Abstract: The joint asymptotic distribution of kernel estimator of probability density function in a finite number of points is studied and proved under φ-mixing samples. By applying the blockwise technique and moment inequalities, it is shown that the joint asymptotic distribution is asymptotically multivariate normal distributed. As its application, the asymptotic distribution of the difference of density function between any two points is given.