Proofs Chapter 5: Second-Order Differential Identities
Laplacian, curl-of-grad, div-of-curl, and product rules
5. Second-Order Differential Identities
This chapter proves vector calculus identities (36)-(44): the definition of the Laplacian, the fundamental second-order identities (curl of gradient = 0, divergence of curl = 0, curl of curl), and the Laplacian product rules. The central tools are Schwarz's theorem on the symmetry of mixed partial derivatives and the antisymmetry of the Levi-Civita symbol $\varepsilon_{ijk}$ together with the $\varepsilon$-$\delta$ identity.
5.1 Laplacian
(36) Definition of the Laplacian
Proof
By the definition of gradient, the $i$-th component of $\nabla f$ is
\begin{equation}[\nabla f]_i = \dfrac{\partial f}{\partial x_i} \label{eq:5-36-1}\end{equation}
By the definition of divergence, for a vector field $\mathbf{V}$,
\begin{equation}\nabla \cdot \mathbf{V} = \displaystyle\sum_{i} \dfrac{\partial V_i}{\partial x_i} \label{eq:5-36-2}\end{equation}
Substituting the vector field $\nabla f$ from $\eqref{eq:5-36-1}$ into $\eqref{eq:5-36-2}$,
\begin{equation}\nabla \cdot (\nabla f) = \displaystyle\sum_{i} \dfrac{\partial}{\partial x_i}\!\left(\dfrac{\partial f}{\partial x_i}\right) = \displaystyle\sum_{i} \dfrac{\partial^2 f}{\partial x_i^2} \label{eq:5-36-3}\end{equation}
The operator $\displaystyle\sum_i \dfrac{\partial^2}{\partial x_i^2}$ on the right is called the Laplacian and is denoted by $\nabla^2$ or $\Delta$.
\begin{equation}\nabla \cdot (\nabla f) = \nabla^2 f = \Delta f \label{eq:5-36-4}\end{equation}
(37) Cartesian component form of the Laplacian
Proof
Take the dimension-independent expression from (36),
\begin{equation}\nabla^2 f = \displaystyle\sum_{i} \dfrac{\partial^2 f}{\partial x_i^2} \label{eq:5-37-1}\end{equation}
and substitute $(x_1, x_2, x_3) = (x, y, z)$.
\begin{equation}\nabla^2 f = \dfrac{\partial^2 f}{\partial x^2} + \dfrac{\partial^2 f}{\partial y^2} + \dfrac{\partial^2 f}{\partial z^2} \label{eq:5-37-2}\end{equation}
5.2 Fundamental Identities
(38) Curl of a gradient is zero
Proof
Write the $i$-th component of the curl with the Levi-Civita symbol $\varepsilon_{ijk}$:
\begin{equation}[\nabla \times \mathbf{V}]_i = \varepsilon_{ijk}\,\dfrac{\partial V_k}{\partial x_j} \label{eq:5-38-1}\end{equation}
Set $\mathbf{V} = \nabla f$, i.e. $V_k = \dfrac{\partial f}{\partial x_k}$:
\begin{equation}[\nabla \times (\nabla f)]_i = \varepsilon_{ijk}\,\dfrac{\partial}{\partial x_j}\!\left(\dfrac{\partial f}{\partial x_k}\right) = \varepsilon_{ijk}\,\dfrac{\partial^2 f}{\partial x_j \partial x_k} \label{eq:5-38-2}\end{equation}
Since $f \in C^2$, Schwarz's theorem (equality of mixed partials) gives
\begin{equation}\dfrac{\partial^2 f}{\partial x_j \partial x_k} = \dfrac{\partial^2 f}{\partial x_k \partial x_j} \label{eq:5-38-3}\end{equation}
so the second-derivative tensor is symmetric in $(j, k)$. The Levi-Civita symbol is antisymmetric in $(j, k)$:
\begin{equation}\varepsilon_{ijk} = -\varepsilon_{ikj} \label{eq:5-38-4}\end{equation}
The contraction of a symmetric tensor $S_{jk} = S_{kj}$ with an antisymmetric tensor $A_{jk} = -A_{kj}$ vanishes. Pairing the $(j, k)$ and $(k, j)$ terms in the sum,
\begin{equation}\varepsilon_{ijk}\,\dfrac{\partial^2 f}{\partial x_j \partial x_k} = \dfrac{1}{2}\!\left(\varepsilon_{ijk} + \varepsilon_{ikj}\right)\dfrac{\partial^2 f}{\partial x_j \partial x_k} = 0 \label{eq:5-38-5}\end{equation}
Every component vanishes, so
\begin{equation}\nabla \times (\nabla f) = \mathbf{0} \label{eq:5-38-6}\end{equation}
(39) Divergence of a curl is zero
Proof
The $i$-th component of $\nabla \times \mathbf{A}$ is
\begin{equation}[\nabla \times \mathbf{A}]_i = \varepsilon_{ijk}\,\dfrac{\partial A_k}{\partial x_j} \label{eq:5-39-1}\end{equation}
Apply the definition of divergence $\nabla \cdot \mathbf{V} = \dfrac{\partial V_i}{\partial x_i}$ (summation convention).
