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4 Potential estimates and SYZ fibration

We consider a polarized algebraic maximal degeneration of Calabi-Yau manifolds X→S∖{0}X\to S\setminus\{0\} over a smooth algebraic curve. Let (𝒳,ℒ)(\mathcal{X},\mathcal{L}) be a semistable snc model with ℒ|X=L\mathcal{L}|_{X}=L. The NA pluripotential theory provides a continuous semipositive metric ‖⋅‖C​Y=‖⋅‖ℒ​e−ϕ0\left\lVert\cdot\right\rVert_{CY}=\left\lVert\cdot\right\rVert_{\mathcal{L}}e^{-\phi_{0}} on LL over XKa​nX_{K}^{an} solving the NA MA equation (7), which we assume henceforth satisfies the NA MA-real MA comparison property, so ϕ0\phi_{0} solves the real MA equation over the nn-dimensional open faces Int​(ΔJ)\text{Int}(\Delta_{J}) of the essential skeleton S​k​(𝒳)Sk(\mathcal{X}) (cf. section 3.5).

4.1 Comparison Kähler metric I

We apply the Fubini-Study approximation to transfer the NA metric ‖⋅‖C​Y\left\lVert\cdot\right\rVert_{CY} to the complex manifolds XtX_{t} up to C0C^{0}-small errors in the potential, while preserving the positivity of the metric.

Recall there is a logarithm map Log𝒳:Xt→Δ𝒳\text{Log}_{\mathcal{X}}:X_{t}\to\Delta_{\mathcal{X}}, defined up to O⁡(1|log⁡|t||)O(\frac{1}{|\log|t||}) coordinate ambiguity, so when we refer to Log𝒳\text{Log}_{\mathcal{X}} over Int​(ΔJ)\text{Int}(\Delta_{J}) we will implicitly shrink Int​(ΔJ)\text{Int}(\Delta_{J}) by O⁡(1|log⁡|t||)O(\frac{1}{|\log|t||}) to ensure the coordinate expression xi=log⁡|zi|log⁡|t|x_{i}=\frac{\log|z_{i}|}{\log|t|} makes sense.

00A5

Lemma 4.1. Given any 0<ϵ≪10<\epsilon\ll 1, then for sufficiently small tt depending on ϵ\epsilon, there is a smooth Kähler metric ωF​S,t\omega_{FS,t} on (Xt,1|log⁡|t||​c1​(L))(X_{t},\frac{1}{|\log|t||}c_{1}(L)), such that

  • •

    The relative Kähler potential for any two choices of ϵ\epsilon is bounded uniformly independent of small tt.

  • •

    On Log𝒳−1​(Int​(ΔJ))\text{Log}_{\mathcal{X}}^{-1}(\text{Int}(\Delta_{J})), the local Kähler potentials ϕJ,t\phi_{J,t} of ωF​S,t\omega_{FS,t} can be chosen to satisfy |ϕJ,t−ϕ0∘Log𝒳|<ϵ|\phi_{J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}}|<\epsilon.

00A6

Proof. Let ‖⋅‖F​S\left\lVert\cdot\right\rVert_{FS} be a NA Fubini-Study approximation of ‖⋅‖C​Y\left\lVert\cdot\right\rVert_{CY}, with potential difference less than ϵ/2\epsilon/2. We construct the Fubini-Study metrics ‖⋅‖F​S,t\left\lVert\cdot\right\rVert_{FS,t} on (Xt,L)(X_{t},L) by the formula (10), so the curvature forms of ‖⋅‖F​S,t1/|log⁡|t||\left\lVert\cdot\right\rVert_{FS,t}^{1/|\log|t||} define the Kähler metrics ωF​S,t\omega_{FS,t} on (Xt,1|log⁡|t||​c1​(L))(X_{t},\frac{1}{|\log|t||}c_{1}(L)). By construction, for sufficiently small tt the local potentials are C0C^{0}-close to that of ‖⋅‖F​S\left\lVert\cdot\right\rVert_{FS}, which is ϵ\epsilon-close to the continuous metric ‖⋅‖C​Y\left\lVert\cdot\right\rVert_{CY}, so the uniform boundedness of the potentials can be guaranteed.

By our NA MA-real MA comparison assumption, over Int​(ΔJ)\text{Int}(\Delta_{J}) the potential ϕ0\phi_{0} of ‖⋅‖C​Y\left\lVert\cdot\right\rVert_{CY} equals the pullback ϕ0∘r𝒳\phi_{0}\circ r_{\mathcal{X}} via the retraction map r𝒳r_{\mathcal{X}}. From our discussions on the hybrid topology in section 3.2, over Int​(ΔJ)\text{Int}(\Delta_{J}), for ϕJ,t\phi_{J,t} to be C0C^{0}-close to ϕ0∘r𝒳\phi_{0}\circ r_{\mathcal{X}} means the same as saying ϕJ,t\phi_{J,t} is C0C^{0}-close to ϕ0∘Log𝒳\phi_{0}\circ\text{Log}_{\mathcal{X}}.

∎

4.2 Comparison Kähler metric II: Regularisation

We now improve the metric ωF​S,t\omega_{FS,t} on (Xt,1|log⁡|t||​c1​(L))(X_{t},\frac{1}{|\log|t||}c_{1}(L)) to make the volume form approximately CY except on a set with a small percentage of the CY measure.

Let 0<δ≪10<\delta\ll 1. Since ϕ0\phi_{0} solves the real MA equation (8) on the nn-dimensional open faces Int​(ΔJ)\text{Int}(\Delta_{J}), the regularity theory of real MA surveyed in section 2.5 applies. In particular, we can find finitely many small open balls Bl=B⁡(pl,2​r​(δ))B_{l}=B(p_{l},2r(\delta)) properly contained in ∪JInt(ΔJ)\cup_{J}\text{Int}(\Delta_{J}), such that ϕ0\phi_{0} has CkC^{k}-norm uniformly bounded by C⁡(δ)C(\delta) on any BlB_{l}, and the complement of Wδ=∪lB(pl,r(δ))W_{\delta}=\cup_{l}B(p_{l},r(\delta)) has small μ0\mu_{0}-measure less than δ\delta. The open sets WδW_{\delta} form an exhaustion of W0=∪δ>0WδW_{0}=\cup_{\delta>0}W_{\delta}, which is the C∞C^{\infty}-locus of the real MA solution ϕ0\phi_{0}. Recall the normalised CY measure d​μtd\mu_{t} from section 3.1.

