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arXiv:2608.15845v2 [math.NT] 20 Aug 2026

Weighted singular vectors in common-base self-similar sets

Taehyeong Kim Address: Department of Mathematics, Brandeis University, 415 South Street, Waltham, MA 02453, USA Email address: taehyeongkim@brandeis.edu and Jaemin Park Address: Department of Mathematics and Research Institute of Natural Sciences, Sookmyung Women’s University, Cheongpa-ro 47-gil 100, Yongsan-ku, Seoul 04310, Korea Email address: jaemin.park@sookmyung.ac.kr
Abstract.

We prove a lower bound for the Hausdorff dimension of weighted totally irrational singular vectors in affine-spanning common-base integral self-similar sets satisfying the open set condition. For the middle-third Cantor square, the bound improves the previously known explicit lower bound.

2020 Mathematics Subject Classification
Primary 11J13; Secondary 11J83, 28A80

1. Introduction

Dirichlet’s theorem (1842), one of the foundational results in Diophantine approximation, asserts that, for every xnx\in\mathbb{R}^{n} and every T>1T>1, there are qq\in\mathbb{Z} and 𝐩n\mathbf{p}\in\mathbb{Z}^{n} such that

(1.1) 0<qT,qx𝐩T1/n.0<q\leq T,\qquad\|qx-\mathbf{p}\|\leq T^{-1/n}.

Here y:=max1in|yi|\|y\|:=\max_{1\leq i\leq n}|y_{i}| denotes the max norm on n\mathbb{R}^{n}. The vector xx is singular if Dirichlet’s inequality can be improved by an arbitrary factor: for every ε>0\varepsilon>0, the same conclusion as in (1.1) holds with εT1/n\varepsilon T^{-1/n} in place of T1/nT^{-1/n} for all sufficiently large TT. We denote the set of singular vectors in n\mathbb{R}^{n} by Sing(n)\operatorname{Sing}(n). Khintchine introduced singular vectors in [Khi26]. In dimension one, the singular vectors are precisely the rational numbers, so the dimension problem is trivial; it becomes nontrivial in higher dimension. We therefore assume n2n\geq 2 throughout. With dimH\dim_{H} denoting Hausdorff dimension, Cheung [Che11] proved that dimHSing(2)=4/3\dim_{H}\operatorname{Sing}(2)=4/3, and Cheung–Chevallier [CC16] proved that dimHSing(n)=n2/(n+1)\dim_{H}\operatorname{Sing}(n)=n^{2}/(n+1) for every n2n\geq 2. The corresponding matrix problems were studied by Kadyrov et al. [KKLM17] and Das et al. [DFSU24]. We restrict attention to vectors.

Weighted singularity allows different approximation rates in the coordinates. For a weight 𝐰=(w1,,wn)\mathbf{w}=(w_{1},\ldots,w_{n}), where 1>w1wn>01>w_{1}\geq\cdots\geq w_{n}>0 and i=1nwi=1\sum_{i=1}^{n}w_{i}=1, a vector xnx\in\mathbb{R}^{n} is 𝐰\mathbf{w}-singular if, for every ε>0\varepsilon>0, there is T0>1T_{0}>1 such that for every T>T0T>T_{0} there are qq\in\mathbb{Z} and 𝐩n\mathbf{p}\in\mathbb{Z}^{n} satisfying

(1.2) 0<q<T,max1in|qxipi|1/wi<εT.0<q<T,\qquad\max_{1\leq i\leq n}|qx_{i}-p_{i}|^{1/w_{i}}<\frac{\varepsilon}{T}.

We denote the set of such vectors by Sing(𝐰)\operatorname{Sing}(\mathbf{w}). When wi=1/nw_{i}=1/n for every ii, this definition recovers Sing(n)\operatorname{Sing}(n). In dimension two, Liao–Shi–Solan–Tamam [LSST20] proved dimHSing(𝐰)=21/(1+w1)\dim_{H}\operatorname{Sing}(\mathbf{w})=2-1/(1+w_{1}). For general nn, the authors [KP24] obtained the lower bound dimHSing(𝐰)n1/(1+w1)\dim_{H}\operatorname{Sing}(\mathbf{w})\geq n-1/(1+w_{1}). A vector x=(x1,,xn)nx=(x_{1},\ldots,x_{n})\in\mathbb{R}^{n} is called totally irrational if 1,x1,,xn1,x_{1},\ldots,x_{n} are linearly independent over \mathbb{Q}. We set

Sing(𝐰):={xSing(𝐰):x is totally irrational}.\operatorname{Sing}^{*}(\mathbf{w}):=\{x\in\operatorname{Sing}(\mathbf{w}):x\text{ is totally irrational}\}.

For equal weights we use the abbreviation Sing(n)\operatorname{Sing}^{*}(n).

Singular vectors have also been studied on submanifolds and fractals. Kleinbock–Moshchevitin–Weiss [KMW21] constructed totally irrational singular vectors with large uniform exponents on broad classes of analytic manifolds and fractals, while Shah–Yang [SY24] obtained Hausdorff-dimension upper bounds on affine subspaces in terms of their Diophantine exponents. In the weighted setting, Datta–Tamam [DT24] proved inheritance and existence results, and Kleinbock–Moshchevitin–Warren–Weiss [KMWW25] established strong intersection properties and quantitative rates for uniform approximation.

A basic unresolved dimension problem in the fractal setting already appears for the middle-third Cantor square. Let CC denote the middle-third Cantor set, and write C2=C×CC^{2}=C\times C. Bugeaud–Cheung–Chevallier [BCC19, Problem 6] asked for the Hausdorff dimension of

Sing(2)C2.\operatorname{Sing}(2)\cap C^{2}.

To the best of our knowledge, its exact value remains unknown. Khalil’s upper bound [Kha20], specialized to C2C^{2}, gives

dimH(Sing(2)C2)23dimH(C2)=4log23log3.\dim_{H}\bigl(\operatorname{Sing}(2)\cap C^{2}\bigr)\leq\frac{2}{3}\dim_{H}(C^{2})=\frac{4\log 2}{3\log 3}.

In the weighted setting, Aggarwal–Ghosh [AG26, Theorem 1.3, case (2), and Remark 1.4] give the upper bound

dimH(Sing(𝐰)C2)2w11+w1dimH(C2).\dim_{H}\bigl(\operatorname{Sing}(\mathbf{w})\cap C^{2}\bigr)\leq\frac{2w_{1}}{1+w_{1}}\dim_{H}(C^{2}).

