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Slope-field perturbations of the two-cylinder covering

OpenAI, 27 September 2026

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Part of family 100: Cylinder coverings below the half-area bound. Read it with its family

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Abstract

The two-cylinder covering of a regular tetrahedron can be perturbed to give finite covers with total perpendicular base area strictly below half its minimum projection area. These covers give negative answers to both the half-area question and the directionwise normalized half-bound conjecture. By affine invariance, the directionwise conclusion holds for every nondegenerate tetrahedron.

1 Introduction

The usual two-cylinder covering of a regular tetrahedron is balanced at a natural threshold: its total base area is half the tetrahedron’s smallest orthogonal projection area. We ask how the axes can vary across the two families so as to reduce this cost without leaving a gap. The answer involves two competing effects. Tilting decreases the perpendicular area of an intercept patch, but neighboring lines then need a larger patch to keep covering the tetrahedron. We construct fields for which the first decrease exceeds the second increase.

A cylinder in \R^3 is B+\R u, where u is a unit vector and B\subset u^\perp is measurable with finite planar area |B|. For a convex body K, define

A_{\min}(K)=\min_{|u|=1}|\pi_{u^\perp}K|.

Cylinder covering problems have an antecedent in plank coverings. A plank is the region between two parallel hyperplanes, and its width is the distance between them. Bang’s plank theorem states that the total width of a finite plank cover of a convex body is at least the body’s minimum width; Bezdek and Litvak study the corresponding question for cylinders [3, Introduction]. The half-area question asks whether every finite cylinder cover of K has \sum_i|B_i|\ge A_{\min}(K)/2. Bezdek records this question, and the regular tetrahedron’s equality example, as due to Bang [1, Problem 3.1]; the same attribution appears in Bezdek and Litvak [3].

There is a stronger directionwise formulation. For a finite family \mathcal C=(B_i+\R u_i)_i, its relative cost is

\mathcal R(\mathcal C;K) =\sum_i\frac{|B_i|}{|\pi_{u_i^\perp}K|}.

For finite cylinder covers, Bezdek and Litvak proved \mathcal R\ge1/3 for arbitrary three-dimensional convex bodies and \mathcal R\ge1 for ellipsoids [3, Theorem 3.1]. Bezdek and Khan’s 1-Codimensional Cylinder Covering Conjecture proposes \mathcal R\ge1/2 in dimension three [2, Definition 3 and Conjecture 4.13]. Since each denominator is at least A_{\min}(K),

\mathcal R(\mathcal C;K) \le\frac{\sum_i|B_i|}{A_{\min}(K)}. \tag{1}

Thus that conjecture implies the half-area bound. The latter question is also recorded in Verreault’s survey [7, Question 4.14].

Theorem 1.1. Every regular tetrahedron K\subset\R^3 of positive edge length admits a finite cylinder cover with compact parallelogram perpendicular bases such that

\sum_i|B_i|<\tfrac12 A_{\min}(K), \qquad \sum_i\frac{|B_i|}{|\pi_{u_i^\perp}K|}<\tfrac12.

It also admits finite covers with bounded open measurable bases satisfying both inequalities.

The directionwise conclusion extends to all tetrahedra. The reason is the affine invariance of relative cylinder cost, noted by Bezdek and Litvak [3, Section 3].

Corollary 1.2. Every nondegenerate tetrahedron T\subset\R^3 admits a finite cylinder cover \mathcal C with compact parallelogram perpendicular bases and \mathcal R(\mathcal C;T)<1/2. The same conclusion holds with bounded open measurable bases.

Proof. Translations preserve all the areas in the relative cost, so consider an invertible linear map A. For a unit vector u, put v=Au/|Au| and define the linear map between perpendicular planes

Q_u=\pi_{v^\perp}A\big|_{u^\perp}:u^\perp\longrightarrow v^\perp.

It is invertible: if Q_up=0, then Ap is parallel to Au, so p is parallel to u and belongs to u^\perp, hence is zero. The image of B+\R u has perpendicular base Q_uB, and \pi_{v^\perp}(AK)=Q_u(\pi_{u^\perp}K). The same positive planar Jacobian therefore multiplies the numerator and denominator of |B|/|\pi_{u^\perp}K|. Thus the relative cost is unchanged, and the stated base classes are preserved. Every nondegenerate tetrahedron is an invertible affine image of a regular one, so Theorem 1.1 proves the corollary.

Together with the lower bound of Bezdek and Litvak, this places the infimum relative cost of a finite cylinder cover of any nondegenerate tetrahedron in [1/3,1/2). The absolute half-area inequality in Theorem 1.1 concerns regular tetrahedra; the affine argument preserves each directionwise ratio.

The absolute inequality follows already from the rational field in Section 2; (1) gives the relative inequality for that same cover. The subsequent constructions explain two further ways to preserve the overlap. They have different local geometry and different behavior at the apex, even though they lead to the same strict comparison.

Here is the common construction. A point p=(p_1,p_2) in a planar label set specifies a segment

\bigl(s,p_1+sV_1(p),h(p_2+sV_2(p))\bigr),\qquad |s|\le L,

where h>0 is a fixed physical scale and V(p) is its slope. Freezing that slope on an intercept patch of parameter area A gives perpendicular area

\frac{hA}{\sqrt{1+V_1(p)^2+h^2V_2(p)^2}}.

The scalar product of the unit normals of the intercept plane \{x=0\} and the plane perpendicular to (1,V_1(p),hV_2(p)) gives this projection factor. It suggests an integral cost for a continuously varying family, but does not by itself produce a finite cover. The companion article Finite cylinder approximation of ruled sets [6, Theorem 1.2] provides a finite square-tile realization for a compact label set D and a field V that is C^1 on a neighborhood of D and satisfies \operatorname{tr}DV=0 and -L^{-2}<\det DV\le0. This one construction includes opposite nonzero real eigenvalues within the strict length bound and square-zero differentials with unrestricted shear. Its weights use the original velocity coordinates, and physical base area includes the factor h. To obtain a prescribed physical area error e, we use weighted tolerance e/h in the theorem. We check the relevant conditions only after fixing the field’s regularization or cutoff.

The rational field is derived from a stream function constant on the two walls of a wedge. A positive denominator makes it smooth at the apex, while wall tangency makes the tilted straight-line maps preserve the wedge. The labels assigned to a point by the two complementary families move in opposite directions to first order. A quartic enlargement of the label domains leaves a nonnegative square as their second-order overlap surplus. Its area costs less than the projection gain. We prove coverage both by comparing two failed inverse labels and, independently, by locating monotone height thresholds.

The singular power field changes the radial homogeneity. Its derivative is hyperbolic away from the apex; a cutoff is chosen so that the differential remains small while two tip cylinders cost less than the quadratic gain. At the limiting exponent, this field becomes the angular field with square-zero differential. That endpoint is handled without a small-shear estimate. It cannot be defined at its apex by continuity. We remove the apex before applying the companion theorem and then cover the omitted angular segments by a finite velocity net.

Section 2 supplies the first complete construction, including the strict cost comparison and its finite realization. Section 3 gives the independent threshold proof. Section 4 relates two coordinate forms of the rational field and applies the distinct logarithmic-cell and product-cell approximation theorems. Sections 5 and 6 develop the singular and square-zero constructions. The reference area is first computed by projecting entering faces. Appendix A gives two further explanations, through the second moments of a normal frame and the derivative of translated overlap volume.

2 A rational field and two choices of padding

The equality configuration for the regular tetrahedron uses two edge-parallel cylinders. We tilt their axes by a smooth field and slightly enlarge their parameter domains. The enlargement must be large enough to preserve coverage but small enough to be paid for by the decrease in perpendicular projection area. The construction below makes this comparison explicit.

Put h=1/\sqrt2 and use the regular edge-one tetrahedron

K_1=\{(x,y,ht):-\tfrac12\le t\le\tfrac12, \ |x|\le(\tfrac12+t)/2,\ |y|\le(\tfrac12-t)/2\}. \tag{2}

Throughout this section write K=K_1. Its minimum orthogonal projection area is h/2. We verify this using Cauchy’s projection formula for polytopes, obtained by taking support functions in the projection-body representation [5, equation (1), p. 83, and Section 3]. Its volume is h/6, by integration of the rectangular horizontal sections, and its diameter is one. For a unit vector u, let d_i be the derivatives in direction u of its four affine barycentric coordinates. Projecting the entering faces of the tetrahedron gives

|\pi_{u^\perp}K|=3\operatorname{vol}(K)\sum_{d_i>0}d_i.

