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Home > Asymptotic analysis


 

In mathematics and applications, particularly the analysis of algorithms, asymptotic analysis is a method of classifying limiting behaviour, by concentrating on some trend. It is sometimes expressed in the language of equivalence relations. For example, given complex-valued functions f and g of a natural number variable n, one can write

to express the concept that

.

This defines an equivalence relation; and the equivalence class of f consists of all functions h with similar behaviour to f, in the limit.

Asymptotic notation has been developed to provide a convenient language for the handling of statements about order of growth. It is also called Landau notation, since it became popular first in research in analytic number theory, from about 1900 onwards, introduced by Edmund Landau (originated though by Paul Bachmann). See also Big O notation, for a treatment more from the point of view of analysis of algorithms. The asymptotic point of view is basic in computer science, where the question is typically how to describe the resource implication of scaling-up the size of a computational problem, beyond the 'toy' level.

An asymptotic expansion of a function f(x) is in practice an expression of that function in terms of a infinite series, the partial sums of which do not (necessarily have to) converge; but such that taking any initial partial sum provides an asymptotic formula for f. The idea is that successive terms provide a more and more accurate description of the order of growth of f. An example is Stirling's approximation.

In symbols, it means we have

but also

and

for each fixed k, while some limit is taken.

In the case that an asymptotic expansion does not converge, for any particular value of the argument there will be a particular partial sum which provides the best approximation and adding additional terms will decrease the accuracy. However, this optimal partial sum will generally have more terms for larger values of the argument.

Asymptotic expansions typically arise in the approximation of certain integrals ( saddle-point method, method of steepest descentIn mathematics, the saddle-point method or method of steepest descent is a method used to approximate integrals of the form : where f ''x is some function, and N is a large number. General Theory The key idea in this method is that as N grows very large,) or in the approximation of probability distributions ( Edgeworth seriesThe Edgeworth series or Gram-Charlier A series named in honor of Francis Ysidro Edgeworth, are series that approximate a probability distribution in terms of its cumulants. Gram-Charlier A series The key idea of these expansions is to write the characteri).

Further reading

Mathematical_analysisAnalysis is that branch of mathematics which deals with the real numbers and complex numbers and their functions. It has its beginnings in the rigorous formulation of calculus and studies concepts such as continuity, integration and differentiability in g *In mathematics and applications, particularly the analysis of algorithms, asymptotic analysis is a method of classifying limiting behaviour, by concentrating on some trend''. It is sometimes expressed in the language of equivalence relations. For example,

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