HOME

TheInfoList



OR:

In
mathematics Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, Green's identities are a set of three identities in
vector calculus Vector calculus or vector analysis is a branch of mathematics concerned with the differentiation and integration of vector fields, primarily in three-dimensional Euclidean space, \mathbb^3. The term ''vector calculus'' is sometimes used as a ...
relating the bulk with the boundary of a region on which differential operators act. They are named after the mathematician George Green, who discovered
Green's theorem In vector calculus, Green's theorem relates a line integral around a simple closed curve to a double integral over the plane region (surface in \R^2) bounded by . It is the two-dimensional special case of Stokes' theorem (surface in \R^3) ...
.


Green's first identity

This identity is derived from the
divergence theorem In vector calculus, the divergence theorem, also known as Gauss's theorem or Ostrogradsky's theorem, reprinted in is a theorem relating the '' flux'' of a vector field through a closed surface to the ''divergence'' of the field in the volume ...
applied to the vector field while using an extension of the
product rule In calculus, the product rule (or Leibniz rule or Leibniz product rule) is a formula used to find the derivatives of products of two or more functions. For two functions, it may be stated in Lagrange's notation as (u \cdot v)' = u ' \cdot v ...
that : Let and be scalar functions defined on some region , and suppose that is twice
continuously differentiable In mathematics, a differentiable function of one Real number, real variable is a Function (mathematics), function whose derivative exists at each point in its Domain of a function, domain. In other words, the Graph of a function, graph of a differ ...
, and is once continuously differentiable. Using the product rule above, but letting , integrate over . Then \int_U \left( \psi \, \Delta \varphi + \nabla \psi \cdot \nabla \varphi \right)\, dV = \oint_ \psi \left( \nabla \varphi \cdot \mathbf \right)\, dS=\oint_\psi\,\nabla\varphi\cdot d\mathbf where is the
Laplace operator In mathematics, the Laplace operator or Laplacian is a differential operator given by the divergence of the gradient of a Scalar field, scalar function on Euclidean space. It is usually denoted by the symbols \nabla\cdot\nabla, \nabla^2 (where \ ...
, is the boundary of region , is the outward pointing unit normal to the surface element and is the oriented surface element. This theorem is a special case of the
divergence theorem In vector calculus, the divergence theorem, also known as Gauss's theorem or Ostrogradsky's theorem, reprinted in is a theorem relating the '' flux'' of a vector field through a closed surface to the ''divergence'' of the field in the volume ...
, and is essentially the higher dimensional equivalent of
integration by parts In calculus, and more generally in mathematical analysis, integration by parts or partial integration is a process that finds the integral of a product of functions in terms of the integral of the product of their derivative and antiderivati ...
with and the gradient of replacing and . Note that Green's first identity above is a special case of the more general identity derived from the divergence theorem by substituting , \int_U \left( \psi \, \nabla \cdot \mathbf + \mathbf \cdot \nabla \psi\right)\, dV = \oint_ \psi \left( \mathbf \cdot \mathbf \right)\, dS=\oint_\psi\mathbf\cdot d\mathbf ~.


Green's second identity

If and are both twice continuously differentiable on , and is once continuously differentiable, one may choose to obtain \int_U \left \psi \, \nabla \cdot \left( \varepsilon \, \nabla \varphi \right) - \varphi \, \nabla \cdot \left( \varepsilon \, \nabla \psi \right) \right, dV = \oint_ \varepsilon \left( \psi - \varphi \right)\, dS. For the special case of all across , then, \int_U \left( \psi \, \nabla^2 \varphi - \varphi \, \nabla^2 \psi\right)\, dV = \oint_ \left( \psi - \varphi \right)\, dS. In the equation above, is the
directional derivative In multivariable calculus, the directional derivative measures the rate at which a function changes in a particular direction at a given point. The directional derivative of a multivariable differentiable (scalar) function along a given vect ...
of in the direction of the outward pointing surface normal of the surface element , = \nabla \varphi \cdot \mathbf = \nabla_\mathbf\varphi. Explicitly incorporating this definition in the Green's second identity with results in \int_U \left( \psi \, \nabla^2 \varphi - \varphi \, \nabla^2 \psi\right)\, dV = \oint_ \left( \psi \nabla \varphi - \varphi \nabla \psi\right)\cdot d\mathbf. In particular, this demonstrates that the Laplacian is a
self-adjoint operator In mathematics, a self-adjoint operator on a complex vector space ''V'' with inner product \langle\cdot,\cdot\rangle is a linear map ''A'' (from ''V'' to itself) that is its own adjoint. That is, \langle Ax,y \rangle = \langle x,Ay \rangle for al ...
in the inner product for functions vanishing on the boundary so that the right hand side of the above identity is zero.