00A7

Lemma 4.2. (Regularisation) Let ϵ\epsilon be suffiently small dependent on δ\delta, and construct ωF​S,t\omega_{FS,t} as in Lemma 4.1, for tt sufficiently small dependent on ϵ\epsilon and δ\delta. There is a Lipschitz continuous function ψt\psi_{t} on XtX_{t} with ‖ψt‖L∞≤3​ϵ\left\lVert\psi_{t}\right\rVert_{L^{\infty}}\leq 3\epsilon, such that

  • •

    The function ψt\psi_{t} is smooth away from a closed subset with d​μtd\mu_{t}-measure zero.

  • •

    The (1,1)-current ωψ,t=ωF​S,t+d​dc​ψt≥0\omega_{\psi,t}=\omega_{FS,t}+dd^{c}\psi_{t}\geq 0 is positive on XtX_{t}.

  • •

    The metric estimate (1−C​ϵ)​d​dc​ϕ0∘Log𝒳≤ωψ,t≤(1+C​ϵ)​d​dc​ϕ0∘Log𝒳(1-C\epsilon)dd^{c}\phi_{0}\circ\text{Log}_{\mathcal{X}}\leq\omega_{\psi,t}\leq(1+C\epsilon)dd^{c}\phi_{0}\circ\text{Log}_{\mathcal{X}} holds on the smooth locus of ψ\psi inside Log𝒳−1​(Wδ)\text{Log}_{\mathcal{X}}^{-1}(W_{\delta}).

  • •

    The total variation ∫Xt||log⁡|t||n​ωψ,tn(Ln)−d​μt|<δ.\int_{X_{t}}|\frac{|\log|t||^{n}\omega_{\psi,t}^{n}}{(L^{n})}-d\mu_{t}|<\delta.

00A8

Proof. Choose a smooth nonnegative bump function η\eta on ℝn\mathbb{R}^{n} supported in B⁡(0,2)B(0,2), and equals one on B⁡(0,1)B(0,1), and construct ηi=η⁡(|x−pi|r⁡(δ))\eta_{i}=\eta(\frac{|x-p_{i}|}{r(\delta)}) supported on BiB_{i}. We calculate Log𝒳−1​(Bl)\text{Log}_{\mathcal{X}}^{-1}(B_{l})

d​dc​ϕ0∘Log𝒳=14​π​|log⁡|t||2​∑1≤i,j≤n∂2ϕ0∂xi​∂xj​−1​d​log⁡zi∧d​log⁡z¯j≳δ1|log⁡|t||2∑−1dlogzi∧dlogz¯j,\begin{split}dd^{c}\phi_{0}\circ\text{Log}_{\mathcal{X}}=\frac{1}{4\pi|\log|t||^{2}}\sum_{1\leq i,j\leq n}\frac{\partial^{2}\phi_{0}}{\partial x_{i}\partial x_{j}}\sqrt{-1}d\log z_{i}\wedge d\log\bar{z}_{j}\\ \gtrsim_{\delta}\frac{1}{|\log|t||^{2}}\sum\sqrt{-1}d\log z_{i}\wedge d\log\bar{z}_{j},\end{split}
ddcηl∘Log𝒳≥−C|log⁡|t||2∑−1dlogzi∧dlogz¯j,dd^{c}\eta_{l}\circ\text{Log}_{\mathcal{X}}\geq-\frac{C}{|\log|t||^{2}}\sum\sqrt{-1}d\log z_{i}\wedge d\log\bar{z}_{j},

so if 0<ϵ≪10<\epsilon\ll 1 is sufficiently small dependent on δ\delta, we can ensure (ϕ0+2​ϵ​ηl)∘Log𝒳(\phi_{0}+2\epsilon\eta_{l})\circ\text{Log}_{\mathcal{X}} is psh on Log𝒳−1​(Bl)\text{Log}_{\mathcal{X}}^{-1}(B_{l}).

Consider the potential function on Log𝒳−1​(Int​(ΔJ))\text{Log}_{\mathcal{X}}^{-1}(\text{Int}(\Delta_{J}))

ψt​(z)=max⁡(0,maxLog𝒳​(z)∈Bl⁡{(ϕ0+2​ϵ​ηl)∘Log𝒳−ϵ−ϕJ,t}),\psi_{t}(z)=\max(0,\max_{\text{Log}_{\mathcal{X}}(z)\in B_{l}}\{(\phi_{0}+2\epsilon\eta_{l})\circ\text{Log}_{\mathcal{X}}-\epsilon-\phi_{J,t}\}),

with ϕJ,t\phi_{J,t} from Lemma 4.1.

Since |ϕJ,t−ϕ0∘Log𝒳|<ϵ|\phi_{J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}}|<\epsilon, we see that on ∂Bl\partial B_{l} the maximum is never achieved by (ϕ0+2​ϵ​ηl)∘Log𝒳−ϵ−ϕJ,t(\phi_{0}+2\epsilon\eta_{l})\circ\text{Log}_{\mathcal{X}}-\epsilon-\phi_{J,t}, so the fact that this term is only locally defined causes no problem. By construction every term is d​dc​ϕJ,tdd^{c}\phi_{J,t}-psh, so the maximum ψt\psi_{t} is also d​dc​ϕJ,tdd^{c}\phi_{J,t}-psh. Near the boundary of Int​(ΔJ)\text{Int}(\Delta_{J}) the maximum is achieved by ψt=0\psi_{t}=0, so ψt\psi_{t} globalizes to define a Lipschitz continuous ωF​S,t\omega_{FS,t}-psh function on XtX_{t}, with ‖ψt‖L∞≤3​ϵ\left\lVert\psi_{t}\right\rVert_{L^{\infty}}\leq 3\epsilon.

