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Dynamical systems for eigenvalue problems of axisymmetric matrices with positive eigenvalues

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abstract

We consider the eigenvalues and eigenvectors of an axisymmetric matrix$A$ with some special structures. We propose S-Oja-Brockett equation $\frac{dX}{dt}=AXB-XBX^TSAX,$ where $X(t) \in {\mathbb R}^{n \times m}$ with $m \leq n$, $S$ is a positive definite symmetric solution of the Sylvester equation $A^TS = SA$ and $B$ is a real positive definite diagonal matrix whose diagonal elements are distinct each other, and show the S-Oja-Brockett equation has the global convergence to eigenvalues and its eigenvectors of $A$.

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representative citing papers

Spatial Process Mining

stat.AP · 2025-06-06 · reject · novelty 4.0

Spatial process mining generates event logs from ceiling-camera detections and uses a HITS-style ranking of process nodes to identify abnormal manufacturing cycles.

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  • Spatial Process Mining stat.AP · 2025-06-06 · reject · none · ref 19 · internal anchor

    Spatial process mining generates event logs from ceiling-camera detections and uses a HITS-style ranking of process nodes to identify abnormal manufacturing cycles.