A system of coupled partial differential equations (PDEs) involves two or more PDEs that are interconnected, meaning the equations depend on one another through shared variables or boundary conditions. These systems are common in many fields of physics, engineering, and applied mathematics, where complex phenomena require modeling interactions between multiple components or physical quantities.
$\begin{cases} \frac{\partial u}{\partial t} = \mathcal{L}_1(u, v, x, t), \\ \frac{\partial v}{\partial t} = \mathcal{L}_2(u, v, x, t), \end{cases}$
where $\mathcal{L}_1$ and $\mathcal{L}_2$ are differential operators involving derivatives with respect to space (and possibly time) and functions $u$ and $v$ .
These describe processes where substances interact and diffuse through space. The general form is:
$\begin{cases} \frac{\partial u}{\partial t} = D_u \nabla^2 u + f(u, v), \\ \frac{\partial v}{\partial t} = D_v \nabla^2 v + g(u, v), \end{cases}$
where:
These systems model various phenomena, including chemical reactions, biological pattern formation (e.g., the Turing pattern), and ecological models.
In fluid dynamics, the Navier-Stokes equations coupled with the continuity equation form a system of PDEs describing the motion of a fluid:
$\begin{cases} \frac{\partial \mathbf{u}}{\partial t} + (\mathbf{u} \cdot \nabla) \mathbf{u} = -\nabla p + \nu \nabla^2 \mathbf{u} + \mathbf{f}, \\ \nabla \cdot \mathbf{u} = 0, \end{cases}$
where:
These equations are fundamental for modeling incompressible fluid flow.
The time-dependent Maxwell's equations couple the electric field $\mathbf{E}$ and the magnetic field $\mathbf{B}$ :
$\begin{cases} \frac{\partial \mathbf{E}}{\partial t} = c^2 \nabla \times \mathbf{B} - \frac{\mathbf{J}}{\epsilon_0}, \\ \frac{\partial \mathbf{B}}{\partial t} = -\nabla \times \mathbf{E}, \end{cases}$
where $c$ is the speed of light, $\epsilon_0$ is the permittivity of free space, and $\mathbf{J}$ is the current density.
Solving coupled PDEs can be complex and often requires specialized numerical or analytical methods: