Optimal reconstruction of functions from their truncated power series at a point

1 hour 2 mins,  115.21 MB,  MP3  44100 Hz,  253.71 kbits/sec
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Description: Costin, O
Thursday 1st April 2021 - 16:00 to 17:00
 
Created: 2021-04-06 09:03
Collection: Applicable resurgent asymptotics: towards a universal theory
Publisher: Isaac Newton Institute
Copyright: Costin, O
Language: eng (English)
Distribution: World     (downloadable)
Explicit content: No
Aspect Ratio: 16:9
Screencast: No
Bumper: UCS Default
Trailer: UCS Default
 
Abstract: I will speak about the question of the mathematically
optimal reconstruction of a function from a finite number of terms of its power
series at a point, and on aditional data such as: as domain of analyticity,
bounds or others.



Aside from its intrinsic mathematical interest, this
question is important in a variety of applications in mathematics and physics
such as the practical computation of the Painleve transcendents, which I will
use as an example, and the reconstruction of functions from resurgent
perturbative series in models of quantum field theory and string theory. Given
a class of functions which have a common Riemann surface and a common type of bounds
on it, we show that the optimal procedure stems from the uniformization
theorem. A priori Riemann surface information and bounds exist for the Borel
transform of asymptotic expansions in wide classes of mathematical problems
such as meromorphic systems of linear or nonlinear ODEs, classes of PDEs and
many others, known, by mathematical
theorems, to be resurgent. I will also discuss some (apparently) new
uniformization methods and maps. Explicit uniformization in Borel plane is
possible for all linear or nonlinear second order meromorphic ODEs.



This optimal procedure is dramatically superior to the
existing (generally ad-hoc) ones, both theoretically and in their effective
numerical application, which I will illustrate. The comparison with Pade approximants
is especially interesting.



When more specific information exists, such as the nature
of the singularities of the functions of interest, we found methods based on
convolution operators to eliminate these singularities. The type of
singularities is known for resurgent functions coming from many problems in
analysis. With this addition, the accuracy is improved substantially with
respect to the optimal accuracy which would be possible in full generality.



Work in collaboration with G. Dunne, U. Conn.
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