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| Main Author: | |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.17992 |
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| _version_ | 1866911459119726592 |
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| author | Zhang, Xinyi |
| author_facet | Zhang, Xinyi |
| contents | In this note, we prove convergence of the half-space exponential last passage percolation (LPP) model, away from the boundary, to the directed landscape. Our approach couples the half-space and full-space LPP models and constructs two barrier events based on the monotonicity of last passage paths. Combining this coupling with moderate deviation estimates for both models and the known convergence of full-space LPP to the directed landscape, we establish the desired convergence. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_17992 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Convergence of Half-Space Last Passage Percolation Away from the Boundary to the Directed Landscape Zhang, Xinyi Probability In this note, we prove convergence of the half-space exponential last passage percolation (LPP) model, away from the boundary, to the directed landscape. Our approach couples the half-space and full-space LPP models and constructs two barrier events based on the monotonicity of last passage paths. Combining this coupling with moderate deviation estimates for both models and the known convergence of full-space LPP to the directed landscape, we establish the desired convergence. |
| title | Convergence of Half-Space Last Passage Percolation Away from the Boundary to the Directed Landscape |
| topic | Probability |
| url | https://arxiv.org/abs/2602.17992 |