F. A matrix A is called positive definite if all of its eigenval-ric systems can be transformed into equivalent symmetric systems so that one can take advantage of the well-developed theories for symmetric systems to analyze them. This is the primary reason to study ‘‘symmetrizability’ ’ of asymmetric systems. In linear dy-namics literature symmetrizability has been addressed by similar-ity transformation based on Taussky’s @10 # definition. We call Taussky’s approach of symmetrization by similarity transforma-tion as ‘‘symmetrization of first kind.’ ’ In this paper symmetriz-ability of a matrix is redefined in the context of equivalence trans-formation. Such symmetrization will be called ‘‘symmetrization of second kind.’’ Equivalence trans...
Over any field F every square matrix A can be factored into the product of two symmetric matrices as...
A real or a complex symmetric matrix is defined here as an equivalent symmetric matrix for a real no...
Over any field F every square matrix A can be factored into the product of two symmetric matrices as...
AbstractIn this paper, linear second-order systems with asymmetric coefficient matrices are consider...
This paper is concerned with symmetrization and diagonalization of real matrices and their implicati...
AbstractIn this paper, linear second-order systems with asymmetric coefficient matrices are consider...
A symmetrizing matrix of an arbitrary n-square matrix M is defined as an n-square symmetric matrix B...
AbstractIt is known that for every real square matrix A there exists a nonsingular real symmetric ma...
A symmetrizer of the matrix A is a symmetric solution X that satisfies the matrix equation XA=Aprime...
In this paper we describe an orthogonal similarity transformation for transforming arbitrary symmetr...
A symmetry of a matrix is a permutation of rows and columns such that the permuted matrix is identic...
AbstractA symmetrizer of a given pair of matrices, A and B, is defined as a matrix X for which the p...
In linear algebra, is the canonical forms of a linear transformation. Given a particularly nice basi...
AbstractIt is shown that if a nonsingular linear transformation T on the space of n-square real symm...
A real or a complex symmetric matrix is defined here as an equivalent symmetric matrix for a real no...
Over any field F every square matrix A can be factored into the product of two symmetric matrices as...
A real or a complex symmetric matrix is defined here as an equivalent symmetric matrix for a real no...
Over any field F every square matrix A can be factored into the product of two symmetric matrices as...
AbstractIn this paper, linear second-order systems with asymmetric coefficient matrices are consider...
This paper is concerned with symmetrization and diagonalization of real matrices and their implicati...
AbstractIn this paper, linear second-order systems with asymmetric coefficient matrices are consider...
A symmetrizing matrix of an arbitrary n-square matrix M is defined as an n-square symmetric matrix B...
AbstractIt is known that for every real square matrix A there exists a nonsingular real symmetric ma...
A symmetrizer of the matrix A is a symmetric solution X that satisfies the matrix equation XA=Aprime...
In this paper we describe an orthogonal similarity transformation for transforming arbitrary symmetr...
A symmetry of a matrix is a permutation of rows and columns such that the permuted matrix is identic...
AbstractA symmetrizer of a given pair of matrices, A and B, is defined as a matrix X for which the p...
In linear algebra, is the canonical forms of a linear transformation. Given a particularly nice basi...
AbstractIt is shown that if a nonsingular linear transformation T on the space of n-square real symm...
A real or a complex symmetric matrix is defined here as an equivalent symmetric matrix for a real no...
Over any field F every square matrix A can be factored into the product of two symmetric matrices as...
A real or a complex symmetric matrix is defined here as an equivalent symmetric matrix for a real no...
Over any field F every square matrix A can be factored into the product of two symmetric matrices as...