Linear Maps Preserving Rank-additivity and Rank-sum-minimal on Tensor Products of Matrix Spaces

Lele Gao *

College of Science, Northeast Forestry University, Harbin 150040, China.

Yang Zhang

College of Science, Northeast Forestry University, Harbin 150040, China.

Jinli Xu

College of Science, Northeast Forestry University, Harbin 150040, China.

*Author to whom correspondence should be addressed.


Abstract

The problems of characterizing maps that preserve certain invariant on given sets are called the preserving problems, which have become one of the core research areas in matrix theory. If for any A⊕···⊕ Ak’B1 ⊕···⊕ B∈ n1 ⊕···⊕ Mnk, a linear map, Φ : Mn1 ⊕···⊕ Mnk → Mn1 ⊕···⊕ Mnk , as (A⊕···⊕ AB1 ⊕···⊕ Bk) = R (A1 ⊕···⊕ Ak) + R (B1 ⊕···⊕ Bk) established, there is R (Φ (A1 ⊕···⊕ Ak B1 ⊕···⊕ BK)) = R (Φ (A1 ⊕···⊕ Ak)) + R (Φ(B1 ⊕···⊕ BK)) we say that  Φ preserves the rank-additivity. If for any A1 ⊕···⊕ Ak′B1 ⊕···⊕ Bk ∈ Mn1 ⊕···⊕ Mnk, and a linear map, Φ : Mn1 ⊕···⊕ Mnk → Mn1 ⊕···⊕ Mnk  , as established, there is  R(A1 ⊕···⊕ Ak + B1 ⊕···⊕ Bk) = |R(A1( ⊕···⊕ Ak) — R (B1 ⊕···⊕ Bk) we say that Φ rank-sum-miminal. In this paper, we characterize the form of linear mapping Φ.

Keywords: Tensor product, linear maps, rank-additivity, rank-sum-minimal, preserve


How to Cite

Gao, Lele, Yang Zhang, and Jinli Xu. 2019. “Linear Maps Preserving Rank-Additivity and Rank-Sum-Minimal on Tensor Products of Matrix Spaces”. Asian Research Journal of Mathematics 12 (3):1-10. https://doi.org/10.9734/arjom/2019/v12i330089.

Downloads

Download data is not yet available.