Special Session 140: Recent advances in wavelet analysis, PDEs and dynamical systems – part III

ANALYSIS AND MODELLING OF FASHION TRENDS
Hyeong-Ohk Bae
Ajou University
Korea
Co-Author(s):    Hyeong-Ohk Bae
Abstract:
We suggest a system of differential equations that models the formulation and evolution of a trend cycle through the consideration of underlying dynamics between the trend participants. Our model captures the five stages of a trend cycle, namely, the onset, rise, peak, decline, and obsolescence. It also provides a unified mathematical criterion/condition to characterize the fad, fashion and classic. Such a model is based on an elasticity in non-Newtonian fluid. We prove that the solution of our model can capture various trend cycles. Numerical simulations are provided to show the expressive power of our model.