Indeed the inward normal component on the face opposite vertex v_i is d_i times that face’s altitude; the projected entering faces partition the shadow except along projected edges. Write s=\sum_{d_i>0}d_i. Since \sum_i d_i=0 and u=\sum_i d_i v_i, the vector u/s is a difference of two convex combinations of the vertices. The diameter bound gives s\ge1. An edge direction has barycentric derivatives 1,-1,0,0, proving A_{\min}(K)=h/2.

The equality cover can now be specified explicitly. In the label plane with coordinates (Y,T), put

D_0=\{(Y,T):0\le T\le\tfrac12, 2|Y|\le\tfrac12-T\}.

The triangle \{(0,Y,hT):(Y,T)\in D_0\}, swept parallel to the x-axis, covers the portion t\ge0. The reflected triangle \{(X,0,-hR):(X,R)\in D_0\}, swept parallel to the y-axis, covers t\le0. Each is already perpendicular to its axis and has area h\int_0^{1/2}(1/2-T)\,dT=h/8, so the total cost is h/4. This is the tetrahedral equality configuration attributed to Bang in Bezdek’s account [1, Section 3].

In the label plane with coordinates (Y,T), write r=\tfrac12-T and set

\mathcal W=\{(Y,T):r\ge2|Y|\}.

The polynomial Y^2-r^2/4 vanishes on both wedge walls. Dividing it by r produces a potential homogeneous of degree one in (Y,r), whose gradient depends only on the ratio Y/r away from the apex. Replacing that denominator by r+d smooths the common apex while retaining the wall values. Fix d>0 and, on r>-d, define

\begin{align*} \psi(Y,T)&=\frac{Y^2-r^2/4}{4(r+d)}, & W_d=(a,b)&=(-\psi_T,\psi_Y),\tag{3}\\ a(Y,T)&=-\frac{Y^2}{4(r+d)^2} -\frac{r(r+2d)}{16(r+d)^2}, & b(Y,T)&=\frac{Y}{2(r+d)}. \tag{4}\end{align*}

The standard stream-function form makes the divergence zero and the constant value of \psi on either wedge wall makes the field tangent to that wall. We use the straight-line maps p\mapsto p+\epsilon xW_d(p), not a flow of W_d. The exact derivative identities needed later are

\operatorname{tr}DW_d=0,\qquad \det DW_d=-\frac{d^2}{16(r+d)^4}. \tag{5}

For example, the YY,Yr,rr derivatives of \psi are 1/[2(r+d)], -Y/[2(r+d)^2], and (Y^2/2-d^2/8)/(r+d)^3. Their determinant is the one displayed; replacing r by \tfrac12-T preserves it.

At the dividing level T=0, put

\begin{align*} \alpha&=\frac1{1+2d},& c(Y)&=c_0+c_2Y^2=-a(Y,0),\\ c_0&=\frac{(1/2)(1/2+2d)}{16(1/2+d)^2},& c_2&=\frac1{4(1/2+d)^2},& P(Y)&=\alpha c(Y)Y^2. \tag{6}\end{align*}

Thus b(Y,0)=\alpha Y. For a positive tilt \epsilon and a positive padding q=q(\epsilon), use the compact label domain

D_{\epsilon,q}=\{(Y,T)\in\mathcal W:T\ge-\tfrac14, \ T\ge-\epsilon^2P(Y)-q\}. \tag{7}

Figure 1 shows how this domain extends D_0 while retaining the wedge walls.

Figure 1: Schematic intercept domain for the first family. The blue triangle is the unperturbed domain D_0; the red strip extends it below T=0. The padded lower boundary ends at the unchanged wedge walls. Its actual equation is T=-\epsilon^2P(Y)-q; the padding is exaggerated here, and the walls continue below the displayed portion.

The two swept sets are

\begin{align*} S_+&=\{(x,Y+\epsilon xa(Y,T),h(T+\epsilon xb(Y,T))): (Y,T)\in D_{\epsilon,q},\ |x|\le\tfrac12\},\\ S_-&=\{(X-\epsilon ya(X,R),y,-h(R-\epsilon yb(X,R))): (X,R)\in D_{\epsilon,q},\ |y|\le\tfrac12\}. \tag{8}\end{align*}

For one family, the weighted parameter area is

C_d(\epsilon,q)=h\int_{D_{\epsilon,q}} \frac{dY\,dT}{\sqrt{1+\epsilon^2(a^2+h^2b^2)}}. \tag{9}

This is the quantity in the finite-approximation theorem: the factor h comes from the label plane’s physical scale, and the square-root factor from its orthogonal projection perpendicular to the local line direction.

Proposition 2.1. Fix d>0 and a positive function q(\epsilon) such that q(\epsilon)=O(\epsilon^2) and \epsilon^3=o(q(\epsilon)) as \epsilon\downarrow0. For all sufficiently small \epsilon>0,

K\subset S_+\cup S_-.

Moreover, with

D_0=\mathcal W\cap\{T\ge0\},\quad J_d=\int_{-1/4}^{1/4}P(Y)\,dY,\quad I_d=\frac12\int_{D_0}(a^2+h^2b^2)\,dY\,dT,

one has

\frac{C_d(\epsilon,q)}h =\frac18+\epsilon^2(J_d-I_d)+\frac q2+O(\epsilon^4). \tag{10}

The remainder constant may depend on d and on a fixed bound for q/\epsilon^2. The coverage threshold may also depend on the rate at which \epsilon^3/q tends to zero. Finally,

\lim_{d\downarrow0}J_d=\frac{16}{15360},\qquad \lim_{d\downarrow0}I_d=\frac{17}{15360}. \tag{11}

We first establish coverage, including the wedge walls. We then compare the area added to the label domain with the area saved by tilting the axes. Keeping d fixed throughout these two arguments is essential: the limiting field at d=0 is used only to evaluate coefficient limits.

2.1 Inverting the tilted maps

We first obtain inverse labels anywhere in the wedge; the next subsection tests their lower-boundary inequalities. For fixed d, both W_d and DW_d are bounded on the entire wedge. For |x|\le\tfrac12, consider

F_x(Y,T)=(Y,T)+\epsilon xW_d(Y,T).

We claim that F_x maps \mathcal W onto itself for all sufficiently small \epsilon, uniformly in x. The same statement holds with -\epsilon.

The wall functions r/2\pm Y change by \epsilon x(-b/2\pm a). Each latter expression vanishes on the corresponding wall and has bounded Y-derivative. Moving horizontally from that wall gives

|-b/2\pm a|\le C_d(r/2\pm Y)\quad\text{on }\mathcal W.

For small \epsilon, therefore, each wall function retains its sign and vanishes precisely on the same wall. The interior maps into the interior and the boundary into the boundary. Also

\det DF_x=1+\epsilon^2x^2\det DW_d>0

uniformly on the wedge, so the image of its interior is open by the inverse function theorem. The image of the closed wedge is closed: a convergent sequence of images has bounded preimages because the displacement is bounded, and hence has a convergent subsequence of preimages in the wedge. Boundary points cannot map to the interior. Consequently the interior image is also closed relative to the connected wedge interior. It is nonempty, so it is the whole interior; closedness supplies the boundary. This proves the claim.

2.2 Why the two families leave no gap

For (x,y,ht)\in K, both (y,t) and (x,-t) lie in \mathcal W. The preceding surjectivity supplies wedge labels satisfying

\begin{align*} y&=Y+\epsilon xa(Y,T),&t&=T+\epsilon xb(Y,T),\\ x&=X-\epsilon ya(X,R),&-t&=R-\epsilon yb(X,R).\end{align*}

If either label belongs to D_{\epsilon,q}, the point is covered. Suppose both labels fail. Since P and q are nonnegative, this forces T,R<0. Boundedness of W_d first gives |t|,|T|,|R|=O(\epsilon) and Y=y+O(\epsilon), X=x+O(\epsilon). All remainders below are uniform over K. Since b(Y,0)=\alpha Y,

T=t-\epsilon\alpha xy+O(\epsilon^2),\qquad R=-t+\epsilon\alpha xy+O(\epsilon^2).

Their sum is O(\epsilon^2) and both are negative, so separately T,R=O(\epsilon^2). The smooth formulas now give

\begin{align*} Y&=y+\epsilon xc(y)+O(\epsilon^2),& X&=x-\epsilon yc(x)+O(\epsilon^2),\\ b(Y,T)&=\alpha y+\epsilon\alpha xc(y)+O(\epsilon^2),& b(X,R)&=\alpha x-\epsilon\alpha yc(x)+O(\epsilon^2).\end{align*}

Thus

T+R=-\epsilon^2\alpha\bigl(x^2c(y)+y^2c(x)\bigr)+O(\epsilon^3). \tag{12}

The choice of P is explained by the exact identity

P(x)+P(y)-\alpha\bigl(x^2c(y)+y^2c(x)\bigr) =\alpha c_2(x^2-y^2)^2\ge0. \tag{13}

Replacing x,y by X,Y in P changes it by O(\epsilon). Equation (12) therefore gives

T+R\ge-\epsilon^2(P(X)+P(Y))-C\epsilon^3.