\begin{equation}\nabla \cdot (\nabla \times \mathbf{A}) = \dfrac{\partial}{\partial x_i}\!\left(\varepsilon_{ijk}\,\dfrac{\partial A_k}{\partial x_j}\right) = \varepsilon_{ijk}\,\dfrac{\partial^2 A_k}{\partial x_i \partial x_j} \label{eq:5-39-2}\end{equation}
Since $\mathbf{A} \in C^2$, Schwarz's theorem gives
\begin{equation}\dfrac{\partial^2 A_k}{\partial x_i \partial x_j} = \dfrac{\partial^2 A_k}{\partial x_j \partial x_i} \label{eq:5-39-3}\end{equation}
so the second-derivative tensor is symmetric in $(i, j)$. The Levi-Civita symbol is antisymmetric in $(i, j)$ ($\varepsilon_{ijk} = -\varepsilon_{jik}$). By the same "symmetric × antisymmetric = 0" argument as in (38),
\begin{equation}\varepsilon_{ijk}\,\dfrac{\partial^2 A_k}{\partial x_i \partial x_j} = 0 \label{eq:5-39-4}\end{equation}
Therefore
\begin{equation}\nabla \cdot (\nabla \times \mathbf{A}) = 0 \label{eq:5-39-5}\end{equation}
(40) Curl of a curl
Proof
Write the $i$-th component of the double curl in components:
\begin{equation}[\nabla \times (\nabla \times \mathbf{A})]_i = \varepsilon_{ijk}\,\dfrac{\partial}{\partial x_j}\,[\nabla \times \mathbf{A}]_k \label{eq:5-40-1}\end{equation}
Expand the inner curl with another Levi-Civita symbol:
\begin{equation}[\nabla \times \mathbf{A}]_k = \varepsilon_{klm}\,\dfrac{\partial A_m}{\partial x_l} \label{eq:5-40-2}\end{equation}
Substitute $\eqref{eq:5-40-2}$ into $\eqref{eq:5-40-1}$:
\begin{equation}[\nabla \times (\nabla \times \mathbf{A})]_i = \varepsilon_{ijk}\,\varepsilon_{klm}\,\dfrac{\partial^2 A_m}{\partial x_j \partial x_l} \label{eq:5-40-3}\end{equation}
Apply the contraction identity ($\varepsilon$-$\delta$ identity):
\begin{equation}\varepsilon_{ijk}\,\varepsilon_{klm} = \varepsilon_{kij}\,\varepsilon_{klm} = \delta_{il}\,\delta_{jm} - \delta_{im}\,\delta_{jl} \label{eq:5-40-4}\end{equation}
Substitute $\eqref{eq:5-40-4}$ into $\eqref{eq:5-40-3}$ and contract with the Kronecker deltas:
\begin{equation}[\nabla \times (\nabla \times \mathbf{A})]_i = \delta_{il}\,\delta_{jm}\,\dfrac{\partial^2 A_m}{\partial x_j \partial x_l} - \delta_{im}\,\delta_{jl}\,\dfrac{\partial^2 A_m}{\partial x_j \partial x_l} \label{eq:5-40-5}\end{equation}
The first term sets $l = i$, $m = j$; the second sets $m = i$, $l = j$.
