Donald W. Robinson
Brigham Young University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Donald W. Robinson.
Linear Algebra and its Applications | 1981
Roland Puystjens; Donald W. Robinson
Abstract Given an m -by- n matrix A of rank r over a field with an involutory automorphism, it is well known that A has a Moore-Penrose inverse if and only if rank A ∗ A = r = rank AA ∗ . By use of the full-rank factorization theorem, this result may be restated in the category of finite matrices as follows: if ( A 1 , r , A 2 ) is an (epic, monic) factorization of A : m → n through r , then A has a Moore-Penrose inverse if and only if ( A ∗ A 1 , r , A 2 ) and ( A 1 , r , A 2 A ∗ ) are, respectively, (epic, monic) factorizations of A ∗ A : n → n and AA ∗ : m → m through r . This characterization of the existence of Moore-Penrose inverses is extended to arbitrary morphisms with (epic, monic) factorizations.
Linear Algebra and its Applications | 1992
R.B. Bapat; Donald W. Robinson
Abstract Let R be a commutative ring with 1 and with an involution a → ā, and let MR be the category of finite matrices over R with the involution (a ij ) → (a ij ) ∗ = ( a ji ). A matrix A:m → n in MR of determinantal rank r such that u(A) = ∑ α∈Q r.m ∑ α∈Q r.m det A αβ det A αβ has a Moore-Penrose inverse u(A)† in R is said to be Moore invertible with Moore idempotent u(A)u(A)† if u(A)u(A)†A = A . For every matrix A of MR, A has a Moore-Penrose inverse with respect to ∗ if and only if A is the sum of Moore invertible matrices whose Moore idempotents are pairwise orthogonal.
Linear Algebra and its Applications | 1990
Roland Puystjens; Donald W. Robinson
Abstract Let φ: X → Y be a morphism of an additive category with an involution ∗ . Then φ has a Moore-Penrose inverse with respect to ∗ iff φφ ∗ +η ∗ η is invertible for some annihilator η: N → X of φ iff there exists an object Z and morphisms α: X → Z , β: Z → Z , γ: Z → Y such that φ = αβγ , β 2 = β = β ∗ , αβ = α , βγ = γ , and α ∗ α+ 1 z – β and γγ ∗ +1 z – β are invertible. In this case, φ † = φ ∗ (φφ ∗ +η ∗ η) −1 = γ ∗ (γγ ∗ +1 z – β) -1 (α ∗ α+1 z – β) -1 α ∗ .
Linear Algebra and its Applications | 1987
Donald W. Robinson; Roland Puystjens
Abstract Let φ : X → Y be a morphism with kernel κ : K → X in an additive category with an involution ∗ . Then φ has a Moore-Penrose inverse φ † with respect to ∗ iff φφ ∗ + κ ∗ κ is invertible; in this case, φ † = φ ∗ (φφ ∗ + κ ∗ κ) −1 . If X = Y , then φ has a group inverse φ # iff φ has a cokernel γ : X → K and φ 2 + γκ is invertible; in this case, φ # = φ ( φ 2 + γκ ) −1 .
Linear Algebra and its Applications | 1987
Donald W. Robinson
Let A be a complex m×n matrix of rank r and with Moore-Penrose inverse A†. If A=A11A21a12A22, A†:=B11B21B12B22 are partitioned so that Aii is mi×ni and Bii is ni×mi with m=m1+m2, n=n1+n>2, and if the row nullity of a matrix is denoted by η(), then -(m-r)⩽η(B22)-η(A11)⩽n-r.
Linear Algebra and its Applications | 1987
Donald W. Robinson; Roland Puystjens; Jan Van Geel
Abstract Let R be an associative ring with 1 and with an involution a → ā, and let MR be the category of finite matrices over R with the involution (aij) → (aij)∗ = (āji). Then the following two statements are equivalent: (i) If A in MR has a Moore-Penrose inverse with respect to ∗, then A is permutationally equivalent to a matrix of the form B 0 0 0 with B invertible. (ii) If 1 = ∑aā in R, then at most one of the as is not zero.
Linear Algebra and its Applications | 1998
Donald W. Robinson
Abstract Let R be a commutative ring with 1, and let A be an m × n matrix over R with determinantal rank r ⩾ 1. If 1 is in ideal of R generated by the r × r minors of A , then every inner inverse of A is in the image of a linear mapping R ( n r ) × ( m r ) → R n×m that is specified in terms of the classical adjoints of the r × r submatrices of A .
Linear Algebra and its Applications | 1984
Donald W. Robinson
Abstract Given a square complex matrix A with Moore-Penrose inverse A † , we describe the class of invertible matrices T such that ( TAT -1 ) † = TA † T -1 .
Linear Algebra and its Applications | 1989
Donald W. Robinson; Wayne Barrett
Abstract Let ϵ 1 = (1, 0,…, 0) and ϵ = (1, 1,…, 1) be complex vectors of length n , and let D n = ( d ij ), with d ij = 1 if ij and 0 otherwise, be an n × n complex matrix. Then the sizes of the Jordan blocks of the matrix ϵ T ϵ 1 + D n corresponding to the eigenvalue 1 are [log 2 ( n 3 )] + 1, [log 2 ( n 5) ] + 1,…, [log 2 ( n {n}) ] + 1 , where { n } is the greatest odd integer less than or equal to n .
Linear Algebra and its Applications | 1994
Donald W. Robinson
Abstract Let R be a commutative ring with 1 and with an involution -, and let MR be the category of finite matrices over R with the involution (aij) → (a ij ) ∗ =( a ji ) . If A is in MR, then there exists a unique list (e0, …, es) of pairwise orthogonal symmetric idempotents of R that are characterized by several properties involving the rank and squared volume of the eiA. In particular, A has a Moore-Penrose inverse in MR iff esA=0.