The cutoff at -1/4 cannot fail when T,R=O(\epsilon^2). Failure of both remaining domain inequalities would give instead

T+R<-\epsilon^2(P(X)+P(Y))-2q.

This contradicts \epsilon^3=o(q). The two families therefore cover all of K, including the boundary points handled by the inverse maps.

2.3 The area comparison and finite choices

We now prove the cost assertions in Proposition 2.1. The unperturbed label domain D_0 has area 1/8. For |Y|\le1/4, the added interval below T=0 has length exactly \epsilon^2P(Y)+q for small \epsilon. Outside that interval of Y-values, both the width and depth of the added portion are O(\epsilon^2), because q=O(\epsilon^2) and P is bounded on |Y|\le3/8. Hence

|D_{\epsilon,q}|=\frac18+\epsilon^2J_d+\frac q2+O(\epsilon^4).

The field is bounded on these domains. Taylor expansion of the integrand in (9) has uniform remainder O(\epsilon^4), and replacing the domain of its quadratic term by D_0 changes that term by O(\epsilon^4). This proves (10) with its stated remainder.

For the coefficient comparison we may now let d\downarrow0. On T=0 one has P(Y)\to(1/16+Y^2)Y^2, giving

J_d\longrightarrow\int_{-1/4}^{1/4}(Y^2/16+Y^4)\,dY =\frac1{960}.

On D_0, write z=Y/r away from the apex. Then |z|\le1/2, a\to-(1/16+z^2/4) and b\to z/2. The fields are uniformly bounded there for d>0, so bounded convergence and dY\,dT=r\,dz\,dr yield

I_d\longrightarrow\frac12\int_0^{1/2}r\,dr \int_{-1/2}^{1/2} \left[\left(\frac1{16}+\frac{z^2}4\right)^2 +\frac12\left(\frac z2\right)^2\right]dz =\frac{17}{15360}.

This completes the proof of Proposition 2.1.

There are two useful parameter schedules. First choose d>0 with \Delta_d=I_d-J_d>0. For vanishing padding, take q=\epsilon^{5/2}; then

C_d(\epsilon,\epsilon^{5/2})/h =\frac18-\Delta_d\epsilon^2+o(\epsilon^2)<\frac18

for all sufficiently small positive \epsilon. For fixed quadratic padding, choose \eta>0 with \eta/2<\Delta_d, keep it fixed, and take q=\eta\epsilon^2. In this case the sharper expression is

C_d(\epsilon,\eta\epsilon^2)/h =\frac18-(\Delta_d-\eta/2)\epsilon^2+O(\epsilon^4)<\frac18.

The parameter order is respectively d,\epsilon or d,\eta,\epsilon.

For either schedule, fix such a positive \epsilon. The label domain is compact, and the field is smooth on a neighborhood of it. The eigenvalues of D(\pm\epsilon W_d) are

\pm\frac{\epsilon d}{4(r+d)^2}.

Since d was fixed first, their magnitudes times the axial half-length 1/2 are strictly below one when \epsilon is small. Apply Theorem 1.2 of [6] with V=+\epsilon W_d for S_+, and with V=-\epsilon W_d followed by the isometry (x,y,z)\mapsto(y,x,-z) for S_-. Each application gives finitely many cylinders with cost at most C_d(\epsilon,q)+e. Choose the sum of the two errors less than h/4-2C_d(\epsilon,q)>0. Together the finite covers cover K and have total cost less than h/4=A_{\min}(K)/2. The approximation theorem gives compact parallelogram bases. Enlarging them slightly in their own perpendicular planes also gives bounded open parallelogram bases, with the total added area chosen smaller than the remaining strict slack. No mesh uniform in \epsilon is needed. Similarity scales every base area and the minimum projection area by the same factor, proving Theorem 1.1 for every positive edge length.

3 A threshold proof for fixed quadratic padding

The preceding overlap proof assumes that both labels fail and then compares their heights. For fixed quadratic padding there is a second way to locate the overlap: give an explicit sufficient height for each family. This also explains why the same quartic polynomial appears in both constructions.

Fix d,\eta>0 and take q=\eta\epsilon^2 in (7). For |x|,|y|\le1/2, put

\Theta_x(y)=\epsilon\alpha xy +\epsilon^2\bigl(\alpha x^2c(y)-P(y)\bigr). \tag{14}

We prove the following sufficient condition for the first family:

(y,t)\in\mathcal W,\quad -\tfrac12\le t\le\tfrac12, \quad t\ge\Theta_x(y) \quad\Longrightarrow\quad (y,t)=F_x(Y,T)\text{ for some }(Y,T)\in D_{\epsilon,q}. \tag{15}

All bounds below are uniform in the displayed variables, with d,\eta fixed.

On the rectangle \mathcal R=[-1,1]\times[-1,\tfrac12+d/2] the field is smooth and has a finite Lipschitz constant L_d. For small \epsilon, the map

(Y,T)\longmapsto (y,t)-\epsilon xW_d(Y,T)

is a contraction of \mathcal R into itself for |y|\le1/2, -1/2\le t\le1/2. Indeed the target rectangle has positive margins inside \mathcal R, the field is bounded there, and \epsilon L_d/2<1. The inverse label therefore exists and is unique in \mathcal R. The inverse preserves the wedge directly. Indeed,

\begin{align*} -b/2+a&=-(r/2+Y)\frac{2Y+2d+r}{8(r+d)^2},\\ -b/2-a&=(r/2-Y)\frac{-2Y+2d+r}{8(r+d)^2}.\end{align*}

The displayed coefficients are bounded on \mathcal R. The target wall functions (1/2-t)/2\pm y are therefore the corresponding label wall functions r/2\pm Y multiplied by positive factors when \epsilon is small. Nonnegativity of the target wall functions implies nonnegativity of the label wall functions, including equality on either wall. Thus this inversion argument does not require the surjectivity proof in Section 2.1.

For fixed x,y, the inverse height T increases strictly with t. In fact if the target heights differ by \Delta t>0, and p,p' are their inverse labels, then

|(p'-p)-(0,\Delta t)|\le\frac{\epsilon L_d}{2}|p'-p| \le\frac{\epsilon L_d/2}{1-\epsilon L_d/2}\,\Delta t.

The last coefficient is less than one for small \epsilon. At t=\Theta_x(y), the inverse equations first give Y=y+O(\epsilon) and T=O(\epsilon). Using b(y,0)=\alpha y improves the latter bound to T=O(\epsilon^2). Consequently

Y=y+\epsilon xc(y)+O(\epsilon^2),\qquad b(Y,T)=\alpha y+\epsilon\alpha xc(y)+O(\epsilon^2),

and substitution in the height equation gives

T=-\epsilon^2P(y)+O(\epsilon^3) =-\epsilon^2P(Y)+O(\epsilon^3).

The rectangle inversion also applies at the threshold if (y,\Theta_x(y)) lies outside the wedge. Boundedness of the field on \mathcal R gives Y=y+O(\epsilon) uniformly over the entire target height interval, not only at the threshold. Thus changing from the threshold label to any of these labels changes P(Y) by O(\epsilon). Combining this bound with monotonicity gives, for all t\ge\Theta_x(y) under consideration,

T\ge-\epsilon^2P(Y)-C\epsilon^3 \ge-\epsilon^2P(Y)-\eta\epsilon^2, \qquad T\ge-\tfrac14

when \epsilon is sufficiently small. The inverse label is in the wedge, proving (15).

Applying the same argument with x replaced by -y gives a sufficient condition -t\ge\Theta_{-y}(x) for the second family. But

\Theta_x(y)+\Theta_{-y}(x) =-\epsilon^2\alpha c_2(x^2-y^2)^2\le0.

At least one of those two conditions holds for every point of K. This proves coverage again. The fixed positive \eta absorbs the uniform cubic inverse error; the area calculation in Section 2.3 then shows how small \eta must be chosen before fixing \epsilon.

4 Two coordinate forms and two finite realization methods

The rational construction already gives a finite cover with a strict area saving. We now express the same geometry in fully orthonormal coordinates and compare two other ways to obtain its finite cylinders. The coordinate change tracks the slope, quartic padding, and perpendicular area together. In these coordinates the logarithmic-cell theorem gives bounded open bases; in the centered coordinates the product-cell theorem does so under a weaker smoothness assumption. All three methods approximate the same weighted integral cost to arbitrary additive accuracy, but their hypotheses and base shapes differ.

