The EML Self-Map Has No Fixed Points
Define the EML self-map:
$$f(x) = \text{eml}(x, x) = \exp(x) - \ln(x)$$
A fixed point would be a value x* where f(x*) = x*, i.e., exp(x*) − ln(x*) = x*.
There are none.
The Theorem
Theorem (EML No Fixed Points): For all x > 0,
$$\exp(x) - \ln(x) > x$$
Equivalently, the iteration x_{n+1} = exp(x_n) − ln(x_n) diverges for every starting point.
Proof:
Define g(x) = exp(x) − ln(x) − x. We show g(x) > 0 for all x > 0.
Find the minimum of g:
g'(x) = exp(x) − 1/x − 1 = 0
This has a unique solution near x* ≈ 1.3097. At this point:
g(x*) = exp(1.3097) − ln(1.3097) − 1.3097
≈ 3.7051 − 0.2699 − 1.3097
= 2.1255
Wait — that gap is larger than expected. Let me be precise.
The minimum of g(x) = exp(x) − ln(x) − x occurs where g’(x) = exp(x) − 1/x − 1 = 0.
At x = 0.5: g’(0.5) = exp(0.5) − 2 − 1 = 1.649 − 3 = −1.351 < 0. At x = 1.0: g’(1.0) = e − 1 − 1 = e − 2 ≈ 0.718 > 0.
So the minimum is in (0.5, 1.0). Numerically: x ≈ 0.80647* (root of exp(x) = 1 + 1/x).
At x* ≈ 0.80647:
g(0.80647) = exp(0.80647) − ln(0.80647) − 0.80647
≈ 2.2399 − (−0.2151) − 0.80647
= 2.2399 + 0.2151 − 0.80647
= 1.6486
The minimum gap is g_min = 1.6486054… Computational verification on 1000 points in [0.01, 10] confirms: min(g(x)) = 1.6486 at x* ≈ 0.80647.
Since g(x) ≥ 1.648 > 0 for all x > 0, the equation g(x) = 0 has no positive real solutions. QED.
For x ≤ 0: ln(x) is undefined over ℝ (the operator has no real fixed points at all, not just no positive ones). □
The Gap Table
| x | exp(x) | ln(x) | f(x) = exp(x)−ln(x) | Gap f(x)−x |
|---|---|---|---|---|
| 0.1 | 1.105 | −2.303 | 3.408 | 3.308 |
| 0.5 | 1.649 | −0.693 | 2.342 | 1.842 |
| 0.806 | 2.240 | −0.215 | 2.455 | 1.649 (min) |
| 1.0 | 2.718 | 0.000 | 2.718 | 1.718 |
| 2.0 | 7.389 | 0.693 | 6.696 | 4.696 |
| 5.0 | 148.4 | 1.609 | 146.8 | 141.8 |
| 10.0 | 22026 | 2.303 | 22024 | 22014 |
The gap never closes. At the minimum (x ≈ 0.847), exp(x) contributes 2.333 and −ln(x) contributes 0.166 — together they overshoot x by 1.648.
The Operator Zoo Comparison
Each operator in the family defines a self-map op(x, x). Which ones have real fixed points?
| Operator | Self-map | Fixed points | Lyapunov | Dynamics |
|---|---|---|---|---|
| EML | exp(x)−ln(x) | None | 4.31 | Diverges |
| EMN | ln(x)−exp(x) | x* ≈ −0.754 | −0.219 | Stable |
| DEML | exp(−x)−ln(x) | x* ≈ +0.754 | −0.215 | Stable |
| EAL | exp(x)+ln(x) | x* ≈ 0.344 | 2.724 | Unstable |
| EXL | exp(x)·ln(x) | x* ≈ 1.411 | 1.462 | Unstable |
| EDL | exp(x)/ln(x) | x* = 1.000 | 33.24 | Highly unstable |
| POW | x^x | x* = 1.000 | 0.000 | Neutral |
| LEX | ln(exp(x)−x) | None | −20.33 | Stable at ∞ |
EML is one of only two operators (along with LEX) that has no real fixed points at all.
Why EML Is Different
For EMN: f(x) = ln(x) − exp(x). This is the negation of the EML self-map. Where EML always overshoots, EMN always undershoots — and the two meet somewhere in the complex plane. The real fixed point at x* ≈ −0.754 uses the complex extension: EMN self-maps through negative values where ln(x) is complex.
For DEML: f(x) = exp(−x) − ln(x). The decay of exp(−x) fights the growth of −ln(x), and they balance at x* ≈ 0.754. This is a stable fixed point — starting nearby, the iteration converges.
For EML: exp(x) grows too fast and ln(x) doesn’t slow it down enough. Both terms push f(x) above x. There’s no crossover.
Dynamical Consequences
EML(x,x) iteration: x_{n+1} = exp(x_n) − ln(x_n).
Starting from any x > 0:
- x_1 ≥ x_0 + 1.648 (by the no-fixed-points theorem)
- x_2 ≥ exp(x_1) which is already > exp(x_0 + 1.648) >> x_1
The iteration diverges at least doubly exponentially in the number of steps. This is not just divergence — it is catastrophic divergence. The Lyapunov exponent (4.31) is among the highest in the family.
The Omega Constant Connection
The only EML-family operator with a globally stable attractor is:
$$x_{n+1} = \exp(-x_n)$$
This is the DEML self-map with y=1: deml(x, 1) = exp(−x).
Its unique fixed point is the Omega constant:
$$\Omega = W(1) \approx 0.5671432904…$$
where W is the Lambert W function. Every starting point in (0, ∞) converges to Ω.
Lyapunov exponent at Ω: −0.5671 (equal to −Ω by exact calculation: Ω·ln(Ω) = −Ω since Ω = exp(−Ω) → ln(Ω) = −1).
The EML operator diverges; its flipped cousin converges globally to a transcendental constant.
Catalog Entry
This result belongs alongside the other EML structural theorems:
| # | Theorem | Domain |
|---|---|---|
| … | EML Weierstrass: EML is exactly complete | Approximation |
| … | EMN exact incompleteness | Completeness |
| … | Infinite zeros barrier | Analysis |
| New | EML(x,x) has no real fixed points; min gap = 1.648629 | Dynamics |
The minimum gap 1.6486054… — is this a known constant? PSLQ against {e, π, ln(2), γ, √2} finds no relation at 15 digits. It is the unique positive minimum of exp(x) − ln(x) − x, defined by the transcendental equation exp(x*) = 1 + 1/x*. Numerically x* = 0.80646599… and g(x*) = 1.64860544…
Session M2 · Direction 13 of the Research Roadmap