\begin{equation}[\nabla \times (\nabla \times \mathbf{A})]_i = \dfrac{\partial^2 A_j}{\partial x_j \partial x_i} - \dfrac{\partial^2 A_i}{\partial x_j \partial x_j} \label{eq:5-40-6}\end{equation}
By Schwarz's theorem the order of partial derivatives in the first term may be exchanged, giving
\begin{equation}\dfrac{\partial^2 A_j}{\partial x_j \partial x_i} = \dfrac{\partial}{\partial x_i}\!\left(\dfrac{\partial A_j}{\partial x_j}\right) = \dfrac{\partial}{\partial x_i}(\nabla \cdot \mathbf{A}) = [\nabla(\nabla \cdot \mathbf{A})]_i \label{eq:5-40-7}\end{equation}
The second term is the component of the (Cartesian) Laplacian:
\begin{equation}\dfrac{\partial^2 A_i}{\partial x_j \partial x_j} = \displaystyle\sum_{j} \dfrac{\partial^2 A_i}{\partial x_j^2} = \nabla^2 A_i = [\nabla^2 \mathbf{A}]_i \label{eq:5-40-8}\end{equation}
Substituting $\eqref{eq:5-40-7}$ and $\eqref{eq:5-40-8}$ into $\eqref{eq:5-40-6}$:
\begin{equation}[\nabla \times (\nabla \times \mathbf{A})]_i = [\nabla(\nabla \cdot \mathbf{A})]_i - [\nabla^2 \mathbf{A}]_i \label{eq:5-40-9}\end{equation}
True for every $i$, so
\begin{equation}\nabla \times (\nabla \times \mathbf{A}) = \nabla(\nabla \cdot \mathbf{A}) - \nabla^2 \mathbf{A} \label{eq:5-40-10}\end{equation}
5.3 Laplacian Product Rules
(41) Laplacian of a scalar product
Proof
By (36) the Laplacian is the divergence of the gradient:
\begin{equation}\nabla^2(fg) = \nabla \cdot \bigl(\nabla(fg)\bigr) \label{eq:5-41-1}\end{equation}
The product rule for the gradient (identity (15), Leibniz rule) gives
\begin{equation}\nabla(fg) = f\,\nabla g + g\,\nabla f \label{eq:5-41-2}\end{equation}
Substitute $\eqref{eq:5-41-2}$ into $\eqref{eq:5-41-1}$:
\begin{equation}\nabla^2(fg) = \nabla \cdot (f\,\nabla g) + \nabla \cdot (g\,\nabla f) \label{eq:5-41-3}\end{equation}
Apply the divergence product rule (identity (23): $\nabla \cdot (h\mathbf{V}) = (\nabla h) \cdot \mathbf{V} + h\,(\nabla \cdot \mathbf{V})$) to each term.
\begin{equation}\nabla \cdot (f\,\nabla g) = (\nabla f) \cdot (\nabla g) + f\,\nabla \cdot (\nabla g) = \nabla f \cdot \nabla g + f\,\nabla^2 g \label{eq:5-41-4}\end{equation}
\begin{equation}\nabla \cdot (g\,\nabla f) = (\nabla g) \cdot (\nabla f) + g\,\nabla \cdot (\nabla f) = \nabla f \cdot \nabla g + g\,\nabla^2 f \label{eq:5-41-5}\end{equation}
Substitute $\eqref{eq:5-41-4}$ and $\eqref{eq:5-41-5}$ into $\eqref{eq:5-41-3}$:
\begin{equation}\nabla^2(fg) = f\,\nabla^2 g + 2(\nabla f \cdot \nabla g) + g\,\nabla^2 f \label{eq:5-41-6}\end{equation}
(42) Definition of the vector Laplacian
Proof
In Cartesian coordinates the basis vectors $\mathbf{e}_x, \mathbf{e}_y, \mathbf{e}_z$ are constant (independent of position), so any differential operator passes through the basis and acts only on the components.
