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Research Article Open access CC BY 4.0

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

Lele Gao, Yang Zhang, Jinli Xu

Asian Research Journal of Mathematics · pp. 1–10 · Published 4 Mar 2019

10.9734/arjom/2019/v12i330089

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 A1 ⊕···⊕ Ak’B1 ⊕···⊕ Bk ∈ M n1 ⊕···⊕ Mnk, a linear map, Φ : Mn1 ⊕···⊕ Mnk → Mn1 ⊕···⊕ Mnk , as R (A1 ⊕···⊕ Ak + B1 ⊕···⊕ 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.

Tensor product linear maps rank-additivity rank-sum-minimal preserve

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