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Matrices Over Commutative Rings And Its Application To Partitioned Matrices With Commuting Blocks

Posted on:2008-07-05Degree:MasterType:Thesis
Country:ChinaCandidate:H W JiaFull Text:PDF
GTID:2120360212995923Subject:Basic mathematics
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This thesis concerns with diagonalization of matrices over a commutative ring R such that the free module R n is cohopfian, to generalize results in the literature about diagonalization of partitioned matrices with commuting blocks. We correct mistakes appeared in the literature.Let Mm(C) m denote the ring of m×m matrices over the complex number field. It is well known that any commuting subset of Mm(C) m is contained in a maximal commutative subring. For a maximal commutative subring Pm = Pm of Mm, let Mp,q Pm denote the set of p×q matrices over Pm , abbreviated ( )M r Pm whenever p = q = r. The matrices in Mp,q Pm is called matrices with commuting blocks..In 1971, Dennis et. al. introduced block eigenvalues for partitioned matrices. Vitória studies the case of matrices with commuting blocks and gives conditions of diagonalization of such matrices. Vitória also introduces a generalization of compound matrices---block compound matrices, which is compound matrices over Pm(C) . However several Chinese authors called every matrix over Pm(C) block compound matrix ambiguously. So we prefer to use the notion of matrices with commuting blocks to name the matrices over Pm(C) . Let ( )A∈Mn Pm and ( )Λ∈Pm, if AX = XΛfor some X∈Mn ,1Pm of full rank, thenΛis called a block eingenvalue of A and X is called the corresponding block eigenvector of A.The eigenvalues ofΛare eigenvalues of A. Conversely, a set of block eigenvalues of A is called a complete set if all eigenvalues of these block eigenvalues are just all eigenvalues of A.Vitória proves that for a complete set { }Λ1 ,…,Λn of block eigenvalues, if Vandermonde matrix is nonsingular, then the corresponding block eigenvetors X1 , X2, , Xn is block-linearly independent, and ( ) ( ) ( )1X1 , X2 , , Xn ? A X1 , X2 , , Xn = diagΛ1 ,Λ2, ,Λn.In 1999, Pang called the matrices over Pm(C) block compound matrices. He gives necessary and sufficient conditions of diagonalization of so-called block compound matrices. There is a gap in his paper and we fix it in this thesis.In§2, we generalize Cramer rule, invertibility and Vandermonde matrices to matrices over a commutative ring.Let R denote commutative ring with 1, and ( )Mn(R) denote the n×n matrix ring over R.Theorem 2.1 Let ( )A∈Mn(R). Then the columns of A is linearly independent if and only if the system of linear equations Ax = 0 has only the trivial solution.Theorem 2.3 Let ( )A∈Mn(R). Then the following conditions are equivalent:(1) A is invertible.(2) detA is invertible.(3) The columns of A is a free basis of R n.Theorem 2.4 Let r1 , r2 , , rn∈R. Then the Vandermonde matrix ( )V r1 , r2 , , rn is invertible if and only if ri ? rj,1≤j < i≤n,are all invertible.In§3 we generalize diagonalization of scalar matrices to matrices with commuting blocks.Definition 3.1 For A∈Mn(R) and d∈R, if there exists an independent elementξ∈Rn, such that Aξ= dξ, we called d is an R ? eigenvalue (shortly, eigenvalue) andξa corresponding R ?eigenvector (shortly, eigenvector).Theorem 3.1 For A∈Mn (Pm), the block eigenvectors coincide with (Pm) ? eigenvalues.Theorem 3.2 Let A, P , D∈Mn( R), P invertible and D = diagλ1 ,λ2 , ,λn. Then P ?1 AP = D if and only if the columns of P are the corresponding eigenvectors, respectively.Theorem 3.3 Let A∈Mn(R). Then A is similar to a diagonal matrix if and only if R n has a free basis consisting of eigenvectors of A.Theorem 3.4 For ( )A∈MnR with eigenvaluesλ1 ,λ2 , ,λs and corresponding eigenvectorsα1 ,α2, ,αs∈Rn. Ifλi ?λj,1≤i < j≤s,are not zero divisors, thenα1 ,α2, ,αs is linearly independent.A module is called cohopfian if its monomorphisms are all automorphisms.Artinian modules, especially finitely generated modules over ( )(Pm) are cohopfian.Theorem 3.5 For a position integer n , and a ring R , the following are equivalent:(1) Rn is a cohopfian R ? module.(2) n linearly independent elements is a free basis. (3) matrices with linearly independent columns are invertible.Theorem 3.6 Let R is a ring such that R n is a cohopfian R ? module, and ( )A∈M nR,with eigenvaluesλ1 ,λ2 , ,λn . If the Vandermonde matrix ( )Vλ1 ,λ2 , ,λn is invertible, then A is similar to ( )diagλ1 ,λ2 , ,λn .In the literature, there exists an incorrect statement: for a complete setΛ1 ,Λ2, ,Λnof block eigenvalues of A, if A is block-similar to ( )diag (Λ1 ,Λ2, ,Λn), then VΛ1 ,Λ2, ,Λn is invertible.It is a routine matter to check that 1 with and is a counter example. Theorem 3.7 Let A∈Mn (Pm) with a complete set of block eigenvaluesΛ1 ,Λ2, ,Λn. If A has distinct eigenvalues, then V(Λ1 ,Λ2, ,Λn is invertible.
Keywords/Search Tags:Commutative
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