Inmathematics, atelescoping series is aseries whose general term is of the form, i.e. the difference of two consecutive terms of asequence. As a consequence the partial sums of the series only consists of two terms of after cancellation.[1][2]
The cancellation technique, with part of each term cancelling with part of the next term, is known as themethod 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 byEvangelista Torricelli,De dimensione parabolae.[3]
A telescoping series of powers. Note in thesummation sign,, the indexn goes from 1 tom. There is no relationship betweenn andm beyond the fact that both arenatural numbers.
Telescopingsums are finite sums in which pairs of consecutive terms partly cancel each other, leaving only parts of the initial and final terms.[1][4] Let be the elements of a sequence of numbers. ThenIf converges to a limit, the telescopingseries gives:
Every series is a telescoping series of its own partial sums.[5]
The product of ageometric series with initial term and common ratio by the factor yields a telescoping sum, which allows for a direct calculation of its limit:[6]when so when
Letk be a positive integer. Then whereHk is thekthharmonic number.
Letk andm withkm be positive integers. Then where denotes thefactorial operation.
Manytrigonometric functions also admit representation as differences, which may reveal telescopic canceling between the consecutive terms. Using theangle addition identity for a product of sines, which does not converge as
Inprobability theory, aPoisson process is a stochastic process of which the simplest case involves "occurrences" at random times, the waiting time until the next occurrence having amemorylessexponential distribution, and the number of "occurrences" in any time interval having aPoisson distribution whose expected value is proportional to the length of the time interval. LetXt be the number of "occurrences" before timet, and letTx be the waiting time until thexth "occurrence". We seek theprobability density function of therandom variableTx. We use theprobability 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
Atelescoping product is a finiteproduct (or the partial product of an infinite product) that can be canceled by the method of quotients to be eventually only a finite number of factors.[7][8] It is the 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 converges to 1, the resulting product gives:
^Ablowitz, Mark J.; Fokas, Athanassios S. (2003).Complex Variables: Introduction and Applications (2nd ed.). Cambridge University Press. p. 110.ISBN978-0-521-53429-1.
^Apostol, Tom (1967) [1961].Calculus, Volume 1 (Second ed.). John Wiley & Sons. p. 388.