“…The components of a GOE eigenstate, , are random numbers that are uniformly distributed on a unit sphere with dimension . In the limit , the dependence between components vanishes, and the distribution of components can be well described by a Gaussian distribution with zero mean and variance [ 77 , 90 , 91 , 92 ], In the chaotic systems, it has been known that the coefficients of the mid-spectrum eigenstates are distributed as a near-Gaussian distribution [ 77 , 78 , 93 , 94 , 95 ], while the coefficients’ distribution for the eigenstates of nonchaotic systems and the edge eigenstates of chaotic systems is significantly different from Gaussian distribution [ 95 , 96 , 97 ]. As increasing leads to the onset of chaos in the model; one would expect that the distribution of mid-spectrum eigenstates coefficients should be turned from non-Gaussian into near-Gaussian.…”