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Taylor's theorem is named after the mathematician Brook Taylor, who stated a version of it in 1715, [2] although an earlier version of the result was already mentioned in 1671 by James Gregory. [3] Taylor's theorem is taught in introductory-level calculus courses and is one of the central elementary tools in mathematical analysis.
Stein's method is a general method in probability theory to obtain bounds on the distance between two probability distributions with respect to a probability metric.It was introduced by Charles Stein, who first published it in 1972, [1] to obtain a bound between the distribution of a sum of -dependent sequence of random variables and a standard normal distribution in the Kolmogorov (uniform ...
Expand the cosh term in a Taylor series. This gives the Poisson-weighted mixture representation of the density, still for k = 1. The indices on the chi-squared random variables in the series above are 1 + 2i in this case. Finally, for the general case.
It follows from the formula that r is the quotient of two polynomials of degree s if the method has s stages. Explicit methods have a strictly lower triangular matrix A , which implies that det( I − zA ) = 1 and that the stability function is a polynomial.
Mathematical models can take many forms, including dynamical systems, statistical models, differential equations, or game theoretic models.These and other types of models can overlap, with a given model involving a variety of abstract structures.
In 1706, John Machin used Gregory's series (the Taylor series for arctangent) and the identity = to calculate 100 digits of π (see § Machin-like formula below). [ 30 ] [ 31 ] In 1719, Thomas de Lagny used a similar identity to calculate 127 digits (of which 112 were correct).
Boltzmann's equation—carved on his gravestone. [1]In statistical mechanics, Boltzmann's equation (also known as the Boltzmann–Planck equation) is a probability equation relating the entropy, also written as , of an ideal gas to the multiplicity (commonly denoted as or ), the number of real microstates corresponding to the gas's macrostate:
Although the convergence of x n + 1 − x n in this case is not very rapid, it can be proved from the iteration formula. This example highlights the possibility that a stopping criterion for Newton's method based only on the smallness of x n + 1 − x n and f ( x n ) might falsely identify a root.