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Forbidden Directions: Exact Magnetic Laws and Estimator Limits

A holonomy growth law and exact magnetic identities hold under stated assumptions. Matched estimator comparisons favour standard fits, and a purported magnetospheric null census fails its domain audit.

By Igor Moiseev · 5 August 2026
The Geometry of Forbidden Directions
  1. Forbidden Directions: Exact Magnetic Laws and Estimator Limits ← you are here
  2. The Magnetic Contact Geometry: Larmor Motion Is Heisenberg
  3. Reading the Field Gradient from the Caustic
  4. Finding Magnetic Nulls with a Growth Vector
  5. The Null Gallery: Grounding the Estimator in the Real Sun
  6. The Transition State: Reading a Null Collision from One Point
  7. The Litmus Tests: What Survived Our Own Review
  8. Jupiter's Buried Skeleton: The Polar Patch as a Combination of Separatrices
Appendices — theory background (5)
  1. D1. Connections, Holonomy, and Curvature
  2. D2. The Selection Rule: Why Anisotropic Transport Isn't Sub-Riemannian
  3. D3. The Law Q = d + k + 2, Derived
  4. D4. The Magnetic Geodesic Flow and Its Conjugate Locus
  5. D5. The Nilpotent-Deviation Gradient Formula

Results and scope. Holonomy lifts yield the growth identity $Q=d+k+2$ under the stated finite-order assumptions. Exact magnetic identities and tested profile corrections hold under their stated assumptions; growth-vector null confirmation has not outperformed standard detection or classification.

Admissible motion. Sub-Riemannian geometry models directions that cannot be followed directly but can be reached by combining allowed motions. Anisotropic coefficients alone, including slow cross-field diffusion, define a Riemannian model. The selection rule distinguishes these cases.

Scope of the construction.

If a physical environment carries a connection whose curvature is a physical field, it carries genuine sub-Riemannian geometry — and then the geometry reads that field off: the growth vector gives the field’s vanishing order, the ball–box exponents give the cost of accumulating holonomy, and the caustic gives a profile-calibrated combination of the field’s gradient and profile curvature — $(1-\tfrac34\beta)|\nabla\ln B|^2$ at leading order for one-dimensional profiles (Part 3, article §4).

(One direction only: sub-Riemannian geometry also arises without any field — rolling, parking, the falling cat — so the field-curvature environments are a class of SR geometries, not the definition of them.)

A connection1 is a rule for carrying a quantity along a path; its curvature is the mismatch you accumulate around a loop — the holonomy. For a magnetic field, the connection is the vector potential $\mathbf A$, the curvature is $\mathbf B$, and the holonomy is the magnetic flux $\varphi = \oint \mathbf A\cdot d\boldsymbol\ell$ you sweep. Adjoin that flux to position as an extra coordinate, and moving in the flux direction becomes forbidden except by going around a loop. That is the sub-Riemannian structure this program studies.

The selection rule

The construction requires a constraint on admissible motion. Most anisotropic transport models do not meet this condition.

Environment What the structure is Sub-Riemannian?
Cross-field transport, $D_\perp \ll D_\parallel$ coefficient anisotropy ✗ — anisotropic Riemannian, still $Q = n$
The limit $D_\perp \to 0$ rank-1 distribution ✗ — integrable (field lines), no bracket
Anisotropic media, birefringence Finsler metric ✗ — $Q = n$
Gravitational structure formation a flow, no control system ✗ — no distribution at all
Magnetic field connection $\mathbf A$, curvature $\mathbf B$ ✓ — contact where $\mathbf B \neq 0$
Rotating frame (Coriolis) connection, curvature $2\boldsymbol\omega$ ✓ — uniform rotation is Heisenberg
Berry connection Berry curvature ✓ — but degeneracies diverge, a distinct regime

The diagnostic that separates the rows is the homogeneous dimension $Q$, the exponent in how a small ball grows, $\mathrm{vol}\,B(r)\sim r^{Q}$ — that formula holds where the structure is regular; at the singular points themselves (the nulls) $Q$ is defined through the dilation weights, and whether the ball volume obeys the same exponent there is an open question (Appendix D3). A Riemannian space (however anisotropic) has $Q$ equal to its ordinary dimension $n$. A genuinely sub-Riemannian space has $Q > n$ — it is “bigger than it looks” because the forbidden direction is expensive to reach. Slow directions do not raise $Q$; forbidden directions do. Why this matters so much — and why a gravitational caustic can counterfeit $Q > n$ at a single point without being sub-Riemannian — is the subject of Appendix D2.