On the lower-bound side, Schleischitz [Sch22, Theorem 4.2] obtained

dimH(Sing(2)C2)>0.1255.\dim_{H}\bigl(\operatorname{Sing}^{*}(2)\cap C^{2}\bigr)>0.1255.

The following theorem gives a weighted lower bound and, in the unweighted case, improves this estimate.

Theorem 1.1.

Let CC be the middle-third Cantor set and let 𝐰=(w1,w2)\mathbf{w}=(w_{1},w_{2}), where 1>w1w2>01>w_{1}\geq w_{2}>0 and w1+w2=1w_{1}+w_{2}=1. Then

dimH(Sing(𝐰)C2)(1w11+w1)2dimH(C2)=2(1w11+w1)2log2log3.\dim_{H}\bigl(\operatorname{Sing}^{*}(\mathbf{w})\cap C^{2}\bigr)\geq\left(\frac{1-w_{1}}{1+w_{1}}\right)^{2}\dim_{H}(C^{2})=2\left(\frac{1-w_{1}}{1+w_{1}}\right)^{2}\frac{\log 2}{\log 3}.

In particular,

dimH(Sing(2)C2)2log29log3.\dim_{H}\bigl(\operatorname{Sing}^{*}(2)\cap C^{2}\bigr)\geq\frac{2\log 2}{9\log 3}.

Since 2log2/(9log3)0.14022\log 2/(9\log 3)\approx 0.1402, Theorem 1.1 improves the explicit estimate of Schleischitz. Beyond the Cantor square, these bounds extend in different directions: Khalil’s upper-bound theorem applies to self-similar fractals satisfying the open set condition (OSC), the weighted upper bound of Aggarwal–Ghosh applies to Cartesian products of homogeneous one-dimensional self-similar sets satisfying OSC, and Schleischitz’s lower bounds apply to Cartesian products of common-base missing-digit sets. The construction behind Theorem 1.1 yields the following lower bound for common-base integral self-similar sets.

For AnA\subset\mathbb{R}^{n}, write aff(A)\operatorname{aff}_{\mathbb{R}}(A) for the smallest affine subspace of n\mathbb{R}^{n} containing AA. For a common-base integral self-similar set KK with digit set 𝒟n\mathcal{D}\subset\mathbb{Z}^{n} as in Definition 2.1, if aff(𝒟)n\operatorname{aff}_{\mathbb{R}}(\mathcal{D})\neq\mathbb{R}^{n}, then KK is contained in a rational affine hyperplane and hence KSing(𝐰)K\subset\operatorname{Sing}(\mathbf{w}). This case is trivial, so we restrict to aff(𝒟)=n\operatorname{aff}_{\mathbb{R}}(\mathcal{D})=\mathbb{R}^{n}.

Theorem 1.2.

Let KnK\subset\mathbb{R}^{n} be a common-base integral self-similar set with digit set 𝒟n\mathcal{D}\subset\mathbb{Z}^{n} as in Definition 2.1, and suppose that its defining system satisfies the open set condition as in Definition 2.2. Assume that aff(𝒟)=n\operatorname{aff}_{\mathbb{R}}(\mathcal{D})=\mathbb{R}^{n}. Then

dimH(Sing(𝐰)K)(1w11+w1)2dimHK.\dim_{H}\bigl(\operatorname{Sing}^{*}(\mathbf{w})\cap K\bigr)\geq\left(\frac{1-w_{1}}{1+w_{1}}\right)^{2}\dim_{H}K.

The relation among these vector-case dimension results is summarized in Table 1.

Reference Setting Conclusion
[Che11] Ambient 2\mathbb{R}^{2}, unweighted dimHSing(2)=4/3\dim_{H}\operatorname{Sing}(2)=4/3
[CC16] Ambient n\mathbb{R}^{n}, unweighted dimHSing(n)=n2/(n+1)\dim_{H}\operatorname{Sing}(n)=n^{2}/(n+1)
[LSST20] Ambient 2\mathbb{R}^{2}, weighted dimHSing(𝐰)=21/(1+w1)\dim_{H}\operatorname{Sing}(\mathbf{w})=2-1/(1+w_{1})
[KP24] Ambient n\mathbb{R}^{n}, weighted dimHSing(𝐰)n1/(1+w1)\dim_{H}\operatorname{Sing}(\mathbf{w})\geq n-1/(1+w_{1})
[Kha20] Self-similar fractals, unweighted Hausdorff-dimension upper bound
dimH(Sing(2)C2)23dimH(C2)\dim_{H}(\operatorname{Sing}(2)\cap C^{2})\leq\frac{2}{3}\dim_{H}(C^{2})
[AG26] Homogeneous self-similar products, weighted Hausdorff-dimension upper bound
dimH(Sing(𝐰)C2)2w11+w1dimH(C2)\dim_{H}(\operatorname{Sing}(\mathbf{w})\cap C^{2})\leq\frac{2w_{1}}{1+w_{1}}\dim_{H}(C^{2})
[Sch22] Common-base missing-digit products, unweighted Hausdorff-dimension lower bound
dimH(Sing(2)C2)>0.1255\dim_{H}(\operatorname{Sing}^{*}(2)\cap C^{2})>0.1255
This paper, Theorem 1.1 Middle-third Cantor square, weighted dimH(Sing(𝐰)C2)((1w1)/(1+w1))2dimH(C2)\dim_{H}(\operatorname{Sing}^{*}(\mathbf{w})\cap C^{2})\geq((1-w_{1})/(1+w_{1}))^{2}\dim_{H}(C^{2})
This paper, Theorem 1.2 Affine-spanning common-base integral self-similar sets, weighted dimH(Sing(𝐰)K)((1w1)/(1+w1))2dimHK\dim_{H}(\operatorname{Sing}^{*}(\mathbf{w})\cap K)\geq((1-w_{1})/(1+w_{1}))^{2}\dim_{H}K
Table 1. Selected Hausdorff-dimension results in the vector case.

We next briefly describe the main idea of the proof. In the base-bb coding of KK, we require all digits within each of a sequence of disjoint blocks to equal one fixed digit. Each block gives the required rational approximation for a range of values of the parameter TT in (1.2). The blocks are arranged so that these ranges overlap and cover all sufficiently large TT, making every point in the resulting set 𝐰\mathbf{w}-singular. The digits outside the prescribed blocks remain free. Under OSC, their lower density yields the Hausdorff-dimension estimate used below; optimizing the block lengths and positions gives the stated lower bound. Finally, the full affine-span assumption ensures that rational affine hyperplanes have zero measure for this construction, so the same bound holds after restricting to totally irrational points.

