Mathematical modeling study demonstrates controlled state trajectory management in inertial economic systems, indicating a viable alternative to trial-and-error policy design.
Key Points
To develop and apply a one-dimensional linear ordinary differential equation model for quantitatively describing the dynamics of inertial economic systems, focusing on the prime rate–investment relationship.
Formulated a one-dimensional linear ordinary differential equation to represent inertial economic dynamics.
Evaluated empirical investment data structured by an estimator mathematically characterized as a linear operator.
Identified the homogeneous equation of the model to establish targeted state trajectories for controlled economic behavior.
Demonstrated that empirical investment dynamics align with linear operator estimators, allowing formal identification of system equations.
Enabled deliberate state trajectory steering in economic systems through quantitatively designed experiments rather than trial-and-error methods.
Cite This Study
Viacheslav Karmalita (2026) studied this question.