🏷️ Introduction

We start with a simple application of Grönwall’s inequality.

Grönwall's inequality

If the following relation holds

then .

The traditional way (of course a nice one) is letting

and utilize the relation

Here, we attempt with an alternative way. We define the integral operator by the following:

Then is a positive and compact operator (why?). According to the Krein-Rutman theorem, if its spectral radius is a positive eigenvalue, and we must have the corresponding eigenfunction strictly positive. However, the definition of implies that , which gives a contradiction. Therefore, the spectral radius .

Observe that implies (why?), the Gelfand’s formula implies as , hence by taking .


📝 Extension

If there is another operator that commutes with , then the spectral radius can be estimated. We consider the abstract problem as follows.

Extension of Grönwall's inequality

Let be a linear positive operator with that commutes with , and

then .

The commutativity implies an estimate (why?). Then the same argument holds since as .

This conclusion seems somewhat trivial. Let us consider an immediate application in transport equation.

📖 Background of transport equation

The transport equation describes the dynamics of radiative particles interacting with the environment (absorption, scattering, etc.). For instance, supposing the medium is homogeneous, the governing equation can be written in the following form:

where is the scattering operator, which represents the probability of scatter events that change direction to the direction . The function is the source defined on the incoming boundary set:

🔦Cone-beam source

The cone-beam source function means is quite focusing. The precise definition is the following.

Cone-beam source

If satisfies that

  • is non-negative;
  • There exists a set that .

Then is called a cone-beam source.

Intuitively, this means the source is one-way dominated (like a laser) and only supported on a certain subset of . In a special case that , we find the solution can be solved directly.

where denotes the distance from to the boundary following direction.

〰️ Nonlinearity

In a practical scenario, may depend on the solution’s flux (e.g., multi-photon absorption), therefore we obtain a nonlinear equation

where represents the usual probability measure on the sphere. Here, we need some continuity assumption.

Assumption on Lipschitz continuity

Let us first assume the existence of the solution and focus on the uniqueness. If there exists a solution different from , then we have:

Lemma

If , then .

Let , using this simple lemma, and integrate over , there exists a constant that

where and is a constant. This inequality is just an analog of the previous Grönwall’s inequality, which has zero spectral radius. Thus, we must have , which proves the uniqueness.

Remark

The general uniqueness can be proved in a different flavor, but it requires slightly more restrictive dependence of on . For scatter-free medium plus a cone-beam source, it only needs Lipschitz continuity.

🌀 Isotropic Scattering

Once the scattering is present, the uniqueness is slightly more challenging (there is an alternative way to prove this), assume that is a positive constant, then we can represent the solution by (let )

Similar to the previous derivation, we let , then integrate the above equation over the whole , it shows (using the lemma, polar coordinate transformation, maximum principle)

where . We make the following observation.

Commutativity Lemma

Let and be operators,

Then commutes with .

A quick proof for this property. Let be extended to with zero outside , then we can write

and we can derive similarly:

That implies the following relation.

Then we have the concluding theorem by noticing that (why?).

Uniqueness Theorem

If , then the cone-beam source permits a unique solution (if exists).

📔 Notes

  • This uniqueness result simply serves as an exercise utilizing the Grönwall’s inequality. This result is only feasible for weak scattering medium.
  • The commutativity is necessary to estimate the spectral radius, a slightly more general condition is mentioned in (Zima, 1993).

References

🐻  Zima, M. 1993. A Theorem on the Spectral Radius of the Sum of Two Operators and Its Application. Bulletin of the Australian Mathematical Society 48(3), 427–434.