Project Details
Description
In this work, we examine a matrix differential equation that approximates the $k$-dimensional dominant eigenspace of a matrix. We determine that its solution is orthonormal, and thus we denote this solution as the generalized orthogonal flow. We also ensure its existence and uniqueness for all time $t \in \mathbb{R}$ . In addition, we construct a particular generalized orthogonal flow that possesses minimal variation. Our findings show that the path with minimal variation is identical to an Oja-like flow. Furthermore, we conduct an in-depth analysis of the asymptotic behavior and the rate of convergence of like flow.
| Status | Finished |
|---|---|
| Effective start/end date | 2024/08/01 → 2025/07/31 |
Keywords
- orthonormal
- generalized orthogonal flow
- minimal variation
- the Oja-like flow
- rate of convergence
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