Introduction Program Talks & posters Participants Practical Info
Young Women in Harmonic Analysis and PDE
December 2-4, 2016
Marco Fraccaroli (University of Bonn)
On distributions with full $GL_{2}(\mathbb{R})$ dilation symmetry
The tempered distribution in $\mathbb{R}^{4}$
\[
\Lambda(\varphi) := \text{p.v.} \int_{\mathbb{R}^{4}} \frac{1}{\text{det}(x \ y)} \varphi(x,y) \ dx dy,
\]
arises in a recent paper by Gressman, He, Kovač, Street, Thiele, Yung, where $x,y \in \mathbb{R}^{2}$ and the principal value is taken as $\text{det}(x \ y)$ goes to 0. It satisfies the following invariance property:
For a matrix $A \in GL_{2}(\mathbb{R})$ define the transform
\[
D_{A}^{1} \varphi (x,y) := \frac{1}{\text{det } A} \varphi (A^{-1}x,A^{-1}y)
\]
for every $\varphi \in \mathcal{S}(\mathbb{R}^{4})$. Then for every $A$ and $\varphi$ as above
\[
\Lambda(D_{A}^{1}\varphi)=\Lambda(\varphi).
\]
Motivated by this we want to classify all the tempered distributions in $\mathbb{R}^{4}$ satisfying the $D_{A}^{\alpha}$-invariance property for matrices with positive determinant (where $\alpha$ identify the exponent of $({\text{det } A}^{-1})$ in the definition of $D_{A}^{\alpha} \varphi$) and distinguish them according to their behaviour against a matrix with determinant -1, namely one of the two possible invariances of the form
\[
\Lambda (\varphi(x_{1},-x_{2},y_{1},-y_{2}))=\pm \Lambda(\varphi(x,y)).
\]