The paper is organized as follows. In Section 2, we develop the common-base setting, prove a dimension lower bound for sets obtained by prescribing digits, and establish that the associated measures, when there are infinitely many free positions, give zero mass to affine hyperplanes. Section 3 derives the approximation supplied by a constant-symbol block. The block construction is carried out in Section 4, and the required parameter estimates are proved in Section 5.

Use of artificial intelligence. OpenAI Codex was used as an auxiliary tool in checking selected calculations and arguments and in refining the exposition. The authors independently verified every mathematical argument, determined the final content and wording, and take full responsibility for the manuscript.

2. Common-base fractals and digit-freezing measures

This section introduces the common-base self-similar setting. We then derive a uniform cylinder estimate from OSC and use it to obtain a Hausdorff-dimension lower bound for sets obtained by prescribing digits. Under the full affine-span hypothesis, we also show that the associated measures give zero mass to affine hyperplanes provided that infinitely many positions remain free.

Definition 2.1 (Common-base integral self-similar sets and cylinders).

Fix an integer b2b\geq 2 and a finite digit set 𝒟n\mathcal{D}\subset\mathbb{Z}^{n} with #𝒟2\#\mathcal{D}\geq 2. The maps

F𝐚(x)=x+𝐚b,𝐚𝒟,F_{\mathbf{a}}(x)=\frac{x+\mathbf{a}}{b},\qquad\mathbf{a}\in\mathcal{D},

form a common-base integral self-similar system. This is a special case of Hutchinson’s general self-similar construction in which all similarities have the same linear part b1Ib^{-1}I and the digit vectors lie in n\mathbb{Z}^{n} [Hut81]. The unique nonempty compact set KK satisfying

K=𝐚𝒟F𝐚(K)K=\bigcup_{\mathbf{a}\in\mathcal{D}}F_{\mathbf{a}}(K)

is its common-base integral self-similar set.

For a word ξ=(ξ1,,ξN)𝒟N\xi=(\xi_{1},\ldots,\xi_{N})\in\mathcal{D}^{N}, let

Fξ:=Fξ1FξN,Kξ:=Fξ(K),F_{\xi}:=F_{\xi_{1}}\circ\cdots\circ F_{\xi_{N}},\qquad K_{\xi}:=F_{\xi}(K),

and call KξK_{\xi} the corresponding level-NN cylinder.

The associated coding map is the surjection

π:𝒟K,π(η):=r=1ηrbr,\pi:\mathcal{D}^{\mathbb{N}}\longrightarrow K,\qquad\pi(\eta):=\sum_{r=1}^{\infty}\eta_{r}b^{-r},

so that K=π(𝒟)K=\pi(\mathcal{D}^{\mathbb{N}}). For every ξ=(ξ1,,ξN)𝒟N\xi=(\xi_{1},\ldots,\xi_{N})\in\mathcal{D}^{N} and yKy\in K, direct iteration gives

(2.1) Fξ(y)=r=1Nξrbr+bNy,Kξ={π(η):η|N=ξ},F_{\xi}(y)=\sum_{r=1}^{N}\xi_{r}b^{-r}+b^{-N}y,\qquad K_{\xi}=\{\pi(\eta):\eta|_{N}=\xi\},

where η|N=(η1,,ηN)\eta|_{N}=(\eta_{1},\ldots,\eta_{N}).

Definition 2.2 (Open set condition).

The system in Definition 2.1 satisfies the open set condition (OSC) if there is a nonempty open set OnO\subset\mathbb{R}^{n} such that

F𝐚(O)Ofor every 𝐚𝒟,F𝐚(O)F𝐚(O)=if 𝐚𝐚.F_{\mathbf{a}}(O)\subset O\quad\text{for every }\mathbf{a}\in\mathcal{D},\qquad F_{\mathbf{a}}(O)\cap F_{\mathbf{a}^{\prime}}(O)=\varnothing\quad\text{if }\mathbf{a}\neq\mathbf{a}^{\prime}.
Remark 2.3.

If the common-base system satisfies OSC, then Hutchinson’s dimension theorem [Hut81, Theorem 5.3] gives

dimHK=log(#𝒟)logb.\dim_{H}K=\frac{\log(\#\mathcal{D})}{\log b}.

Equivalently, #𝒟=bdimHK\#\mathcal{D}=b^{\dim_{H}K}.

The next lemma records a uniform cylinder-counting estimate under OSC. Throughout, B(x,r)B(x,r) denotes the max-norm ball of radius rr centered at xx.

Lemma 2.4.

Suppose that the common-base system satisfies OSC. Then there is CK<C_{K}<\infty such that

supN1supxn#{ξ𝒟N:KξB(x,bN)}CK.\sup_{N\geq 1}\sup_{x\in\mathbb{R}^{n}}\#\left\{\xi\in\mathcal{D}^{N}:K_{\xi}\cap B(x,b^{-N})\neq\varnothing\right\}\leq C_{K}.
Proof.

Fix N1N\geq 1 and xnx\in\mathbb{R}^{n}. Let OO be an open set as in Definition 2.2. Choose zOz\in O and r>0r>0 such that B(z,r)OB(z,r)\subset O, and put

M:=maxyKzy.M:=\max_{y\in K}\|z-y\|.

Set

N,x:={ξ𝒟N:KξB(x,bN)}.\mathcal{I}_{N,x}:=\{\xi\in\mathcal{D}^{N}:K_{\xi}\cap B(x,b^{-N})\neq\varnothing\}.

For each ξN,x\xi\in\mathcal{I}_{N,x}, since Kξ=Fξ(K)K_{\xi}=F_{\xi}(K), choose yξKy_{\xi}\in K such that Fξ(yξ)B(x,bN)F_{\xi}(y_{\xi})\in B(x,b^{-N}). Since FξF_{\xi} has contraction ratio bNb^{-N},

Fξ(z)xbNzyξ+bN(M+1)bN.\|F_{\xi}(z)-x\|\leq b^{-N}\|z-y_{\xi}\|+b^{-N}\leq(M+1)b^{-N}.