Green's third identity

Green's third identity derives from the second identity by choosing , where the
Green's function In mathematics, a Green's function (or Green function) is the impulse response of an inhomogeneous linear differential operator defined on a domain with specified initial conditions or boundary conditions. This means that if L is a linear dif ...
is taken to be a
fundamental solution In mathematics, a fundamental solution for a linear partial differential operator is a formulation in the language of distribution theory of the older idea of a Green's function (although unlike Green's functions, fundamental solutions do not ...
of the
Laplace operator In mathematics, the Laplace operator or Laplacian is a differential operator given by the divergence of the gradient of a Scalar field, scalar function on Euclidean space. It is usually denoted by the symbols \nabla\cdot\nabla, \nabla^2 (where \ ...
, ∆. This means that: \Delta G(\mathbf,\boldsymbol) = \delta(\mathbf - \boldsymbol) ~. For example, in , a solution has the form G(\mathbf,\boldsymbol)= \frac ~. Green's third identity states that if is a function that is twice continuously differentiable on , then \int_U \left G(\mathbf,\boldsymbol) \, \Delta \psi(\mathbf) \right\, dV_\mathbf - \psi(\boldsymbol)= \oint_ \left G(\mathbf,\boldsymbol) (\mathbf) - \psi(\mathbf) \right, dS_\mathbf. A simplification arises if is itself a
harmonic function In mathematics, mathematical physics and the theory of stochastic processes, a harmonic function is a twice continuously differentiable function f\colon U \to \mathbb R, where is an open subset of that satisfies Laplace's equation, that i ...
, i.e. a solution to the Laplace equation. Then and the identity simplifies to \psi(\boldsymbol)= \oint_ \left psi(\mathbf) \frac - G(\mathbf,\boldsymbol) \frac (\mathbf) \right, dS_\mathbf. The second term in the integral above can be eliminated if is chosen to be the
Green's function In mathematics, a Green's function (or Green function) is the impulse response of an inhomogeneous linear differential operator defined on a domain with specified initial conditions or boundary conditions. This means that if L is a linear dif ...
that vanishes on the boundary of (
Dirichlet boundary condition In mathematics, the Dirichlet boundary condition is imposed on an ordinary or partial differential equation, such that the values that the solution takes along the boundary of the domain are fixed. The question of finding solutions to such equat ...
), \psi(\boldsymbol) = \oint_ \psi(\mathbf) \frac \, dS_\mathbf ~. This form is used to construct solutions to Dirichlet boundary condition problems. Solutions for
Neumann boundary condition In mathematics, the Neumann (or second-type) boundary condition is a type of boundary condition, named after Carl Neumann. When imposed on an ordinary or a partial differential equation, the condition specifies the values of the derivative app ...
problems may also be simplified, though the
Divergence theorem In vector calculus, the divergence theorem, also known as Gauss's theorem or Ostrogradsky's theorem, reprinted in is a theorem relating the '' flux'' of a vector field through a closed surface to the ''divergence'' of the field in the volume ...
applied to the differential equation defining Green's functions shows that the Green's function cannot integrate to zero on the boundary, and hence cannot vanish on the boundary. See Green's functions for the Laplacian or for a detailed argument, with an alternative. For the Neumann boundary condition, an appropriate choice of Green's function can be made to simplify the integral. First note \int_U \Delta G(\mathbf,\boldsymbol) dV_y = 1 = \oint_ \frac dS_y and so \frac cannot vanish on surface S. A convenient choice is \frac = 1/\mathcal, where \mathcal is the area of the surface S. The integral can be simplified to \psi(\boldsymbol)= \langle\psi\rangle_S- \oint_ G(\mathbf,\boldsymbol) \frac (\mathbf) \, dS_\mathbf. where \langle\psi\rangle_S = \frac \oint_ \psi(\mathbf) dS_y is the average value of \psi on surface S. Furthermore, if \psi is a solution to the Laplace's equation, divergence theorem implies it must satisfy \oint_ \frac (\mathbf)dS_y = \int_U \Delta \psi(\mathbf)dV_y = 0. This is a necessary condition for the Neumann boundary problem to have a solution. It can be further verified that the above identity also applies when is a solution to the
Helmholtz equation In mathematics, the Helmholtz equation is the eigenvalue problem for the Laplace operator. It corresponds to the elliptic partial differential equation: \nabla^2 f = -k^2 f, where is the Laplace operator, is the eigenvalue, and is the (eigen)fun ...
or
wave equation The wave equation is a second-order linear partial differential equation for the description of waves or standing wave fields such as mechanical waves (e.g. water waves, sound waves and seismic waves) or electromagnetic waves (including light ...
and is the appropriate Green's function. In such a context, this identity is the mathematical expression of the Huygens principle, and leads to Kirchhoff's diffraction formula and other approximations.


