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Series whose partial sums eventually only have a fixed number of terms after cancellation
In mathematics, a telescoping series is a series whose general term is of the form , i.e. the difference of two consecutive terms of a sequence .[1]
As a consequence the partial sums only consists of two terms of after cancellation.[2][3] The cancellation technique, with part of each term cancelling with part of the next term, is known as the method of differences.
An early statement of the formula for the sum or partial sums of a telescoping series can be found in a 1644 work by Evangelista Torricelli, De dimensione parabolae.[4]
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Telescoping Series
Telescoping Series , Finding the Sum, Example 1
How to Find the Sum of a Telescoping Series
Partial fraction decomposition to find sum of telescoping series
Telescoping Series
Transcription
In general
Telescoping sums are finite sums in which pairs of consecutive terms cancel each other, leaving only the initial and final terms.[5]
Let be a sequence of numbers. Then,
If
Telescoping products are finite products in which consecutive terms cancel denominator with numerator, leaving only the initial and final terms.
Let be a sequence of numbers. Then,
If
More examples
Many trigonometric functions also admit representation as a difference, which allows telescopic canceling between the consecutive terms.
where Hk is the kth harmonic number. All of the terms after 1/(k − 1) cancel.
Let k,m with km be positive integers. Then
An application in probability theory
In probability theory, a Poisson process is a stochastic process of which the simplest case involves "occurrences" at random times, the waiting time until the next occurrence having a memorylessexponential distribution, and the number of "occurrences" in any time interval having a Poisson distribution whose expected value is proportional to the length of the time interval. Let Xt be the number of "occurrences" before time t, and let Tx be the waiting time until the xth "occurrence". We seek the probability density function of the random variableTx. We use the probability mass function for the Poisson distribution, which tells us that
where λ is the average number of occurrences in any time interval of length 1. Observe that the event {Xt ≥ x} is the same as the event {Tx ≤ t}, and thus they have the same probability. Intuitively, if something occurs at least times before time , we have to wait at most for the occurrence. The density function we seek is therefore
The sum telescopes, leaving
Similar concepts
Telescoping product
A telescoping product is a finite product (or the partial product of an infinite product) that can be cancelled by method of quotients to be eventually only a finite number of factors.[6][7]