Put c_*=1/\sqrt2 and

K_0=\{(x_0,y_0,z_0):0\le z_0\le2, |y_0|\le c_*z_0,\ |x_0|\le c_*(2-z_0)\}. \tag{16}

It is a regular tetrahedron of edge 2\sqrt2. For a fixed d_0>0, define on s>-d_0

\begin{align*} g(s)&=\frac{1+d_0}{s+d_0},\\ v_1(u,s)&=c_*^2s g(s)+\tfrac12(c_*^2s^2-u^2)g'(s), &v_2(u,s)&=u g(s). \tag{17}\end{align*}

This is the stream-function field associated with g(s)(u^2-c_*^2s^2)/2. In particular it is tangent to u=\pm c_*s. Let

\begin{align*} A_0&=c_*^2\left(1-\frac1{2(1+d_0)}\right),& B_0&=\frac1{2(1+d_0)},\\ a_0(u)&=A_0u^2+B_0u^4=u^2v_1(u,1),\tag{18}\\ U_k&=\{(u,s):0\le s\le3/2, |u|\le c_*s, s\le1+k^2(a_0(u)+\eta_0)\},\end{align*}

where \eta_0>0 will be fixed before the tilt k>0. For |r|\le2c_*, write F_r(p)=p+rk v(p). The two swept sets are

\begin{align*} E_1&=\{(x_0,y_0,z_0):|x_0|\le2c_*, (y_0,z_0)\in F_{x_0}(U_k)\},\\ E_2&=\{(x_0,y_0,z_0):|y_0|\le2c_*, (x_0,2-z_0)\in F_{-y_0}(U_k)\}. \tag{19}\end{align*}

Proposition 4.1. Let \ell=1/(2\sqrt2) and define the Euclidean similarity

\Phi(x_0,y_0,z_0)=(-\ell x_0,\ell y_0,\ell(1-z_0)).

Then \Phi K_0=K_1, and the two sets in (19) are carried exactly to the two sets in (8) with

d=d_0/2,\qquad \epsilon=4(1+d_0)k, \qquad q=\eta_0 k^2/2. \tag{20}

In particular q=\eta\epsilon^2 where \eta=\eta_0/[32(1+d_0)^2]. All perpendicular areas are multiplied by 1/8.

Proof. Write (Y,T)=(\ell u,(1-s)/2), so r=s/2. Substitution into (4) gives

v_1(u,s)=-4(1+d_0)a(Y,T),\qquad v_2(u,s)=2\sqrt2(1+d_0)b(Y,T). \tag{21}

At s=1, these identities and \alpha=(1+d_0)^{-1} give

P(\ell u)=\frac{a_0(u)}{32(1+d_0)^2}.

Consequently the last inequality defining U_k is exactly T\ge-\epsilon^2P(Y)-q, and s\le3/2 is T\ge-1/4. The wedge inequalities correspond as well. For the first family, x=-\ell x_0 converts its two coordinate equations into y=Y+\epsilon x a(Y,T) and t=T+\epsilon x b(Y,T). For the second, take (X,R)=(-\ell u,(1-s)/2) and use that a is even and b is odd in the first coordinate. This gives precisely the second equation in (8). The bounds on the free coordinate become |x|,|y|\le1/2. Finally, \Phi is an isometry followed by dilation by \ell; it multiplies every perpendicular area by \ell^2=1/8.

The monotone thresholds in Section 3 therefore give, in these coordinates, the sufficient condition

z_*\le 1+kr u+k^2\bigl(a_0(u)-r^2v_1(u,1)\bigr) \quad\Longrightarrow\quad (u,z_*)\in F_r(U_k), \tag{22}

provided 0\le z_*\le2 and |u|\le c_*z_*. The two right-hand thresholds sum to 2+k^2 B_0(x_0^2-y_0^2)^2\ge2. Thus the exact transformation preserves both the bounded contraction argument and the nonnegative overlap surplus, including the wedge walls.

4.1 Logarithmic-cell realization of the fixed-padding cover

For the field (17), direct differentiation gives

\tr Dv=0,\qquad \det Dv=-c_*^2\left(\frac{(1+d_0)d_0}{(s+d_0)^2}\right)^2<0. \tag{23}

The determinant simplification uses gg''/2=(g')^2. For fixed d_0, the field is C^2 on an open rectangle containing U_k for every sufficiently small k. The boundary of U_k has area zero, since it lies in finitely many lines and a polynomial graph. The strict spectral condition 2c_* k\sqrt{-\det Dv}<1 also holds there for small k. These are exactly the hypotheses of Corollary 4.4 of [6]. It supplies finite covers of each set in (19) with bounded open measurable bases, at cost arbitrarily close from above to

J_k=\int_{U_k}(1+k^2|v(u,s)|^2)^{-1/2}\,du\,ds. \tag{24}

The second application uses -v and an isometry.

The exact cost comparison can also be checked in these coordinates. Put U_0=\{0\le s\le1, |u|\le c_*s\}, of area c_*. The same strip calculation as in Section 2.3 gives

J_k=c_*+k^2\left\{ \int_{-c_*}^{c_*}(a_0(u)+\eta_0)\,du -\tfrac12\int_{U_0}|v|^2\right\}+O(k^4). \tag{25}

For fixed d_0,\eta_0, the added horizontal and vertical extensions are O(k^2); their product is the fourth-order boundary remainder. Letting d_0\downarrow0 only in the coefficient integrals, and setting u=sb, gives

\begin{align*} \tfrac12\int_{U_0}|v|^2&\longrightarrow \frac14\int_{-c_*}^{c_*} \left[\frac{(c_*^2+b^2)^2}{4}+b^2\right]db =\frac{c_*^3}{6}+\frac{7c_*^5}{30},\\ \int_{-c_*}^{c_*}a_0(u)\,du&\longrightarrow\frac{8c_*^5}{15}.\end{align*}

Bounded convergence is valid because |u|\le c_*s bounds the fields uniformly for 0<d_0<1. The first limit exceeds the second by c_*^3/60>0. Choose d_0>0 such that the actual difference

\Delta(d_0)=\tfrac12\int_{U_0}|v|^2 -\int_{-c_*}^{c_*}a_0(u)\,du

is positive. Then choose 0<\eta_0<\Delta(d_0)/(2c_*), and finally k small. Formula (25) gives J_k<c_*. Only then choose the two finite errors with sum less than 2(c_*-J_k). The resulting finite open-base cover has cost below 2c_*=A_{\min}(K_0)/2.

The C^2 rectangle and strict spectral inequality give the open-base conclusion directly in the orthonormal (u,s) coordinates. The scaling identity gives C_d(\epsilon,q)=J_k/8, in agreement with Proposition 4.1.

4.2 Product-cell realization of the centered cover

For q=\epsilon^{5/2}, use the original centered label set D_{\epsilon,q} and the two slopes V=\pm\epsilon W_d. The set is compact with area-zero boundary, V is C^1 on an open neighborhood, and DV has eigenvalues \pm\epsilon d/[4(r+d)^2]. With M=1/2 and h=1/\sqrt2, the strict condition 0<M\lambda<1 follows after fixing d>0 and taking \epsilon sufficiently small. Therefore Theorem 4.1 of [6] gives each family a finite cover with bounded open measurable bases and cost at most C_d(\epsilon,\epsilon^{5/2})+e.

The product-cell proof chooses its padding, product threshold, and local scale in that order, exhausts the interior by disjoint cells, and covers the remaining null set before taking a finite open subcover. These approximation choices occur after the present geometric parameters are fixed. By (10), choose d with I_d>J_d, then \epsilon so that C_d<h/8, and finally the two errors with sum below h/4-2C_d. This gives the asserted open-base cover without altering either the fractional padding or the weighted physical metric. The compact parallelogram construction in Section 2.3 remains an independent finite realization of the same swept sets.

5 A singular power-law field

The rational field smooths the common tip before tilting the lines. We now keep a power-law singularity in the derivative and remove a small tip region instead. Two triangular-base cylinders cover the removed regions; their cost is smaller than the quadratic saving from the tilted families. The exponent of the power law makes both requirements compatible. We give the construction at edge length two, where the cone walls have slopes \pm1, and then state its exact edge-one form.

We use the regular tetrahedron of edge length 2,

K_2=\{(x,y,\sqrt{2}\,t):0\le t\le1, \ |x|\le1-t,\ |y|\le t\}.

The physical metric in these coordinates is dx^2+dy^2+2\,dt^2. The minimum projection area is A_{\min}(K_2)=4A_{\min}(K_1)=\sqrt2, since these regular tetrahedra are related by a similarity of ratio two. Appendix A gives two independent proofs of this normalization.

