probabilistic measurement, a new tool to computing the spectrals-base equilibrium points

In a quantum system, equilibrium points are usually defined by the equation of evolution. the analysis of this process is often done by schrödinger equation, and by linear operators on a hilbert space. regardless of the fact that calculations are based on static–point metrics, due to the chaotic behavior, the realization of practical conditions on space and mappings will be relatively difficult. in addition, access to constructive arguments will enable us to provide a computational method. in this paper, at first we define a probabilistic measurement and combine it with probabilistic domains to obtain a probabilistic model suitable for quantum systems. by extending the mappings to nonlinear operators, we examine the conditions under which stable equilibrium points can be reached. in the application section, using the evolution equation, we will determine the stationary points based on their spectral properties. also there will be possible to generalize this method to simultaneous measurements.