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Iterative Borel Summation with Self-Similar Iterated Roots
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Borel summation is applied iteratively in conjunction with self-similar iterated roots. In general form, the iterative Borel summation is presented in the form of a multi-dimensional integral. It can be developed only numerically and is rarely used. Such a technique is developed in the current paper analytically and is shown to be more powerful than the original Borel summation. The self-similar nature of roots and their asymptotic scale invariance allow us to find critical indices and amplitudes directly and explicitly. The locations of poles remain the same with the uncontrolled self-similar Borel summation. The number of steps employed in the course of iterations is used as a continuous control parameter. To introduce control into the discrete version of the iterative Borel summation, instead of the exponential function, we use a stretched (compacted) exponential function. For the poles, considering inverse quantities is prescribed. The simplest scheme of the iterative Borel method, based on averaging over the one-step and two-step Borel iterations, works well when lower and upper bounds are established by making those steps. In the situations when only a one-sided bound is found, the iterative Borel summation with the number of iterations employed as the control works best by extrapolating beyond the bound. Several key examples from condensed matter physics are considered. Iterative application of Borel summation leads to an improvement compared with a conventional, single-step application of the Borel summation.
Title: Iterative Borel Summation with Self-Similar Iterated Roots
Description:
Borel summation is applied iteratively in conjunction with self-similar iterated roots.
In general form, the iterative Borel summation is presented in the form of a multi-dimensional integral.
It can be developed only numerically and is rarely used.
Such a technique is developed in the current paper analytically and is shown to be more powerful than the original Borel summation.
The self-similar nature of roots and their asymptotic scale invariance allow us to find critical indices and amplitudes directly and explicitly.
The locations of poles remain the same with the uncontrolled self-similar Borel summation.
The number of steps employed in the course of iterations is used as a continuous control parameter.
To introduce control into the discrete version of the iterative Borel summation, instead of the exponential function, we use a stretched (compacted) exponential function.
For the poles, considering inverse quantities is prescribed.
The simplest scheme of the iterative Borel method, based on averaging over the one-step and two-step Borel iterations, works well when lower and upper bounds are established by making those steps.
In the situations when only a one-sided bound is found, the iterative Borel summation with the number of iterations employed as the control works best by extrapolating beyond the bound.
Several key examples from condensed matter physics are considered.
Iterative application of Borel summation leads to an improvement compared with a conventional, single-step application of the Borel summation.
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