On manifolds

Green's identities hold on a Riemannian manifold. In this setting, the first two are \begin \int_M u \,\Delta v\, dV + \int_M \langle\nabla u, \nabla v\rangle\, dV &= \int_ u N v \, d\widetilde \\ \int_M \left (u \, \Delta v - v \, \Delta u \right )\, dV &= \int_(u N v - v N u) \, d \widetilde \end where and are smooth real-valued functions on , is the volume form compatible with the metric, d\widetilde is the induced volume form on the boundary of , is the outward oriented unit vector field normal to the boundary, and is the Laplacian.


Green's vector identities


First vector identity

Using the vector Laplacian identity and the divergence identity, expand \mathbf\cdot \Delta \mathbf \mathbf\cdot \Delta \mathbf = \nabla \cdot (\mathbf\times \nabla \times \mathbf) - (\nabla \times \mathbf)\cdot (\nabla \times \mathbf) +\mathbf\cdot nabla(\nabla \cdot \mathbf) The last term can be simplified by expanding components \begin \mathbf\cdot nabla(\nabla \cdot \mathbf)&= P^i nabla_i(\nabla_j Q^j)\ &= \nabla_i ^i(\nabla_j Q^j)(\nabla_i P^i)(\nabla_j Q^j)\\ &= \nabla\cdot mathbf(\nabla \cdot \mathbf)- (\nabla \cdot \mathbf)(\nabla \cdot \mathbf) \end The identity can be rewritten as \mathbf\cdot \Delta \mathbf = \nabla \cdot (\mathbf\times \nabla \times \mathbf) - (\nabla \times \mathbf)\cdot (\nabla \times \mathbf) + \nabla\cdot mathbf(\nabla \cdot \mathbf)- (\nabla \cdot \mathbf)(\nabla \cdot \mathbf) In integral form, this is \oint_ \mathbf\cdot mathbf\times \nabla \times \mathbf + \mathbf(\nabla \cdot \mathbf) dS = \int_U \mathbf\cdot \Delta \mathbf + (\nabla \times \mathbf)\cdot (\nabla \times \mathbf) + (\nabla \cdot \mathbf)(\nabla \cdot \mathbf) dV


