Graph Strength Calculator

edge toughness ratio

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About Graph Strength Calculator

A graph strength calculator computing σ(G) = min |F|/(ω(G-F)-1) over all disconnecting edge sets F. Edge analogue of toughness! σ ≥ 1 necessary for spanning connected subgraph. Tutte-Nash-Williams: σ ≥ k iff k edge-disjoint spanning trees exist. Client-side.

Graph Strength Calculator Features

  • σ(G)
  • |F|/(ω-1)
  • Spanning trees
  • Tutte-NW
  • Common graphs
Graph strength σ(G) = min |F|/(ω(G-F)-1) over disconnecting F. Edge dual of toughness. Beautiful theorem: σ ≥ k ⟺ G has k edge-disjoint spanning trees (Tutte-Nash-Williams). Connects vulnerability to spanning tree packing!

How to Use

Select graph:

  • σ: Strength
  • |F|/(ω-1): Ratio
  • Trees: Packing

Tutte-Nash-Williams

⌊σ(G)⌋ = max number of edge-disjoint spanning trees. Remarkable! Graph strength directly equals spanning tree packing number. One of the most beautiful results in graph theory.

σ vs t

Strength σ: edges removed / (components-1). Toughness t: vertices removed / components. Beautiful duality between edge and vertex vulnerability. σ is computable in polynomial time (via matroid theory); t is NP-hard!

Step-by-Step Instructions

  1. 1Select graph.
  2. 2Compute σ.
  3. 3Find ⌊σ⌋ spanning trees.
  4. 4Compare with t.
  5. 5Apply Tutte-NW.

Graph Strength Calculator — Frequently Asked Questions

Why is strength so special?+

Unlike toughness (NP-hard), strength is polynomial-time computable via matroid intersection. AND it directly gives the spanning tree packing number. A rare case where a vulnerability parameter is both meaningful and tractable.

What's the Tutte-Nash-Williams theorem?+

Graph G has k edge-disjoint spanning trees ⟺ for every partition P of V, sum of edges crossing parts ≥ k(|P|-1). Equivalently: ⌊σ(G)⌋ = max spanning tree packing. Proved independently by Tutte and Nash-Williams.

How does strength relate to connectivity?+

λ(G) ≤ 2σ(G). Strength provides a more refined measure. High strength means the graph has many edge-disjoint spanning trees, implying high redundancy.

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