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In an open domain in the plane
(xU[itex]_{x}[/itex]-yU[itex]_{y}[/itex]-U)/U =
(xV[itex]_{x}[/itex] - y V[itex]_{y}[/itex]+V)/V
(xU[itex]_{x}[/itex]-yU[itex]_{y}[/itex]-U)/U =
(xV[itex]_{x}[/itex] - y V[itex]_{y}[/itex]+V)/V
TylerH said:I'd like to know the answer myself. Does [itex]\frac{xU_x}{U}-\frac{xV_x}{V}=\frac{yU_y}{U}-\frac{yV_y}{V}[/itex] make it any easier? I've only dabbled in PDEs myself, but that seems like a separation of variables problem, when rephrased like that.
EDIT: Mathematica gives an error saying the answer is indeterminate, because there are more dependent variables than equations.
lavinia said:In an open domain in the plane
(xU[itex]_{x}[/itex]-yU[itex]_{y}[/itex]-U)/U =
(xV[itex]_{x}[/itex] - y V[itex]_{y}[/itex]+V)/V
A two variable PDE (partial differential equation) is a mathematical equation that involves two independent variables and their partial derivatives. It is used to model various physical phenomena, such as heat transfer, fluid dynamics, and electromagnetic fields.
An open domain plane is a region in the Cartesian coordinate system that does not include its boundary. This means that the equations describing the phenomena in this region do not depend on the values at the boundary, making it an important concept in the study of PDEs.
Two variable PDEs in open domain plane have many applications in physics, engineering, and other scientific fields. They are used to model diffusion phenomena, electric and magnetic fields, wave propagation, and many other physical processes.
There are several methods for solving two variable PDEs in open domain plane, including separation of variables, method of characteristics, finite difference method, and numerical methods like finite element method and finite volume method. The choice of method depends on the specific problem and its boundary conditions.
Solving two variable PDEs in open domain plane can be challenging due to the complexity of the equations and the need for advanced mathematical techniques. It also requires careful consideration of the boundary conditions and the choice of appropriate numerical methods. In addition, the accuracy and stability of the solutions must be carefully evaluated.