Second vector identity

Green's second identity establishes a relationship between second and (the divergence of) first order derivatives of two scalar functions. In differential form p_m \, \Delta q_m-q_m \, \Delta p_m = \nabla\cdot\left(p_m\nabla q_m-q_m \, \nabla p_m\right), where and are two arbitrary twice continuously differentiable scalar fields. This identity is of great importance in physics because continuity equations can thus be established for scalar fields such as mass or energy. In vector diffraction theory, two versions of Green's second identity are introduced. One variant invokes the divergence of a cross product and states a relationship in terms of the curl-curl of the field \mathbf\cdot\left(\nabla\times\nabla\times\mathbf\right)-\mathbf\cdot\left(\nabla\times\nabla\times \mathbf\right) = \nabla\cdot\left(\mathbf\times\left(\nabla\times\mathbf\right)-\mathbf\times\left(\nabla\times\mathbf\right)\right). This equation can be written in terms of the Laplacians, \mathbf\cdot\Delta \mathbf-\mathbf\cdot\Delta \mathbf + \mathbf \cdot \left nabla\left(\nabla\cdot\mathbf\right)\right\mathbf \cdot \left \nabla \left(\nabla \cdot \mathbf\right)\right= \nabla \cdot \left( \mathbf\times \left(\nabla\times\mathbf\right) - \mathbf\times\left(\nabla\times\mathbf\right)\right). However, the terms \mathbf\cdot\left nabla\left(\nabla\cdot\mathbf\right)\right\mathbf \cdot \left nabla\left(\nabla\cdot\mathbf\right)\right could not be readily written in terms of a divergence. The other approach introduces bi-vectors, this formulation requires a dyadic Green function. The derivation presented here avoids these problems. Consider that the scalar fields in Green's second identity are the Cartesian components of vector fields, i.e., \mathbf=\sum_m p_\hat_m, \qquad \mathbf=\sum_m q_m \hat_m. Summing up the equation for each component, we obtain \sum_m \left _m\Delta q_m - q_m\Delta p_m\right\sum_m \nabla \cdot \left( p_m \nabla q_m-q_m\nabla p_m \right). The LHS according to the definition of the
dot product In mathematics, the dot product or scalar productThe term ''scalar product'' means literally "product with a Scalar (mathematics), scalar as a result". It is also used for other symmetric bilinear forms, for example in a pseudo-Euclidean space. N ...
may be written in vector form as \sum_m \left _m \, \Delta q_m-q_m \, \Delta p_m\right= \mathbf \cdot \Delta\mathbf-\mathbf\cdot\Delta\mathbf. The RHS is a bit more awkward to express in terms of vector operators. Due to the distributivity of the divergence operator over addition, the sum of the divergence is equal to the divergence of the sum, i.e., \sum_m \nabla\cdot\left(p_m \nabla q_m-q_m\nabla p_m\right)= \nabla \cdot \left(\sum_m p_m \nabla q_m - \sum_m q_m \nabla p_m \right). Recall the vector identity for the gradient of a dot product, \nabla \left(\mathbf \cdot \mathbf \right) = \left( \mathbf \cdot \nabla \right) \mathbf + \left( \mathbf \cdot \nabla \right) \mathbf + \mathbf\times \left(\nabla\times\mathbf\right)+\mathbf\times \left(\nabla\times\mathbf\right), which, written out in vector components is given by \nabla\left(\mathbf\cdot\mathbf\right)=\nabla\sum_m p_m q_m = \sum_m p_m \nabla q_m + \sum_m q_m \nabla p_m. This result is similar to what we wish to evince in vector terms 'except' for the minus sign. Since the differential operators in each term act either over one vector (say p_m’s) or the other (q_m’s), the contribution to each term must be \sum_m p_m \nabla q_m = \left(\mathbf \cdot \nabla\right) \mathbf + \mathbf \times \left(\nabla \times \mathbf\right), \sum_m q_m \nabla p_m = \left(\mathbf \cdot \nabla\right) \mathbf + \mathbf \times \left(\nabla \times \mathbf\right). These results can be rigorously proven to be correct throug
evaluation of the vector components
Therefore, the RHS can be written in vector form as \sum_m p_m \nabla q_m - \sum_m q_m \nabla p_m = \left(\mathbf \cdot \nabla\right) \mathbf + \mathbf\times \left(\nabla\times\mathbf\right)-\left( \mathbf \cdot \nabla\right) \mathbf - \mathbf\times \left(\nabla\times\mathbf\right). Putting together these two results, a result analogous to Green's theorem for scalar fields is obtained,
Theorem for vector fields: \color\mathbf \cdot \Delta \mathbf - \mathbf \cdot \Delta \mathbf = \left \left(\mathbf \cdot \nabla\right) \mathbf + \mathbf\times \left(\nabla\times\mathbf\right)-\left( \mathbf \cdot \nabla\right) \mathbf - \mathbf\times \left(\nabla\times\mathbf\right)\right The curl of a cross product can be written as \nabla\times\left(\mathbf\times\mathbf\right)=\left(\mathbf\cdot\nabla\right)\mathbf-\left(\mathbf\cdot\nabla\right)\mathbf+\mathbf\left(\nabla\cdot\mathbf\right)-\mathbf\left(\nabla\cdot\mathbf\right); Green's vector identity can then be rewritten as \mathbf\cdot\Delta \mathbf-\mathbf\cdot\Delta \mathbf= \nabla \cdot \left[\mathbf \left(\nabla\cdot\mathbf\right)-\mathbf \left( \nabla \cdot \mathbf\right)-\nabla \times \left( \mathbf \times \mathbf \right) +\mathbf\times\left(\nabla\times\mathbf\right) - \mathbf\times \left(\nabla\times\mathbf\right)\right]. Since the divergence of a curl is zero, the third term vanishes to yield Green's second vector identity: \color\mathbf\cdot\Delta\mathbf-\mathbf \cdot \Delta \mathbf =\nabla\cdot\left mathbf\left(\nabla\cdot\mathbf\right)-\mathbf \left( \nabla \cdot \mathbf \right) + \mathbf\times \left(\nabla\times\mathbf\right) - \mathbf\times\left(\nabla\times\mathbf\right)\right With a similar procedure, the Laplacian of the dot product can be expressed in terms of the Laplacians of the factors \Delta \left( \mathbf \cdot \mathbf \right) = \mathbf \cdot \Delta \mathbf-\mathbf\cdot\Delta \mathbf + 2\nabla \cdot \left \left( \mathbf \cdot \nabla \right) \mathbf + \mathbf \times \nabla \times \mathbf \right As a corollary, the awkward terms can now be written in terms of a divergence by comparison with the vector Green equation, \mathbf\cdot \left \nabla \left(\nabla \cdot \mathbf \right) \right- \mathbf \cdot \left \nabla \left( \nabla \cdot \mathbf \right) \right= \nabla \cdot\left mathbf\left(\nabla\cdot\mathbf\right)-\mathbf \left( \nabla \cdot \mathbf \right) \right This result can be verified by expanding the divergence of a scalar times a vector on the RHS.


