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Title: Locality of interactions for planar memristive circuits

Journal Article · · Physical Review E

The dynamics of purely memristive circuits has been shown to depend on a projection operator which expresses the Kirchhoff constraints, is naturally non-local in nature, and does represent the interaction between memristors. In the present paper we show that for the case of planar circuits, for which a meaningful Hamming distance can be defined, the elements of such projector can be bounded by exponentially decreasing functions of the distance. We provide a geometrical interpretation of the projector elements in terms of determinants of Dirichlet Laplacian of the dual circuit. For the case of linearized dynamics of the circuit for which a solution is known, this can be shown to provide a light cone bound for the interaction between memristors. Furthermore, this result establishes a finite speed of propagation of signals across the network, despite the non-local nature of the system.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1410621
Alternate ID(s):
OSTI ID: 1408058
Report Number(s):
LA-UR-17-23533; PLEEE8; TRN: US1800141
Journal Information:
Physical Review E, Vol. 96, Issue 5; ISSN 2470-0045
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 9 works
Citation information provided by
Web of Science

References (25)

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Nanobatteries in redox-based resistive switches require extension of memristor theory journal April 2013
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Data Clustering using Memristor Networks journal May 2015
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Conducting-insulating transition in adiabatic memristive networks journal January 2017
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Cited By (3)

Scalable Method to Find the Shortest Path in a Graph with Circuits of Memristors journal December 2018
Memristors for the Curious Outsiders journal December 2018
A scalable method to find the shortest path in a graph with circuits of memristors text January 2018

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