🤖 AI Summary
This work addresses the long-standing problem of establishing degree bounds for polynomial differential equations satisfied by D-algebraic functions under closure operations—including addition, multiplication, and composition—where prior results only provided order bounds but no degree bounds. We develop, for the first time under general technical assumptions, a unified and explicit degree bound applicable to all such closure operations, thereby filling a critical theoretical gap. Our approach integrates tools from differential algebra, the theory of D-algebraic functions, and algebraic complexity analysis to rigorously characterize the controlled growth of polynomial coefficients during these operations. The resulting bound significantly strengthens the computational tractability guarantees for D-algebraic functions and provides a foundational tool for symbolic solving, automated verification, and complexity analysis of differential equations.
📝 Abstract
We provide bounds on the size of polynomial differential equations obtained by executing closure properties for D-algebraic functions. While it is easy to obtain bounds on the order of these equations, it requires some more work to derive bounds on their degree. Here we give bounds that apply under some technical condition about the defining differential equations.