Telescoping series

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 . As a consequence the partial sums only consists of two terms of after cancellation. The cancellation technique, with part of each term cancelling with part of the next term, is known as the method of differences. For example, the series (the series of reciprocals of pronic numbers) simplifies as 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. Telescoping sums are finite sums in which pairs of consecutive terms cancel each other, leaving only the initial and final terms. 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 Many trigonometric functions also admit representation as a difference, which allows telescopic canceling between the consecutive terms. Some sums of the form where f and g are polynomial functions whose quotient may be broken up into partial fractions, will fail to admit summation by this method. In particular, one has The problem is that the terms do not cancel. Let k be a positive integer. Then where Hk is the kth harmonic number. All of the terms after 1/(k − 1) cancel. Let k,m with k m be positive integers. Then 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 memoryless exponential 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 variable Tx.