ScalingStacks

4. Examples [04U5]

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4. Examples

In this section we construct examples of solutions to detD2​u=1\det D^{2}u=1 in ℝ3\mathbb{R}^{3} such that Σ\Sigma has Hausdorff dimension as close to 22 as we like. A small modification produces the analagous examples in ℝn\mathbb{R}^{n}.

For this section, fix δ>0\delta>0 small. We construct our examples in several steps, which we briefly describe:

  1. (i)

    First, we construct functions ww with

    detD2​w≥1\det D^{2}w\geq 1

    in ℝ3\mathbb{R}^{3} that degenerate along {x1=x2=0}\{x_{1}=x_{2}=0\} and behave like x12−δx_{1}^{2-\delta} along the x1x_{1} axis.

  2. (ii)

    Next, we construct a standard S⊂[−1,1]S\subset[-1,1] with Hausdorff dimension close to 11 and a convex function vv on [−1,1][-1,1] such that for any x∈Sx\in S, there is a tangent line such that vv separates from this line faster than r2−δr^{2-\delta}.

  3. (iii)

    Finally, we get our example by solving the Dirichlet problem

    detD2u=1 in Ω={|x′|<1}×[−1,1],u|∂Ω=C(δ)(v(x1)+|x2|)\det D^{2}u=1\quad\text{ in }\Omega=\{|x^{\prime}|<1\}\times[-1,1],\quad\quad u|_{\partial\Omega}=C(\delta)(v(x_{1})+|x_{2}|)

    and comparing with ww at points in S×{0}×{±1}S\times\{0\}\times\{\pm 1\}.

In the following analysis cc and CC will denote small and large constants depending on δ\delta.

Construction of ww: We look for a convex function w⁡(x1,x2,x3)w(x_{1},x_{2},x_{3}) with the homogeneity

w⁡(x1,x2,x3)=1λ​h​(λ1/α​x1,λ1/β​x2)​(1+x32),w(x_{1},x_{2},x_{3})=\frac{1}{\lambda}h(\lambda^{1/\alpha}x_{1},\lambda^{1/\beta}x_{2})(1+x_{3}^{2}),

where α\alpha and β\beta satisfy 1<α,β<21<\alpha,\beta<2 and

1α+1β=32.\frac{1}{\alpha}+\frac{1}{\beta}=\frac{3}{2}.

(It is easy to check that ≥3/2\geq 3/2 is necessary for such a function to have detD2​w\det D^{2}w bounded below). Note that this rescaling preserves the curves x2=m​x1α/βx_{2}=mx_{1}^{\alpha/\beta}.

Let f⁡(x)f(x) denote 1+x21+x^{2}. An obvious candidate for ww is

w⁡(x1,x2,x3)=(x1α+x2β)​f​(x3).w(x_{1},x_{2},x_{3})=(x_{1}^{\alpha}+x_{2}^{\beta})f(x_{3}).

One checks that

detD2​w\displaystyle\det D^{2}w =|x1|2​α−2​|x2|β−2​(α​β​(α−1)​(β−1)​f2−α2​β​(β−1)​f​x32)\displaystyle=|x_{1}|^{2\alpha-2}|x_{2}|^{\beta-2}\left(\alpha\beta(\alpha-1)(\beta-1)f^{2}-\alpha^{2}\beta(\beta-1)fx_{3}^{2}\right)
+|x1|α−2​|x2|2​β−2​(α​β​(α−1)​(β−1)​f2−α​β2​(α−1)​f​x32).\displaystyle+|x_{1}|^{\alpha-2}|x_{2}|^{2\beta-2}\left(\alpha\beta(\alpha-1)(\beta-1)f^{2}-\alpha\beta^{2}(\alpha-1)fx_{3}^{2}\right).

