Jacket matrices which are defined to be m x m matrices J = [j_ik] over a field F with the property JJ^\dag = mI_m , J^\dag is the transpose matrix of elements inverse of J , i.e., J^\dag = [j^{-1}_ik]^T , was introduced by Lee in 1984 and are used for Digital Signal Processing and Coding theory. This paper presents some square matrices A_2n which can be eigenvalue decomposed by Jacket matrices. Specially, A_2 and its extension A_3 can be used for modifying the properties of hyperbola and hyperboloid, respectively. The ideas that we will develop here have applications in computer graphics and used in many important numerical algorithms.