Limit theorems for random Motzkin paths near boundary. (English) Zbl 07874416
Summary: We consider Motzkin paths of length \(L\), not fixed at zero at both end points, with constant weights on the edges and general weights on the end points. We investigate, as the length \(L\) tends to infinity, the limit behaviors of (a) boundary measures induced by the weights on both end points and (b) the segments of the sampled Motzkin path viewed as a process starting from each of the two end points, referred to as boundary processes. Our first result concerns the case when the induced boundary measures have finite first moments. Our second result concerns when the boundary measure on the right end point is a generalized geometric measure with parameter \(\rho_1 \geq 1\), so that this is an infinite measure and yet it induces a probability measure for random Motzkin path when \(\rho_1\) is not too large. The two cases under investigation reveal a phase transition. In particular, we show that the limit left boundary processes in the two cases have the same transition probabilities as random walks conditioned to stay non-negative.
MSC:
| 60K35 | Interacting random processes; statistical mechanics type models; percolation theory |
| 82C22 | Interacting particle systems in time-dependent statistical mechanics |
| 60F05 | Central limit and other weak theorems |
Keywords:
discrete Bessel process; Matrix Ansatz; Motzkin paths; random walk conditioned to stay positive; Viennot’s formulaReferences:
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