Condensed Cramer rule for computing a kind of restricted matrix equation
Chao Gu, XU Zhao-liang
Abstract
Chao Gu, XU Zhao-liang
Abstract
The problem of finding Cramer rule for solutions of some restricted linear equation Ax = b has been widely discussed. Recently Wang and Qiao consider the following more general problem AXB = D, , . They present the solution of above general restricted matrix equation by using generalized inverses and give an explicit expression for the elements of the solution matrix for the matrix equation. In this paper we re-consider the restricted matrix equation and give an equivalent matrix equation to it. Through the equivalent matrix equation, we derive condensed Cramer rule for above restricted matrix equation. As an application, condensed determinantal expressions for A and are established. Based on above results, we present a method for computing the solution of a kind of restricted matrix equation.
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The problem of finding Cramer rule for solutions of some restricted linear equation Ax = b has been widely discussed. Recently Wang and Qiao consider the following more general problem AXB = D, , . They present the solution of above general restricted matrix equation by using generalized inverses and give an explicit expression for the elements of the solution matrix for the matrix equation. In this paper we re-consider the restricted matrix equation and give an equivalent matrix equation to it. Through the equivalent matrix equation, we derive condensed Cramer rule for above restricted matrix equation. As an application, condensed determinantal expressions for A and are established. Based on above results, we present a method for computing the solution of a kind of restricted matrix equation.
Key concepts: Mathematics, Matrix difference equation, Matrix (chemical analysis), Matrix differential equation, Matrix function, Pascal matrix, Applied mathematics, Square matrix