The law: Q = d + k + 2

The program’s central organising identity — a two-line dimensional count under the assumptions below, verified numerically wherever the program has probed it. Adjoin the holonomy $\varphi$ to a $d$-dimensional space; then wherever the curvature (field) vanishes to order $k$,

\[\boxed{\,Q \;=\; d \;+\; k \;+\; 2\,}\]

Each term is one physical idea. The $d$ spatial directions are drivable directly (weight one each). The flux coordinate $\varphi$ is not — you accumulate it only by enclosing area, and flux is area-like: a loop of size $r$ encloses area $\sim r^2$ and catches flux $\sim B\,r^2$. Where the field is ordinary that makes $\varphi$ a weight-2 coordinate (the “$+2$”); where the field vanishes to order $k$, the same loop catches only $\sim r^k\cdot r^2$, so $\varphi$ costs even more — weight $k+2$ (the “$+k$”). The figure makes the area argument visible.

Why the flux coordinate is area-like. A charged particle drives a loop; the shaded region is the area it encloses, and the meter is the magnetic flux $\varphi = B \times \text{area}$ it accumulates — the "forbidden" third coordinate, reached only by going around. Because area grows as (loop size)$^2$, flux is a weight-2 coordinate, giving $Q = d + 2$. Near a null the field is weak in the loop's interior, so the same loop catches far less flux (fainter shading): the coordinate costs more to reach — weight $k+2$ — and $Q$ rises to $d + k + 2$. Schematic; the measured exponents are in Part 2.

Positive results and their scope

The numerical results and derivations are recorded in the experiment reports.

Result Question Verdict
The law (2D) Is $Q = d+k+2$ real? ✓ confirmed, orders $k=0,1,2,3$: exponents $2,3,4,5$
The moduli Does the caustic read $\nabla B$? ✓ confirmed on the exponential profile: $\delta = -\varepsilon^2 + O(\varepsilon^4)$, $\varepsilon = \lvert\nabla\ln B\rvert\,r_L$ — with a later-derived qualifier: the leading coefficient is profile-dependent, $c_2 = 1-\tfrac34\beta$ in general (Part 3, article §4)
The law (3D) Does $Q = k+5$ hold in 3D? ✓ confirmed; the growth vector jumps $5\to6$ at a null
Null detection Does it agree with the standard finder? ✓ on an analytic solenoidal test field (location + order); on real extrapolations the raw-grid read needs the super-pixel scale window, and the tangent-cone $Q$ is a consistency check, not an independent detection (Part 4)

Three cases specify the scope. Uniform magnetic motion is exactly the Heisenberg group — a classical identification (it is the isoperimetric/magnetic model in Montgomery’s book), stated here because the whole program leans on it: the Larmor orbit of a charged particle is a sub-Riemannian geodesic, and the flux it sweeps is the Heisenberg group’s third coordinate. The caustic measures the field gradient: the deviation of the refocusing pattern from the flat model scales as the square of the dimensionless gradient — with unit coefficient on the exponential profile, and with the calibration $(1-\tfrac34\beta)$ for general one-dimensional profiles — invertible as a leading-order estimator once that profile factor is supplied (Part 3, and the companion article’s §4). And the growth vector indexes magnetic nulls: it sits at $Q = d+2$ almost everywhere and pops up by exactly $k$ on the measure-zero set where the field vanishes to order $k$ — a curvature-degeneracy meter in principle; what “detection” costs on real data is tested in Parts 4 and 5.

Negative results

The growth vector confirms the order of sampled nulls at locations supplied by a standard finder. It does not distinguish radial from spiral type. An integrated classifier works on the synthetic battery, but a fitted field Jacobian is more robust in the matched noise comparison. Likewise, a scale-crossover estimate of pair separation loses to a polynomial fit and root finding by one to four orders of magnitude. Null classification; matched estimator race.

The T96 magnetospheric census’s physical interpretation was withdrawn: all 70 audited core-box roots lie outside the model’s own magnetopause, and no interior null was found at the seven tested IMF values. These are structures of a model continuation, not observed magnetospheric nulls. A solar-emergence sequence also did not capture a fold birth. Domain audit and collision tests.

The exact period-average identity for the exponential profile is a positive analytical result. Identification of that period with conjugate time remains a numerically supported conjecture. Singular-point ball-volume scaling and a general physical null detector are not established by the growth identity alone. Analytical status and results.

Glossary

References

  1. A connection is a rule for transporting a quantity (a phase, a frame, a vector) along a path so it stays “parallel”; go around a loop and you generally come back rotated or shifted — that leftover is the holonomy, and the field that causes it is the curvature. ↩