Nirmala Index Calculator

square-root degree sum

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About Nirmala Index Calculator

A Nirmala index calculator computing N(G) = Σ_{(i,j)∈E} √(dᵢ+dⱼ). Kulli (2021). Square root of degree sum per edge. Mellower than sum-connectivity: √(d+d) vs 1/√(d+d). Moderate sensitivity to degree variation. Named after mathematician Nirmala. Client-side.

Nirmala Index Calculator Features

  • N(G)
  • √(d+d)
  • Kulli '21
  • Sub-linear
  • Common graphs
Nirmala index N(G) = Σ √(dᵢ+dⱼ) over edges. Kulli (2021). Sub-linear in degree sums: √ dampens extreme degrees. N lies between sum-connectivity χ (which uses 1/√) and first Zagreb M₁ (which uses no root). A 'Goldilocks' index.

How to Use

Select graph:

  • N: Nirmala index
  • √(d+d): Per edge
  • vs χ: Compare

Index Landscape

χ = Σ1/√(d+d): decreasing in d. N = Σ√(d+d): increasing in d, sub-linear. M₁ = Σ(d+d): linear. F = Σ(d²+d²): quadratic. N fills the sub-linear niche between χ and M₁.

Bounds

N ≥ m·√(2δ) where δ = min degree. N ≤ m·√(2Δ). For regular d-graphs: N = m·√(2d). N(K_n) = n(n-1)/2·√(2(n-1)).

Step-by-Step Instructions

  1. 1Select graph.
  2. 2For each edge: √(dᵢ+dⱼ).
  3. 3Sum all terms.
  4. 4Compare with χ, M₁.
  5. 5Assess sub-linearity.

Nirmala Index Calculator — Frequently Asked Questions

Why √(d+d)?+

√ provides sub-linear growth: doubling degree sum only increases contribution by √2≈1.41×. This makes N less sensitive to extreme hubs than M₁, but more sensitive than χ (which inverts). Moderate sensitivity.

N vs Sombor?+

Sombor: √(d²+d²) = √2 times geometric mean path. Nirmala: √(d+d). Sombor uses Euclidean norm, Nirmala uses arithmetic sum under root. Different geometric interpretation.

Applications?+

N correlates well with molecular volume and van der Waals surface area. The sub-linear dampening matches physical size scaling: doubling atoms doesn't double surface area, it scales as ~n^(2/3).

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