Theorem 5.1. For every

1<p<(\sqrt{51}-5)/2,\qquad 1<\gamma<1/(2-p),

all sufficiently small positive c determine a finite cylinder cover of the regular edge-2 tetrahedron K_2 above with total perpendicular base area less than \sqrt2/2. The cover consists of two finite families with compact parallelogram bases and two cylinders with compact triangular bases. Before the arbitrarily small errors needed for the two finite approximations, the area bound is

\frac{\sqrt2}{2}+2\sqrt2\,\kappa_p c^2+o(c^2), \qquad \kappa_p=\frac{(1/2)^4(2p^2+10p-13)}{30p}<0.

The asymptotic statement fixes p and \gamma first. Each finite approximation is chosen after the positive value of c is fixed.

Put a=1/2. The two cylinders obtained by splitting at t=a, with axes parallel to the x- and y-axes respectively, have total base area 2\sqrt{2}\,a^2=\sqrt{2}/2. We perturb those directions.

5.1 The field and the cutoff

Fix parameters in the order

1<p<\frac{\sqrt{51}-5}{2},\qquad 1<\gamma<\frac1{2-p},\qquad d=c^\gamma\quad(c>0). \tag{26}

The upper bound on p makes the quadratic area coefficient negative. The bounds on \gamma make the derivative of the tilted field uniformly small while keeping the tip area o(c^2). Only c will tend to zero. To obtain a field tangent to the cone walls b=\pm r, take a stream function that vanishes on both walls. Multiplying b^2-r^2 by r^{p-2} makes the stream function homogeneous of degree p, so the resulting field has degree p-1. The normalization below also gives Q(b,a)=b, which will cancel the first-order overlap terms. For r>0, define

\begin{align*} \psi(b,r)&=\frac12(r/a)^{p-2}(b^2-r^2), &V=(P,Q)&=(-\partial_r\psi,\partial_b\psi),\\ P(b,r)&=\frac a2(r/a)^{p-1} \left[p+(2-p)(b/r)^2\right], &Q(b,r)&=(r/a)^{p-2}b. \tag{27}\end{align*}

At the dividing level let

P_a(b)=P(b,a)=\frac{ap}{2}+\frac{2-p}{2a}b^2, \qquad \delta(b)=b^2P_a(b). \tag{28}

Thus \delta\ge0, Q(b,a)=b, and Q=\pm P on b=\pm r. Our compact label domain is

D_c=\{(b,r):d\le r\le2,\ |b|\le r, \ r\le a+c^2\delta(b)+c^{5/2}\}. \tag{29}

The field is smooth on r>0, and direct differentiation gives

\operatorname{tr}DV=0,\qquad \det DV=(r/a)^{2p-4}\frac{p-1}{2} \left[(2-p)(b/r)^2-p\right]<0 \quad (|b|\le r). \tag{30}

Indeed the determinant equals \det D^2\psi; the bracket is at most 2-2p<0. On this cone, \|DV(b,r)\|\le C r^{p-2}, with C depending only on the fixed parameters. Consequently

c\sup_{D_c}\|DV\|\le Cc d^{p-2} =C c^{1-\gamma(2-p)}\longrightarrow0, \qquad d^2=o(c^2). \tag{31}

Thus, for sufficiently small c, both cDV and -cDV have eigenvalues \lambda,-\lambda with 0<\lambda<1 at every label. Although no derivative bound is asserted at r=0, each fixed D_c has a neighborhood on which the field is smooth.

Write s=1-t. Consider the two sets of segments

\begin{align*} E_c^-&=\{(x,y,\sqrt{2}\,t): |x|\le1, \ (y,t)=(b,r)+cxV(b,r),\ (b,r)\in D_c\},\\ E_c^+&=\{(x,y,\sqrt{2}\,t): |y|\le1, \ (x,s)=(b,r)-cyV(b,r),\ (b,r)\in D_c\}. \tag{32}\end{align*}

We apply Theorem 1.2 of [6] with h=\sqrt{2} and L=1 to the first family with field cV. Interchanging x,y and reflecting and translating the physical height gives the second family with field -cV. Thus, for each fixed sufficiently small c and any e>0, each family has a finite cylinder cover with compact parallelogram bases and total base area at most

J(c)+e, \qquad J(c)=\sqrt{2}\int_{D_c} \frac{db\,dr}{\sqrt{1+c^2(P^2+2Q^2)}}. \tag{33}

The factor 2 multiplying Q^2 records the physical height scale.

These two applications use the companion’s single square-tile construction. For the fixed compact cutoff domain D_c, the fields \pm cV are C^1 on a neighborhood. Equations (30) and (31) give \operatorname{tr}D(\pm cV)=0 and -1<\det D(\pm cV)<0 for sufficiently small c, which is the theorem’s condition for L=1. The tile orientations may vary, but their weights use the velocities in the original (b,r) coordinates, giving (33) with the physical factor \sqrt2. No condition on the area of \partial D_c or smallness of the operator norm is required by the theorem. The separate cylinders introduced next cover the omitted tips.

We add an x-parallel cylinder with triangular base \{(0,y,\sqrt{2}\,t):0\le t\le2d,\ |y|\le t\}, and the analogous y-parallel cylinder at the upper end, obtained by projecting \{0\le s\le2d,\ |x|\le s\} to the plane y=0. Each base has area

\sqrt{2}\int_0^{2d}2r\,dr =\sqrt{2}(2d)^2. \tag{34}

5.2 Inversion, including the cone boundary

All estimates below are uniform over the points under consideration, with p and \gamma fixed. Suppose

2d\le T\le1,\qquad |B|\le T,\qquad |k_0|\le c.

We first solve

(B,T)=(b,r)+k_0V(b,r) \tag{35}

without imposing the last inequality of (29). In the closed Euclidean ball of radius T/4 about (B,T), one has 3T/4\le r\le5T/4 and |b|/r\le5/3. Formula (27) gives bounds |V|\le C T^{p-1} and \|DV\|\le C T^{p-2} throughout the ball. The map

(b,r)\longmapsto(B,T)-k_0V(b,r)

maps this ball into itself and is a contraction for all sufficiently small c, since cT^{p-2}\le c(2d)^{p-2}=o(1). Its fixed point satisfies d\le r\le2.

To prove that this fixed point lies in the cone, use the exact identities

Q(b,r)\pm P(b,r) =\frac{r\pm b}{2}(r/a)^{p-2} \left[(2-p)b/r\pm p\right]. \tag{36}

Equation (35) consequently gives

T\pm B=(r\pm b)(1+\theta_\pm),\qquad |\theta_\pm|\le Cc r^{p-2}=o(1).

The factors 1+\theta_\pm are positive. Since T\pm B\ge0, we obtain r\pm b\ge0. This also handles equality on either wall: no boundary point is lost in passing to inverse labels.

5.3 The two families overlap sufficiently

Take a point of K_2 outside the two tip regions, so that t,s\ge2d. Apply (35) to (B,T)=(y,t) with k_0=cx, and to (B,T)=(x,s) with k_0=-cy. Let the resulting labels be (b_-,r_-) and (b_+,r_+). They already satisfy d\le r_\pm\le2 and |b_\pm|\le r_\pm. It remains to show that one label satisfies its ceiling in (29).

Suppose both ceilings fail. Since \delta\ge0, this implies r_-,r_+>a. The inverse equations give

\begin{align*} b_-&=y-cxP(b_-,r_-),& b_+&=x+cyP(b_+,r_+),\\ r_-+r_+&=1+c\left[yQ(b_+,r_+)-xQ(b_-,r_-)\right]. \tag{37}\end{align*}

All labels now lie in a fixed compact region with r\ge a, on which the field and its derivatives are bounded. The last equation first gives r_-+r_+=1+O(c). Because both summands exceed a=1/2, each is a+O(c). The first two equations also give b_-=y+O(c) and b_+=x+O(c). Using Q(b,a)=b, the bracket in the last equation is therefore yx-xy+O(c)=O(c). This improves the sum to 1+O(c^2) and each height to a+O(c^2).

Refining the first two equations and again using Q(b,a)=b, we obtain

b_-=y-cxP_a(y)+O(c^2),\qquad b_+=x+cyP_a(x)+O(c^2),\qquad Q(b_\pm,r_\pm)=b_\pm+O(c^2).

Substitution into (37) yields

r_-+r_+ =1+c^2\left[x^2P_a(y)+y^2P_a(x)\right]+O(c^3). \tag{38}

On the other hand, failure of both ceilings gives

r_-+r_+> 1+c^2\left[\delta(b_-)+\delta(b_+)\right]+2c^{5/2}.

Here \delta(b_-)+\delta(b_+)=\delta(y)+\delta(x)+O(c), and

\begin{align*} \delta(y)+\delta(x)-x^2P_a(y)-y^2P_a(x) &=(x^2-y^2)\left[P_a(x)-P_a(y)\right]\\ &=\frac{2-p}{2a}(x^2-y^2)^2\ge0.\end{align*}

Comparison with (38) would force 2c^{5/2}\le Cc^3, which is impossible for sufficiently small c. Thus every middle-region point belongs to E_c^-\cup E_c^+. Together with the two closed tip cylinders, the two families cover all of K_2.

