Optimal resistor networks

Abstract Given a graph on vertices with edges, each of unit resistance, how small can the average resistance between pairs of vertices be? There are two very plausible extremal constructions — graphs like a star, and graphs which are close to regular — with the transition between them occurring when the average degree is 3. However, in this paper, we show that there are significantly better constructions for a range of average degree including average degree near 3. A key idea is to link this question to a analogous question about rooted graphs — namely ‘which rooted graph minimises the average resistance to the root?’. The rooted case is much simpler to analyse that the unrooted, and the one of the main results of this paper is that the two cases are asymptotically equivalent.

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Publication Details

Journal
Mathematika
Published
2024-09-06
DOI
https://doi.org/10.1112/mtk.12278
Primary Topic
Graph theory and applications
Type
article
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article

Optimal resistor networks

Mark Walters, J. Robert Johnson
Mathematika
Graph theory and applications
article

Optimal resistor networks

Mark Walters, J. Robert Johnson
article en

Abstract

Abstract Given a graph on vertices with edges, each of unit resistance, how small can the average resistance between pairs of vertices be? There are two very plausible extremal constructions — graphs like a star, and graphs which are close to regular — with the transition between them occurring when the average degree is 3. However, in this paper, we show that there are significantly better constructions for a range of average degree including average degree near 3. A key idea is to link this question to a analogous question about rooted graphs — namely ‘which rooted graph minimises the average resistance to the root?’. The rooted case is much simpler to analyse that the unrooted, and the one of the main results of this paper is that the two cases are asymptotically equivalent.

MathematikaVol. 70(4)
Queen Mary University of London (GB)
Openalex Percentile: Top 76%
Graph theory and applications
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