Visualization of the integrability of a Pfaffian system

Coming from exterior derivative. To summarize, dω is a measure of how dislocated/misaligned are the (nk)-planes represented by ω.

The condition dPP for a completely integrable Pfaffian system can be visualized in the following way:

Case 1: a 1-form in R3

In 3D, you have two possibilities for integrability:
1. Closed 1-form, dω=0.
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We can glue the planes given by ω=0 together.

**2. Frobenius integrable 1-form, dωω=0
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When ωdω=0, the honeycomb structure (recall that it is a 2-form) corresponding to dω has walls such that the local sheets ω=0 are linear combination of those walls. So we can "correct" the planes to absorb the edges of the honeycomb structure (with an integrating factor μ). That is you use a single scalar function μ to separate the sheets of a single 1-form into the differential of a function: μω=df.

Case 2: a pair ω1,ω2 of 1-forms in R3

It is always integrable, by pure algebra:

dωiω1ω2=0.

Visually, it works like this:
In case I have two 1-forms, ω1,ω2, and we can see (both analytically and visually) that

dω1=α11ω1+α12ω2dω2=α21ω1+α22ω2

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Analytically is not difficult to show that we can find μij such that d(ω~i)=d(jμijωj)=0. That is, we can create two combinations of ω1,ω2 such that they are locally exact.
But we want to see, in the same way that case 1 above, how ω1,ω2 are distorted to ω~1,ω~2 in such a way that d(ω~1)=d(ω~2)=0.
For example, we can imagine that we add ω1 together with a multiple of ω2 to obtain a new 1-form ω~1=ω1+kω2 whose planes are parallel to the lines dω1, since the addition of ω2 is kind-of rotating around ω1ω2. Even more, we can get dω~1 to correspond to lines parallel to the planes of ω~1 with an appropriate choice of the function k:

ω~1dω~1=(ω1+kω2)(dω1+dkω2+kdω2)=[dkα12+k(α11α22)+k2α21]ω1ω2

This means that for ω~1dω~1=0, the 1-form inside the brackets must live entirely in the algebraic span of ω1 and ω2:

dkα12+k(α11α22)+k2α210(modω1,ω2)

This is a Riccati partial differential equation for the shifting function k, which always has solution, locally. So by adding kω2 to ω1 we unroll ω1 to obtain the 1-form ω~1 whose dislocation lines are parallel to the planes ω1. Now we can proceed as in Case 1 above. And the same for ω2

Case 3: a pair ω1,ω2 of 1-forms in R4

In 4D, because we are dealing with a 2-form ideal ω1,ω2, the scalar integrating factor upgrades to a matrix of integrating factors.
Instead of just rescaling each form individually, we are allowed to mix them together. The algebraic equivalent of absorption here means we can find four smoothly varying functions μ11,μ12,μ21,μ22 (forming an invertible matrix) and two independent coordinate functions f1 and f2 such that:

df1=μ11ω1+μ12ω2df2=μ21ω1+μ22ω2

Or, in matrix notation:

(df1df2)=(μ11μ12μ21μ22)(ω1ω2)

What Does This Mean Geometrically?
This matrix transformation completely redefines how we "see" the glued surfaces.

  1. From 1-Forms to Exact Coordinates
    By multiplying by this matrix, we have swapped out our rough, twisting, disjointed local 1-forms ω1 and ω2 for two perfect, globally well-behaved functions, f1 and f2.

  2. The Intersecting Hyper-sheets
    In 3D, the solution to df=0 is a 2D surface (f=constant).
    In 4D:

  1. The Glued 2D Surfaces
    The 2D surfaces you wanted to glue together are the intersections of these two families of hyper-sheets.

At any point in 4D space, the slice where f1=c1 AND f2=c2 yields a perfect, smooth 2D surface. Because f1 and f2 are exact derivatives, these 2D surfaces stack together beautifully throughout R4 without a single dislocation or defect line anywhere.

The Visual of "Matrix Absorption"

Think of ω1 and ω2 as two separate, poorly aligned grids of 3D hyper-sheets, both full of dislocation planes (the dωi honeycombs) preventing them from passing smoothly through one another.

The diagonal terms of the matrix (μ11 and μ22) act like the 3D integrating factor—they pack and unpack the individual hyper-sheets to match densities. The off-diagonal terms (μ12 and μ21) physically tilt and bend the hyper-sheets of ω1 using the shape of ω2 (and vice versa).

Because the defects are parallel to the distribution (dωiω1ω2=0), this simultaneous packing and tilting perfectly "combs" out all the wrinkles. The two sets of hyper-sheets slip into a flawless, rigid 4D grid, and their 2D intersections line up to form the integrated 2D surfaces.

Would you like to see how this matrix absorption plays out with a concrete algebraic example in 4D, or should we look closer at the geometry of how these 3D hyper-sheets intersect?

Related: For visualization of planes, hyperplanes and lines in R4, I made this webpage.