5.4 The exact quadratic saving

Let

H=\{(b,r):0<r\le a,\ |b|\le r\},\qquad |H|=a^2.

The deletion of r<d removes area d^2=o(c^2). The area added above r=a is

c^2\int_{-a}^{a}\delta(b)\,db+o(c^2).

Indeed, for |b|\le a its thickness is exactly c^2\delta(b)+c^{5/2}. Since |b|\le r\le2 and \delta is bounded there, the remaining portion has a<|b|\le a+O(c^2) and thickness O(c^2), hence area O(c^4). The field is uniformly bounded on |b|\le r\le2 because p>1. Taylor expansion of the integrand in (33) therefore has uniform remainder O(c^4). Also |D_c\mathbin{\triangle}H|\to0, so the bounded quadratic coefficient may be integrated over H. Including one tip cylinder, we conclude that

\frac{J(c)}{\sqrt{2}}+4d^2 =a^2+c^2\kappa_p+o(c^2),\qquad \kappa_p=\int_{-a}^a\delta(b)\,db -\frac12\int_H(P^2+2Q^2)\,db\,dr. \tag{39}

Both terms admit elementary evaluations. The first is

\int_{-a}^a\delta(b)\,db =a^4\left(\frac p3+\frac{2-p}{5}\right) =\frac{2a^4(p+3)}{15}.

For the second, put \eta=b/r. Then

P=\frac a2(r/a)^{p-1}[p+(2-p)\eta^2],\qquad Q=a(r/a)^{p-1}\eta,\qquad db\,dr=r\,d\eta\,dr.

It follows that

\begin{align*} \frac12\int_H(P^2+2Q^2)\,db\,dr &=\frac{a^4}{4p}\int_{-1}^{1} \left\{\frac14[p+(2-p)\eta^2]^2+2\eta^2\right\}\,d\eta\\ &=\frac{a^4(2p^2+2p+13)}{30p}.\end{align*}

Thus the exact coefficient is

\boxed{\displaystyle \kappa_p=\frac{a^4(2p^2+10p-13)}{30p}<0.} \tag{40}

The range of p in (26) is precisely the range above 1 on which this expression is negative. At p=1 its continuous extension is -a^4/30; the construction itself uses p>1 to retain strict hyperbolicity.

Completion with finitely many cylinders. We can now finish the proof of Theorem 5.1. First fix p in the stated range and then \gamma in (26). Choose a positive c small enough for the derivative bounds, all coverage statements, and

2J(c)+8\sqrt{2}\,d^2 =\frac{\sqrt{2}}2+2\sqrt{2}\,\kappa_p c^2+o(c^2) <\frac{\sqrt{2}}2.

Call the strict difference \Delta>0. Only after fixing this c do we apply Theorem 1.2 of [6] to each family, choosing its additive error less than \Delta/4. Those two finite covers and the two triangular tip cylinders give an actual finite cover of K_2 whose total base area is strictly less than A_{\min}(K_2)/2. The main bases are compact parallelograms. No uniform choice of their meshes as c\to0 is needed.

5.5 Edge-one normalization and alternative cutoffs

The edge-one form allows a direct comparison with the rational field. First we transport the whole construction by a similarity; then we explain which cutoff and padding may be changed without changing its quadratic saving. The similarity halves physical lengths while leaving the height label unchanged:

(x,y,\sqrt{2}\,t)\longmapsto(y/2,x/2,t/\sqrt{2}), \qquad (w,l)=(b/2,r),\qquad k=4c.

Put h=1/\sqrt{2} and define

\widehat V_1(w,l)=\tfrac14P(2w,l),\qquad \widehat V_2(w,l)=\tfrac12Q(2w,l),\qquad f(w)=w^2\widehat V_1(w,1/2).

Equivalently, \widehat V=(-\partial_lH_*,\partial_wH_*) for H_*(w,l)=2^{p-3}(w^2l^{p-2}-l^{p}/4). The two segment families transform exactly, and

k^2(\widehat V_1^2+h^2\widehat V_2^2) =c^2(P^2+2Q^2),\qquad c^2\delta(2w)=k^2 f(w).

With S=\operatorname{diag}(1/2,1), the derivative identity is

\widehat V=\tfrac12 S V\circ S^{-1},\qquad \tfrac12 kD\widehat V=cS(DV)S^{-1}.

Thus the scaled eigenvalues for axial half-length L=1/2 agree with those of cDV. Under the fixed physical rescaling, the derivative is likewise similar to \pm kD\widehat V. This is a spectral statement; the nonorthogonal matrix S does not preserve the ordinary operator norm. No operator-norm transfer is needed by the square-tile theorem. The already constructed physical cylinder cover also transports by the Euclidean similarity above.

Physical areas scale by 1/4. Therefore the per-family quadratic coefficient after dividing physical area by h is \kappa_p/32; the positive saving in that normalization is

-\frac{\kappa_p}{32} =\frac{13-10p-2p^2}{15360p}.

For this exact similarity the cutoff becomes 4^{-\gamma}k^\gamma and the ceiling padding becomes k^{5/2}/32.

The estimates also permit independent choices of these two auxiliaries. Indeed, the preceding inverse, overlap, and area proofs hold with a positive cutoff \rho(c) and padding q(c)>0 whenever

\rho(c)=o(c),\qquad c\rho(c)^{p-2}\longrightarrow0, \qquad q(c)=o(c^2),\qquad c^3=o(q(c)). \tag{41}

The contraction and wall-sign estimates use only the second condition; the deleted label area and two tip areas use the first. The overlap contradiction compares 2q(c) with O(c^3), and the coefficient is unchanged because q(c)=o(c^2). On the retained set r\le2, the ceiling forces r\le1/2+O(c^2). Replacing its upper bound 2 by 1 therefore leaves the label set unchanged for sufficiently small c.

We can now state the edge-one variant with its own cutoff. Choose 1<\beta<1/(2-p) and put \sigma=k^\beta. The field and padding polynomial are explicitly

\begin{align*} \widehat V_1(w,l)&=\tfrac14(2l)^{p-1} [(2-p)(w/l)^2+p/4],\\ \widehat V_2(w,l)&=\tfrac12(2l)^{p-1}(w/l),\qquad f(w)=w^2[(2-p)w^2+p/16]. \tag{42}\end{align*}

The image tetrahedron is

\widetilde K_1=\{(x,y,hs):0\le s\le1,\ |x|\le s/2, \ |y|\le(1-s)/2\}.

It is the translate K_1+(0,0,h/2) of the centered tetrahedron in (2). Its two segment families are

(x,s)=(w,l)+ky\widehat V(w,l),\quad |y|\le1/2, \qquad (y,1-s)=(w,l)-kx\widehat V(w,l),\quad |x|\le1/2,

with labels

D_k=\{\sigma\le l\le1,\ |w|\le l/2, \ l\le1/2+k^2f(w)+k^{5/2}\}.

Under c=k/4, these new choices pull back to \rho(c)=(4c)^\beta and q(c)=(4c)^{5/2}, which satisfy (41). Thus coverage follows from the full preceding proof, including its closed inversions and two tip cylinders. The scaled eigenvalue bound is now O(k\sigma^{p-2})=o(1), so Theorem 1.2 of [6] applies with L=1/2. For every positive error e, each finite family costs at most I(k)+e, where

I(k)=h\int_{D_k} (1+k^2(\widehat V_1^2+h^2\widehat V_2^2))^{-1/2}\,dw\,dl. \tag{43}

There are exactly two additional tip cylinders, each of area 2h\sigma^2.

The coefficient has the following direct edge-one evaluation. On D_0=\{0\le l\le1/2,\ |w|\le l/2\}, put

A(p)=\int_{-1/4}^{1/4}f(w)\,dw =\frac{2-p}{2560}+\frac{p}{1536}, \qquad G(p)=\frac12\int_{D_0}(\widehat V_1^2+h^2\widehat V_2^2)\,dw\,dl.

Substituting R=w/l gives

\begin{align*} G(p)&=\frac1{16p} \left\{\frac{(2-p)^2/80+p(2-p)/24+p^2/16}{16} +\frac1{96}\right\},\\ A(p)-G(p)&=\frac{2p^2+10p-13}{15360p}. \tag{44}\end{align*}

Here \int_0^{1/2}l(2l)^{2p-2}\,dl=1/(8p) and the second and fourth moments on [-1/2,1/2] are 1/12 and 1/80. In particular A(1)=16/15360 and G(1)=17/15360 are continuous coefficient limits. They coincide with the rational limits of J_d and I_d in (11). We still fix p>1, then \beta, then a positive k, and finally the two finite errors. This gives 2I(k)+4h\sigma^2<h/4 before those errors. The minimum projection area of \widetilde K_1 is h/2 by the similarity above.

