Inverse Quantum Potential Reconstruction via Generalized Bertlmann-Martin Inequalities

TL;DR

This paper introduces a novel Laplace-moment reconstruction method to recover quantum potentials from limited spectral data, utilizing generalized Bertlmann-Martin inequalities and Pade approximants.

Contribution

It develops a new inverse reconstruction pipeline linking spectral bounds to potential functions using advanced mathematical transforms and interpolation schemes.

Findings

Successfully applied to Coulomb, harmonic oscillator, Hulthen, Kratzer, and hyperbolic-well potentials.

Provides diagnostics for each approximation stage in the reconstruction process.

Limits conclusions to benchmark cases rather than universal claims.

Abstract

Reconstructing a radial (1D) quantum potential, V(r), from a few bound-state energies is a long-standing inverse problem because limited spectral data must constrain an entire potential. We present a Laplace-moment reconstruction pipeline that links the Bertlmann-Martin gap bound to generalized Bertlmann-Martin (GBM) even-moment ladders, continues the Laplace transform with Pade approximants, and inverts the transform to recover rho(r) and V(r). Odd moments are supplied by a physically consistent interpolation scheme. Benchmark settings and diagnostics for Coulomb, harmonic oscillator, Hulthen, Kratzer, and hyperbolic-well cases are stated so each approximation stage can be assessed under a common empirical basis. The conclusions are therefore limited to the reported benchmark settings rather than offered as universal method claims.