{0.995}{0.99}\right)^n\). Evaluate the ratio: \(\frac{0.995}{0.99} \approx 1.00505\). For large \(n\), \(\left(1.00505\right)^n\) grows faster than any polynomial power \(n^{10}\). We thus seek \(M\) so that \(M^{10} < (1.00505)^M\).
04

Estimating \(M\)

Estimate by trial or by using logarithms. Solve \(\log{M^{10}} < M \cdot \log{1.00505}\). This simplifies to \(10 \log{M} < M \cdot \log{1.00505}\). You will achieve this by trying different values. For example, \(M = 3000\) satisfies the condition.
05

Convergence of the series

To show that \(\sum_{n=1}^{\infty} n^{10} \cdot 0.99^n\) converges, note that for \(n \geq M\), terms are bounded by a convergent geometric series \(0.995^n\). Therefore, the series \(\sum_{n=1}^{\infty} n^{10} \cdot 0.99^n\) converges by the Comparison Test.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Inequality Solving
Inequalities are mathematical expressions that show the relationship between two values, indicating that one is larger or smaller than the other. Solving inequalities often involves finding the range of values that satisfy the inequality condition. In this exercise, we are tasked with finding a positive integer \( M \) such that for all \( n \geq M \), the inequality \( n^{10} \cdot 0.99^n < 0.995^n \) holds. To tackle this, identify where the left-hand side is less than the right-hand side. Initially, it may not be obvious. However, by analyzing how the terms behave as \( n \) increases, it becomes clearer that \( 0.99^n \) decreases much faster than \( n^{10} \) grows. This is the key observation that guides us in finding an \( M \). A reliable method to solve such inequalities is by reformulating them using logarithms or through suitable approximations. For example, transformation of the given inequality into logarithmic terms helps in estimating the value of \( M \) accurately. You seek a point where the power of \( n \) in the polynomial \( n^{10} \) becomes negligible compared to the exponential decay of \( 0.99^n \). This highlights the essential skill of comparing rates of growth in inequalities.
Geometric Series
A geometric series is a sequence of numbers where each term is a fixed multiple (called the common ratio) of the previous term. The formula for the sum of an infinite geometric series is given as \( S = \frac{a}{1 - r} \), where \( a \) is the first term and \( r \) is the common ratio. For the series to converge, the common ratio \( r \) must satisfy \(|r| < 1\). In our exercise, we compare the series \( \sum_{n=1}^{\infty} n^{10} \cdot 0.99^n \) to a geometric series \( \sum_{n=1}^{\infty} 0.995^n \), which is known to converge due to its common ratio \( 0.995 < 1 \). Geometric series are straightforward to understand because the ratio between successive terms remains constant. This property makes it easy to assess convergence. If a more complicated series is bounded by a geometric series with a common ratio less than 1, as is done in our exercise, it also converges. Understanding geometric series and their convergence is pivotal because they provide a baseline against which more complex series can be compared, utilizing their well-known behavior to make conclusions about other series.
Comparison Test
The Comparison Test is a method used to determine the convergence or divergence of an infinite series by comparing it to another series with known behavior. This test is powerful because it leverages our understanding of simpler series, like geometric or p-series, to draw conclusions about more complicated series.In this problem, we apply the Comparison Test by comparing \( \sum_{n=1}^{\infty} n^{10} \cdot 0.99^n \) with the geometric series \( \sum_{n=1}^{\infty} 0.995^n \). We already know that \( 0.995^n \) decreases faster than \( n^{10} \cdot 0.99^n \) grows for sufficiently large \( n \) (specifically for \( n \geq M \)). Since the geometric series \( \sum 0.995^n \) converges, the Comparison Test tells us that our given series must also converge because its terms become smaller than those of the convergent series.The ability to use the Comparison Test effectively requires a strong grasp on the rate at which different types of functions approach infinity or zero. Recognizing when a series can be compared successfully, and correctly setting the bounds, is essential for using this test. It is a handy tool in calculus for analyzing the convergence of series beyond just those with geometric or arithmetic terms.

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Most popular questions from this chapter

If \(f(x)=\sum_{n=0}^{\infty} a_{n} x^{n}\) and \(g(x)=\sum_{n=0}^{\infty} b_{n} x^{n}\) converge on \((-R, R),\) then we may formally multiply the series as though they were polynomials. That is, if \(h(x)=f(x) g(x),\) then $$ h(x)=\sum_{n=0}^{\infty}\left(\sum_{k=0}^{n} a_{k} b_{n-k}\right) x^{n} $$ The product series, which is called the Cauchy product, also converges on \((-R, R) .\) Exercises \(59-62\) concern the Cauchy product. The secant function has a known power series expansion that begins $$ \sec (x)=1+\frac{1}{2} x^{2}+\frac{5}{24} x^{4}+\frac{61}{720} x^{6} \ldots $$ The sine function has a known power series expansion that begins $$ \sin (x)=x-\frac{x^{3}}{3 !}+\frac{x^{5}}{5 !}-\frac{x^{7}}{7 !} \ldots $$ The tangent function has a known power series expansion that begins $$ \tan (x)=x+\frac{1}{3} x^{3}+\frac{2}{15} x^{5}+\frac{17}{315} x^{7}+\cdots $$ Verify the Cauchy product formula for \(\tan (x)=\sin (x)\) \(\sec (x)\) up to the \(x^{7}\) term.

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Consider the initial value problem $$ \frac{d y}{d x}=2-x-y, \quad y(0)=1 $$ \(\begin{array}{llll}\text { a. Calculate the power series } & \text { expansion }\end{array}\) \(y(x)=\sum_{n=0}^{\infty} a_{n} x^{n}\) of the solution up to the \(x^{7}\) term. b. Using the coefficients you have calculated, plot \(S_{3}(x)=\sum_{n=0}^{3} a_{n} x^{n}\) in the viewing rectangle \([-2,2] \times\) [-10,1.7] c. The exact solution to the initial value problem is \(y(x)=3-x-2 e^{-x},\) as can be determined using the methods of Section 7.7 (in Chapter 7 ). Add the plot of the exact solution to the viewing window. From the two plots, we see that the approximation is fairly accurate for \(-1 \leq x \leq 1\), but the accuracy decreases outside this subinterval. d. To see the improvement in accuracy that results from using more terms in a partial sum, replace the graph of \(S_{3}(x)\) with that of \(S_{7}(x)\)

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