Morever, on Log𝒳−1​(Wδ)\text{Log}_{\mathcal{X}}^{-1}(W_{\delta}) the maximum of ψt\psi_{t} is strictly greater than zero. Perturbing the bump function in the construction if necessary, we may assume the locus on XtX_{t} where the maximum is achieved by at least two terms is a subset of codimension one, and it is automatically closed. So a.e on Log𝒳−1​(Wδ)\text{Log}_{\mathcal{X}}^{-1}(W_{\delta}), the metric ωψ,t=ωF​S,t+d​dc​ψt\omega_{\psi,t}=\omega_{FS,t}+dd^{c}\psi_{t} is smooth and equals d​dc​(ϕ0+2​ϵ​ηl)∘Log𝒳dd^{c}(\phi_{0}+2\epsilon\eta_{l})\circ\text{Log}_{\mathcal{X}} for some ll. We calculate using the regularity estimates on d​dc​ϕ0dd^{c}\phi_{0} that

ωψ,tn=(d​dc​(ϕ0+2​ϵ​ηl)∘Log𝒳)n=(1+O⁡(ϵ))​(d​dc​ϕ0∘Log𝒳)n.\omega_{\psi,t}^{n}=(dd^{c}(\phi_{0}+2\epsilon\eta_{l})\circ\text{Log}_{\mathcal{X}})^{n}=(1+O(\epsilon))(dd^{c}\phi_{0}\circ\text{Log}_{\mathcal{X}})^{n}.

Using the real MA equation (8),

(d​dc​ϕ0∘Log𝒳)n=n!​det(D2​ϕ0)​∏i14​π​|log⁡|t||2​−1​d​log⁡zi∧d​log⁡z¯i,(dd^{c}\phi_{0}\circ\text{Log}_{\mathcal{X}})^{n}=n!\det(D^{2}\phi_{0})\prod_{i}\frac{1}{4\pi|\log|t||^{2}}\sqrt{-1}d\log z_{i}\wedge d\log\bar{z}_{i},

where (Ln)n!​d​μ0=det(D2​ϕ0)​d​x1​…​d​xn\frac{(L^{n})}{n!}d\mu_{0}=\det(D^{2}\phi_{0})dx_{1}\ldots dx_{n} determines the constant det(D2​ϕ0)\det(D^{2}\phi_{0}). Comparing with section 3.1, the normalized CY measure d​μtd\mu_{t} satisfies

(Ln)n!​d​μt=(1+O⁡(1|log⁡|t||))​det(D2​ϕ0)​∏i14​π​|log⁡|t||​−1​d​log⁡zi∧d​log⁡z¯i.\frac{(L^{n})}{n!}d\mu_{t}=(1+O(\frac{1}{|\log|t||}))\det(D^{2}\phi_{0})\prod_{i}\frac{1}{4\pi|\log|t||}\sqrt{-1}d\log z_{i}\wedge d\log\bar{z}_{i}.

For sufficiently small tt depending on ϵ\epsilon and δ\delta, we combine the above to deduce

ωψ,tn=(1+O⁡(ϵ))​(Ln)|log⁡|t||n​d​μt.\omega_{\psi,t}^{n}=(1+O(\epsilon))\frac{(L^{n})}{|\log|t||^{n}}d\mu_{t}.

The total complex MA measure is ∫Xtωψ,tn=(Ln)|log⁡|t||n\int_{X_{t}}\omega_{\psi,t}^{n}=\frac{(L^{n})}{|\log|t||^{n}}, and the contribution from the smooth region in Log𝒳−1​(Wδ)\text{Log}_{\mathcal{X}}^{-1}(W_{\delta}) is greater than (1−δ)​(Ln)|log⁡|t||n(1-\delta)\frac{(L^{n})}{|\log|t||^{n}} for very small ϵ\epsilon dependent on δ\delta. Thus the measure contribution from the complement must be less than δ​(Ln)|log⁡|t||n\delta\frac{(L^{n})}{|\log|t||^{n}}, namely δ\delta-percent of the total measure. Thus the total variation of the signed measure d​μt−|log⁡|t||n(Ln)​ωψ,tnd\mu_{t}-\frac{|\log|t||^{n}}{(L^{n})}\omega_{\psi,t}^{n} is smaller than δ\delta for small enough ϵ\epsilon. ∎

4.3 Potential estimate I

We denote the CY metrics on (Xt,1|log⁡|t||​c1​(L))(X_{t},\frac{1}{|\log|t||}c_{1}(L)) as

ωC​Y,t=ωF​S,t+d​dc​ϕC​Y,t.\omega_{CY,t}=\omega_{FS,t}+dd^{c}\phi_{CY,t}.

Using the local potentials ϕJ,t\phi_{J,t} of ωF​S,t\omega_{FS,t}, we can write ωC​Y,t\omega_{CY,t} in terms of local absolute potentials on Log𝒳−1​(Int​(ΔJ))\text{Log}_{\mathcal{X}}^{-1}(\text{Int}(\Delta_{J})):

ωC​Y,t=d​dc​ϕC​Y,J,t,ϕC​Y,J,t=ϕJ,t+ϕC​Y,t.\omega_{CY,t}=dd^{c}\phi_{CY,J,t},\quad\phi_{CY,J,t}=\phi_{J,t}+\phi_{CY,t}.

This depends on an implicit choice of ωF​S,t\omega_{FS,t} and ϕJ,t\phi_{J,t} in Lemma 4.1. Our goal is to find a suitable choice and show the smallness of |ϕC​Y,J,t−ϕ0∘Log𝒳||\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}}| in the generic region.

00A9

Proposition 4.3. For 0<|t|≪10<|t|\ll 1, the CY potentials have a uniform bound ‖ϕC​Y,t‖L∞≤C\left\lVert\phi_{CY,t}\right\rVert_{L^{\infty}}\leq C under the normalisation supXtϕC​Y,t=0\sup_{X_{t}}\phi_{CY,t}=0.

00AA

Proof. Combine the uniform C0C^{0}-estimate Theorem 2.2 and the uniform Skoda estimate Theorem 2.1, we know the CY potential with respect to any fixed choice of Fubini-Study background metric is uniformly bounded for small tt. Here the implicit choice of ϵ\epsilon in ωF​S,t\omega_{FS,t} does not matter because of Lemma 4.1. ∎

00AB

Proposition 4.4. Given small numbers 0<λ,κ≪10<\lambda,\kappa\ll 1, then for δ,ϵ,t\delta,\epsilon,t sufficiently small depending on λ\lambda and κ\kappa, the function ϕC​Y,t\phi_{CY,t} is near its minimum with large probability:

dμt({ϕC​Y,t−minXtϕC​Y,t≥κ/5})<λ.d\mu_{t}(\{\phi_{CY,t}-\min_{X_{t}}\phi_{CY,t}\geq\kappa/5\})<\lambda.
00AC

Proof. We wish to compare ωC​Y,t\omega_{CY,t} with ωψ,t\omega_{\psi,t} from Lemma 4.2 by an L1L^{1}-stability estimate. Pick a parameter cc such that

dμt({ψt−ϕC​Y,t−c≤0})≥λ.d\mu_{t}(\{\psi_{t}-\phi_{CY,t}-c\leq 0\})\geq\lambda.

