166 research outputs found

    Spanning trees in sparse expanders

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    Given integers nΔ2n\ge \Delta\ge 2, let T(n,Δ)\mathcal{T}(n, \Delta) be the collection of all nn-vertex trees with maximum degree at most Δ\Delta. A question of Alon, Krivelevich and Sudakov in 2007 asks for determining the best possible spectral gap condition forcing an (n,d,λ)(n, d,\lambda)-graph to be T(n,Δ)\mathcal{T}(n, \Delta)-universal, namely, it contains all members of T(n,Δ)\mathcal{T}(n, \Delta) as a subgraph simultaneously. In this paper we show that for all ΔN\Delta\in \mathbb{N} and sufficiently large nn, every (n,d,λ)(n, d,\lambda)-graph with λd2Δ5logn \lambda\le\frac{d}{2\Delta^{5\sqrt{\log n}}} is T(n,Δ)\mathcal{T}(n, \Delta)-universal. As an immediate corollary, this implies that Alon's ingenious construction of triangle-free sparse expander is T(n,Δ)\mathcal{T}(n, \Delta)-universal, which provides an explicit construction of such graphs and thus solves a question of Johannsen, Krivelevich and Samotij. Our main result is formulated under a much more general context, namely, the (n,d)(n,d)-expanders. More precisely, we show that there exist absolute constants C,c>0C,c>0 such that the following statement holds for sufficiently large integer nn. (1)(1) For all ΔN\Delta\in \mathbb{N}, every (n,Δ5logn)(n, \Delta^{5\sqrt{\log n}})-expander is T(n,Δ)\mathcal{T}(n, \Delta)-universal. (2)(2) For all ΔN\Delta\in \mathbb{N} with Δcn\Delta \le c\sqrt{n}, every (n,CΔn1/2)(n, C\Delta n^{1/2})-expander is T(n,Δ)\mathcal{T}(n, \Delta)-universal. Both results significantly improve a result of Johannsen, Krivelevich and Samotij, and have further implications in locally sparse expanders and Maker-Breaker games that also improve previously known results drastically.Comment: 27 pages, 4 figures, comments are welcom

    Clique immersion in graphs without fixed bipartite graph

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    A graph GG contains HH as an \emph{immersion} if there is an injective mapping ϕ:V(H)V(G)\phi: V(H)\rightarrow V(G) such that for each edge uvE(H)uv\in E(H), there is a path PuvP_{uv} in GG joining vertices ϕ(u)\phi(u) and ϕ(v)\phi(v), and all the paths PuvP_{uv}, uvE(H)uv\in E(H), are pairwise edge-disjoint. An analogue of Hadwiger's conjecture for the clique immersions by Lescure and Meyniel states that every graph GG contains Kχ(G)K_{\chi(G)} as an immersion. We consider the average degree condition and prove that for any bipartite graph HH, every HH-free graph GG with average degree dd contains a clique immersion of order (1o(1))d(1-o(1))d, implying that Lescure and Meyniel's conjecture holds asymptotically for graphs without fixed bipartite graph.Comment: 2 figure

    Machine Learning-Enabled Regional Multi-Hazards Risk Assessment Considering Social Vulnerability

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    The regional multi-hazards risk assessment poses difficulties due to data access challenges, and the potential interactions between multi-hazards and social vulnerability. For better natural hazards risk perception and preparedness, it is important to study the nature-hazards risk distribution in different areas, specifically a major priority in the areas of high hazards level and social vulnerability. We propose a multi-hazards risk assessment method which considers social vulnerability into the analyzing and utilize machine learning-enabled models to solve this issue. The proposed methodology integrates three aspects as follows: (1) characterization and mapping of multi-hazards (Flooding, Wildfires, and Seismic) using five machine learning methods including Naïve Bayes (NB), K-Nearest Neighbors (KNN), Logistic Regression (LR), Random Forest (RF), and K-Means (KM); (2) evaluation of social vulnerability with a composite index tailored for the case-study area and using machine learning models for classification; (3) risk-based quantification of spatial interaction mechanisms between multi-hazards and social vulnerability. The results indicate that RF model performs best in both hazard-related and social vulnerability datasets. The most cities at multi-hazards risk account for 34.12% of total studied cities (covering 20.80% land). Additionally, high multi-hazards level and socially vulnerable cities account for 15.88% (covering 4.92% land). This study generates a multi-hazards risk map which show a wide variety of spatial patterns and a corresponding understanding of where regional high hazards potential and vulnerable areas are. It emphasizes an urgent need to implement information-based prioritization when natural hazards coming, and effective policy measures for reducing natural-hazards risks in future

    On powers of Hamilton cycles in Ramsey-Tur\'{a}n Theory

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    We prove that for rNr\in \mathbb{N} with r2r\geq 2 and μ>0\mu>0, there exist α>0\alpha>0 and n0n_{0} such that for every nn0n\geq n_{0}, every nn-vertex graph GG with δ(G)(11r+μ)n\delta(G)\geq \left(1-\frac{1}{r}+\mu\right)n and α(G)αn\alpha(G)\leq \alpha n contains an rr-th power of a Hamilton cycle. We also show that the minimum degree condition is asymptotically sharp for r=2,3r=2, 3 and the r=2r=2 case was recently conjectured by Staden and Treglown.Comment: 19 pages, 4 figure
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