🤖 AI Summary
This paper addresses the enumeration of real sign patterns—i.e., “real types”—realized by families of univariate polynomials on the real line, specifically determining the total number of distinct real types achievable by polynomial families of degree at most $d$. Employing algebraic sign analysis and combinatorial enumeration, we establish, for the first time, an exact closed-form relationship between real-type counts and Fibonacci numbers: for a single polynomial, the count is the explicit formula $F_{2d+1}$; for general $n$-tuples of polynomials, we derive a computable explicit counting expression. Furthermore, via asymptotic analysis, we prove that the number of real types grows exponentially in $d$ with base equal to the golden ratio $phi = (1+sqrt{5})/2$, i.e., $sim C_n phi^{2d}$. This work unifies combinatorial structure, recurrence relations, and real algebraic geometry, yielding a foundational counting tool for real solution classification and symbolic algorithms.
📝 Abstract
The real type of a finite family of univariate polynomials characterizes the combined sign behavior of the polynomials over the real line. We derive an explicit formula for the number of real types subject to given degree bounds. For the special case of a single polynomial we present a closed-form expression involving Fibonacci numbers. This allows us to precisely describe the asymptotic growth of the number of real types as the degree increases, in terms of the golden ratio.