Since the potential ϕC​Y,t\phi_{CY,t} has a uniform bound, Theorem 2.1 implies another uniform Skoda estimate with modified constants

∫Xte−α​u​d​μt≤A,∀u∈P​S​H​(Xt,ωC​Y,t)​ with ​supXtu=0.\int_{X_{t}}e^{-\alpha u}d\mu_{t}\leq A,\quad\forall u\in PSH(X_{t},\omega_{CY,t})\text{ with }\sup_{X_{t}}u=0.

We also have the L1L^{1}-stability property for ωψ,t\omega_{\psi,t} in Lemma 4.2:

∫Xt|d​μt−ωψ,tnVol​(Xt,ωψ,t)|<δ.\int_{X_{t}}|d\mu_{t}-\frac{\omega_{\psi,t}^{n}}{\text{Vol}(X_{t},\omega_{\psi,t})}|<\delta.

We then apply the uniform L1L^{1}-stability estimate Theorem 2.6, with Y=XtY=X_{t}, ω=ωC​Y,t\omega=\omega_{CY,t} and ϕ=ψt−ϕC​Y,t−c\phi=\psi_{t}-\phi_{CY,t}-c. In this construction δ,ϵ,t\delta,\epsilon,t are sufficiently small, chosen successively depending on λ\lambda and κ\kappa. We conclude

supXt(ψt−ϕC​Y,t−c)≤C⁡(λ)​δ1/(2​n+3)≪κ.\sup_{X_{t}}(\psi_{t}-\phi_{CY,t}-c)\leq C(\lambda)\delta^{1/(2n+3)}\ll\kappa.

Now |ψt|≤3​ϵ≪κ|\psi_{t}|\leq 3\epsilon\ll\kappa, so infXtϕC​Y,t>−c−κ/10.\inf_{X_{t}}\phi_{CY,t}>-c-\kappa/10.

Taking the contrapositive, if we choose c=−infXtϕC​Y,t−κ/10c=-\inf_{X_{t}}\phi_{CY,t}-\kappa/10, then

dμt({ψt−ϕC​Y,t−c≤0})<λ,d\mu_{t}(\{\psi_{t}-\phi_{CY,t}-c\leq 0\})<\lambda,

whence for ϵ≪κ\epsilon\ll\kappa, using again |ψt|≤3​ϵ|\psi_{t}|\leq 3\epsilon,

dμt({ϕC​Y,t−infϕC​Y,t≥κ/5})<λ.d\mu_{t}(\{\phi_{CY,t}-\inf\phi_{CY,t}\geq\kappa/5\})<\lambda.

∎

00AD

Remark 4.5. The reason we use an asymmetric version of the L1L^{1}-stability estimate, is that we have no control on the density of the comparison metric ωψ,t\omega_{\psi,t} away from the the generic region except for a small bound on the measure contribution there.

We can reformulate this in terms of the local potentials of the CY metrics, and thereby eliminate auxiliary choices of Fubini-Study metric and regularisation.

00AE

Corollary 4.6. Given small numbers 0<λ,κ≪10<\lambda,\kappa\ll 1, then for tt small enough depending on λ,κ\lambda,\kappa, there exist appropriately chosen local potentials ϕC​Y,J,t\phi_{CY,J,t} on Log𝒳−1​(Int​(ΔJ))\text{Log}_{\mathcal{X}}^{-1}(\text{Int}(\Delta_{J})), normalized to inf(ϕC​Y,J,t−ϕ0∘Log𝒳)=0\inf(\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}})=0, satisfying

dμt({ϕC​Y,J,t−ϕ0∘Log𝒳≥κ/4})<λ,d\mu_{t}(\{\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}}\geq\kappa/4\})<\lambda,

and ‖ϕC​Y,J,t−ϕ0∘Log𝒳‖L∞≤C\left\lVert\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}}\right\rVert_{L^{\infty}}\leq C independent of λ,κ\lambda,\kappa and small tt.

00AF

Proof. By construction in Lemma 4.1, the local potential ϕJ,t\phi_{J,t} of ωF​S,t\omega_{FS,t} is ϵ\epsilon-close to ϕ0∘Log𝒳\phi_{0}\circ\text{Log}_{\mathcal{X}}, and since ϵ≪κ\epsilon\ll\kappa these two are practically the same. Up to an overall normalisation constant, which is fixed by inf=0\inf=0, we have ϕC​Y,J,t=ϕC​Y,t+ϕJ,t,\phi_{CY,J,t}=\phi_{CY,t}+\phi_{J,t}, so the measure bound follows from the previous result.

The uniform L∞L^{\infty} bound follows from Prop. 4.3 and Lemma 4.1 without any reference to λ,κ\lambda,\kappa. ∎

Given 0<τ≪10<\tau\ll 1, we consider the region obtained from shrinking the nn-dimensional faces near the boundary:

UJ,t,τ=Log𝒳−1​(ΔJ∖{|xi|<τ,|1−∑1nxi|<τ}).U_{J,t,\tau}=\text{Log}_{\mathcal{X}}^{-1}(\Delta_{J}\setminus\{|x_{i}|<\tau,|1-\sum_{1}^{n}x_{i}|<\tau\}).

The following theorem is a precise formulation for Cl​o​c0C^{0}_{loc}-convergence of the local CY potentials to ϕ0\phi_{0} over the nn-dimensional open faces of S​k​(X)Sk(X) as t→0t\to 0.

