Conjecture that the finite-chain limit shape is
Let denote the limit shape of the random-core growth process for fixed . Let be the piecewise-linear curve with vertices
where is the scaling constant used in the paper. Limit-shape conjecture. The limit shape is . The proposed identification explains why the finite-chain growth should exhibit a piecewise-linear shape rather than the Vershik–Kerov shape.
References
Primary source
Svante Linusson and Alperen Özdemir, “The k-Plancherel measure and a Finite Markov Chain”, arXiv:2512.24346 (2025).
Progress summary
The original paper proposed the shape conjecture in 2025, and a reader-written argument now claims a complete proof, but that argument has not been independently verified.
Linusson and Özdemir proposed that the fixed- random-core growth process has the piecewise-linear limit shape in their paper first posted in December 2025. The claim explains why the finite-chain model should differ from the classical Vershik–Kerov shape.
Known results
- Linusson and Özdemir, 2025: reduced the asymptotic behavior to a finite Markov chain with states.
- Linusson and Özdemir, 2025: proved symmetry of the limit shape about the diagonal, conditional on existence.
- Borodin, Olshanski, and others, 2012: established a piecewise-linear shape for a related modulo- random-core process, but not this finite-chain conjecture.
Posted attempt
A reader-written argument claims the stronger equal rectangle-rate formula for every , and derives for every . It claims a complete proof, but the argument has not been independently verified.
Current status (as of August 2026): The paper’s conjecture remains unverified; a complete proof has been claimed in reader discussion, but no corroborating published or independently checked proof was found.
Sources
Solutions 1
ProofThis solution needs a summarySee full solution
The conjectured limit shape (C_k=D_{k+1}) holds for every (k). We prove the stronger exact rectangle-rate theorem from which the source derives this limit shape.
Put and , . We prove simultaneously that every stationary rectangle-creation rate is
and that the limit shape is .
The rectangle property and unique rectangle decomposition give
Indeed, divide the multiplicity of each part by ; the remainder gives a unique . Let denote multiplication by in this free basis, with . Each nonrectangle transition contributes , and each transition creating contributes .
At exponential specialization for , write
The source's transition matrix is
For each , vary while keeping . The specialized Pieri identity gives
Positivity near and irreducibility show that the Perron eigenvalue remains exactly . Differentiating against its stationary left eigenvector gives
Here is the normalized symmetric-group character of a -cycle.
Stanley's rectangular-character residue formula gives
with falling factorials and expansion at infinity. For ,
Multiplication by makes both terms polynomials, so their coefficients vanish. Hence
Moreover, Stanley's permutation-factorization formula and its Narayana top-degree term imply that
is a polynomial of exact degree , with nonzero leading coefficient . Thus form a polynomial basis; evaluating at gives the nonzero Vandermonde determinant
Therefore columns have rank . By (2) their left kernel is exactly the span of . Equation (1) forces
Finally, each step adds one box, while a rectangle transition removes boxes from the residual state. Stationarity of residual size gives
Consequently
For , the same conclusion follows directly from this size-drift equation. The finite-state ergodic theorem gives equal asymptotic multiplicities of all rectangles; the geometric implication immediately following Conjecture 6 in the source then identifies the limiting boundary as
Sources: S. Linusson and A. Özdemir, The -Plancherel Measure and a Finite Markov Chain, arXiv:2512.24346, Conjectures 5 and 6; R. Stanley, Irreducible Symmetric Group Characters of Rectangular Shape, arXiv:math/0109093, equations (8)–(9) and Theorem 1.