In 2011, Kilmer and Martin proposed tensor singular value decomposition (T-SVD) for third order tensors. Since then, T-SVD has applications in low rank tensor approximation, tensor recovery, multi-view clustering, multi-view feature extraction, tensor sketching, etc. By going through the Discrete Fourier transform (DFT), matrix SVD and inverse DFT, a third order tensor is mapped to a f-diagonal third order tensor. We call this a Kilmer-Martin mapping. We show that the Kilmer-Martin mapping of a third order tensor is invariant if that third order tensor is taking T-product with some orthogonal tensors. We define singular values and T-rank of that third order tensor based upon its Kilmer-Martin mapping. Thus, the tensor tubal rank, T-rank, singular values and T-singular values of a third tensor are invariant when it was taking T-product with some orthogonal tensors. We make a conjecture that the sum of squares of the largest $s$ singular values of a third order tensor is greater than or equal to the sum of squares of any $s$ entries of that third order tensor. Kilmer and Martin showed that an Eckart-Young theorem holds for the tensor tubal rank of third order tensors. We show that our conjecture is true if and only if another Eckart-Young theorem holds for the T-rank of third order tensors.
翻译:2011 年, Kilmer 和 Martin 提出了 3 级的 3 级单值分解( T- SVD ) 。 自此以后, T- SVD 应用了低级高压近似、 高压恢复、 多视图组合、 多视图特征提取、 高素描等。 通过 Discrete Fourier 变形( DFT)、 矩阵 SVD 和 反 DFT, 第三级的 10 调被映射为 F- diagonal 第三级的 。 我们称之为 Kilmer- Martin 映射第三级 。 我们显示, 如果 3 级的 AR0 调调调调的基调调调调调调调调调调高, 则具有异调调调调调调高调调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调高调