00AG

Theorem 4.7. (Cl​o​c0C^{0}_{loc}-convergence estimate on the potential) Given 0<τ,κ≪10<\tau,\kappa\ll 1, then for sufficiently small tt, on each UJ,t,τU_{J,t,\tau} there is a C0C^{0}-bound

0≤ϕC​Y,J,t−ϕ0∘Log𝒳<κ.0\leq\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}}<\kappa.
00AH

Proof. We need to obtain upper bound on ϕC​Y,J,t\phi_{CY,J,t}. Consider z∈UJ,t,τz\in U_{J,t,\tau} and x=Log𝒳​(z)x=\text{Log}_{\mathcal{X}}(z). Let r≪τr\ll\tau be a parameter to be fixed, so B⁡(x,3​r)⊂Int​(ΔJ)B(x,3r)\subset\text{Int}(\Delta_{J}). The function ϕ0\phi_{0} has an a priori Lipschitz estimate on Δ𝒳\Delta_{\mathcal{X}}, so the oscillation of ϕ0\phi_{0} on B⁡(x,3​r)B(x,3r) is less than C​r≪κCr\ll\kappa by choosing rr small enough.

Now we apply the mean value inequality to the psh function ϕC​Y,J,t\phi_{CY,J,t} on a ball in the local covering space of UJ,t,τ⊂(ℂ∗)nU_{J,t,\tau}\subset(\mathbb{C}^{*})^{n}, which projects to B⁡(x,r)B(x,r) via Log𝒳\text{Log}_{\mathcal{X}}. We have

ϕC​Y,J,t(z)≤−∫b​a​l​lϕC​Y,J,t,\phi_{CY,J,t}(z)\leq\mathchoice{{\vbox{\hbox{$\textstyle-$ }}\kern-7.83337pt}}{{\vbox{\hbox{$\scriptstyle-$ }}\kern-6.11674pt}}{{\vbox{\hbox{$\scriptscriptstyle-$ }}\kern-5.48965pt}}{{\vbox{\hbox{$\scriptscriptstyle-$ }}\kern-5.31259pt}}\!\int_{ball}\phi_{CY,J,t},

hence

(ϕC​Y,J,t−ϕ0∘Log𝒳)​(z)≤oscB⁡(r)​ϕ0+−∫b​a​l​l(ϕC​Y,J,t−ϕ0∘Log𝒳)≤κ10+−∫b​a​l​l(ϕC​Y,J,t−Log𝒳).\begin{split}(\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}})(z)&\leq\text{osc}_{B(r)}\phi_{0}+\mathchoice{{\vbox{\hbox{$\textstyle-$ }}\kern-7.83337pt}}{{\vbox{\hbox{$\scriptstyle-$ }}\kern-6.11674pt}}{{\vbox{\hbox{$\scriptscriptstyle-$ }}\kern-5.48965pt}}{{\vbox{\hbox{$\scriptscriptstyle-$ }}\kern-5.31259pt}}\!\int_{ball}(\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}})\\ &\leq\frac{\kappa}{10}+\mathchoice{{\vbox{\hbox{$\textstyle-$ }}\kern-7.83337pt}}{{\vbox{\hbox{$\scriptstyle-$ }}\kern-6.11674pt}}{{\vbox{\hbox{$\scriptscriptstyle-$ }}\kern-5.48965pt}}{{\vbox{\hbox{$\scriptscriptstyle-$ }}\kern-5.31259pt}}\!\int_{ball}(\phi_{CY,J,t}-\text{Log}_{\mathcal{X}}).\end{split}

But on the ball ϕC​Y,J,t−Log𝒳<κ/4\phi_{CY,J,t}-\text{Log}_{\mathcal{X}}<\kappa/4, except on a subset of the ball with d​μtd\mu_{t}-percentage ≤C​λ​r−n\leq C\lambda r^{-n}, on which we use the coarser bound ϕC​Y,J,t−ϕ0∘Log𝒳≤C\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}}\leq C. Combining these,

(ϕC​Y,J,t−ϕ0∘Log𝒳)​(z)<κ/2+C​λ​r−n<κ,(\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}})(z)<\kappa/2+C\lambda r^{-n}<\kappa,

by choosing λ\lambda sufficiently small depending on κ,τ\kappa,\tau. ∎

00AI

Remark 4.8. The above estimates do not use the full strength of the regularisation lemma 4.2. We only use the L1L^{1}-stability of the volume density, not the metric information.

4.4 Potential estimate II

Here we present a second strategy for the potential estimate, which aims to circumvent the uniform L1L^{1}-stability estimate Theorem 2.6, and we explain why there is a difficulty with this second approach. Readers who wish to follow the main line of the proof may skip this section.

00AJ

Lemma 4.9. Given 0<δ≪10<\delta\ll 1, then for 0<ϵ≪10<\epsilon\ll 1 depending on δ\delta, and tt small enough depending on ϵ,δ\epsilon,\delta,

∫Log𝒳−1​(Wδ)d⁡(ψt−ϕC​Y,t)∧dc​(ψt−ϕC​Y,t)∧(d​dc​ϕ0∘Log𝒳)n−1≤C​δ|log⁡|t||n,\int_{\text{Log}_{\mathcal{X}}^{-1}(W_{\delta})}d(\psi_{t}-\phi_{CY,t})\wedge d^{c}(\psi_{t}-\phi_{CY,t})\wedge(dd^{c}\phi_{0}\circ\text{Log}_{\mathcal{X}})^{n-1}\leq\frac{C\delta}{|\log|t||^{n}},

where CC is independent of δ,ϵ,t\delta,\epsilon,t.

00AK

Proof. Pretending everything is smooth, a standard integration by part gives

∫Xt(ψt−ϕC​Y,t)​(ωC​Y,tn−ωψ,tn)=∫Xt(ψt−ϕC​Y,t)​d​dc​(−ψt+ϕC​Y,t)∧(ωC​Y,tn−1+…+ωψ,tn−1)=∫Xtd⁡(ψt−ϕC​Y,t)∧dc​(ψt−ϕC​Y,t)∧(ωC​Y,tn−1+…+ωψ,tn−1)≥∫Xtd⁡(ψt−ϕC​Y,t)∧dc​(ψt−ϕC​Y,t)∧ωψ,tn−1.\begin{split}&\int_{X_{t}}(\psi_{t}-\phi_{CY,t})(\omega_{CY,t}^{n}-\omega_{\psi,t}^{n})\\ =&\int_{X_{t}}(\psi_{t}-\phi_{CY,t})dd^{c}(-\psi_{t}+\phi_{CY,t})\wedge(\omega_{CY,t}^{n-1}+\ldots+\omega_{\psi,t}^{n-1})\\ =&\int_{X_{t}}d(\psi_{t}-\phi_{CY,t})\wedge d^{c}(\psi_{t}-\phi_{CY,t})\wedge(\omega_{CY,t}^{n-1}+\ldots+\omega_{\psi,t}^{n-1})\\ \geq&\int_{X_{t}}d(\psi_{t}-\phi_{CY,t})\wedge d^{c}(\psi_{t}-\phi_{CY,t})\wedge\omega_{\psi,t}^{n-1}.\end{split}

The same calculations work for continuous ωF​S,t\omega_{FS,t}-psh functions by standard pluripotential theory.

