Graph Effective Resistance and Distributed Control: Electrical Analogy and Scalability

نویسندگان

  • Prabir Barooah
  • João P. Hespanha
چکیده

We introduce the concept of matrix-valued effective resistance for undirected matrix-weighted graphs. These effective resistances are defined to be the square blocks that appear in the diagonal of the inverse of the matrix-weighted Dirichlet graph Laplacian matrix. However, they can also be obtained from a “generalized” electrical network that is constructed from the graph, and for which currents, voltages and resistances take matrix values. In a recent paper [3], we showed that effective resistances have a direct physical interpretation in several distributed control problems and can be used to characterize their stability and speed of convergence. In this paper, we establish several properties of effective resistances. In particular, (i) we show that the effective resistances are monotone with respect to an appropriately defined graph embedding relation; (ii) we determine laws that characterize how effective resistances scale with the distance between nodes for regular-degree large scale graphs; and (iii) we extend these laws for irregular large scale graphs that exhibit appropriate denseness properties.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Resistance-Based Performance Analysis of the Consensus Algorithm over Geometric Graphs

The performance of the linear consensus algorithm is studied by using a Linear Quadratic (LQ) cost. The objective is to understand how the communication topology influences this algorithm. This is achieved by exploiting an analogy between Markov Chains and electrical resistive networks. Indeed, this permits to uncover the relation between the LQ performance cost and the average effective resist...

متن کامل

Steady Flow Analysis and Modeling of the Gas Distribution Network Using the Electrical Analogy (RESEARCH NOTE)

The mathematical modeling of a gas network is a powerful tool in order to identify the behavior of system under the different conditions. The modeling can be performed both for the steady state and unsteady state conditions. It is possible to use the fluid flow basic governing equations or the electrical analogy concept for developing the model. The second approach provides a simpler and more r...

متن کامل

LPKP: location-based probabilistic key pre-distribution scheme for large-scale wireless sensor networks using graph coloring

Communication security of wireless sensor networks is achieved using cryptographic keys assigned to the nodes. Due to resource constraints in such networks, random key pre-distribution schemes are of high interest. Although in most of these schemes no location information is considered, there are scenarios that location information can be obtained by nodes after their deployment. In this paper,...

متن کامل

Distributed Dynamic Graph Analytic Framework: Scalable Layered Multi-Modal Network Analysis

Dynamic Graph Analytic Framework (DYGRAF) is a domain agnostic framework from which data alignment, data association, and layered multi-modal network analysis can be performed. Past installments of DYGRAF have been able to provide analytic insight for small and medium-sized data sets, however scalability becomes problematic as the amount of collected data increases. In this work, we discuss ext...

متن کامل

A resistance-based approach to performance analysis of the consensus algorithm

We study the well–known linear consensus algorithm by means of a LQ-type performance cost. We want to understand how the communication topology influences this algorithm. In order to do this, we recall the analogy between Markov Chains and electrical resistive networks. By exploiting this analogy, we are able to rewrite the performance cost as the average effective resistance on a suitable netw...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006