Collatz Sinogowitz Index Calculator

spectral irregularity measure

CalculatorsFreeNo Signup
4.9(218 reviews)
All Tools

Loading tool...

About Collatz Sinogowitz Index Calculator

A Collatz-Sinogowitz irregularity calculator computing CS(G) = λ₁ - 2m/n where λ₁ is largest adjacency eigenvalue (spectral radius). Collatz-Sinogowitz (1957). Spectral irregularity: CS = 0 iff regular. Oldest irregularity index. Client-side.

Collatz Sinogowitz Index Calculator Features

  • CS(G)
  • λ₁-d̄
  • Spectral
  • CS=0↔reg.
  • Common graphs
Collatz-Sinogowitz CS(G) = λ₁ - 2m/n. The first irregularity index ever proposed (1957)! λ₁ = spectral radius (largest eigenvalue of adjacency matrix). CS ≥ 0 always. CS = 0 ⟺ regular. Spectral approach to irregularity.

How to Use

Select graph:

  • CS: Spectral irreg.
  • λ₁: Spectral radius
  • d̄: Average degree

Spectral View

For regular d-graphs: λ₁ = d = d̄, so CS = 0. For irregular: λ₁ > d̄ always (λ₁ ≥ d̄ by Rayleigh quotient). The excess λ₁-d̄ measures how much the dominant eigenstructure deviates from regularity.

Historical

Proposed by Collatz & Sinogowitz in 1957 — the dawn of spectral graph theory! Predates all other irregularity measures by decades. Elegant: uses one number (spectral radius) to measure graph structure.

Step-by-Step Instructions

  1. 1Select graph.
  2. 2Compute λ₁ (spectral radius).
  3. 3Compute d̄ = 2m/n.
  4. 4CS = λ₁ - d̄.
  5. 5Check if CS≈0.

Collatz Sinogowitz Index Calculator — Frequently Asked Questions

Why spectral radius?+

λ₁ is the maximum eigenvalue of the adjacency matrix. For regular graphs: λ₁ = d (the common degree). For irregular: λ₁ > d̄. The excess captures how the graph's structure differs from a regular pattern.

CS vs Albertson A?+

A uses degrees directly (combinatorial). CS uses eigenvalues (spectral). They can disagree: two graphs with same A can have different CS. Spectral info captures structural properties beyond degree sequence.

Computing λ₁?+

For small graphs: eigenvalue decomposition of adjacency matrix. For large: power iteration converges to λ₁. For known families: closed formulas. K_n: λ₁=n-1. C_n: λ₁=2. P_n: 2cos(π/(n+1)).

Share this tool: