Determining nonlinear balance laws in product-type domains by a single local passive boundary observation
Chaohua Duan, Hongyu Liu, Qingle Meng, Li Wang
TL;DR
This work addresses the inverse problem for nonlinear balance laws by recasting flux and source terms as nonlinear operators and showing that a single local passive boundary observation can nearly determine their action on the state, within product-type domains. The authors develop an operator-theoretic framework combined with complex geometrical optics and microlocal analysis to prove approximate unique identifiability of the flux and source operators from boundary data, with reconstruction errors scaling as powers of the microscale parameter $\varepsilon$. The main results establish quantitative bounds: $|\tilde{\mathscr{F}^1}(u^j)-\tilde{\mathscr{F}^2}(u^j)|\le C\varepsilon^{\tau}$ and, under a flux-equality condition, $|\mathfrak{f}^1(u^j)-\mathfrak{f}^2(u^j)|\le C'\varepsilon^{\tau_1}$; these bounds link interior nonlinear dynamics to boundary measurements in multiscale geometric settings. An application to reaction-diffusion-convection systems demonstrates the framework's practical relevance, providing explicit bounds for advection and reaction terms and revealing a holographic-like principle that interior dynamics are encoded in boundary observations at the macroscale.
Abstract
This paper introduces an operator-theoretic paradigm for solving inverse problems in nonlinear balance laws, shifting the focus from identifying specific functional forms to recovering the input-output actions of the associated flux and source operators. It is established that a single local passive boundary observation suffices to uniquely determine realizations of these operators for systems posed on product-type domains. This framework, which encompasses dynamical regimes, reveals a holographic-type principle where macroscopic boundary data encodes microscopic dynamical information, with broad implications for fluid dynamics and reaction-diffusion systems.