Iterating OSC, the sets Fξ(O)F_{\xi}(O), ξ𝒟N\xi\in\mathcal{D}^{N}, are pairwise disjoint. Since B(z,r)OB(z,r)\subset O and FξF_{\xi} is a similarity, the balls

Aξ:=Fξ(B(z,r))=B(Fξ(z),rbN),ξN,x,A_{\xi}:=F_{\xi}(B(z,r))=B(F_{\xi}(z),rb^{-N}),\qquad\xi\in\mathcal{I}_{N,x},

are pairwise disjoint, and the preceding bound gives AξB(x,(M+1+r)bN)A_{\xi}\subset B(x,(M+1+r)b^{-N}). Comparing volumes therefore yields

#N,x(rbN)n((M+1+r)bN)n.\#\mathcal{I}_{N,x}\bigl(rb^{-N}\bigr)^{n}\leq\bigl((M+1+r)b^{-N}\bigr)^{n}.

Thus the counting estimate holds with CK=((M+1+r)/r)nC_{K}=((M+1+r)/r)^{n}. Since NN and xx were arbitrary, the bound is uniform. ∎

Definition 2.5 (Digit-freezing measures).

Fix 𝐚𝒟\mathbf{a}_{*}\in\mathcal{D}. For PP\subset\mathbb{N}, define

(2.2) UP(N):=#({1,,N}P),N1,U_{P}(N):=\#\bigl(\{1,\ldots,N\}\setminus P\bigr),\qquad N\geq 1,

and

(2.3) E(P):={π(ξ):ξr=𝐚 for every rP}.E(P):=\{\pi(\xi):\xi_{r}=\mathbf{a}_{*}\text{ for every }r\in P\}.

The positions in PP are prescribed, while those in P\mathbb{N}\setminus P are free; thus UP(N)U_{P}(N) counts the free positions up to NN.

To each PP\subset\mathbb{N}, associate the following measures. Let

m𝒟:=1#𝒟𝐚𝒟δ𝐚,m_{\mathcal{D}}:=\frac{1}{\#\mathcal{D}}\sum_{\mathbf{a}\in\mathcal{D}}\delta_{\mathbf{a}},

where δ𝐚\delta_{\mathbf{a}} is the Dirac mass at 𝐚\mathbf{a}, and for r1r\geq 1 set

νP,r:={δ𝐚,rP,m𝒟,rP.\nu_{P,r}:=\begin{cases}\delta_{\mathbf{a}_{*}},&r\in P,\\ m_{\mathcal{D}},&r\notin P.\end{cases}

Define

νP:=r=1νP,ron 𝒟,μP:=πνPon K.\nu_{P}:=\bigotimes_{r=1}^{\infty}\nu_{P,r}\quad\text{on }\mathcal{D}^{\mathbb{N}},\qquad\mu_{P}:=\pi_{*}\nu_{P}\quad\text{on }K.

We call μP\mu_{P} the digit-freezing measure associated with PP. It is supported on E(P)E(P), and in particular μP(E(P))=1\mu_{P}(E(P))=1.

Lemma 2.6.

Suppose that the common-base system satisfies OSC. Then

dimHE(P)(lim infNUP(N)N)dimHK.\dim_{H}E(P)\geq\left(\liminf_{N\to\infty}\frac{U_{P}(N)}{N}\right)\dim_{H}K.
Proof.

Put

h:=lim infNUP(N)N.h:=\liminf_{N\to\infty}\frac{U_{P}(N)}{N}.

For the measures in Definition 2.5, every ξ𝒟N\xi\in\mathcal{D}^{N} compatible with the prescribed positions satisfies νP{η:η|N=ξ}=(#𝒟)UP(N)\nu_{P}\{\eta:\eta|_{N}=\xi\}=(\#\mathcal{D})^{-U_{P}(N)}.

If h=0h=0, the claim is immediate. Assume h>0h>0, and fix 0<τ<h0<\tau<h. For all sufficiently large NN, we have UP(N)τNU_{P}(N)\geq\tau N. If b(N+1)<RbNb^{-(N+1)}<R\leq b^{-N}, then B(x,R)B(x,bN)B(x,R)\subset B(x,b^{-N}). By Lemma 2.4, at most CKC_{K} level-NN cylinders meet B(x,R)B(x,R). Moreover,

π1(B(x,R))suppνPξ𝒟NKξB(x,R){ηsuppνP:η|N=ξ}.\pi^{-1}(B(x,R))\cap\operatorname{supp}\nu_{P}\subset\bigcup_{\begin{subarray}{c}\xi\in\mathcal{D}^{N}\\ K_{\xi}\cap B(x,R)\neq\varnothing\end{subarray}}\{\eta\in\operatorname{supp}\nu_{P}:\eta|_{N}=\xi\}.

The union on the right has at most CKC_{K} nonempty sets, each of νP\nu_{P}-mass (#𝒟)UP(N)(\#\mathcal{D})^{-U_{P}(N)}. Since #𝒟=bdimHK\#\mathcal{D}=b^{\dim_{H}K} by Remark 2.3, we have

μP(B(x,R))CK(#𝒟)UP(N)CKbτdimHKRτdimHK.\mu_{P}(B(x,R))\leq C_{K}(\#\mathcal{D})^{-U_{P}(N)}\leq C_{K}\,b^{\tau\dim_{H}K}R^{\tau\dim_{H}K}.

Here the last inequality uses UP(N)τNU_{P}(N)\geq\tau N and R>b(N+1)R>b^{-(N+1)}. The mass distribution principle [Fal03, Principle 4.2] gives dimHE(P)τdimHK\dim_{H}E(P)\geq\tau\dim_{H}K. Letting τh\tau\uparrow h proves the claim. ∎

Remark 2.7.

Under the hypothesis of Lemma 2.6, although only the lower bound is needed below, one can in fact show that equality holds.

To pass to totally irrational points, we use the following property.

Lemma 2.8.

Let PP\subset\mathbb{N} have infinitely many free positions, and let νP,μP\nu_{P},\mu_{P} be as in Definition 2.5. If aff(𝒟)=n\operatorname{aff}_{\mathbb{R}}(\mathcal{D})=\mathbb{R}^{n}, then every affine hyperplane has μP\mu_{P}-measure zero; in particular, μP\mu_{P}-almost every point is totally irrational.

Proof.

Fix an affine hyperplane

H={xn:ux=t},un{0},t.H=\{x\in\mathbb{R}^{n}:u\cdot x=t\},\qquad u\in\mathbb{R}^{n}\setminus\{0\},\quad t\in\mathbb{R}.