Combine ‖ϕC​Y,t‖L∞≤C\left\lVert\phi_{CY,t}\right\rVert_{L^{\infty}}\leq C with the total variation bound in Lemma 4.2,

∫Xt||log⁡|t||n​ωψ,tn(Ln)−d​μt|<δ,\int_{X_{t}}|\frac{|\log|t||^{n}\omega_{\psi,t}^{n}}{(L^{n})}-d\mu_{t}|<\delta,

we get

∫Xtd⁡(ψt−ϕC​Y,t)∧dc​(ψt−ϕC​Y,t)∧ωψ,tn−1≤C​∫Xt|ωC​Y,tn−ωψ,tn|≤C​δ|log⁡|t||n.\int_{X_{t}}d(\psi_{t}-\phi_{CY,t})\wedge d^{c}(\psi_{t}-\phi_{CY,t})\wedge\omega_{\psi,t}^{n-1}\leq C\int_{X_{t}}|\omega_{CY,t}^{n}-\omega_{\psi,t}^{n}|\leq\frac{C\delta}{|\log|t||^{n}}.

Again by Lemma 4.2, the metric ωψ,t\omega_{\psi,t} is uniformly controlled a.e. on Log𝒳−1​(Wδ)\text{Log}_{\mathcal{X}}^{-1}(W_{\delta}), so

∫Log𝒳−1​(Wδ)d⁡(ψt−ϕC​Y,t)∧dc​(ψt−ϕC​Y,t)∧(d​dc​ϕ0∘Log𝒳)n−1≤C​δ|log⁡|t||n.\int_{\text{Log}_{\mathcal{X}}^{-1}(W_{\delta})}d(\psi_{t}-\phi_{CY,t})\wedge d^{c}(\psi_{t}-\phi_{CY,t})\wedge(dd^{c}\phi_{0}\circ\text{Log}_{\mathcal{X}})^{n-1}\leq\frac{C\delta}{|\log|t||^{n}}.

∎

An outline of this strategy is

  • •

    Choose some suitable integral normalisation on ϕC​Y,t\phi_{CY,t}. Apply Poincaré inequality to prove the average L2L^{2}-integral of ψt−ϕC​Y,t\psi_{t}-\phi_{CY,t} is small in the generic region WδW_{\delta}, which occupies most of the d​μtd\mu_{t}-measure.

  • •

    Deduce the measure is small on the set where ϕC​Y,t−ψt\phi_{CY,t}-\psi_{t} is perceptibly negative.

  • •

    Apply the stability estimate Cor. 2.3 to show ϕC​Y,t−ψt\phi_{CY,t}-\psi_{t} cannot be perceptibly negative. Since ‖ψt‖C0\left\lVert\psi_{t}\right\rVert_{C^{0}} is negligible, it shows the minimum of ϕC​Y,t\phi_{CY,t} is almost zero.

  • •

    Using the small L2L^{2}-average bound on ϕC​Y,t\phi_{CY,t}, one applies the mean value inequality to derive a small upper bound on ϕC​Y,t\phi_{CY,t} in the generic region WδW_{\delta}.

The problem lies in the fact that the nn-dimensional open faces Int​(ΔJ)\text{Int}(\Delta_{J}) of S​k​(X)Sk(X) are disconnected, so the average values on each face are a priori unrelated. Thus the Poincaré inequality can only imply a small bound on ϕC​Y,t−ψt\phi_{CY,t}-\psi_{t} with a priori different normalisations associated to each open face, which is not good enough to get a small bound on average L2L^{2}-integral of ψt−ϕC​Y,t\psi_{t}-\phi_{CY,t}.

4.5 Metric convergence and SYZ fibration

Given the Cl​o​c0C^{0}_{loc}-convergence estimate Theorem 4.7, then the metric SYZ conjecture would follow as explained in [32]. The most important step is the following Cl​o​c∞C^{\infty}_{loc}-convergence result in the generic region. Recall the exhaustion WδW_{\delta} for the regular locus of the real MA solution ϕ0\phi_{0}. The open subsets Log𝒳−1​(Wδ)\text{Log}_{\mathcal{X}}^{-1}(W_{\delta}) occupy almost the full percentage of the d​μtd\mu_{t}-measure on XtX_{t} for small δ,t\delta,t, and as such deserve the name ‘generic region’.

00AL

Theorem 4.10. (Metric Cl​o​c∞C^{\infty}_{loc}-convergence in the generic region) For any given 0<δ≪10<\delta\ll 1, then as t→0t\to 0,

‖ϕC​Y,J,t−ϕ0∘Log𝒳‖Ck​(Log𝒳−1​(Wδ))→0,\left\lVert\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}}\right\rVert_{C^{k}(\text{Log}_{\mathcal{X}}^{-1}(W_{\delta}))}\to 0,

where the CkC^{k}-norm is defined by passing to the local universal cover of Log𝒳−1​(Wδ)⊂(ℂ∗)n\text{Log}_{\mathcal{X}}^{-1}(W_{\delta})\subset(\mathbb{C}^{*})^{n} with preferred coordinates ζi=1log⁡|t|​log⁡zi\zeta_{i}=\frac{1}{\log|t|}\log z_{i} for i=1,2,…,ni=1,2,\ldots,n.

