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Asymptotic Cones and the Sublinear Triangle Criterion: Examples

1 · Prerequisites

2 · Summary

Explicit cones of the line and trees accompany a Euclidean right-triangle calculation. The scaling examples distinguish vanishing at a fixed perimeter cutoff from the sublinear estimate needed at the moving cone scale.

3 · Logical flowchart

4 · Definitions, theorems and proofs

ExampleConstruction: AI-adaptedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

Cones of a line and of real trees

Example

Assume AC. For every free ultrafilter ω, positive scales λn0 and real basepoints en, the cone of (R,xy) is isometric to R via [xn]limωλn(xnen),t[en+t/λn]. Every asymptotic cone of a nonempty real tree is a real tree; the cone need not be isometric to the original tree.

Facts & Assumptions

Given: Assume AC, fix ω, λn>0 tending to zero, and the displayed basepoints.

[F1]

Cone points are bounded-rescaled-distance sequences modulo zero ultradistance. (Rescaled ultralimits and asymptotic cones).

[F2]

Bounded real ultralimits exist and commute with subtraction and absolute value. (Free tail ultrafilters and bounded real ultralimit calculus).

[F3]

Chosen representative geodesic segments give isometric cone segments; the cone is geodesic. (Limits of geodesic segments, rays and lines).

[F4]

A real-tree triangle is a tripod; a geodesic space all of whose triangles are tripods is a real tree. (Triangle extrema and the tripod and branch rules for real trees).

[F5]

Under sublinear triangle minsize every cone geodesic segment is unique and is the limit of any prescribed representative segments. (Sublinear minsize identifies every cone segment with a limit segment).

[F7]

AC supplies the permitted free ultrafilter and representative-geodesic choices. (The Axiom of Choice).

Verification

technique · direct
1.1

If (xn) is admissible, an=λn(xnen) is bounded in absolute value, so T([xn])=limωan exists. For two admissible sequences, F2 gives T([xn])T([yn])=limωλn(xnyn)=dω([xn],[yn]). Thus T is constant on equivalent representatives, and equal T values imply zero ultradistance and the same cone point. It is an isometric injection.

F1F2F6
1.2

In a real tree every chosen triangle is a tripod by F4, and its branchpoint belongs to all three sides. Its minsize is therefore zero, giving the sublinear function mX(P)=0. F3 makes the cone geodesic, and F5 applies under AC: each of its geodesic segments is unique and is the limit of any prescribed representative segments. This includes arbitrary moving basepoints and arbitrary positive scales tending to zero. The next branchpoint calculation establishes the additional tripod conclusion.

F3F4F5F7
2.1

For tR set xn=en+t/λn. Then λnxnen=t, so this is admissible and T([xn])=t. Conversely, for an admissible (yn) with t=T([yn]), the distance to this inverse representative is the ultralimit of λn(ynen)t, which is zero. Both inverse identities hold. For the concrete choice en=(n+1)2, λn=1/(n+1), the sequence xn=(n+1)2+3(n+1) maps to 3, and yn=(n+1)22(n+1) maps to 2; their rescaled distance is 5 for every nN, including n=0.

step 1.1F1F2
3.1

More explicitly, for three representative vertices xn,yn,zn choose their tree branchpoint bn. It satisfies d(bn,xn)d(xn,yn) and hence λnd(bn,en)λnd(xn,en)+λnd(xn,yn), a bounded sequence. Thus [bn] exists. It is on each limit side, since bn belongs to each original side, and F3 parameterizes those sides by their rescaled distances from an endpoint. By step 1.2 these limit sides are the actual chosen cone sides. Write b=[bn]. Each side splits at b into its two endpoint legs by distance additivity. Two distinct legs toward vertices x,y cannot share qb, since then d(x,y)d(x,q)+d(q,y)=d(x,b)+d(b,y)2d(b,q)<d(x,y). Thus they form a tripod, with zero legs permitted. Every chosen cone triangle is therefore a tripod, and F4 makes the cone a real tree. For a concrete change of isometry type, take the real tree [0,1], basepoint 0 and scales 1/(n+1). Every representative has rescaled distance at most 1/(n+1), so its cone is a single point, whereas the original interval has two points at distance one.

F1F2F3F4step 1.2
ExampleConstruction: AI-adaptedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

A Euclidean right triangle has minsize proportional to its scale

Example

In (R2,d2) consider the triangle with vertices (0,0),(s,0),(0,s), where s>0. Its perimeter is (2+2)s and its minsize μ(s) satisfies s/2μ(s)s,μ(s)=sμ(1). In particular its minsize is a positive linear function of its scale; no optimal coefficient is asserted.

Facts & Assumptions

Given: Fix s>0 and the three indicated straight sides in the Euclidean metric.

[F1]

Minsize is the infimum of the diameters of triples, with one point on each chosen side. (Real trees, tripod triangles, slimness and minsize).

[F2]

On R2, d2((x,y),(x,y))=(xx)2+(yy)2 is a metric. (Rn as the set of functions nR, and d1, d2, d are metrics on it).

