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OllyRutts
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I am having trouble determining what the general form of Poisson's equation would be between
and
Can they both be called the general form?
and
Can they both be called the general form?
BvU said:The 'general form' has not been trademarked or anything. One could equally well claim that ##\ \Delta\phi = f \ ## is the general form.
I do wonder where you got this form from: I find ##\varepsilon\varepsilon_0## very ugly (I am used to ## \varepsilon=\varepsilon_r\varepsilon_0## ) and I don't know where the ##f## in your first expression comes from.
Poisson's equation is a mathematical equation that describes the distribution of electrical potential in a given area. It is commonly used in physics and engineering to model various phenomena, such as electrostatics and heat transfer.
There are two general forms of Poisson's equation: the differential form and the integral form. The differential form is written as ∇²V = ρ/ε₀, where ∇² is the Laplace operator, V is the electrical potential, ρ is the charge density, and ε₀ is the permittivity of free space. The integral form is written as ∫∫∫ ρ/ε₀ dV = ∫∫∫ ∇²V dV, where the integrals are taken over the volume of interest.
Laplace's equation is a special case of Poisson's equation, where the charge density ρ is equal to zero. This means that Laplace's equation describes the distribution of electrical potential in a given area in the absence of any charges.
Poisson's equation has many applications in physics and engineering. It is commonly used in electrostatics, where it describes the distribution of electrical potential in conductors and insulators. It is also used in heat transfer to model the distribution of temperature in materials. Additionally, Poisson's equation has applications in fluid mechanics, electromagnetism, and quantum mechanics.
Poisson's equation can be solved analytically or numerically. Analytical solutions involve using mathematical techniques, such as separation of variables or the method of images, to find an exact solution. Numerical solutions involve using computational methods, such as finite difference or finite element methods, to approximate the solution. The choice of solution method depends on the complexity and boundary conditions of the problem.