A faster algorithm of up persistent Laplacian over non-branching simplicial complexes

Rui Dong
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Abstract

In this paper we present an algorithm for computing the matrix representation $\Delta_{q, \mathrm{up}}^{K, L}$ of the up persistent Laplacian $\triangle_{q, \mathrm{up}}^{K, L}$ over a pair of non-branching and orientation-compatible simplicial complexes $K\hookrightarrow L$, which has quadratic time complexity. Moreover, we show that the matrix representation $\Delta_{q, \mathrm{up}}^{K, L}$ can be identified as the Laplacian of a weighted oriented hypergraph, which can be regarded as a higher dimensional generalization of the Kron reduction. Finally, we introduce a Cheeger-type inequality with respect to the minimal eigenvalue $\lambda_{\mathbf{min}}^{K, L}$ of $\Delta_{q, \mathrm{up}}^{K, L}$.
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非分支简单复数上持久拉普拉奇的快速算法
在本文中,我们提出了一种算法,用于计算在一对无分支且方向可兼容的复数 $K\hookrightarrow L$ 上的向上持久性拉普拉奇的矩阵表示 $/三角形_{q, \mathrm{up}}^{K, L}$,该算法具有二次时间复杂性。此外,我们还证明了矩阵表示 $\Delta_{q, \mathrm{up}}^{K,L}$ 可以被识别为加权定向超图的拉普拉奇,这可以被视为克朗还原的高维广义化。最后,我们引入了一个关于 $\Delta_{q, \mathrm{up}}^{K, L}$ 的最小特征值 $\lambda_{mathbf{min}}^{K, L}$ 的切格型不等式。
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