In the present work we give a simple method to obtain weighted norm inequalities in Lebesgue spaces with Muckenhoupt weights . This method is different from celebrated Extrapolation or Interpolation Theory. In this method starting point is uniform norm estimates of special form. Then a procedure give desired weighted norm inequalities in We apply this method to obtain several convolution type inequalities. As an application we consider a difference operator of type where is the identity operator, and \begin{equation*} \mathfrak{T}{v}f\left( x\right) :=\frac{1}{v}\int\nolimits{x}^{x+v}f\left(t\right) dt,\quad x\in \left[ -\pi ,\pi \right] ,\quad v>0,\quad \mathfrak{T}_{0}:=. \end{equation*} We obtain main properties of for functions given in , , with weights satisfying the Muckenhoupt’s condition. Also we consider some applications of difference operator in these spaces. In particular, we obtain that difference is a useful tool for computing the smoothness properties of functions these spaces. It is obtained that is equivalent to Peetre’s K-functional.

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