# On 2D Inverse Problems/Kernel of Dirichlet-to-Neumann map

The continuous analog of the matrix representation of a Dirichlet-to-Neumann operator for a domain is itskernel. It is a distribution defined on theCartesian productof the boundary of the domain w/itself, such that if

then where and parametrize the boundary w/arclength measure.

For the case of the half-plane w/constant unit conductivity the kernel can be calculated explicitly. It's a convolution, because the domain in consideration is shift invariant:

where *k* is a distribution on a line. Therefore, the calculation reduces to solving the **Dirichlet problem** for a -function at the origin and taking outward derivative at the boundary line.

**Exercise (**)**. Complete the calculation of the kernel *K* for the half-plane to show that off the diagonal.

**Exercise (*)**. Prove that for rotation invariant domain (disc w/ conductivity depending only on radius) the kernel of Dirichlet-to-Neumann map is a convolution.

The **Hilbert transform** gives a correspondence between boundary values of a harmonic function and its harmonic conjugate. where is an analytic function in the domain.

For the case of the complex upper half-plane the Hilbert transform is given by the following formula:

**Exercise (*).** Differentiate under the integral sign the formula above to obtain the kernel representation for the Dirichlet-to-Neumann operator for the half plane.

To define discrete Hilbert transform for a planar network, the network together w/its dual is needed.