On this page you can find information about the following topics.
My current research interests are:
Inhomogeneous wave equationsThe nonlinear wave equation utt=uxx+V(u) can have (travelling wave) front or solitary wave solutions. If the spatial medium is not homogeneous, then the nonlinearity will depend on x too. For example, one can look at a potential with V(u)=V1(u) for |x|>L and V(u)=V2(u) for |x|<L. This can lead to a plethora of stationary fronts or solitary waves if the length L of the inhomogeneity is considered as a parameter. Changes in the stability of those waves can be linked to extremal points of the length parameter as function of the "energy".
Applications can be found in Josephson junctions but also in models for DNA/RNAP interaction.
Mathematical models in pharmacology
Attacting slow manifolds in pharmacokinetics-pharmacodynamics (PK/PD) models play an important role in getting a better understanding of interactions of drugs and targets. We look at TMDD and MM models.
Multi-symplectic structures and solitons
Many Hamiltonian wave equations can be written as a multi-symplectic system. This means that the temporal and all spatial variables have a symplectic structure associated with it. This additional structure has several advantages. To analyse the stability of solitary waves or dimension breaking, one can use the socalled symplectic Evans matrix.
Effects of perturbations on Hamiltonian systems with symmetry
Hamiltonian systems occur often in modelling. They are dynamical
systems of ordinary differential equations or partial differential
equations with some extra structure. In physical models an example of a
Hamiltonian system is a system which conserves the energy, like an
undamped pendulum or a non-viscous fluid.
Dissipation versus Hamiltonian
Intuitively most people consider Hamiltonian systems to be the opposite of dissipative systems. The motivation is that a Hamiltonian system conserves quantities and a dissipative system makes quantities decay. However, if one looks at a system which can be seen as partly Hamiltonian and partly dissipative, then this picture is not so clear anymore. I am working to find criteria to split a system into a Hamiltonian part and a dissipative part.
There are nice theories and computer programs related to the continuation and bifurcation of one solution of a differential equation. However, doing a similar thing for invariant manifolds, is much less developed. So I want to look at the question when and how can we (numerically) continue manifolds and which kinds of bifurcations can we detect?
My PhD thesis deals with coherent structures, called relative equilibria, in Hamiltonian systems with a non-Hamiltonian perturbation, like dissipation and/or forcing. If you like to read the summary of this thesis, click here.
G.Derks@surrey.ac.uk Last modified: Wed Jun 15 15:46:43 BST 2016