Since aff(𝒟)=n\operatorname{aff}_{\mathbb{R}}(\mathcal{D})=\mathbb{R}^{n}, the set u𝒟u\cdot\mathcal{D} has at least two elements. Put

δ:=minc,cu𝒟cc|cc|>0.\delta:=\min_{\begin{subarray}{c}c,c^{\prime}\in u\cdot\mathcal{D}\\ c\neq c^{\prime}\end{subarray}}|c-c^{\prime}|>0.

Choose L1L\geq 1 so that

diam(u𝒟)bL1<δ,\frac{\operatorname{diam}(u\cdot\mathcal{D})}{b^{L}-1}<\delta,

and choose free positions

r1<r2<,rj+1rjL.r_{1}<r_{2}<\cdots,\qquad r_{j+1}-r_{j}\geq L.

Put

S:={rj:j1},νS:=rSm𝒟,νSc:=rSνP,r.S:=\{r_{j}:j\geq 1\},\qquad\nu_{S}:=\bigotimes_{r\in S}m_{\mathcal{D}},\qquad\nu_{S^{c}}:=\bigotimes_{r\notin S}\nu_{P,r}.

Since every position in SS is free, the coordinate identification 𝒟𝒟S×𝒟Sc\mathcal{D}^{\mathbb{N}}\simeq\mathcal{D}^{S}\times\mathcal{D}^{S^{c}} identifies νP\nu_{P} with νSνSc\nu_{S}\otimes\nu_{S^{c}}. For η𝒟Sc\eta\in\mathcal{D}^{S^{c}}, define

Bη:={ζ𝒟S:π(ζ,η)H}.B_{\eta}:=\{\zeta\in\mathcal{D}^{S}:\pi(\zeta,\eta)\in H\}.

Fubini’s theorem gives

(2.4) μP(H)=νP(π1(H))=𝒟ScνS(Bη)dνSc(η).\mu_{P}(H)=\nu_{P}\bigl(\pi^{-1}(H)\bigr)=\int_{\mathcal{D}^{S^{c}}}\nu_{S}(B_{\eta})\,d\nu_{S^{c}}(\eta).

Thus it remains to prove the following.

Claim. For every η𝒟Sc\eta\in\mathcal{D}^{S^{c}},

νS(Bη)=0.\nu_{S}(B_{\eta})=0.
Proof of the claim.

By the choice of LL and the gaps rj+1rjr_{j+1}-r_{j}, for every j1j\geq 1,

(2.5) diam(u𝒟)>jbr\displaystyle\operatorname{diam}(u\cdot\mathcal{D})\sum_{\ell>j}b^{-r_{\ell}} diam(u𝒟)brjq1bqL\displaystyle\leq\operatorname{diam}(u\cdot\mathcal{D})b^{-r_{j}}\sum_{q\geq 1}b^{-qL}
=diam(u𝒟)bL1brj<δbrj.\displaystyle=\frac{\operatorname{diam}(u\cdot\mathcal{D})}{b^{L}-1}b^{-r_{j}}<\delta b^{-r_{j}}.

Fix η𝒟Sc\eta\in\mathcal{D}^{S^{c}}. The equation defining BηB_{\eta} is

(2.6) j1(uζrj)brj=trS(uηr)br.\sum_{j\geq 1}(u\cdot\zeta_{r_{j}})b^{-r_{j}}=t-\sum_{r\notin S}(u\cdot\eta_{r})b^{-r}.

For distinct sequences (cj)j1,(cj)j1(u𝒟)(c_{j})_{j\geq 1},(c_{j}^{\prime})_{j\geq 1}\in(u\cdot\mathcal{D})^{\mathbb{N}}, put k:=min{j:cjcj}k:=\min\{j:c_{j}\neq c_{j}^{\prime}\}. By (2.5),

|j1(cjcj)brj|\displaystyle\left|\sum_{j\geq 1}(c_{j}-c_{j}^{\prime})b^{-r_{j}}\right| δbrkdiam(u𝒟)>kbr\displaystyle\geq\delta b^{-r_{k}}-\operatorname{diam}(u\cdot\mathcal{D})\sum_{\ell>k}b^{-r_{\ell}}
>0.\displaystyle>0.

Thus distinct projected sequences give distinct values of the left-hand side of (2.6). Since its right-hand side is fixed by η\eta, (2.6) admits at most one projected sequence. Put

m:=maxcu𝒟#{𝐚𝒟:u𝐚=c}<#𝒟.m:=\max_{c\in u\cdot\mathcal{D}}\#\{\mathbf{a}\in\mathcal{D}:u\cdot\mathbf{a}=c\}<\#\mathcal{D}.

The strict inequality holds because u𝒟u\cdot\mathcal{D} has at least two elements. If Bη=B_{\eta}=\varnothing, the claim is immediate. Otherwise, let (cj)j1(c_{j})_{j\geq 1} be its projected sequence. For every N1N\geq 1,

0νS(Bη)\displaystyle 0\leq\nu_{S}(B_{\eta}) j=1N#{𝐚𝒟:u𝐚=cj}#𝒟\displaystyle\leq\prod_{j=1}^{N}\frac{\#\{\mathbf{a}\in\mathcal{D}:u\cdot\mathbf{a}=c_{j}\}}{\#\mathcal{D}}
(m#𝒟)NN0.\displaystyle\leq\left(\frac{m}{\#\mathcal{D}}\right)^{N}\xrightarrow[N\to\infty]{}0.

The claim and (2.4) give μP(H)=0\mu_{P}(H)=0. Finally, the set of points that are not totally irrational is the countable union

𝐩n{0}p0{xn:𝐩x=p0}\bigcup_{\mathbf{p}\in\mathbb{Z}^{n}\setminus\{0\}}\ \bigcup_{p_{0}\in\mathbb{Z}}\{x\in\mathbb{R}^{n}:\mathbf{p}\cdot x=-p_{0}\}

of affine hyperplanes, so it has μP\mu_{P}-measure zero. ∎

3. Approximation from constant-symbol blocks

Fix the weight 𝐰=(w1,,wn)\mathbf{w}=(w_{1},\ldots,w_{n}) from the introduction. The next lemma converts a constant-symbol block into the weighted approximation in (1.2).

Lemma 3.1.

