On a Non-Newtonian Calculus of Variations

TL;DR

This paper develops a non-Newtonian calculus of variations tailored for positive functions, providing a new framework that ensures solutions stay within physically meaningful positive ranges, with a derived Euler-Lagrange optimality condition.

Contribution

It introduces a novel non-Newtonian calculus of variations for positive functions, extending classical methods to ensure physically admissible solutions.

Findings

Derived a first-order Euler-Lagrange type optimality condition.

Provided an example illustrating the application of the new calculus.

Ensured solutions remain positive, aligning with physical constraints.

Abstract

The calculus of variations is a field of mathematical analysis born in 1687 with Newton's problem of minimal resistance, which is concerned with the maxima or minima of integral functionals. Finding the solution of such problems leads to solving the associated Euler-Lagrange equations. The subject has found many applications over the centuries, e.g., in physics, economics, engineering and biology. Up to this moment, however, the theory of the calculus of variations has been confined to Newton's approach to calculus. As in many applications negative values of admissible functions are not physically plausible, we propose here to develop an alternative calculus of variations based on the non-Newtonian approach first introduced by Grossman and Katz in the period between 1967 and 1970, which provides a calculus defined, from the very beginning, for positive real numbers only, and it is based on a (non-Newtonian) derivative that permits one to compare relative changes between a dependent positive variable and an independent variable that is also positive. In this way, the non-Newtonian calculus of variations we introduce here provides a natural framework for problems involving functions with positive images. Our main result is a first-order optimality condition of Euler-Lagrange type. The new calculus of variations complements the standard one in a nontrivial/multiplicative way, guaranteeing that the solution remains in the physically admissible positive range. An illustrative example is given.