00AM

Proof. By the calculations in the proof of Lemma 4.2,

(d​dc​ϕ0∘Log𝒳)n=n!​det(D2​ϕ0)​∏i14​π​−1​d​ζi∧d​ζ¯i,(dd^{c}\phi_{0}\circ\text{Log}_{\mathcal{X}})^{n}=n!\det(D^{2}\phi_{0})\prod_{i}\frac{1}{4\pi}\sqrt{-1}d\zeta_{i}\wedge d\bar{\zeta}_{i},

while the CY condition gives (cf. section 3.1)

(d​dc​ϕC​Y,J,t)n=ωC​Y,tn=(Ln)|log⁡|t||n​d​μt=(Ln)|log⁡|t||n​∫XtΩt∧Ω¯t​Ωt∧Ω¯t=(Ln)​|log⁡|t||n∫Xt−1n2​Ωt∧Ω¯t​|uJ|2​∏i−1​d​ζi∧d​ζ¯i,\begin{split}&(dd^{c}\phi_{CY,J,t})^{n}=\omega_{CY,t}^{n}=\frac{(L^{n})}{|\log|t||^{n}}d\mu_{t}=\frac{(L^{n})}{|\log|t||^{n}\int_{X_{t}}\Omega_{t}\wedge\overline{\Omega}_{t}}\Omega_{t}\wedge\overline{\Omega}_{t}\\ =&\frac{(L^{n})|\log|t||^{n}}{\int_{X_{t}}\sqrt{-1}^{n^{2}}\Omega_{t}\wedge\overline{\Omega}_{t}}|u_{J}|^{2}\prod_{i}\sqrt{-1}d\zeta_{i}\wedge d\bar{\zeta}_{i},\end{split}

where uJu_{J} is a holomorphic function of the defining functions z0,…​znz_{0},\ldots z_{n} of the divisors EiE_{i}, with limiting value uJ​(EJ)≠0u_{J}(E_{J})\neq 0. The two expressions are matched by the condition that Log𝒳∗dμt\text{Log}_{\mathcal{X}*}d\mu_{t} converge to d​μ0d\mu_{0} as t→0t\to 0, which boils down to

(d​dc​ϕC​Y,J,t)n=n!​det(D2​ϕ0)​|uJ|2|uJ​(EJ)|2​∏i14​π​−1​d​ζi∧d​ζ¯i.(dd^{c}\phi_{CY,J,t})^{n}=n!\det(D^{2}\phi_{0})\frac{|u_{J}|^{2}}{|u_{J}(E_{J})|^{2}}\prod_{i}\frac{1}{4\pi}\sqrt{-1}d\zeta_{i}\wedge d\bar{\zeta}_{i}.

Since uJu_{J} has a Taylor expansion in z0,…​znz_{0},\ldots z_{n}, we see that |uJ|2|uJ​(EJ)|2=1+f\frac{|u_{J}|^{2}}{|u_{J}(E_{J})|^{2}}=1+f for some smooth function ff in ζ1,…,ζn\zeta_{1},\ldots,\zeta_{n} with exponentially small CkC^{k}-norm bound

‖f‖Ck​(Log𝒳−1​(Wδ))≲kexp(−c(Wδ)|log|t||)\left\lVert f\right\rVert_{C^{k}(\text{Log}_{\mathcal{X}}^{-1}(W_{\delta}))}\lesssim_{k}\exp(-c(W_{\delta})|\log|t||)

for some exponent c⁡(Wδ)>0c(W_{\delta})>0 depending on WδW_{\delta}.

We focus on balls in the local universal cover of Log𝒳−1​(Wδ)\text{Log}_{\mathcal{X}}^{-1}(W_{\delta}) with definite size in the ζi\zeta_{i} coordinates. For sufficiently small tt, then the volume relative error ff has arbitrarily small CkC^{k}-norm bound, and Theorem 4.7 says the C0C^{0}-norm of ϕC​Y,J,t−ϕ0∘Log𝒳\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}} on the ball is also arbitrarily small. Thus we can apply Savin’s theorem 2.8, to deduce that ‖ϕC​Y,J,t−ϕ0∘Log𝒳‖Ck\left\lVert\phi_{CY,J,t}-\phi_{0}\circ\text{Log}_{\mathcal{X}}\right\rVert_{C^{k}} is arbitrarily small on shrinked balls. Since WδW_{\delta} for varying δ\delta give an exhaustion of the regular locus of ϕ0\phi_{0}, this shrinking can be compensated by starting with a larger WδW_{\delta}, and we deduce the CkC^{k}-convergence estimate as required. ∎

The geometric meaning is that inside the generic region, the CY metric ωC​Y,t\omega_{CY,t} is C∞C^{\infty}-close to a semiflat metric:

ωC​Y,t∼d​dc​ϕ0∘Log𝒳=14​π​|log⁡|t||2​∑1≤i,j≤n∂2ϕ0∂xi​∂xj​−1​d​log⁡zi∧d​log⁡z¯j.\omega_{CY,t}\sim dd^{c}\phi_{0}\circ\text{Log}_{\mathcal{X}}=\frac{1}{4\pi|\log|t||^{2}}\sum_{1\leq i,j\leq n}\frac{\partial^{2}\phi_{0}}{\partial x_{i}\partial x_{j}}\sqrt{-1}d\log z_{i}\wedge d\log\bar{z}_{j}.

In terms of the Riemannian metric tensors,

gC​Y,t∼12​π​|log⁡|t||2​Re​{∑1≤i,j≤n∂2ϕ0∂xi​∂xj​d​log⁡zi⊗d​log⁡z¯j}.g_{CY,t}\sim\frac{1}{2\pi|\log|t||^{2}}\text{Re}\{\sum_{1\leq i,j\leq n}\frac{\partial^{2}\phi_{0}}{\partial x_{i}\partial x_{j}}d\log z_{i}\otimes d\log\bar{z}_{j}\}. (11)

The name ‘semiflat’ means the metric restricted to the TnT^{n}-fibres are flat Euclidean. The TnT^{n}-fibres are precisely special Lagrangian in the model case