There is a constant C01C_{0}\geq 1, depending only on 𝒟\mathcal{D} and 𝐰\mathbf{w}, with the following property. Suppose x=π(ξ)Kx=\pi(\xi)\in K and there are integers j,L1j,L\geq 1 such that

ξj+1==ξj+L=𝐚;\xi_{j+1}=\cdots=\xi_{j+L}=\mathbf{a}_{*};

see Figure 1. Set q:=(b1)bjq:=(b-1)b^{j}. Then there is 𝐩n\mathbf{p}\in\mathbb{Z}^{n} such that

max1in|qxipi|1/wiC0bL/w1.\max_{1\leq i\leq n}|qx_{i}-p_{i}|^{1/w_{i}}\leq C_{0}b^{-L/w_{1}}.

Moreover, if ε>0\varepsilon>0 and

q<T<εC0bL/w1,q<T<\frac{\varepsilon}{C_{0}}b^{L/w_{1}},

then the same qq and 𝐩\mathbf{p} satisfy the inequalities in (1.2).

arbitrary prefixconstant-symbol blockarbitrary tailξ1\xi_{1}11ξ2\xi_{2}22\cdotsξj\xi_{j}jj𝐚\mathbf{a}_{*}j+1j+1𝐚\mathbf{a}_{*}j+2j+2\cdots𝐚\mathbf{a}_{*}j+Lj+Lξj+L+1\xi_{j+L+1}j+L+1j+L+1ξj+L+2\xi_{j+L+2}j+L+2j+L+2\cdots
Figure 1. A constant-symbol block as in Lemma 3.1. The orange-shaded digits are fixed, while the prefix and tail are arbitrary.
Proof.

Set

Δ𝒟:=max𝐚,𝐚𝒟𝐚𝐚,C0:=Δ𝒟1/wn.\Delta_{\mathcal{D}}:=\max_{\mathbf{a},\mathbf{a}^{\prime}\in\mathcal{D}}\|\mathbf{a}-\mathbf{a}^{\prime}\|,\qquad C_{0}:=\Delta_{\mathcal{D}}^{1/w_{n}}.

Since 𝒟n\mathcal{D}\subset\mathbb{Z}^{n} has at least two elements, Δ𝒟1\Delta_{\mathcal{D}}\geq 1, so C01C_{0}\geq 1.

Extend the prefix (ξ1,,ξj)(\xi_{1},\ldots,\xi_{j}) by repeating 𝐚\mathbf{a}_{*} forever. The resulting point lies in KK and is the rational vector

𝐩q:=r=1jξrbr+r=j+1𝐚br,\frac{\mathbf{p}}{q}:=\sum_{r=1}^{j}\xi_{r}b^{-r}+\sum_{r=j+1}^{\infty}\mathbf{a}_{*}b^{-r},

where q=(b1)bjq=(b-1)b^{j} and

𝐩=(b1)r=1jξrbjr+𝐚n.\mathbf{p}=(b-1)\sum_{r=1}^{j}\xi_{r}b^{j-r}+\mathbf{a}_{*}\in\mathbb{Z}^{n}.

Let y:=π(ξj+L+1,ξj+L+2,)Ky:=\pi(\xi_{j+L+1},\xi_{j+L+2},\ldots)\in K be the tail after the constant-symbol block. Since xx and 𝐩/q\mathbf{p}/q have the same first j+Lj+L digits,

x𝐩q=r=j+L+1(ξr𝐚)br=b(j+L)(y𝐚b1).x-\frac{\mathbf{p}}{q}=\sum_{r=j+L+1}^{\infty}(\xi_{r}-\mathbf{a}_{*})b^{-r}=b^{-(j+L)}\left(y-\frac{\mathbf{a}_{*}}{b-1}\right).

Multiplying by q=(b1)bjq=(b-1)b^{j} gives

qx𝐩=(b1)bL(y𝐚b1).qx-\mathbf{p}=(b-1)b^{-L}\left(y-\frac{\mathbf{a}_{*}}{b-1}\right).

Moreover,

y𝐚b1r=1ξj+L+r𝐚brΔ𝒟r=1br=Δ𝒟b1.\left\|y-\frac{\mathbf{a}_{*}}{b-1}\right\|\leq\sum_{r=1}^{\infty}\|\xi_{j+L+r}-\mathbf{a}_{*}\|b^{-r}\leq\Delta_{\mathcal{D}}\sum_{r=1}^{\infty}b^{-r}=\frac{\Delta_{\mathcal{D}}}{b-1}.

It follows that

|qxipi|Δ𝒟bL(1in).|qx_{i}-p_{i}|\leq\Delta_{\mathcal{D}}b^{-L}\qquad(1\leq i\leq n).

For each ii, the inequalities wnwiw1w_{n}\leq w_{i}\leq w_{1} and b>1b>1 give

|qxipi|1/wiΔ𝒟1/wibL/wiΔ𝒟1/wnbL/w1=C0bL/w1.|qx_{i}-p_{i}|^{1/w_{i}}\leq\Delta_{\mathcal{D}}^{1/w_{i}}b^{-L/w_{i}}\leq\Delta_{\mathcal{D}}^{1/w_{n}}b^{-L/w_{1}}=C_{0}b^{-L/w_{1}}.

Taking the maximum over ii proves the first assertion. Finally, if q<T<(ε/C0)bL/w1q<T<(\varepsilon/C_{0})b^{L/w_{1}}, then 0<q<T0<q<T and

C0bL/w1<εT,C_{0}b^{-L/w_{1}}<\frac{\varepsilon}{T},

which proves the second assertion. ∎

4. Block construction

Fix C0C_{0} as in Lemma 3.1. The following proposition provides the block locations and lengths used in the construction. Its proof is given in Section 5.

Proposition 4.1.

For any fixed α>w1/(1w1)\alpha>w_{1}/(1-w_{1}), there exist sequences of positive integers jk=jk(α)j_{k}=j_{k}(\alpha) and Lk=Lk(α)L_{k}=L_{k}(\alpha) such that the sets and denominators

Bk:={jk+1,,jk+Lk},qk:=(b1)bjk,Pα:=k1BkB_{k}:=\{j_{k}+1,\ldots,j_{k}+L_{k}\},\qquad q_{k}:=(b-1)b^{j_{k}},\qquad P_{\alpha}:=\bigcup_{k\geq 1}B_{k}

satisfy

jk+Lk<jk+1(k1).j_{k}+L_{k}<j_{k+1}\qquad(k\geq 1).

Moreover, for every ε>0\varepsilon>0, there exists k0k_{0} such that

(4.1) (qk0,)kk0(qk,εC0bLk/w1).(q_{k_{0}},\infty)\subset\bigcup_{k\geq k_{0}}\left(q_{k},\frac{\varepsilon}{C_{0}}b^{L_{k}/w_{1}}\right).

