Paper detail

On The Boundedness of Bi-parameter Littlewood-Paley $g_λ^{*}$-function

Let $m,n\ge 1$ and $g_{λ_1,λ_2}^*$ be the bi-parameter Littlewood-Paley $g_λ^{*}$-function defined by $$ g_{λ_1,λ_2}^*(f)(x)= \bigg(\iint_{\R^{m+1}_{+}} \big(\frac{t_2}{t_2 + |x_2 - y_2|}\big)^{m λ_2} \iint_{\R^{n+1}_{+}} \big(\frac{t_1}{t_1 + |x_1 - y_1|}\big)^{n λ_1}|θ_{t_1,t_2} f(y_1,y_2)|^2 \frac{dy_1 dt_1}{t_1^{n+1}} \frac{dy_2 dt_2}{t_2^{m+1}} \bigg)^{1/2}, λ_1>1,\quad λ_2>1 $$ where $θ_{t_1,t_2} f$ is a non-convolution kernel defined on $\mathbb{R}^{m+n}$. In this paper, we showed that the bi-parameter Littlewood-Paley function $g_{λ_1,λ_2}^*$ was bounded from $L^2(\R^{n+m})$ to $L^2(\R^{n+m})$. This was done by means of probabilistic methods and by using a new averaging identity over good double Whitney regions.