asymptotic estimate


\PMlinkescapephrase

characteristic functionMathworldPlanetmathPlanetmathPlanetmath

An asymptotic estimate is an that involves the use of O, o, or ∼. These are all defined in the entry Landau notationMathworldPlanetmathPlanetmath. Examples of asymptotic are:

∑n≤xμ2⁢(n) =6π2⁢x+O⁢(x) (see convolution method for more details)
π⁢(x) ∼xlog⁡x (see prime number theoremMathworldPlanetmath for more details)

Unless otherwise specified, asymptotic are typically valid for x→∞. An example of an asymptotic that is different from those above in this aspect is

cos⁡x=1-x22+O⁢(x4)⁢ for ⁢|x|<1.

Note that the above would be undesirable for x→∞, as the would be larger than the . Such is not the case for |x|<1, though.

Tools that are useful for obtaining asymptotic include:

If A⊆ℕ, then an asymptotic for ∑n≤xχA⁢(x), where χA denotes the characteristic function (http://planetmath.org/CharacteristicFunction) of A, enables one to determine the asymptotic density of A using the

limx→∞⁡1x⁢∑n≤xχA⁢(x)

provided the limit exists. The upper asymptotic density of A and the lower asymptotic density of A can be computed in a manner using lim sup and lim inf, respectively. (See asymptotic density (http://planetmath.org/AsymptoticDensity) for more details.)

For example, μ2 is the characteristic function of the squarefreeMathworldPlanetmath natural numbersMathworldPlanetmath. Using the asymptotic above yields the asymptotic density of the squarefree natural numbers:

limx→∞⁡1x⁢∑n≤xμ2⁢(n)=limx→∞⁡1x⁢(6π2⁢x+O⁢(x))=limx→∞⁡6π2+O⁢(xx)=6π2

Title asymptotic estimate
Canonical name AsymptoticEstimate
Date of creation 2013-03-22 16:00:01
Last modified on 2013-03-22 16:00:01
Owner Wkbj79 (1863)
Last modified by Wkbj79 (1863)
Numerical id 13
Author Wkbj79 (1863)
Entry type Definition
Classification msc 11N37
Related topic AsymptoticEstimatesForRealValuedNonnegativeMultiplicativeFunctions
Related topic DisplaystyleYOmeganOleftFracxlogXy12YRightFor1LeY2
Related topic DisplaystyleXlog2xOleftsum_nLeX2OmeganRight
Related topic DisplaystyleSum_nLeXYomeganO_yxlogXy1ForYGe0