What is the Omega Constant?

Fixed-point iteration: e^(−x) converging to Ω

Starting from x=0.5, repeatedly applying e^(−x) converges to Ω ≈ 0.5671. The fixed point satisfies Ω = e^(−Ω), equivalently Ω·e^Ω = 1.

Iterationxe^(−x)|x − Ω|
10.50.606530.067
20.606530.545450.022
30.545450.579700.008
40.579700.560070.003
50.560070.571210.001
→ 0
ΩΩ0
Lambert W function: where Ω appears
W(xe^x) = x → Ω = W(1) ≈ 0.56714
Ω solves xe^x = 1. It appears in delay differential equations, Lagrange points, iterated exponentials (e^e^e…), and in the time complexity of certain sorting algorithms.
Computing Omega

Omega can be computed by Newton's method applied to f(x) = x*e^x - 1, or by the simple iteration Omega(n+1) = e^(-Omega_n), which converges from any positive starting point. Starting from 1.0 gives: 0.3679, 0.6922, 0.5002, 0.6065, 0.5452, ... converging to Omega ≈ 0.56714. About 10 iterations gives 6 correct decimal places.

Self-referential identity

Omega satisfies the infinite tower: Omega = e^(-e^(-e^(-...))). An infinite stack of negative exponentials converges to Omega. This follows directly from the iteration formula: the fixed point of x maps to e^(-x), which is exactly Omega.

Related topics
E Taylor Series Feigenbaum
Key facts about the Omega Constant

The Omega constant satisfies Omega * e^Omega = 1, so Omega ≈ 0.56714. It is the value of the Lambert W function at 1, and satisfies e^(-Omega) = Omega. The simple iteration Omega_new = e^(-Omega_old) converges from any positive starting value. Omega is transcendental. It satisfies the infinite tower Omega = e^(-e^(-e^(-...))). It appears in the analysis of algorithms and solutions to delay differential equations.

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How can Ω be computed numerically?
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