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Two Cantor sets with different logarithmic capacities
Statement
Assume the Axiom of Choice. Let be the middle-thirds Cantor set with Cantor measure (The Cantor middle-thirds set as the intersection of the sets obtained by removing open middle thirds, The Cantor measure). Then
Let for and let be the nested binary Cantor set constructed as follows: is one closed cell, and each level- cell is replaced by the two disjoint closed cells and , with the union of the resulting cells and . Then every Borel probability on has , so and .
Both and are uncountable compact Lebesgue-null subsets of . Thus Lebesgue measure and cardinality alone do not determine logarithmic capacity.
Facts & Assumptions
Given: the Cantor set and its Cantor measure , the number , the Axiom of Choice, and the capacity and energy conventions of Robin constant and logarithmic capacity of a compact set and Logarithmic potential and energy of a positive compactly supported measure.
For a finite positive Borel measure of compact support and one has with , and with when and otherwise (Logarithmic potential and energy of a positive compactly supported measure, Robin constant and logarithmic capacity of a compact set).
The Cantor set is compact, uncountable and ; every is for a unique sequence with values in , the first digits determine the level- basic interval , and is a bijection from onto (The Cantor middle-thirds set as the intersection of the sets obtained by removing open middle thirds, The Cantor set is exactly the set of with every , and this gives a bijection with , The Cantor set is compact, perfect, uncountable, nowhere dense and of measure zero, and it contains no interval of positive length, so its only nonempty connected subsets are single points).
Assume Countable Choice. The Cantor measure is a Borel probability measure with , it is atomless, and for every level- basic interval (The Cantor measure, The Cantor measure is a singular atomless probability measure concentrated on the Cantor set, Cantor basic intervals have their expected masses).
Layer cake for : for a measure space and a measurable one has , both sides allowed to be (For 0 < p < infinity, the layer-cake formula computes the integral of |f|^p from the distribution function).
The product measure is a measure on with , and Tonelli's theorem computes integrals of nonnegative product-measurable integrands as iterated integrals (The product measure of two sigma-finite measure spaces, Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).
Finite Cauchy–Schwarz: for reals (The Cauchy-Schwarz inequality for finite sums).
A nested sequence of closed bounded intervals whose lengths tend to has an intersection that is exactly one point (A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to ), and the recursive construction of the families is licensed by the recursion theorem (The recursion theorem).
Under Countable Choice, the Axiom of Choice yields Countable Choice (The Axiom of Countable Choice (), AC implies DC implies countable choice); a subset of a countable set is countable (Finite, countably infinite, countable, uncountable); and a set is Lebesgue-null when it is contained in the union of countably many intervals of arbitrarily small total length (Measure zero (a countable cover by intervals of total length below every ) and content zero (a finite such cover)).
Verification
By [F3] and [F8] the Cantor measure is a Borel probability with and no atoms, so ; by [F2] the set is compact and uncountable with .
For every and every word the level- basic interval has , and by [F2] the intervals , , are the digit cylinders and are pairwise disjoint.
If and have different first digits, let be the first index with ; then , so is contained in the set where the first digits agree, that is, in with the of step 1.2. Hence .
The construction of the cells is licensed by [F7]. For , ; for , and , so . Thus the two children of each level- cell are disjoint closed intervals of length contained in it, and is a nested sequence of nonempty compact sets with cells of length at level . Therefore is compact and nonempty, and because the level- cells cover and their total length .
Since has total mass and support in , [F1] gives ; applying [F4] on the product measure of [F5] and splitting the integral at , , where step 2.1 bounds each dyadic piece. Therefore and .
For a Borel probability on put for the level- cells of step 2.2; since is carried by and the cells are pairwise disjoint, , so by [F6] with the constant list one has , that is, .
With , the cells and the masses of step 3.2, [F1] gives because is a probability on ; two points of one level- cell satisfy , so for the event of lying in the same level- cell is contained in and hence ; by [F4] and [F5], .
Every has by step 4.1, so the infimum is and by [F1].
For each the cells form a nested family of closed intervals with lengths , so by [F7] their intersection contains exactly one point ; distinct infinite words differ at some level , where their cells are disjoint, so is injective. If were countable then its subset would be countable by [F8], and since is in bijection with by [F2] and is uncountable, that is impossible; hence is uncountable. Thus has positive capacity and has zero capacity although both are uncountable compact Lebesgue-null sets.
Remarks
Where the thin geometric decay is used. In step 4.1 the level- cells have length , so the time window in the layer-cake formula sees the whole level- cell mass; the divergent series is what forces . The zero-capacity conclusion here uses the divergent weighted logarithmic windows, not merely summability of or decay faster than every exponential. For example, lengths also decay faster than every exponential, but the equal-branch probability (the pushforward of under the binary coding map) has finite energy: pairs first separated at level have distance at least , with , and have probability , while the diagonal has probability zero because the probability of agreeing through level is . Thus their energy contribution is bounded by for a fixed constant , a summable series. The middle-thirds scaling likewise gives finite energy by step 3.1.
Choice. The statement assumes the Axiom of Choice, but the proof uses only Countable Choice, through the Cantor measure and cylinder-mass suppliers [F3] and the general conversion [F8]; with those suppliers granted, the construction of , the layer-cake computations and the cardinality argument are choice-free.
Depends on
- The Axiom of Choice
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Finite, countably infinite, countable, uncountable
- AC implies DC implies countable choice
- Robin constant and logarithmic capacity of a compact set
- Logarithmic potential and energy of a positive compactly supported measure
- The Cantor middle-thirds set as the intersection of the sets $C_n$ obtained by removing open middle thirds
- The Cantor measure
- The Cantor set is compact, perfect, uncountable, nowhere dense and of measure zero, and it contains no interval of positive length, so its only nonempty connected subsets are single points
- The Cantor set is exactly the set of $\sum_{k \ge 1} a_k 3^{-k}$ with every $a_k \in \{0,2\}$, and this gives a bijection with $\{0,1\}^{\mathbb{N}}$
- Cantor basic intervals have their expected masses
- The Cantor measure is a singular atomless probability measure concentrated on the Cantor set
- For 0 < p < infinity, the layer-cake formula computes the integral of |f|^p from the distribution function
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- The product measure of two sigma-finite measure spaces
- The Cauchy-Schwarz inequality for finite sums
- A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to $0$
- The recursion theorem
- Measure zero (a countable cover by intervals of total length below every $\varepsilon$) and content zero (a finite such cover)
Used by
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Sources
- E. B. Saff, Logarithmic Potential Theory with Applications to Approximation Theory, §1 (standard reference, not scraped)
- B. Khoruzhenko, LTCC Potential Theory notes, §3 (standard reference, not scraped)