Estimates of kernel function of Schrodinger Operator concerning Littlewood Paley projection operator

88 Views Asked by At

Maybe this problem is difficult to understand, because we lump integration and distribution together(usually we can distinguish them).

I have some trouble about the following proof concerning the estimate of kernel function of cutoff Schrodinger operators.

Suppose that $P_{N}$ is the classical Littlewood-Paley cutoff operators. $\phi(\xi)$ is the standard bump function. We have the estimates \begin{equation} \Big|P_{N}e^{it\Delta}(x,y)\Big|\lesssim_{m}\begin{cases}|t|^{-\frac{d}{2}}, {\rm when} |x-y|\sim N|t|\geq N^{-1},\\ \frac{N^{d}}{\langle N^{2}t\rangle^{m}\langle N|x-y|\rangle^{m}} \end{cases} \end{equation}

Proof: \begin{align}\Big(P_{N}e^{it\Delta}\Big)(x,y)&\simeq\int_{\mathbb{R}^{d}}e^{i(x-y)\cdot\xi}\phi(\frac{\xi}{N})e^{-i|\xi|^{2}t}d\xi\\&=N^{d}\int_{\mathbb{R}^{d}}e^{-iN^{2}|\xi|^{2}t+i(x-y)\cdot N\xi}\phi(\xi)d\xi\\&\simeq\Big[N^{d}\hat{\phi}(N\cdot)*(4\pi it)^{-\frac{d}{2}}e^{\frac{i|\cdot|^{2}}{4t}}\Big](x-y)\end{align} Then we always have the estimates $$\Big(P_{N}e^{it\Delta}\Big)(x,y)\lesssim \min\{|t|^{-\frac{d}{2}},N^{d}\},$$ Then we can get the final estimate in the domain $$\{(x,y):|x-y|\sim N|t|\geq N^{-1}\},$$$$\{(x,y):|x-y|\sim N|t|\leq N^{-1}\},$$ and $$\{(x,y):|x-y|\leq N^{-1}, N|t|\leq N^{-1}\}.$$

But for $|x-y|\not\sim N|t|$. Because the boundness of support of $\phi(\xi)$, we can easily see that $|x-y|\gg N|t||\xi|$ or $|x-y|\ll N|t||\xi|$ for $\xi\in{\rm supp}\phi$. By direct calculation, Let $$\Phi(\xi)=-N^{2}t|\xi|^{2}+N(x-y)\cdot\xi$$ we can get $$\nabla_{\xi}\Phi=-2N^{2}t\xi+N(x-y),$$ $$\nabla^{2}_{\xi}\Phi=-2dN^{2}tI_{d\times d}.$$ Construct $$L(D)f=\frac{[Ni(x-y)-2iN^{2}\xi t]\cdot\nabla_{\xi}}{|N(x-y)-2N^{2}\xi t|^{2}}f, \ |\xi|\sim1$$ thus we have $$L(D)^{m}e^{Ni(x-y)\cdot\xi-iN^{2}|\xi|^{2} t}=e^{Ni(x-y)\cdot\xi-iN^{2}|\xi|^{2} t}.$$ Note that \begin{align}\Big|\Big(P_{N}e^{it\Delta}\Big)(x,y)\Big|&\lesssim N^{d}\Big|\int_{\mathbb{R}^{d}}e^{Ni(x-y)\cdot\xi-iN^{2}|\xi|^{2} t}L^{*}(D)^{2m}\phi(\xi)d\xi \Big|\\&\lesssim\frac{N^{d}}{|N(x-y)-2N^{2}\xi t|^{2m}}.\end{align}

The first question is: Why $|L^{*}(D)^{2m}\phi(\xi)|\lesssim \frac{1}{|N(x-y)-2N^{2}\xi t|^{2m}}$? when doing calculus we find that $L^{*}(D)\phi(\xi)=\nabla_{\xi}\cdot\Big(\frac{Ni(x-y)-2iN^{2}\xi t}{|N(x-y)-2N^{2}\xi t|^{2}}\phi(\xi)\Big)$ which should $\lesssim \frac{N^{2}t}{|N(x-y)-2N^{2}\xi t|}$ so $|L^{*}(D)^{2m}\phi(\xi)|\lesssim \frac{N^{4m}t^{2m}}{|N(x-y)-2N^{2}\xi t|^{2m}}$, where does $N^{4m}t^{2m}$ go??

The second question is Why $\frac{N^{d}}{|N(x-y)-2N^{2}\xi t|^{2m}}\lesssim \frac{N^{d}}{\langle N^{2}t\rangle^{m}\langle N|x-y|\rangle^{m}} $? Does it come from that $|x-y|\gg N|t||\xi|$ or $|x-y|\ll N|t||\xi|$? What is the detail of the proof?

The third question is where can I find the material concerning this estimate, any paper?

Thank you!!! Any hint is welcome, God will bless us!