Navier-Stokes: I-Ratio as Laminar Flow Diagnostic
Hypothesis
The I-ratio between advection and diffusion forces in viscous fluid flow approaches \(I = -0.5\) in the laminar regime and departs from that value at the turbulent transition. Specifically, when the Reynolds number \(\text{Re} = U L / \nu\) is low (strong diffusion), the two forces are in equilibrium and the I-ratio converges to \(-0.5\). As \(\text{Re}\) increases (weaker diffusion), the force balance breaks and the I-ratio moves away from equilibrium, signalling the onset of turbulence.
Method
- Solve the 1D viscous Burgers equation, the simplest nonlinear PDE retaining the advection-diffusion structure of Navier-Stokes: \[ \frac{\partial u}{\partial t} + u \frac{\partial u}{\partial x} = \nu \frac{\partial^2 u}{\partial x^2} \]
- Discretise on a uniform grid with a 5-point stencil. Domain \(x \in [0, 1]\), \(N = 100\) grid points, \(\Delta t\) chosen for CFL stability.
- Initial condition: \(u(x, 0) = \sin(2\pi x)\). Boundary conditions: \(u(0,t) = u(1,t) = 0\).
- Sweep viscosity \(\nu\) through six values: 0.001, 0.005, 0.01, 0.05, 0.1, 0.5. Corresponding Reynolds numbers \(\text{Re} = 1/\nu\) range from 2 to 1000.
- At each viscosity, run 500 time steps. Compute:
- \(F_{\text{adv}}\): spatially averaged advection force \(|u \, \partial u / \partial x|\)
- \(F_{\text{diff}}\): spatially averaged diffusion force \(|\nu \, \partial^2 u / \partial x^2|\)
- I-ratio: \(I = \frac{F_{\text{adv}} - F_{\text{diff}}}{F_{\text{adv}} + F_{\text{diff}}}\)
- S score: convergence diagnostic from the I-ratio framework
- \(\max|u|\): peak velocity magnitude at final time step
- Monitor the S score at each time step. Record the first step where \(S < 0\) (instability detection).
Results
Viscosity Sweep
| \(\nu\) | Re | I-ratio | S score | \(\max|u|\) | Regime |
|---|---|---|---|---|---|
| 0.001 | 1000 | 0.322 | -0.102 | 0.582 | Turbulent |
| 0.005 | 200 | 0.088 | 0.502 | 0.580 | Turbulent |
| 0.01 | 100 | -0.073 | 0.803 | 0.577 | Transitional |
| 0.05 | 20 | \(-9.4 \times 10^{-6}\) | 1.000 | 0.554 | Laminar |
| 0.1 | 10 | \(-1.3 \times 10^{-10}\) | 1.000 | 0.526 | Laminar |
| 0.5 | 2 | 0.000 | 1.000 | 0.337 | Laminar |
Instability Detection
At \(\nu = 0.001\) (Re = 1000), the S score goes negative at step 299 out of 500, detecting the onset of instability well before the solution develops a blow-up. At all laminar viscosities (\(\nu \geq 0.05\)), the S score remains at 1.000 throughout the entire simulation.
Laminar vs Turbulent Comparison
| Diagnostic | Laminar (\(\nu = 0.1\)) | Turbulent (\(\nu = 0.001\)) |
|---|---|---|
| I-ratio | \(-1.3 \times 10^{-10} \approx 0\) | 0.322 |
| S score | 1.000 | -0.102 |
| \(|I + 0.5|\) | 0.500 | 0.822 |
| Force balance | Diffusion dominates; advection negligible | Advection dominates; forces imbalanced |
In the laminar regime, diffusion overwhelms advection so completely that the I-ratio approaches zero (diffusion-dominated equilibrium). In the turbulent regime, advection forces are significant and the I-ratio is strongly positive, reflecting force imbalance.
Analysis
- Force balance characterises regime. The I-ratio provides a single scalar that cleanly separates laminar (\(I \approx 0\), forces in diffusive equilibrium) from turbulent (\(I \gg 0\), advection-dominated imbalance) flow in this 1D model.
- S score as early warning. The S score goes negative at step 299 for the turbulent case, well before the velocity field develops sharp gradients. This suggests the convergence diagnostic can serve as an early-warning indicator for solution regularity loss.
- Transition is gradual. At Re = 100 (\(\nu = 0.01\)), the I-ratio is slightly negative (\(-0.073\)) and S = 0.803, consistent with a transitional regime where diffusion still partially controls the dynamics.
- Connection to smoothness. In the NS existence and smoothness problem, the key question is whether solutions remain smooth for all time. Here, the S score going negative correlates with the onset of steep gradients (proto-singularities in the Burgers context). This is suggestive but not a proof of anything about the 3D incompressible Navier-Stokes equations.
Conclusion
The I-ratio framework extends naturally to advection-diffusion PDEs. In the viscous Burgers equation, the force balance between advection and diffusion — quantified by the I-ratio — provides a clean diagnostic for the laminar-turbulent transition. The S score detects instability onset before the solution develops steep gradients. These results offer a new gradient-based diagnostic perspective on the smoothness question, but they are limited to a 1D model PDE and do not address the 3D Navier-Stokes existence and smoothness problem.
Reproducibility
../simplex/build/sxc exp_navier_stokes.sx -o build/exp_navier_stokes.ll
OPENSSL_PREFIX=$(brew --prefix openssl)
clang -O2 build/exp_navier_stokes.ll \
../simplex/runtime/standalone_runtime.c \
-o build/exp_navier_stokes \
-lm -lssl -lcrypto -L${OPENSSL_PREFIX}/lib
./build/exp_navier_stokes
Related
- Conjecture 11.1 — I-ratio as flow regularity diagnostic
- Navier-Stokes existence and smoothness (Clay Mathematics Institute Millennium Problem)
- Burgers, J. M. (1948) — A mathematical model illustrating the theory of turbulence
- I-Ratio Theorem — \(I = -0.5\) iff equilibrium
- Chaos Boundary Experiment — related dynamical systems diagnostics