The stiffness matrix $K$ in a finite element analysis is a symmetric positive definite matrix. When we introduce essential boundary conditions, we remove rows and columns associated with prescribed displacements, for example. And we obtain a linear system of equations $\bar{K}\bar{X}=\bar{F}$ in which $\bar{K}$ is the reduced stiffness matrix and is obtained by removing rows and columns of stiffness matrix $K$ associated with essential boundary conditions. My project is about damage in cyclic loading (low-cycle, $10^3$). This is a non-linear analysis because of plasticity and damage involved in. So, the run-time of the code that I am writing will be too large. I want to use Conjugate Gradient method for solving the systems of linear equations during the analysis. But the method requires that the reduced stiffness matrix $\bar{K}$ is symmetric and positive definite. The symmetry of $\bar{K}$ is trivial, but I do not know whether it is always positive definite or not.
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Second, in the more complex case of plasticity, especially if you use Lagrange multipliers, the tangent matrix is not necessary positive definite. Sometimes it is not even symmetric. You should provide more details of your model.
– knl Jan 10 '18 at 07:55