At the endpoint p=1, writing \theta=b/r, the original edge-two field in (27) becomes

P(b,r)=\frac{1+\theta^2}{4},\qquad Q(b,r)=\frac{\theta}{2}.

These formulas depend only on the angle of the label. The cutoff requirements (41) would now demand both \rho(c)=o(c) and c/\rho(c)\to0, which are incompatible. The next section fixes a truncated label set, applies the square-zero case of the same finite-approximation theorem, and covers the apex segments by a finite velocity net. The field agrees with the endpoint above; the padding and the treatment of the apex are chosen anew.

6 Angular fields with square-zero differential

We now use the limiting field from the end of Section 5.5, which is constant along each ray of its triangular label domain. Its differential generates a shear, so the square-zero case of the finite approximation theorem applies away from the apex. We prove closed coverage by two such sweeps, compute their cost, and then cover the omitted apex segments by a finite net.

Return to the edge-two tetrahedron K_2 of Section 5, using the normalized height z in place of t and setting h=\sqrt2:

K_2= \{(x,y,hz):0\le z\le1,\ |x|\le1-z,\ |y|\le z\}, \qquad h=\sqrt2. \tag{45}

Its minimum projection area is h, as established by similarity in Section 5. Thus (x,y,z) are normalized coordinates: their Euclidean metric is dx^2+dy^2+2\,dz^2. The physical similarity

(x,y,hz)\longmapsto \left(\frac{x}{2},\frac{y}{2},\frac{1/2-z}{\sqrt2}\right) \tag{46}

has ratio 1/2 and takes K_2 to the centered edge-one tetrahedron K_1: writing t=1/2-z, its image satisfies |X|\le(1/2+t)/2, |Y|\le(1/2-t)/2, and has physical height t/\sqrt2. Both perpendicular base areas and projection areas are divided by four. We retain the present scale throughout this section.

6.1 Choosing the angular field

Write a nonzero label in the upper half-plane as b=(pt,t), where t>0. For a field of the form G(b)=(v(p),w(p)), differentiation gives

DG(b)=\frac1t \begin{pmatrix}v'(p)\\w'(p)\end{pmatrix} \begin{pmatrix}1&-p\end{pmatrix}.

Thus v'(p)=p w'(p) makes (DG)^2=0: the row in this product annihilates its column. We also want the velocity tangent to the boundary rays p=\pm1, which requires v(p)=p w(p) there. Fix c=1/2 and choose w(p)=cp. Integrating the differential relation with these endpoint conditions determines v. We also define a by

v(p)=\frac c2(1+p^2),\qquad w(p)=cp, \qquad a(p)=c^2p^2v(p). \tag{47}

The last function specifies the quadratic overlap we will allow. For 0<k<1, put

H(p)=c+k^2a(p)+k^3,\qquad -1\le p\le1.

The extra cubic term provides a strict margin in the coverage proof. In normalized coordinates define two sets swept out by segments:

\begin{aligned} \mathcal E_+&=\{(s,pt+ksv(p),t+ksw(p)): |s|\le1,\ |p|\le1,\ 0\le t\le H(p)\},\\ \mathcal E_-&=\{(pt-ksv(p),s,1-t+ksw(p)): |s|\le1,\ |p|\le1,\ 0\le t\le H(p)\}. \end{aligned} \tag{48}

At k=0 the two sweeps cover the lower and upper halves of the tetrahedron by axis-parallel segments. For positive k we must check that their varying tilts do not leave a gap between them.

Lemma 6.1. For every 0<k<1, every normalized point of K_2 belongs to \mathcal E_+\cup\mathcal E_-.

Proof. We first record an elementary inversion including the endpoints. If z\ge0, d\in\R and |y|\le z, the equation

y=rz+d(1-r^2)

has a solution r\in[-1,1] with z-2dr\ge0. For d>0, the nondecreasing part of this concave quadratic starts at r=-1 with value -z and reaches a value at least z. For d<0, the nondecreasing part of the convex quadratic ends at r=1 with value z and starts at a value at most -z. For d=0 the equation is linear; if also z=0, then y=0 and any r is allowed.

For a normalized point (x,y,z) of K_2, apply this observation twice to obtain r,q\in[-1,1] such that

\begin{aligned} y&=rz+\frac{kcx}{2}(1-r^2), &t&=z-kcxr\ge0,\\ x&=q(1-z)-\frac{kcy}{2}(1-q^2), &t'&=1-z+kcyq\ge0. \end{aligned} \tag{49}

Equivalently,

y=rt+kxv(r),\qquad x=qt'-kyv(q). \tag{50}

If t\le H(r), the first sweep contains the point with axial parameter s=x. If t'\le H(q), the second contains it with s=y. In both cases |s|\le1.

Suppose both inequalities fail. Then t,t'>c, while

t+t'=1+kc(yq-xr)\le1+2kc.

Since 2c=1, both t-c and t'-c lie between zero and 2kc. The bounds |x|,|y|\le1 and 0<v\le c, together with (50), now imply

|x-cq|\le3kc,\qquad |y-cr|\le3kc. \tag{51}

Substituting (50) into the expression for t+t'-1 gives the exact identity

(1-kcrq)(t-c)+(1+kcrq)(t'-c) =k^2c\bigl(xqv(r)+yrv(q)\bigr). \tag{52}

Both coefficients on the left are positive. The assumed cutoff failures make that side strictly greater than

k^2(a(r)+a(q))+ \bigl(2+crq(a(q)-a(r))\bigr)k^3 \ge k^2(a(r)+a(q))+(2-c^4)k^3,

since 0\le a\le c^3. On the other hand, (51) bounds the right side by

k^2c^2\bigl(q^2v(r)+r^2v(q)\bigr)+6c^3k^3 \le k^2(a(r)+a(q))+6c^3k^3.

The last inequality follows from (r^2-q^2)(v(r)-v(q))\ge0. These bounds contradict 6c^3<2-c^4 at c=1/2. All inversions used closed intervals, so the same argument includes the faces, edges and vertices.

6.2 The cost predicted by the sweeps

We have proved complete coverage by two continuous families. We next compute their limiting cost, so that a definite positive tolerance is available when making the cover finite.

For a planar tile T and a constant velocity g=(g_1,g_2), write

\mathcal C(T,g)=\{(s,\xi):s\in\R,\ \xi\in T+sg\}, \qquad J_h(g)=(1+g_1^2+h^2g_2^2)^{-1/2}.

The two physical maps

F_+(s,\xi)=(s,\xi_1,h\xi_2),\qquad F_-(s,\xi)=(\xi_1,s,h(1-\xi_2)) \tag{53}

send this auxiliary cylinder to cylinders with perpendicular base area h|T|J_h(g). Indeed, the transverse tile has physical area h|T|, and projection to the plane perpendicular to (1,g_1,hg_2) has area factor J_h(g). The second map differs from the first by a Euclidean isometry. A square T, of any orientation, therefore gives a compact convex parallelogram base.

Under these maps the two sweeps have the common auxiliary form

(s,(pt,t)+s\sigma k(v(p),w(p))),\qquad |s|,|p|\le1,\quad 0\le t\le H(p), \qquad \sigma\in\{1,-1\}. \tag{54}

The Jacobian of (p,t)\mapsto(pt,t) is t. The integral predicting the weighted tile cost of either sweep is consequently

I(k)=\int_{-1}^1\frac{H(p)^2}{2} \bigl(1+k^2(v(p)^2+h^2w(p)^2)\bigr)^{-1/2}\,dp. \tag{55}

Lemma 6.2. As k\downarrow0,

I(k)=\frac14-\frac{k^2}{480}+O(k^3).

In particular I(k)<1/4 for every sufficiently small positive k.

Proof. All functions of p in (55) are uniformly bounded on [-1,1]. Expanding the two factors, uniformly on that interval, gives

I(k)=c^2+k^2\left( c\int_{-1}^1a(p)\,dp- \frac{c^2}{4}\int_{-1}^1(v(p)^2+h^2w(p)^2)\,dp \right)+O(k^3). \tag{56}

Direct polynomial integration yields

\int_{-1}^1a(p)\,dp=\frac{8c^3}{15},\qquad \int_{-1}^1(v(p)^2+2w(p)^2)\,dp=\frac{34c^2}{15}.

The coefficient of k^2 in (56) is therefore -c^4/30=-1/480, as asserted.

