Math 2.0

Potential theory Potentials, energy and capacity Theorem

Capacity and Hausdorff dimension

Builds on Compact setProbability measureHausdorff measureHausdorff dimensionRiesz kernel energyFrostman lemma

Statement

Let K⊆ℝnK \subseteq \R^n be a compact set and let 0<s<n0 < s < n. For a Borel probability measure μ\mu on KK, let Is(μ)=∫K∫K∣x−y∣−s dμ(x) dμ(y)I_s(\mu) = \int_K \int_K \abs{x - y}^{-s} \, d\mu(x) \, d\mu(y) be its Riesz energy of order ss. The Riesz ss-capacity of KK is Cs(K)=sup⁡μ1/Is(μ)C_s(K) = \sup_\mu 1 / I_s(\mu), with 1/∞=01/\infty = 0. Let ℋs\mathcal{H}^s be the ss-dimensional Hausdorff measure and dim⁡H\dim_H the Hausdorff dimension.

  1. If ℋs(K)<∞\mathcal{H}^s(K) < \infty, then Cs(K)=0C_s(K) = 0.
  2. If dim⁡HK>s\dim_H K > s, then Cs(K)>0C_s(K) > 0.

Hence dim⁡HK=sup⁡{s∈(0,n):Cs(K)>0}=inf⁡{s∈(0,n):Cs(K)=0}\dim_H K = \sup \set{ s \in (0, n) : C_s(K) > 0 } = \inf \set{ s \in (0, n) : C_s(K) = 0 } whenever 0<dim⁡HK<n0 < \dim_H K < n.

Remarks

Proof idea for part 2: choose tt with s<t<dim⁡HKs < t < \dim_H K. Then ℋt(K)>0\mathcal{H}^t(K) > 0, and the Frostman lemma gives a nonzero measure μ\mu on KK with μ(B(x,r))≤rt\mu(B(x, r)) \le r^t for all balls. Write ∫∣x−y∣−s dμ(y)=∫0∞μ(B(x,ρ−1/s)) dρ\int \abs{x - y}^{-s} \, d\mu(y) = \int_0^\infty \mu(B(x, \rho^{-1/s})) \, d\rho. The bound on balls shows that this integral is bounded in xx, so Is(μ)<∞I_s(\mu) < \infty after normalizing μ\mu. For part 1, a measure with finite ss-energy satisfies μ(B(x,r))/rs→0\mu(B(x, r)) / r^s \to 0 as r→0r \to 0 for μ\mu-almost every xx. A density theorem for Hausdorff measure shows that this is impossible when ℋs(K)<∞\mathcal{H}^s(K) < \infty and μ≠0\mu \ne 0.

Example: for n≥3n \ge 3 and s=n−2s = n - 2, the capacity Cn−2C_{n-2} has the same null sets as the Newtonian capacity. So a compact set with ℋn−2(K)<∞\mathcal{H}^{n-2}(K) < \infty, such as a segment in ℝ3\R^3, has Newtonian capacity zero. A compact set of Hausdorff dimension greater than n−2n - 2, such as a flat disc in ℝ3\R^3, has positive Newtonian capacity.

Neither part can be reversed in general: a set with dim⁡HK=s\dim_H K = s may have Cs(K)=0C_s(K) = 0 or Cs(K)>0C_s(K) > 0, depending on finer properties of the set.

Going deeper

For a student

The result turns questions about capacity into questions about dimension and back. It is the basis of the energy method for lower bounds of Hausdorff dimension, used in the study of projections and of Brownian paths. In potential theory it shows that removable and exceptional sets, which are defined through capacity, are always small in the sense of dimension. In the plane the logarithmic capacity sits at the level s=0s = 0: every compact set of positive Hausdorff dimension has positive logarithmic capacity.

Reading path

To understand this page from the ground up, read these 9 pages in order. The foundations come first.

Show the path as a graph
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Compact set concept
  2. Hausdorff dimension concept
  3. Hausdorff measure concept
  4. Probability measure concept
  5. Radon measure concept
  6. Riesz kernel energy concept
  7. Support of a measure concept
  8. Frostman lemma statement
  9. Capacity and Hausdorff dimension statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Frostman_lemma
About this page
Tag77VNNV4VET
URIm2://77VNNV4VET
Kindstatement, theorem
WritingW0 stub
MSC31B15, 28A78
StatusThis copy of the site has no build data. Run m2 status 77VNNV4VET.
AboutHausdorff dimension, Riesz kernel energy
UsesCompact set, Probability measure, Hausdorff measure, Hausdorff dimension, Riesz kernel energy, Frostman lemma

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