Convergence of repeated-pole rational approximation of the exponential on infinite sectors
arXiv:2610.09251
Abstract
For , degree , , and , let and let denote the best uniform error for approximating on by rational functions whose only possible finite pole is , with multiplicity at most . For the linear scaling with a fixed , a Möbius map reduces the problem to polynomial approximation on a compact lens. Write and let denote the saddle-coalescence threshold. For , let be the exponential of the real saddle action. An exact boundary Faber integral, a global fractional-power contour deformation, and a two-saddle expansion yield the sharp two-sided order , uniformly on compact subsets of . On this noncoalescing interval, the exponential factor has the unique minimizer and minimum , recovering the classical half-line factor at . Numerical-range estimates give matrix dimension-independent upper bounds for projected shift-and-invert Arnoldi, while finite-degree pole searches and nonnormal experiments illustrate the distinction between the sector-uniform law and individual matrix computations.