6.3 A finite cover, including the apex

We now realize the saving by finitely many cylinders. On the open half-plane b_2>0 define

G_\sigma(b)=\sigma k \bigl(v(b_1/b_2),w(b_1/b_2)\bigr),

using the same polynomial formulas for v,w at every real argument. This is a smooth field, and the earlier differential computation gives

DG_\sigma(pt,t)=\frac{\sigma kc}{t} \begin{pmatrix}p\\1\end{pmatrix} \begin{pmatrix}1&-p\end{pmatrix}, \qquad (DG_\sigma)^2=0. \tag{57}

At t=0 every label (pt,t) is the origin, but its assigned velocity still depends on p. Thus the field has no continuous extension to the apex. That part of the family must be covered separately.

Lemma 6.3 (A finite apex net). Fix 0<k<1 and 0<\rho\le1. For either sign \sigma, the part of (54) with 0\le t\le\rho is covered by at most \lceil2/\rho\rceil+1 auxiliary cylinders. Their tiles are squares of side 2(1+kc)\rho, and their total weighted tile area is at most

16(1+kc)^2\rho. \tag{58}

Proof. Put m=\lceil2/\rho\rceil and p_j=-1+2j/m for 0\le j\le m. Every p\in[-1,1] is within \rho of one p_j. Use the common tile T_j=[-(1+kc)\rho,(1+kc)\rho]^2 and velocity g_j=\sigma k(v(p_j),w(p_j)). Since |v'|\le c and |w'|=c on this interval, each coordinate of

(pt,t)+s\sigma k\bigl((v(p),w(p))-(v(p_j),w(p_j))\bigr)

has absolute value at most (1+kc)\rho for 0\le t\le\rho and |s|\le1. The cylinders therefore cover these segments, also at t=0. Finally J_h\le1 and m+1\le2/\rho+2\le4/\rho, so their weighted cost is at most (4/\rho)\,4(1+kc)^2\rho^2.

The remaining finite approximation uses the same square-tile theorem, Theorem 1.2 of [6], with L=1. A square-zero planar matrix has trace and determinant zero, so it satisfies the theorem’s condition \operatorname{tr}DG=0 and -1<\det DG\le0. For a fixed compact set D, a C^1 field G on a neighborhood of D, fixed h>0, and positive tolerance, the theorem supplies finitely many compact nondegenerate square tiles, with possibly different orientations, and velocities covering \{(s,b+sG(b)):b\in D,\ |s|\le1\}. Their weighted cost is at most \int_D J_h(G) plus that tolerance. The weights use the original velocity coordinates. Neither a small-shear condition nor a boundary regularity assumption is required.

Proposition 6.4. The tetrahedron K_2 admits a finite cylinder cover with compact convex parallelogram perpendicular bases whose total area is less than \frac12\min_{|u|=1}|\pi_{u^\perp}K_2|.

Proof. Choose and fix 0<k<1 with I(k)<c^2, and then choose 0<\epsilon<c^2-I(k). Next fix

0<\rho<\min\left\{c,\frac{\epsilon}{32(1+kc)^2}\right\}.

The apex net of Lemma 6.3 costs less than \epsilon/2 in weighted tile area, for each sign. Only now form the truncated label set

D_\rho=\{(pt,t):-1\le p\le1,\ \rho\le t\le H(p)\}.

It is compact, lies in the open half-plane b_2>0, and the field G_\sigma is C^1 on that neighborhood. Equation (57) verifies its square-zero differential there, hence trace and determinant zero. We may therefore apply Theorem 1.2 of [6] with this fixed D_\rho, physical factor h=\sqrt2, unit axial interval, and tolerance \epsilon/2. Although the derivative may become large when \rho is small, no hypothesis bounds it by a prescribed constant; the finite approximation is chosen after \rho has been fixed.

Since the weight is independent of t and of the sign,

\int_{D_\rho}J_h(G_\sigma(b))\,db =\int_{-1}^1\frac{H(p)^2-\rho^2}{2} \bigl(1+k^2(v(p)^2+h^2w(p)^2)\bigr)^{-1/2}\,dp \le I(k).

Combining the approximation with the apex net gives a finite physical cylinder cover of each entire sweep at cost at most h(I(k)+\epsilon). All its perpendicular bases are compact convex parallelograms by (53). Lemma 6.1 now proves that the two lists together cover the whole tetrahedron, and their total area is at most

2h(I(k)+\epsilon)<2hc^2=\frac h2 =\frac12\min_{|u|=1}|\pi_{u^\perp}K_2|.

The explicit apex count controls the omitted endpoint. Finiteness of the other lists is supplied at the fixed tolerance; no uniform bound on their number is needed.

A Two further projection-area identities

The barycentric argument in Section 2 gives the reference area needed for the covering constructions. We record two independent geometric explanations of that area: one uses the second moments of the face normals, and the other relates the projection of a simplex to its longest parallel chord.

Use the edge-two tetrahedron

K_2=\{(x,y,ht):0\le t\le1, \ |x|\le1-t,\ |y|\le t\},\qquad h=\sqrt2.

A.1 Second moments of the face normals

Lemma A.1. For the regular tetrahedron K_2 just defined, A_{\min}(K_2)=\sqrt2.

Proof. The facet-area form of the polytope projection formula [5, equation (1), p. 83, and Section 3] can be seen directly here. The outward unit face normals are

n_1,n_2=(0,\pm\sqrt2,-1)/\sqrt3, \qquad n_3,n_4=(\pm\sqrt2,0,1)/\sqrt3.

Each face has area \sqrt3, and for a unit vector u the front faces project onto the projection of K_2 with disjoint interiors, apart from sets of area zero. The back faces give the same area. Consequently

|\pi_{u^\perp}K_2|=\frac{\sqrt3}{2}\sum_{i=1}^4|u\cdot n_i|. \tag{59}

Since \sum_i n_i=0 and \sum_i n_i n_i^{\mathsf T}=\frac43 I_3, the numbers a_i=u\cdot n_i sum to zero and have squared sum 4/3. If S is the sum of their positive parts, then the negative parts have absolute sum S, so 4/3=\sum_i a_i^2\le2S^2. Equation (59) is therefore at least \sqrt2, with equality for u=(1,0,0). Thus A_{\min}(K_2)=\sqrt2.

A.2 Projection area from overlap volumes

The same comparison area can be obtained from an identity for every nondegenerate tetrahedron. The simplex chord–projection identity is attributed to Martini and Weissbach in [4, p. 8268]. The following proof differentiates the volume of a translated intersection.

Lemma A.2. Let T\subset\R^3 be a nondegenerate tetrahedron, let u be a Euclidean unit vector, and let L_u be the length of a longest chord of T parallel to u. Then

|\pi_{u^\perp}T|=\frac{3\operatorname{vol}(T)}{L_u}. \tag{60}

In particular, \min_{|u|=1}|\pi_{u^\perp}K_2|=h.

Proof. Let \lambda_1,\ldots,\lambda_4 be the affine barycentric coordinates of T, and put \Delta_i=\lambda_i(x+u)-\lambda_i(x). These differences are independent of x and sum to zero. They do not all vanish, since barycentric coordinates distinguish points. Consequently

M=\sum_{i=1}^4\max(0,-\Delta_i)>0.

For e\ge0, the conditions x\in T and x+eu\in T are equivalent to \lambda_i(x)\ge e\max(0,-\Delta_i) for every i. The lower bounds use total barycentric mass eM. The intersection T\cap(T-eu) is therefore nonempty exactly when e\le M^{-1}; for e<M^{-1} it is a translate of a homothetic copy of T of ratio 1-eM. This proves L_u=M^{-1} and

\operatorname{vol}(T\cap(T-eu)) =(1-eM)^3\operatorname{vol}(T),\qquad 0\le e<M^{-1}. \tag{61}

Let \ell(q) be the length of the fiber of T above q\in\pi_{u^\perp}T. Fubini’s theorem gives

\operatorname{vol}(T\cap(T-eu)) =\int_{\pi_{u^\perp}T}(\ell(q)-e)_+\,dq.

Every point in the interior of the projection has a fiber of positive length. Indeed, homothetic copies of T about an interior point, with ratios increasing to one, lie in the interior of T, and their projections exhaust the interior of its projection. The boundary of the projection polygon has area zero. The difference quotient of (\ell-e)_+ at e=0 lies between -1 and zero, and tends to -1 wherever \ell>0. Dominated convergence thus makes the right derivative of the last integral equal to -|\pi_{u^\perp}T|. Differentiating (61) proves (60).

The horizontal sections of K_2 give

\operatorname{vol}(K_2) =h\int_0^1 4z(1-z)\,dz=\frac{2h}{3}.

Its vertices (\pm1,0,0) and (0,\pm1,h) are pairwise at distance two. The distance between two convex combinations of the vertices is at most the largest vertex distance, by the triangle inequality. Hence its diameter is two. Every L_u is at most two, and an edge direction attains two. The identity just proved therefore gives the minimum projection area h.

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