Posts tagged sequences
Finding the limit of a convergent sequence

Remember that a sequence is convergent if its limit exists as n approaches infinity. So it makes sense that once we know that a sequence is convergent, we should be able to evaluate the limit as n approaches infinity and get a real-number answer. The way that we simplify and evaluate the limit will depend on the kind of functions we have in our sequence (trigonometric, exponential, etc.), but we know that the limit as n goes to infinity exists.

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Determining whether a series is increasing, decreasing, or not monotonic

Sequences are always either monotonic or not monotonic. If a sequence is monotonic, it means that it’s always increasing or always decreasing. If a sequence is sometimes increasing and sometimes decreasing and therefore doesn’t have a consistent direction, it means that the sequence is not monotonic. In other words, a non-monotonic sequence is increasing for parts of the sequence and decreasing for others.

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How to find the sum of a sequence of partial sums

A normal series is given by a_n, where a_n is the sequence whose n values increase by increments of 1. On the other hand, a partial sums sequence is called s_n, and its n values increase by additive increments. This means that the first term in a partial sums sequence is the n=1 term, the second term is the n=1 term plus the n=2 term, the third term is (n=1)+(n=2)+(n=3), etc.

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How to find the sum of a telescoping series

Telescoping series are series in which all but the first and last terms cancel out. If you think about the way that a long telescope collapses on itself, you can better understand how the middle of a telescoping series cancels itself. To determine whether a series is telescoping, we’ll need to calculate at least the first few terms to see whether the middle terms start canceling with each other.

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Using the p-series test to determine convergence

We can use the p-series test for convergence to say whether or not a_n will converge. The p-series test says that a_n will converge when p>1 but that a_n will diverge when p≤1. The key is to make sure that the given series matches the format above for a p-series, and then to look at the value of p to determine convergence.

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How to use the nth term test for divergence

When the terms of a series decrease toward 0, we say that the series is converging. Otherwise, the series is diverging. The nth term test is inspired by this idea, and we can use it to show that a series is diverging. Ironically, even though the nth term test is one of the convergence tests that we learn when we study sequences and series, it can only test for divergence, it can never confirm convergence.

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Using the ratio test to determine whether or not a series converges

The ratio test for convergence lets us determine the convergence or divergence of a series a_n using a limit, L. Once we find a value for L, the ratio test tells us that the series converges absolutely if L<1, and diverges if L>1 or if L is infinite. The test is inconclusive if L=1. The ratio test is used most often when our series includes a factorial or something raised to the nth power.

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Representing repeating decimals as a ratio of integers using a geometric series

We can use the formula for the sum of a geometric series to quickly and accurately convert a repeating decimal into a ratio of integers, in other words, into a fraction with whole numbers in the numerator and denominator.

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Taylor's inequality for the remainder of a series

This theorem looks elaborate, but it’s nothing more than a tool to find the remainder of a series. For example, oftentimes we’re asked to find the nth-degree Taylor polynomial that represents a function f(x). The sum of the terms after the nth term that aren’t included in the Taylor polynomial is the remainder. We can use Taylor’s inequality to find that remainder and say whether or not the nth-degree polynomial is a good approximation of the function’s actual value.

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How to build Taylor polynomials

Taylor series let us find a series representation for any function. In order to create a Taylor series representation for a function, we’ll need ‘a’, the value about which the function is defined and ‘n’, the degree to which we want to evaluate the function. Both of these are usually given in the problem. With a value for ‘a’ and ‘n’, we can build the chart below.

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How to use the alternating series test to determine convergence

The alternating series test for convergence lets us say whether an alternating series is converging or diverging. When we use the alternating series test, we need to make sure that we separate the series a_n from the (-1)^n part that makes it alternating.

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When monotonic sequences are bounded

Only monotonic sequences can be bounded, because bounded sequences must be either increasing or decreasing, and monotonic sequences are sequences that are always increasing or always decreasing.

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Using division to find the power series representation

Sometimes we’ll want to use polynomial long division to simplify a fraction, but either the numerator and/or denominator isn’t a polynomial. In this case, we may be able to replace the non-polynomial with its power series expansion, which will be a polynomial. The simplest way to do this for the non-polynomial is to find a similar, known power series expansion and then modify it to match the non-polynomial function.

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How to find the formula for the general term of a sequence

The general term of a sequence an is a term that can represent every other term in the sequence. It relates each term in the sequence to its place in the sequence. To find the general term, a_n, we need to relate the pattern in the sequence of terms to the corresponding value of n.

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Convergence of a telescoping series

Telescoping series are series in which all but the first and last terms cancel out. If you think about the way that a long telescope collapses on itself, you can better understand how the middle of a telescoping series cancels itself.

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Finding the radius and interval of convergence of a Maclaurin series

Sometimes we’ll be asked for the radius and interval of convergence of a Maclaurin series. In order to find these things, we’ll first have to find a power series representation for the Maclaurin series, which we can do by hand, or using a table of common Maclaurin series.

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Integral test for convergence or divergence

The integral test for convergence is only valid for series that are 1) Positive: all of the terms in the series are positive, 2) Decreasing: every term is less than the one before it, a_(n-1)> a_n, and 3) Continuous: the series is defined everywhere in its domain. The integral test tells us that, if the integral converges, then the series also converges. But if the integral diverges, then the series also diverges.

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Determining absolute vs conditional convergence using the root test

The convergence or divergence of the series depends on the value of L. The series converges absolutely if L<1, diverges if L>1 or if L is infinite, and is inconclusive if L=1. The root test is used most often when our series includes something raised to the nth power.

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Determining convergence (or divergence) of a sequence

If we say that a sequence converges, it means that the limit of the sequence exists as n tends toward infinity. If the limit of the sequence as doesn’t exist, we say that the sequence diverges.

A sequence always either converges or diverges, there is no other option. This doesn’t mean we’ll always be able to tell whether the sequence converges or diverges, sometimes it can be very difficult for us to determine convergence or divergence.

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The root test for convergence

The root test is used most often when the series includes something raised to the nth power.The convergence or divergence of the series depends on the value of L. The series converges absolutely if L<1, diverges if L>1 (or L is infinite), and the root test is inconclusive if L=1.

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