By Boyd J.P.

**Read or Download Asymptotic, superasymptotic and hyperasymptotic series PDF**

**Best analysis books**

**Multidisciplinary Methods for Analysis Optimization and Control of Complex Systems**

This publication contains lecture notes of a summer season college named after the past due Jacques Louis Lions. The summer time institution was once designed to alert either Academia and to the expanding function of multidisciplinary tools and instruments for the layout of complicated items in a number of parts of socio-economic curiosity.

- Statistical Analysis and Modelling of Spatial Point Patterns (Statistics in Practice)
- Data Analysis and Information Systems: Statistical and Conceptual Approaches Proceedings of the 19th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Basel, March 8–10, 1995
- Mathematik für das erste Semester: Analysis und Lineare Algebra für Studierende der Ingenieurwissenschaften (German Edition)
- Asymptotic Analysis, 1st Edition
- Analyse fonctionnelle : Exercices corrigés

**Extra resources for Asymptotic, superasymptotic and hyperasymptotic series**

**Sample text**

The term that changes dramatically in the neighborhood of the Stokes line is exponentially small compared to the sum of the asymptotic series. However, the smoothing does provide deep insights into the interlocking systems of caverns — interlocking systems of expansions about different saddle points and branch points — that lie beneath the surface of asymptotic approximations. The numerical smoothing of the discontinuity along a Stokes lines is based on the following ideas which will be explained below: 1.

3. Asymptotically solve the “inner” problem as | y |→ ∞, that is, compute the “outer limit of the inner solution”. 4. Sum the divergent outer limit of the inner problem by Borel summation or otherwise determine the connection formula, that is, the magnitude and phase of the discontinuity along the Stokes line radiating from the critical point to the real x-axis 5. 52 53 Exponential Asymptotics Real y-axis arg(y)=0 Im(t) Inner Matching Re(t) arg(y)= - π/2 arg(y)= -π Outer arg(y)= -(1/4) π Re(t) Im(t) Im(t) Real x-axis arg(y)= -(3/4) π Re(t) arg(y)= -(3/4) π Figure 12.

Thus, the error integral EN ( ) for one function, S( ), provides a hyperasymptotic approximation to an entire class of functions, namely all those of the form of Eq. (54) for which the convergence-limiting singularity of Φ(z) is a simple pole at z = −1. It might seem as if we would have to repeat the analysis for each different species of singularity — one family of error integrals when the singularity is a simple pole, another when the dominant singularity of Φ is a logarithm and so on. In reality, Dingle shows that for a very wide range of asymptotic expansions, both from integral representations, the WKB method, and so on, the coefficients are asymptotically of the form aj ∼ q(−1)j Γ(j + 1 − β) ρj+1−β (62) for some constants q, ρ and β.