Finally, with the notation of (2.2), set

Uα(N):=UPα(N).U_{\alpha}(N):=U_{P_{\alpha}}(N).

Then

(4.2) lim infNUα(N)N=h𝐰(α):=α(1w1)w1(αw1)(1+α).\liminf_{N\to\infty}\frac{U_{\alpha}(N)}{N}=h_{\mathbf{w}}(\alpha):=\frac{\alpha(1-w_{1})-w_{1}}{(\alpha-w_{1})(1+\alpha)}.

With the notation of Definition 2.5, define

Eα:=E(Pα)={π(ξ):ξ𝒟,ξjk+r=𝐚(k1, 1rLk)}.E_{\alpha}:=E(P_{\alpha})=\left\{\pi(\xi):\begin{array}[]{l}\xi\in\mathcal{D}^{\mathbb{N}},\\ \xi_{j_{k}+r}=\mathbf{a}_{*}\quad(k\geq 1,\ 1\leq r\leq L_{k})\end{array}\right\}.

Thus EαE_{\alpha} is obtained by fixing the digits on the blocks BkB_{k}, while all remaining digits are free.

Corollary 4.2.

One has

EαSing(𝐰)K.E_{\alpha}\subset\operatorname{Sing}(\mathbf{w})\cap K.
Proof.

Fix ε>0\varepsilon>0, and choose k0k_{0} as in (4.1). If T>qk0T>q_{k_{0}}, then there is kk0k\geq k_{0} such that

qk<T<εC0bLk/w1.q_{k}<T<\frac{\varepsilon}{C_{0}}b^{L_{k}/w_{1}}.

For every xEαx\in E_{\alpha}, the kk-th prescribed block and Lemma 3.1 give 𝐩kn\mathbf{p}_{k}\in\mathbb{Z}^{n} such that

0<qk<T,max1in|qkxipi,k|1/wi<εT.0<q_{k}<T,\qquad\max_{1\leq i\leq n}|q_{k}x_{i}-p_{i,k}|^{1/w_{i}}<\frac{\varepsilon}{T}.

Hence xSing(𝐰)x\in\operatorname{Sing}(\mathbf{w}). ∎

Corollary 4.3.

Suppose that the common-base system satisfies OSC. Then

dimHEαh𝐰(α)dimHK.\dim_{H}E_{\alpha}\geq h_{\mathbf{w}}(\alpha)\dim_{H}K.
Proof.

This follows from (4.2) and Lemma 2.6, since Uα=UPαU_{\alpha}=U_{P_{\alpha}}. ∎

Proof of Theorem 1.2.

By Corollaries 4.2 and 4.3, the set EαE_{\alpha} is contained in Sing(𝐰)K\operatorname{Sing}(\mathbf{w})\cap K and has dimension at least h𝐰(α)dimHKh_{\mathbf{w}}(\alpha)\dim_{H}K for every α>w1/(1w1)\alpha>w_{1}/(1-w_{1}). Differentiation gives

h𝐰(α)=α((1w1)α2w1)(αw1)2(1+α)2.h_{\mathbf{w}}^{\prime}(\alpha)=-\frac{\alpha\bigl((1-w_{1})\alpha-2w_{1}\bigr)}{(\alpha-w_{1})^{2}(1+\alpha)^{2}}.

The unique critical point in the admissible interval is α:=2w1/(1w1)\alpha_{*}:=2w_{1}/(1-w_{1}). Since the function tends to zero at both ends of the interval, this point gives its maximum, and h𝐰(α)=((1w1)/(1+w1))2h_{\mathbf{w}}(\alpha_{*})=((1-w_{1})/(1+w_{1}))^{2}. Put E=EαE=E_{\alpha_{*}} and μ:=μPα\mu:=\mu_{P_{\alpha_{*}}}, as in Definition 2.5. Since h𝐰(α)>0h_{\mathbf{w}}(\alpha_{*})>0, there are infinitely many free positions, and Lemma 2.8 shows that μ\mu-almost every point is totally irrational. Since ESing(𝐰)E\subset\operatorname{Sing}(\mathbf{w}), the set ESing(𝐰)E\cap\operatorname{Sing}^{*}(\mathbf{w}) has full μ\mu-measure. For every s<h𝐰(α)dimHKs<h_{\mathbf{w}}(\alpha_{*})\dim_{H}K, the ball estimate in the proof of Lemma 2.6 remains valid after restricting μ\mu to this set. Consequently,

dimH(ESing(𝐰))h𝐰(α)dimHK.\dim_{H}\bigl(E\cap\operatorname{Sing}^{*}(\mathbf{w})\bigr)\geq h_{\mathbf{w}}(\alpha_{*})\dim_{H}K.

Since EKE\subset K, this proves the theorem. ∎

Proof of Theorem 1.1.

The Cantor square C2C^{2} is the attractor of the base-33 system with digit set {0,2}2\{0,2\}^{2}, which affinely spans 2\mathbb{R}^{2}. It satisfies OSC with O=(0,1)2O=(0,1)^{2}, and dimH(C2)=2log2/log3\dim_{H}(C^{2})=2\log 2/\log 3. The weighted assertion is therefore the special case b=3b=3, 𝒟={0,2}2\mathcal{D}=\{0,2\}^{2} of Theorem 1.2. The unweighted statement follows from w1=w2=1/2w_{1}=w_{2}=1/2. ∎

5. Block parameter estimates

Proof of Proposition 4.1.

Fix α>w1/(1w1)\alpha>w_{1}/(1-w_{1}).

Step 1: Choice, growth, and separation. Put

ρ:=αw1,ρ0:=1+ρ2.\rho:=\frac{\alpha}{w_{1}},\qquad\rho_{0}:=\frac{1+\rho}{2}.

Since both ρρ0\rho-\rho_{0} and α(1w1)/w11\alpha(1-w_{1})/w_{1}-1 are positive, choose j1j_{1} so large that, for every jj1j\geq j_{1},

min{ρρ0,α(1w1)w11}jj+3.\min\left\{\rho-\rho_{0},\frac{\alpha(1-w_{1})}{w_{1}}-1\right\}j\geq\sqrt{j}+3.

Define recursively

(5.1) Lk:=αjk,jk+1:=Lkw1jk.L_{k}:=\lceil\alpha j_{k}\rceil,\qquad j_{k+1}:=\left\lfloor\frac{L_{k}}{w_{1}}\right\rfloor-\lceil\sqrt{j_{k}}\rceil.

