Exact overlaps conjecture
Let be a finite self-similar iterated-function system on , where , and let be positive weights with . Let be the associated self-similar measure satisfying . If is the Lyapunov exponent and is the asymptotic Shannon entropy of the random walk generated by the affine maps , then the conjectured dimension formula is . In the equivalent exact-overlaps formulation, any dimension loss beyond the value predicted without overlaps must be explained by exact overlaps between distinct finite compositions of the maps, meaning that for two distinct words.
References
Primary source
Additional references
- The Exact Overlaps Conjecture for Self-Similar Measures on the Real Line — arXiv — Samuel Kittle, Constantin Kogler
Progress summary
A new preprint claims to settle the one-dimensional case, but the higher-dimensional conjecture remains open and the claim has not been independently verified.
The conjecture predicts that dimension loss for self-similar measures is explained by exact overlaps between distinct iterated maps. Earlier work established strong one-dimensional partial results but not the unrestricted conjecture.
Known results
- Hochman (2014): dimension drop implies superexponentially close cylinders; for algebraic parameters, either exact overlaps occur or the dimension is the generic value .
- For systems on the real line with algebraic contraction ratios, the conjectured dimension formula is proved, with arbitrary translations.
October 2026 one-dimensional claim
Samuel Kittle and Constantin Kogler report a variance-based entropy inequality that establishes the conjectured formula for one-dimensional self-similar measures. This is a claimed advance in a specialist preprint and has not been independently verified; higher-dimensional cases are outside its scope.
Current status (as of October 2026): The one-dimensional case is claimed solved by a new preprint but remains unverified; higher-dimensional cases remain open.
Sources
Solutions 0
No solutions have been posted yet.