Trace - Integration - Average - Tensor Calculus

[Joschua_S]

Hi

Let D be an anisotropic tensor. This means especially, that D is traceless. \mathrm{tr}(D) = 0

Apply the representating matrix of D to a basis vector S, get a new vector and multiply this by dot product to your basis vector. Than you got a scalar function.

Now integrate this function over a symmetric region, for example the n-dimensional unit-sphere or a n-dimensional Cube or something other symmetric.

\int SDS ~ \mathrm{d} \Omega

This integral vanish!

\int SDS ~ \mathrm{d} \Omega = 0

My question:

Trace is for me like an average of something. The symmetric integration vanish also, like the trace.

Is there a link between trace zero and the vanishing integral? What is the math behind this.

If you wish one example. A part of a dipole-dipole coupling Hamiltonian in spectroscopy is given by H_{DD} = SDS, with the anisotropic zero field splitting tensor D and spin S.

Greetings

 

[arkajad]

Is there a link between trace zero and the vanishing integral?

Not in the cases like you have presented. A non-zero scalar function has alway non-zero trace. But the integral can be zero or non zero.

 

[Joschua_S]

Hi

This means that the integral vanish here is pure randomness?

There are no theorems in math about anisotropic tensors, trace and integrals? :-(

Greetings

 

[arkajad]

Hi

This means that the integral vanish here is pure randomness?

In fact I see no reason for your integral to vanish unless you have some additional assumptions (that you did not list) about the dependence of your D and S on space variables.

 

[Joschua_S]

The dipole-dipole Hamiltonian in ESR is given by

H_{DD} = \dfrac{\mu_0}{2h} g_j g_k \mu_b^2 \left( \dfrac{\vec{S}_j \cdot \vec{S}_k}{r^3_{jk}} - \dfrac{3(\vec{S}_j \cdot \vec{r}_{jk}) \cdot (\vec{S}_k \cdot \vec{r}_{jk})}{r^5_{jk}} \right)

One can write it as

H_{DD} = \vec{S} \underline{\underline D} \vec{S}

with the traceless symmetric Tensor D that fullfills \int SDS ~ \mathrm{d} \Omega = 0

Do you know something about the math behind this?

Greetings

 

[Joschua_S]

arkajad?