# Net reproduction functions for nonlinear structured population models

## TL;DR

This paper introduces a novel method to define net reproduction functions for nonlinear structured population models by reformulating them as families of linear models in constant environments, aiding in analyzing steady states.

## Contribution

It presents a new approach to analyze nonlinear population models by converting them into linear problems, facilitating the study of positive steady states and reproductive metrics.

## Key findings

- Reformulation of nonlinear models as linear families.
- Use of spectral theory to define net reproduction number.
- Application to analyze steady states.

## Abstract

The goal of this note is to present a general approach to define the net reproduction function for a large class of nonlinear physiologically structured population models. In particular, we are going to show that this can be achieved in a natural way by reformulating a nonlinear problem as a family of linear ones; each of the linear problems describing the evolution of the population in a different, but constant environment. The reformulation of a nonlinear population model as a family of linear ones is a new approach, and provides an elegant way to study qualitative questions, for example the existence of positive steady states. To define the net reproduction number for any fixed (constant) environment, i.e. for the linear models, we use a fairly recent spectral theoretic result, which characterizes the connection between the spectral bound of an unbounded operator and the spectral radius of a corresponding bounded operator. For nonlinear models, varying the environment naturally leads to a net reproduction function.