On the effective impedance of finite and infinite networks
Anna Muranova

TL;DR
This paper investigates the effective impedance of AC networks modeled as graphs, establishing estimates for finite networks and demonstrating convergence of impedance sequences to a holomorphic function for infinite networks.
Contribution
It introduces a method to define the effective impedance of infinite networks via convergence of finite network impedances, extending classical results to complex-valued weights.
Findings
Finite network impedances are effectively estimated.
Impedance sequences converge to a holomorphic function.
A framework for defining infinite network impedance is established.
Abstract
In this paper we deal with the notion of the effective impedance of AC networks consisting of resistances, coils and capacitors. Mathematically such a network is a locally finite graph whose edges are endowed with complex-valued weights depending on a complex parameter (by the physical meaning, , where is the frequency of the AC). For finite networks, we prove some estimates of the effective impedance. Using these estimates, we show that, for infinite networks, the sequence of impedances of finite graph approximations converges in certain domains in to a holomorphic function of , which allows us to define the effective impedance of the infinite network.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
