[Paper Review] A continuous, piecewise affine surface map with no measure of maximal entropy
This paper constructs a continuous, piecewise affine surface map on the unit square with topological entropy log 2, demonstrating that no invariant probability measure achieves this entropy—thus proving the existence of a continuous, piecewise affine map without a measure of maximal entropy, contrary to known results for homeomorphisms. The construction exploits unstable dynamics near a fixed point and a symbolic extension to show that entropy-supremizing measures cannot exist due to unbounded growth in a coordinate.
It is known that piecewise affine surface homeomorphisms always have measures of maximal entropy. This is easily seen to fail in the discontinuous case. Here we describe a piecewise affine, globally continuous surface map with no measure of maximal entropy.
Motivation & Objective
- To resolve the open question of whether continuous, piecewise affine surface maps always admit a measure of maximal entropy.
- To construct a counterexample where topological entropy is finite but no invariant probability measure achieves it.
- To extend the understanding of entropy maximization in piecewise affine dynamics beyond homeomorphisms and smooth maps.
- To demonstrate that the variational principle for entropy can fail even in the presence of global continuity and affine structure.
- To explore the role of dynamical complexity and coordinate growth in obstructing the existence of maximal entropy measures.
Proposed method
- Define a piecewise affine map T on a parallelogram Q ⊂ [0,1]^2 with fixed points at N and S, and partition Q into 26 triangles where T is affine.
- Establish that the vertical cone field Cs is invariant under the inverse of T on the critical regions ABS and CDS, ensuring stable dynamics.
- Use a symbolic extension γ: K₀ → Σ (the 2-shift) defined by tracking whether iterates land in ABS (0) or CDS (1), with γ preserving entropy via Bowen’s result.
- Construct a nested family of finite extensions F_M of subshifts Σ_M with entropy approaching log 2, embedded into the dynamics near S.
- Prove that any hypothetical maximal entropy measure μ would require unbounded growth in the y-coordinate along orbits, contradicting the existence of a probability measure.
- Leverage the fact that y_{k+1} ≥ 2^{sign(x_k)} y_k to show that ∑ sign(x_k) must diverge for entropy-maximizing measures, which is impossible under a finite invariant measure.
Experimental results
Research questions
- RQ1Can a continuous, piecewise affine surface map fail to admit a measure of maximal entropy, even when topological entropy is finite?
- RQ2What dynamical features prevent the existence of a measure achieving the topological entropy in such maps?
- RQ3How does the interplay between affine structure, continuity, and coordinate growth affect entropy maximization?
- RQ4To what extent does the failure of entropy maximization in this class contrast with known results for C^∞ maps or piecewise monotone interval maps?
- RQ5Is there a structural obstruction—such as unbounded growth in a coordinate—that can prevent the existence of a maximal entropy measure in piecewise affine systems?
Key findings
- The constructed map T on [0,1]^2 has topological entropy h_top(T) = log 2.
- Despite this finite entropy, no invariant probability measure μ satisfies h(T, μ) = log 2, so no measure of maximal entropy exists.
- The absence of a maximal entropy measure arises from the requirement that any such measure would need to assign positive mass to orbits with unbounded y-coordinate growth.
- The symbolic extension γ: K₀ → Σ shows that entropy of invariant measures on K₀ is bounded by log 2, and equality would require the (1/2,1/2)-Bernoulli measure on the shift.
- However, such a measure would imply that ∑ sign(x_k) diverges along almost every orbit, which forces y_n → ∞, contradicting the finiteness of a probability measure.
- The result extends to all dimensions d ≥ 2 via direct product with the identity on a cube, yielding similar counterexamples in higher dimensions.
Better researchstarts right now
From reading papers to final review, dramatically reduce your research time.
No credit card · Free plan available
This review was created by AI and reviewed by human editors.