The ceiling and floor bounds in (5.1) give

(5.2) αjk\displaystyle\alpha j_{k} Lk<αjk+1,\displaystyle\leq L_{k}<\alpha j_{k}+1,
jk\displaystyle\sqrt{j_{k}} Lkw1jk+1<jk+2,\displaystyle\leq\frac{L_{k}}{w_{1}}-j_{k+1}<\sqrt{j_{k}}+2,
ρjkjk2\displaystyle\rho j_{k}-\sqrt{j_{k}}-2 <jk+1<ρjk+1w1.\displaystyle<j_{k+1}<\rho j_{k}+\frac{1}{w_{1}}.

Suppose that jkj1j_{k}\geq j_{1}. Then the first condition in the choice of j1j_{1}, together with (5.2), gives

(5.3) jk+1\displaystyle j_{k+1} >ρjkjk2\displaystyle>\rho j_{k}-\sqrt{j_{k}}-2
=ρ0jk+((ρρ0)jkjk2)ρ0jk+1.\displaystyle=\rho_{0}j_{k}+\bigl((\rho-\rho_{0})j_{k}-\sqrt{j_{k}}-2\bigr)\geq\rho_{0}j_{k}+1.

Since ρ0>1\rho_{0}>1, induction shows that (5.3) holds for every kk and that jkρ0k1j1j_{k}\geq\rho_{0}^{k-1}j_{1}. In particular, jkj_{k}\to\infty. Moreover,

jk+1jkLk\displaystyle j_{k+1}-j_{k}-L_{k} >Lk(1w11)jkjk2\displaystyle>L_{k}\left(\frac{1}{w_{1}}-1\right)-j_{k}-\sqrt{j_{k}}-2
(α(1w1)w11)jkjk2\displaystyle\geq\left(\frac{\alpha(1-w_{1})}{w_{1}}-1\right)j_{k}-\sqrt{j_{k}}-2
1.\displaystyle\geq 1.

Hence jk+Lk<jk+1j_{k}+L_{k}<j_{k+1}.

Step 2: Covering all large TT. Set

εk:=2(b1)C0b(Lk/w1jk+1).\varepsilon_{k}:=2(b-1)C_{0}b^{-(L_{k}/w_{1}-j_{k+1})}.

By the middle estimate in (5.2),

0<εk2(b1)C0bjk0.0<\varepsilon_{k}\leq 2(b-1)C_{0}b^{-\sqrt{j_{k}}}\longrightarrow 0.

Furthermore, a direct cancellation gives

εkC0bLk/w1\displaystyle\frac{\varepsilon_{k}}{C_{0}}b^{L_{k}/w_{1}} =2(b1)b(Lk/w1jk+1)bLk/w1\displaystyle=2(b-1)b^{-(L_{k}/w_{1}-j_{k+1})}b^{L_{k}/w_{1}}
=2(b1)bjk+1=2qk+1>qk+1.\displaystyle=2(b-1)b^{j_{k+1}}=2q_{k+1}>q_{k+1}.

Given ε>0\varepsilon>0, choose k0k_{0} so that εk<ε\varepsilon_{k}<\varepsilon for kk0k\geq k_{0}. If T>qk0T>q_{k_{0}}, choose kk0k\geq k_{0} such that qk<Tqk+1q_{k}<T\leq q_{k+1}, which is possible since qkq_{k}\to\infty. Then

qk<Tqk+1<εkC0bLk/w1<εC0bLk/w1.q_{k}<T\leq q_{k+1}<\frac{\varepsilon_{k}}{C_{0}}b^{L_{k}/w_{1}}<\frac{\varepsilon}{C_{0}}b^{L_{k}/w_{1}}.

Thus TT belongs to the kk-th interval in (4.1).

Step 3: Density of free positions. Let Nk:=jk+LkN_{k}:=j_{k}+L_{k}. Since the prescribed blocks are disjoint, UαU_{\alpha} is constant on [jk,Nk][j_{k},N_{k}] and increases with slope one on [Nk,jk+1][N_{k},j_{k+1}]. Consequently, Uα(N)/NU_{\alpha}(N)/N decreases on the first interval and increases on the second. Its successive local minima therefore occur at NkN_{k}, as illustrated in Figure 2, and

(5.4) lim infNUα(N)N=lim infkjkh<kLhjk+Lk.\liminf_{N\to\infty}\frac{U_{\alpha}(N)}{N}=\liminf_{k\to\infty}\frac{j_{k}-\sum_{h<k}L_{h}}{j_{k}+L_{k}}.
NNUα(N)U_{\alpha}(N)jkj_{k}NkN_{k}jk+1j_{k+1}Nk+1N_{k+1} prescribed blockBkB_{k}freepositionsprescribed blockBk+1B_{k+1}constantslope 11constant
Figure 2. The count is constant on prescribed blocks and has slope one elsewhere, so Uα(N)/NU_{\alpha}(N)/N is minimized at NkN_{k}.

By (5.2) and the fact that jkj_{k}\to\infty,

Lkjkα,jk+1jkρ.\frac{L_{k}}{j_{k}}\longrightarrow\alpha,\qquad\frac{j_{k+1}}{j_{k}}\longrightarrow\rho.

Hence

Lkjk+1jk=Lk/jkjk+1/jk1αρ1.\frac{L_{k}}{j_{k+1}-j_{k}}=\frac{L_{k}/j_{k}}{j_{k+1}/j_{k}-1}\longrightarrow\frac{\alpha}{\rho-1}.

Since jkj_{k} is strictly increasing and tends to infinity, the Stolz–Cesàro theorem gives

limkh<kLhjk=limkLkjk+1jk=αρ1.\lim_{k\to\infty}\frac{\sum_{h<k}L_{h}}{j_{k}}=\lim_{k\to\infty}\frac{L_{k}}{j_{k+1}-j_{k}}=\frac{\alpha}{\rho-1}.

Consequently,

Uα(Nk)Nk=jkh<kLhjk+Lk1α/(ρ1)1+α=α(1w1)w1(αw1)(1+α).\frac{U_{\alpha}(N_{k})}{N_{k}}=\frac{j_{k}-\sum_{h<k}L_{h}}{j_{k}+L_{k}}\longrightarrow\frac{1-\alpha/(\rho-1)}{1+\alpha}=\frac{\alpha(1-w_{1})-w_{1}}{(\alpha-w_{1})(1+\alpha)}.

Together with (5.4), this proves (4.2). ∎

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