Take α=2−δ\alpha=2-\delta. Then for |x3||x_{3}| small depending on δ\delta we have

detD2​w≥c⁡(δ)​(|x1|2​α−2​|x2|β−2+|x1|α−2​|x2|2​β−2).\det D^{2}w\geq c(\delta)(|x_{1}|^{2\alpha-2}|x_{2}|^{\beta-2}+|x_{1}|^{\alpha-2}|x_{2}|^{2\beta-2}).

Along the curves x2=m​x1α/βx_{2}=mx_{1}^{\alpha/\beta}, we compute

detD2​w≥c⁡(δ)​(|m|β−2+|m|2​β−2)≥c⁡(δ),\det D^{2}w\geq c(\delta)(|m|^{\beta-2}+|m|^{2\beta-2})\geq c(\delta),

since 1<β<21<\beta<2.

Thus, up to rescaling the x3x_{3}-axis and multiplying by a constant, we have

detD2w≥1 in Ω={|x′|<1}×[−1,1].\det D^{2}w\geq 1\quad\text{ in }\Omega=\{|x^{\prime}|<1\}\times[-1,1].

Construction of SS: Let ϵ>0\epsilon>0 be a small constant we will choose shortly depending on δ\delta. Construct a self-similar set in [−1/2,1/2][-1/2,1/2] as follows: First, remove an open interval of length γ=1−2−3​ϵ\gamma=1-2^{-3\epsilon} from the center. Proceed inductively by removing intervals a fraction γ\gamma of each of those that remains. Denote the centers of the intervals removed at stage kk by {xi,k}i=12k\{x_{i,k}\}_{i=1}^{2^{k}}, and the intervals by Ii,kI_{i,k}. Finally, let

S=[−1/2,1/2]−∪i,kIi,k.S=[-1/2,1/2]-\cup_{i,k}I_{i,k}.

It is easy to check that |Ii,k+1|=γ​2−(1+3​ϵ)​k|I_{i,k+1}|=\gamma 2^{-(1+3\epsilon)k} and that SS has Hausdorff dimension 11+3​ϵ\frac{1}{1+3\epsilon}.

Construction of vv: Let

w⁡(x)={|x||x|≤12​|x|−1|x|>1w(x)=\left\{\begin{array}[]{ll}|x|&\quad|x|\leq 1\\ 2|x|-1&\quad|x|>1\end{array}\right.

We add rescalings of ww together to produce the desired function:

v⁡(x)=∑k=1∞∑i=12k2−2​(1+2​ϵ)​k​w​(γ−1​2(1+3​ϵ)​k​(x−xi,k)).v(x)=\sum_{k=1}^{\infty}\sum_{i=1}^{2^{k}}2^{-2(1+2\epsilon)k}w(\gamma^{-1}2^{(1+3\epsilon)k}(x-x_{i,k})).

We now check that vv satisfies the desired properties:

  1. (i)

    v is convex, as the sum of convex functions. Furthermore,

    |v⁡(x)|\displaystyle|v(x)| ≤C​∑k=1∞∑i=12k2−(1+ϵ)​k\displaystyle\leq C\sum_{k=1}^{\infty}\sum_{i=1}^{2^{k}}2^{-(1+\epsilon)k}
    ≤C​∑k=1∞2−ϵ​k,\displaystyle\leq C\sum_{k=1}^{\infty}2^{-\epsilon k},

    so vv is bounded.

  2. (ii)

    Let x∈Sx\in S. We aim to show that vv separates from a tangent line more than r2−δr^{2-\delta} a distance rr from xx. By subtracting a line assume that v⁡(x)=0v(x)=0 and that 00 is a subgradient at xx. Assume further that x+r<1/2x+r<1/2 and that 2−(1+3​ϵ)​k<r≤2−(1+3​ϵ)​(k−1)2^{-(1+3\epsilon)k}<r\leq 2^{-(1+3\epsilon)(k-1)}. There are two cases to examine:

    Case 1: There is some y∈(x+r/2,x+r)∩Sy\in(x+r/2,x+r)\cap S. Then by the construction of SS it is easy to see that there is some interval Ii,kI_{i,k} such that Ii,k⊂(x,x+r)I_{i,k}\subset(x,x+r). On this interval, vv grows by

    2−2​(1+2​ϵ)​k≥c​r2​1+2​ϵ1+3​ϵ=c​r2−δ,2^{-2(1+2\epsilon)k}\geq cr^{2\frac{1+2\epsilon}{1+3\epsilon}}=cr^{2-\delta},

    where we choose ϵ\epsilon so that

    δ=2​ϵ1+3​ϵ.\delta=\frac{2\epsilon}{1+3\epsilon}.

