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8 papers

stat.ME2026

Graph statistics: An emerging discipline in non-Euclidean data analysis

Rongling Wu, Shing-Tung Yau

The paper provides an overview of graph statistics, a new discipline for analyzing data that naturally form dynamic networks, and discusses its theoretical foundations, methods, an…

math.DG2026

Iterative construction of Hermitian-Einstein metrics on stable bundles

Jiaxuan Fan, Zhiyao Xiong, Xiaokui Yang +1

Let be a stable holomorphic vector bundle over a compact Kähler (or Gauduchon) manifold . We show that for any real number and any initial Hermitian metric $h…

math.DG2026

The prescribed Hermitian-Yang-Mills flow II

Zhiyao Xiong, Xiaokui Yang, Shing-Tung Yau

We prove an analogue of the classical Donaldson-Uhlenbeck-Yau theorem by using the prescribed Hermitian-Yang-Mills flow. Let be a holomorphic vector bundle over a compact Kähl…

math.DG2026

The prescribed Hermitian-Yang-Mills flow I

Zhiyao Xiong, Xaokui Yang, Shing-Tung Yau

In this paper, we introduce a broad class of flows, including the prescribed Hermitian-Yang-Mills flow: where $…

math.DG2026

Existence of twisted Hermitian-Einstein metrics on unstable vector bundles

Mingwei Wang, Xiaokui Yang, Shing-Tung Yau

In this paper, we demonstrate that twisted Hermitian-Einstein metrics on holomorphic vector bundles exist without obstruction. More precisely, for an arbitrary holomorphic vector b…

math.DG2026

Existence of Hermitian metrics with prescribed Hermitian-Yang-Mills tensors I

Mingwei Wang, Xiaokui Yang, Shing-Tung Yau

In this paper, we solve the prescribed Hermitian-Yang-Mills tensor problem. Let be a holomorphic vector bundle over a compact Kähler manifold . Suppose that there…