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arxiv: 1907.07121 · v1 · pith:EA3AQSJQnew · submitted 2019-07-13 · 🧮 math.DS · math.CA

L^q dimensions of self-similar measures, and applications: a survey

Pith reviewed 2026-05-24 21:40 UTC · model grok-4.3

classification 🧮 math.DS math.CA
keywords self-similar measuresL^q dimensionsexponential separationBernoulli convolutionsCantor set intersectionsFurstenberg conjecture
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The pith

A formula computes the L^q dimensions of self-similar measures on the real line under exponential separation.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper gives a self-contained proof of an explicit formula for the L^q dimensions of self-similar measures supported on the real line. The formula applies when the measures satisfy the exponential separation condition, relying on an inverse theorem for the L^q norm of convolutions as a black box. The same result is applied to obtain information about Bernoulli convolutions and intersections of self-similar Cantor sets.

Core claim

Under exponential separation, the L^q dimensions of self-similar measures on the real line equal a specific expression determined by the contraction ratios and probability weights, proved directly in one dimension as a simplified case of a prior general theorem, with the inverse convolution theorem taken as given.

What carries the argument

The exponential separation condition, which controls the spacing of the images under the iterated function system and enables the dimension formula.

If this is right

  • The L^q dimensions become computable from the defining parameters of the measure without further analysis.
  • New dimension bounds follow for Bernoulli convolutions that meet the separation hypothesis.
  • Dimension statements are obtained for intersections of self-similar Cantor sets on the line.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The separation condition may serve as a template for analogous results on measures generated by other iterated function systems.
  • The one-dimensional proof structure could guide extensions to measures invariant under non-linear maps if suitable separation notions are identified.

Load-bearing premise

The measures obey the exponential separation condition and the inverse theorem for the L^q norm of convolutions holds.

What would settle it

A concrete self-similar measure on the line that satisfies exponential separation yet whose L^q dimensions deviate from the stated formula.

read the original abstract

We present a self-contained proof of a formula for the $L^q$ dimensions of self-similar measures on the real line under exponential separation (up to the proof of an inverse theorem for the $L^q$ norm of convolutions). This is a special case of a more general result of the author from [Shmerkin, Pablo. On Furstenberg's intersection conjecture, self-similar measures, and the $L^q$ norms of convolutions. Ann. of Math., 2019], and one of the goals of this survey is to present the ideas in a simpler, but important, setting. We also review some applications of the main result to the study of Bernoulli convolutions and intersections of self-similar Cantor sets.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The paper presents a self-contained proof of the formula for the L^q dimensions of self-similar measures on the real line under the exponential separation condition (up to the inverse theorem for L^q norms of convolutions, treated as a black box from the author's 2019 Annals paper). It is framed as a simplification of the general result in a restricted but important setting, and includes a review of applications to Bernoulli convolutions and intersections of self-similar Cantor sets.

Significance. If the reduction holds, the survey strengthens accessibility to the core techniques by isolating the real-line exponential separation case, providing a clearer path to the dimension formula without the full generality of the 2019 result. Explicit applications to Bernoulli convolutions and Cantor set intersections connect the dimension estimates to concrete problems in fractal geometry, and the transparent treatment of the inverse theorem as a black box is a positive feature for readers.

major comments (1)
  1. [Abstract] Abstract: the self-contained claim is qualified by excluding the inverse theorem, but the manuscript must explicitly identify the precise point in the proof (e.g., the convolution estimate or dimension reduction step) where the black-box result is invoked, so that the scope of the self-contained portion is unambiguous.
minor comments (2)
  1. The applications section should state the precise open questions (e.g., exact dimension of Bernoulli convolutions for algebraic parameters) that the L^q formula resolves or advances.
  2. Notation for the exponential separation condition should be recalled in the statement of the main theorem for readers who consult only the survey.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the positive assessment and the constructive comment on clarifying the scope of the self-contained argument. We address the point below.

read point-by-point responses
  1. Referee: [Abstract] Abstract: the self-contained claim is qualified by excluding the inverse theorem, but the manuscript must explicitly identify the precise point in the proof (e.g., the convolution estimate or dimension reduction step) where the black-box result is invoked, so that the scope of the self-contained portion is unambiguous.

    Authors: We agree that an explicit identification of the invocation point will make the boundary of the self-contained portion unambiguous. In the revised manuscript we will add a short paragraph immediately after the statement of the main theorem (in the introduction) stating that the inverse theorem for L^q norms of convolutions is invoked precisely in the convolution estimate step that reduces the L^q dimension calculation to an application of the exponential separation hypothesis (corresponding to the passage from equation (3.2) to (3.3) in the proof). This will delineate the self-contained material without altering the overall structure. revision: yes

Circularity Check

0 steps flagged

No significant circularity; self-contained special-case proof with acknowledged black-box citation

full rationale

The paper explicitly frames its main contribution as a self-contained proof of the L^q dimension formula for self-similar measures on the line under exponential separation, up to an inverse theorem for L^q convolution norms treated as a black box from the author's prior Annals paper. This limitation is stated in the abstract, and the survey's goal is simplification of the reduction rather than reproof of the inverse theorem. No steps reduce by construction, self-definition, or renaming; the derivation chain is independent of the present paper's fitted values or internal inputs. Self-citation exists but is not load-bearing for the restricted result presented here.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

Only the abstract is available, so the ledger reflects standard background assumptions in the field rather than new postulates.

axioms (1)
  • standard math Standard results from ergodic theory and harmonic analysis on self-similar measures and convolutions
    The survey relies on established theory in dynamical systems and analysis.

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Reference graph

Works this paper leans on

23 extracted references · 23 canonical work pages · 2 internal anchors

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