Third vector identity

The third vector identity can be derived using the free space scalar Green's function. Take the scalar Green's function definition \Delta G(\mathbf,\boldsymbol) =\delta(\mathbf-\boldsymbol), multiply by \mathbf and subtract G\nabla_i \nabla^i \mathbf. \nabla_i (\mathbf \nabla^i G - G\nabla^i \mathbf) =\mathbf \delta(\mathbf-\boldsymbol) - G \Delta \mathbf Integrate over volume U and use divergence theorem. \oint_\bigg(\mathbf(\mathbf) \frac - G(\mathbf,\boldsymbol)\frac\bigg) dS_y +\int_U G(\mathbf,\boldsymbol) \Delta \mathbf(\mathbf) dV_y = \left\{\begin{matrix} \mathbf{P}(\boldsymbol{\eta}) & \text{for } ~\boldsymbol{\eta}\in U \\ 0 & \text{for } ~\boldsymbol{\eta}\not\in U \\ \end{matrix}\right.


See also

*
Green's function In mathematics, a Green's function (or Green function) is the impulse response of an inhomogeneous linear differential operator defined on a domain with specified initial conditions or boundary conditions. This means that if L is a linear dif ...
* Kirchhoff integral theorem * Lagrange's identity (boundary value problem)


References


External links

*

Green's Identities at Wolfram MathWorld {{DEFAULTSORT:Green's Identities Vector calculus Mathematical identities