Systems of several first-order quadratic recursions whose evolution is easily ascertainable
Francesco Calogero

TL;DR
This paper derives explicit formulas to solve systems of multiple quadratic recursions with known coefficients, allowing straightforward determination of solutions based on initial parameters.
Contribution
It provides explicit formulas to solve complex quadratic recursion systems, simplifying their analysis and solution process.
Findings
Explicit formulas for solutions of quadratic recursions are derived.
Solutions depend on initial parameters and known coefficients.
The method applies to systems with arbitrary positive integer N.
Abstract
The evolution, as functions of the "ticking time" , of the solutions of the system of quadratic recursions \begin{eqnarray*} x_{n}\left( \ell +1\right) =c_{n}+\sum_{m=1}^{N}\left[ C_{nm}x_{m}\left( \ell \right) \right] +\sum_{m=1}^{N}\left\{ d_{nm}\left[ x_{m}\left( \ell \right) \right] ^{2}\right\} +\sum_{m_{1}>m_{2}=1}^{N}\left[ D_{nm_{1}m_{2}}x_{m_{1}}\left( \ell \right) x_{m_{2}}\left( \ell \right) \right] ~,~~~n=1,2,...,N~, && \end{eqnarray*} featuring (-independent) coefficients , , and , may be easily ascertained, if these coefficients are given, in terms of a priori arbitrary parameters and , by explicit formulas provided in this paper. Here …
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Taxonomy
TopicsAdvanced Differential Equations and Dynamical Systems · Polynomial and algebraic computation