{ωs​e​m​i​f​l​a​t=14​π​|log⁡|t||2​∑1≤i,j≤n∂2ϕ0∂xi​∂xj​−1​d​log⁡zi∧d​log⁡z¯j,Ωs​e​m​i​f​l​a​t=const⋅∏1nd​log⁡zi,\begin{cases}\omega_{semiflat}=\frac{1}{4\pi|\log|t||^{2}}\sum_{1\leq i,j\leq n}\frac{\partial^{2}\phi_{0}}{\partial x_{i}\partial x_{j}}\sqrt{-1}d\log z_{i}\wedge d\log\bar{z}_{j},\\ \Omega_{semiflat}=\text{const}\cdot\prod_{1}^{n}d\log z_{i},\end{cases}

or equivalently

Log𝒳:(z1,…​zn)↦1log⁡|t|​(log⁡|z1|,…​log⁡|zn|)\text{Log}_{\mathcal{X}}:(z_{1},\ldots z_{n})\mapsto\frac{1}{\log|t|}(\log|z_{1}|,\ldots\log|z_{n}|)

is a special Lagrangian fibration in the model case for some choice of the phase angle. Since (ωC​Y,t,Ωt)(\omega_{CY,t},\Omega_{t}) is C∞C^{\infty}-close to the model case, standard perturbation theory allows one to perturb the TnT^{n}-fibres into special Lagrangians with respect to (ωC​Y,t,Ωt)(\omega_{CY,t},\Omega_{t}) in the generic region, to obtain a new special Lagrangian fibration. The details are carried out in [49], and more expositions can be found in [32].

00AN

Theorem 4.11. (Special Lagrangian fibration on the generic region) For any given 0<δ≪10<\delta\ll 1, then for tt sufficiently small depending on δ\delta, there is a special Lagrangian fibration on an open subset of (Xt,ωC​Y,t,Ωt)(X_{t},\omega_{CY,t},\Omega_{t}) containing WδW_{\delta}.

Consequently, assuming as always the comparison property between NA MA equation and real MA equation, then the special Lagrangian fibration exists on an open subset of arbitrarily large percentage of XtX_{t} as t→0t\to 0, which is the main theorem of the paper.

Finally we make a few comments about the status of the Kontsevich-Soibelman/Gross-Wilson conjecture, which says that given a polarised algebraic maximally degenerate family of CY manifolds, whose holonomy groups are exactly S​U​(n)SU(n), the Gromov-Hausdorff limit of the CY metrics gC​Y,tg_{CY,t} is the essential skeleton S​k​(X)Sk(X) equipped with a real Monge-Ampère metric on the regular locus, the singular locus has real codimension 2, and S​k​(X)Sk(X) is homeomorphic to SnS^{n}.

What follows quickly from the metric asymptote (11) and [32] are the following facts, assuming the comparison property:

  • •

    Over the regular locus of ϕ0\phi_{0} inside each nn-dimensional open faces Int​(ΔJ)\text{Int}(\Delta_{J}), the metrics gC​Y,tg_{CY,t} converge in the Gromov-Hausdorff sense to a real MA metric as t→0t\to 0:

    gC​Y,t→12​π​∑1≤i,j≤n∂2ϕ0∂xi​∂xj​d​xi⊗d​xj.g_{CY,t}\to\frac{1}{2\pi}\sum_{1\leq i,j\leq n}\frac{\partial^{2}\phi_{0}}{\partial x_{i}\partial x_{j}}dx_{i}\otimes dx_{j}.

    This is immediate from the much stronger Cl​o​c∞C^{\infty}_{loc} metric asymptote (11).

  • •

    There is a uniform diameter bound diam​(Xt,gC​Y,t)≤C\text{diam}(X_{t},g_{CY,t})\leq C [32, Prop. 5.11][34].

  • •

    Any point in Xt∖WδX_{t}\setminus W_{\delta} is within C​δ1/2​nC\delta^{1/2n}-distance to a point on WδW_{\delta} for sufficiently small tt. This follows from the Bishop-Gromov comparison argument in [32, section 5.3].

  • •

    Consequently, the regular locus W0W_{0} of ϕ0\phi_{0} inside the union of nn-dimensional open faces of S​k​(X)Sk(X), is an open dense subset of any Gromov-Hausdorff limit space of (Xt,gC​Y,t)(X_{t},g_{CY,t}).

00AP

Remark 4.12. Notice there is a gap between the above results and the Gromov-Hausdorff convergence to the real MA metric on S​k​(X)Sk(X) defined by the Hessian of ϕ0\phi_{0}, because the nn-dimensional open faces are disconnected, and therefore we cannot access the distance of two points on different faces. One needs further information on the (n−1)(n-1)-dimensional faces of S​k​(X)Sk(X).

What remains to be resolved are the following questions, which seem to contain substantial difficulty:

  • •

    Prove the comparison property.

  • •

    Formulate a global notion of convex functions and the real MA equation on S​k​(X)Sk(X), instead of just on the nn-dimensional open faces. Notice this is nontrivial because S​k​(X)Sk(X) only has a piecewise affine structure, not a global affine structure. See section 5.3 for some closely related discussions.

  • •

    Develop a regularity theory for such real MA metrics, and prove/disprove that the singular locus has real codimension at least two. Notice this is false for real MA equations on the unit ball by a counterexample of Mooney [35], so if it is true then there has to be a global reason.

  • •

    The regularity theory should also show that S​k​(X)Sk(X) equipped with the real MA metric has the same topology as S​k​(X)Sk(X) viewed as a simplicial complex. This is nontrivial because a priori the real MA equation can have singularities which contract lines to points, and the singular set may even be quite fractal, such as in Mooney’s example.

  • •

    Prove an enhanced version of the comparison property between NA MA equation and real MA equation, which works globally on all faces of S​k​(X)Sk(X), not just on the nn-dimensional open faces.

  • •

    Extend the arguments in this paper over the global regular locus of ϕ0\phi_{0}, to show that the CY metrics converge smoothly there as well. Use this to identify the Gromov-Hausdorff limit of (Xt,gC​Y,t)(X_{t},g_{CY,t}) with S​k​(X)Sk(X) equipped with the real MA metric defined by the Hessian of ϕ0\phi_{0}.

  • •

    Show that S​k​(X)Sk(X) with the standard topology is homeomorphic to SnS^{n}. This question does not refer to the metric, and is much studied in birational geometry [36][37]. This can be checked explicitly for many examples. In general, it is known that S​k​(X)Sk(X) is a ‘pseudomanifold’, its ℚ\mathbb{Q}-homology groups agree with SnS^{n}, and its fundamental group has trivial profinite completion, but the actual homeomorphism type is still elusive.

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