Matrix spline simplification

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On the APIC paper page 6 under equation 11 the paper states that the spline weights for quadratic and cubic splines simplify for their formulation of $D$ such that:

$$D = \frac{1}{4}\Delta x I$$

$$D = \frac{1}{3}\Delta x I$$

For quadratic and cubic respectively.

How??? I have tried doing the arithmetic on paper and I am not sure which subsititution they are using.

I may be doing something wrong but let $(x_i - x_c)$ be labeled $\Delta x$:

Let's assume our distances are small so that our spline kernel evaluates on the first part of the spline only.

$$w_{ij}\Delta x \Delta x^T = (\frac{3}{4} - \Delta x ^ 2)\Delta x \Delta x^T$$

So the first row would be $(\frac{3}{4} - dx^2 - dy^2 -dz^2)(dx^2, dxdy, dxdz)$

So if the claim is correct we expect $\frac{3}{4} - dx^2 - dy^2 -dz^2(dxdy) = 0$ let's try expanding that out:

$$\frac{3}{4}dxdy - dx^2dxdy - dy^2dxdy -dz^2dxdy$$

That in no way shape or form looks like ti will cancel out down to 0 in the general case. so how did the authors reach such a nice theorem?