DE-Sinc approximation for unilateral rapidly decreasing functions and its computational error bound

The Sinc approximation is known to be a highly efficient approximation formula for rapidly decreasing functions. For unilateral rapidly decreasing functions, which rapidly decrease as $x\to\infty$ but does not as $x\to-\infty$, an appropriate variable transformation makes the functions rapidly decreasing. As such a variable transformation, Stenger proposed $t = \sinh(\log(\operatorname{arsinh}(\exp x)))$, which enables the Sinc approximation to achieve root-exponential convergence. Recently, another variable transformation $t = 2\sinh(\log(\log(1+\exp x)))$ was proposed, which improved the convergence rate. Furthermore, its computational error bound was provided. However, this improvement was not significant because the convergence rate remained root-exponential. To improve the convergence rate significantly, this study proposes a new transformation, $t = 2\sinh(\log(\log(1+\exp(\pi\sinh x))))$, which is categorized as the double-exponential (DE) transformation. Furthermore, this study provides its computational error bound, which shows that the proposed approximation formula can achieve almost exponential convergence. Numerical experiments that confirm the theoretical result are also provided.