[F3]

The nonnegative square root exists and is unique; in particular (2)2=2 and 2>0. (Square roots exist: a unique a0 with (a)2=a; the positives are {x2:x0}).

Verification

technique · direct
1.1

Parameterize the two axis sides by γ1(u)=(u,0) and γ2(u)=(0,u) for 0us. Their pairwise parameter distances are (uv)2=uv. Parameterize the third side by γ3(u)=(u/2,su/2) for 0us2. Its squared distance between parameters u,v is 2((uv)/2)2=(uv)2, so it too has distance uv. These are isometric segments with exactly the displayed endpoints. Their lengths sum to (2+2)s.

F2F3
2.1

Write an arbitrary side triple as p=(u,0), q=(0,v), r=(t,st) with u,v,t[0,s]. Then d2(p,r)st and d2(q,r)t, since their squared distances include respectively (st)2 and t2 and all other summands are nonnegative. Therefore its diameter is at least max(t,st)s/2. This holds for every triple, so μ(s)s/2.

F1F2F3step 1.1
2.2

Take p=q=(0,0) and r=(s,0), which belong respectively to the two axis sides and the third side. Their three pair distances are 0,s,s, so the diameter is s and μ(s)s. In particular at s=1 the computed bounds are 1/2μ(1)1.

F1F2step 1.1
3.1

Multiplication of both coordinates by s bijects all triples for scale one with all triples for scale s, with inverse division by s. The distance formula gives d2(sx,sy)=sd2(x,y) because s>0. Hence the set of admissible diameters is exactly s times the scale-one set. Multiplication by a positive scalar commutes with its infimum: all scaled values are at least sμ(1), and a value less than μ(1)+ε/s scales to less than sμ(1)+ε. Thus μ(s)=sμ(1), with a positive coefficient by step 2.2.

F1F2F3step 2.2
ExampleConstruction: AI-adaptedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

Scaling distinguishes sublinear minsize from a fixed perimeter cutoff

Example

Let X be a nonempty geodesic metric space with mX(P)=o(P). If λn>0 tends to zero and Pn0 with supnλnPn<, then λnmX(Pn)0. A fixed bound on the unscaled perimeters also forces vanishing after rescaling, even without sublinearity, but gives no conclusion for perimeters of order 1/λn. The Euclidean right triangles of scale n+1 at λn=1/(n+1) display this distinction for every nN, including n=0.

Facts & Assumptions

Given: Fix positive scales tending to zero; for the first assertion assume the displayed sublinearity and bounded rescaled perimeters.

[F1]

For perimeter at most P, every admissible side triple has diameter at most P, so 0mX(P)P. (Real trees, tripod triangles, slimness and minsize).

[F2]

An ordinarily convergent bounded real sequence has that value as its ultralimit for every free ultrafilter. (Free tail ultrafilters and bounded real ultralimit calculus).

[F3]

The Euclidean distance on R2 is the square root of the sum of squared coordinate differences. (Rn as the set of functions nR, and d1, d2, d are metrics on it).

[F4]

Nonnegative square roots exist and are unique, including 2>0. (Square roots exist: a unique a0 with (a)2=a; the positives are {x2:x0}).

Verification

technique · direct
1.1

Put H=supnλnPn<. Given ε>0, sublinearity supplies P0>0 with mX(P)εP whenever PP0. For P<P0, F1 gives mX(P)P0. Separating these cases for each Pn yields the single bound 0λnmX(Pn)ελnPn+λnP0εH+λnP0. There is no assumption that Pn tends to infinity.

givenF1
1.2

For each nN in R2, take vertices (0,0),(n+1,0),(0,n+1). The axis-side parameterizations (u,0) and (0,u) for 0un+1 have distance uv. The third parameterization (u/2,n+1u/2) for 0u(n+1)2 has squared distance 2((uv)/2)2=(uv)2. Thus these really are geodesic triangles and their perimeters are Pn=(2+2)(n+1).

F3F4
2.1

To make the last expression less than any η>0, first take ε=η/(2(H+1)), obtain its P0, and then take n so large that λnP0<η/2. This proves ordinary convergence to zero, and also ultralimit zero for any free ultrafilter by F2. If instead PnM for a fixed finite M, the simpler bound 0λnmX(Pn)λnM0 works without sublinearity.

step 1.1F1F2
3.1

For any triple p=(u,0), q=(0,v), r=(t,n+1t) on these sides, the diameter is at least max(n+1t,t)(n+1)/2: the two terms are lower bounds for d(p,r) and d(q,r) respectively. Conversely the triple (0,0),(0,0),(n+1,0) has diameter n+1. At λn=1/(n+1) the rescaled minsize of these triangles therefore lies in [1/2,1], and their rescaled perimeter is the constant 2+2. They do not vanish, whereas any fixed triangle in the very same plane has both its perimeter and its minsize multiplied by 1/(n+1) and tending to zero. This is the claimed witness that controlling only a fixed unscaled perimeter cutoff cannot establish sublinear behavior at the moving scale.

F1F3F4step 1.2

5 · Examples, counterexamples and false statements

None yet.

Sources