    Case 2: Otherwise, there is an interval Ii,jI_{i,j} of length exceeding r/2r/2 such that (x+r/2,x+r)⊂Ii,j(x+r/2,x+r)\subset I_{i,j}. Then at the left point of Ii,jI_{i,j}, the slope of vv jumps by at least 2−(1+ϵ)​k2^{-(1+\epsilon)k}. It follows that at x+rx+r, vv is at least

    r2​2−(1+ϵ)​k≥c​r2−δ.\frac{r}{2}2^{-(1+\epsilon)k}\geq cr^{2-\delta}.

    Thus, vv has the desired properties.

Construction of uu: We recall the following lemma on the solvability of the Monge-Ampère equation (see [Gut]).

Lemma 4.1.

If Ω\Omega is open and convex, μ\mu is a finite Borel measure and gg is continuous on ∂Ω\partial\Omega then there exists a unique convex solution u∈C⁡(Ω¯)u\in C(\bar{\Omega}) to the Dirichlet problem

detD2​u=μ,u|∂Ω=g.\det D^{2}u=\mu,\quad u|_{\partial\Omega}=g.

Let g⁡(x1,x2,x3)=C⁡(v⁡(x1)+|x2|)g(x_{1},x_{2},x_{3})=C(v(x_{1})+|x_{2}|) for a constant CC depending on δ\delta we will choose shortly, and obtain uu by solving the Dirichlet problem

detD2u=1 in Ω={|x′|<1}×[−1,1],u|∂Ω=g.\det D^{2}u=1\quad\text{ in }\Omega=\{|x^{\prime}|<1\}\times[-1,1],\quad\quad u|_{\partial\Omega}=g.

Take x∈S×{0}×{±1}x\in S\times\{0\}\times\{\pm 1\}. By translating and subtracting a linear function assume that x1=0x_{1}=0 and 00 is a subgradient for gg at xx. Taking CC large we guarantee that

g⁡(x1,x2,±1)>C⁡(x12−δ+|x2|)>w⁡(x1,x2,±1)g(x_{1},x_{2},\pm 1)>C(x_{1}^{2-\delta}+|x_{2}|)>w(x_{1},x_{2},\pm 1)

for all x1,x2x_{1},x_{2}, and that that g>wg>w on the sides of Ω\Omega. Thus, u≥wu\geq w in all of Ω\Omega. Since u=0u=0 at both (0,0,±1)(0,0,\pm 1) and w⁡(0,0,x3)=0w(0,0,x_{3})=0 for all |x3|<1|x_{3}|<1, we have by convexity that u=0u=0 along (0,0,x3)(0,0,x_{3}).

We conclude that Σ\Sigma contains S×{0}×(−1,1),S\times\{0\}\times(-1,1), which has Hausdorff dimension 1+11+3​ϵ=2−32​δ1+\frac{1}{1+3\epsilon}=2-\frac{3}{2}\delta.

Remark 4.2.

To get the analagous example in ℝn\mathbb{R}^{n}, take

u⁡(x1,x2,x3)+x42+…+xn2.u(x_{1},x_{2},x_{3})+x_{4}^{2}+...+x_{n}^{2}.

Observe that this solution has exactly the behavior described by Lemma 3.2, which says that uu must grow faster than quadratically in two directions. In the next section we show that for any ϵ\epsilon, these examples are not in W2,1+ϵW^{2,1+\epsilon} for δ\delta small enough.

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