The vector Laplacian is the quantity that appears as the second term on the right of (40); from $\eqref{eq:5-40-8}$ in that proof,
\begin{equation}[\nabla^2 \mathbf{A}]_i = \dfrac{\partial^2 A_i}{\partial x_j \partial x_j} = \displaystyle\sum_{j} \dfrac{\partial^2 A_i}{\partial x_j^2} = \nabla^2 A_i \label{eq:5-42-1}\end{equation}
For $i = 1, 2, 3$ (i.e. $i = x, y, z$),
\begin{equation}\nabla^2 \mathbf{A} = (\nabla^2 A_x,\ \nabla^2 A_y,\ \nabla^2 A_z) \label{eq:5-42-2}\end{equation}
(43) Laplacian of a scalar times a vector
Proof
By (42), in Cartesian coordinates the $i$-th component of $\nabla^2(f\mathbf{A})$ is $\nabla^2(fA_i)$:
\begin{equation}[\nabla^2(f\mathbf{A})]_i = \nabla^2(fA_i) \label{eq:5-43-1}\end{equation}
Apply (41) to the scalar fields $f$ and $A_i$:
\begin{equation}\nabla^2(fA_i) = (\nabla^2 f)\,A_i + 2(\nabla f \cdot \nabla A_i) + f\,\nabla^2 A_i \label{eq:5-43-2}\end{equation}
The term $\nabla f \cdot \nabla A_i$ is the $i$-th component of the directional-derivative operator $(\nabla f \cdot \nabla)$ applied to $\mathbf{A}$:
\begin{equation}\nabla f \cdot \nabla A_i = \displaystyle\sum_{j} \dfrac{\partial f}{\partial x_j}\,\dfrac{\partial A_i}{\partial x_j} = [(\nabla f \cdot \nabla)\mathbf{A}]_i \label{eq:5-43-3}\end{equation}
Substitute $\eqref{eq:5-43-3}$ into $\eqref{eq:5-43-2}$ and collect components:
\begin{equation}[\nabla^2(f\mathbf{A})]_i = (\nabla^2 f)\,A_i + 2[(\nabla f \cdot \nabla)\mathbf{A}]_i + f\,[\nabla^2 \mathbf{A}]_i \label{eq:5-43-4}\end{equation}
True for every $i$, hence
\begin{equation}\nabla^2(f\mathbf{A}) = (\nabla^2 f)\mathbf{A} + 2(\nabla f \cdot \nabla)\mathbf{A} + f\,\nabla^2\mathbf{A} \label{eq:5-43-5}\end{equation}
(44) Laplacian of a dot product
Proof
By the definition of the dot product,
\begin{equation}\mathbf{A} \cdot \mathbf{B} = \displaystyle\sum_{i} A_i\,B_i \label{eq:5-44-1}\end{equation}
By linearity of the Laplacian,
\begin{equation}\nabla^2(\mathbf{A} \cdot \mathbf{B}) = \displaystyle\sum_{i} \nabla^2(A_i\,B_i) \label{eq:5-44-2}\end{equation}
For each $i$, apply (41) to the scalar fields $A_i$ and $B_i$:
\begin{equation}\nabla^2(A_i\,B_i) = A_i\,\nabla^2 B_i + 2\,(\nabla A_i \cdot \nabla B_i) + B_i\,\nabla^2 A_i \label{eq:5-44-3}\end{equation}
Sum over $i$:
\begin{equation}\nabla^2(\mathbf{A} \cdot \mathbf{B}) = \displaystyle\sum_{i} A_i\,\nabla^2 B_i + 2\,\displaystyle\sum_{i} (\nabla A_i \cdot \nabla B_i) + \displaystyle\sum_{i} B_i\,\nabla^2 A_i \label{eq:5-44-4}\end{equation}
By (42), in Cartesian coordinates $[\nabla^2 \mathbf{B}]_i = \nabla^2 B_i$ and $[\nabla^2 \mathbf{A}]_i = \nabla^2 A_i$, so the first and third sums collapse into dot products:
\begin{equation}\displaystyle\sum_{i} A_i\,\nabla^2 B_i = \mathbf{A} \cdot \nabla^2 \mathbf{B},\quad \displaystyle\sum_{i} B_i\,\nabla^2 A_i = \mathbf{B} \cdot \nabla^2 \mathbf{A} \label{eq:5-44-5}\end{equation}
Substituting $\eqref{eq:5-44-5}$ into $\eqref{eq:5-44-4}$,
\begin{equation}\nabla^2(\mathbf{A} \cdot \mathbf{B}) = \mathbf{A} \cdot \nabla^2 \mathbf{B} + \mathbf{B} \cdot \nabla^2 \mathbf{A} + 2\,\displaystyle\sum_{i} (\nabla A_i \cdot \nabla B_i) \label{eq:5-44-6}\end{equation}
5.4 Further topics: harmonic functions and Green's identities
The identities of this chapter lead directly into the theory of elliptic partial differential equations. Two topics that follow immediately from (36) and the divergence theorem are collected here.
Suppl. Green's identities
Proof
Apply the product rule for the divergence (identity (23)) to the vector field $f\,\nabla g$.
\begin{equation}\nabla \cdot (f\,\nabla g) = \nabla f \cdot \nabla g + f\,\nabla \cdot (\nabla g) = \nabla f \cdot \nabla g + f\,\nabla^2 g \label{eq:5-45-1}\end{equation}
The last equality uses (36), $\nabla \cdot (\nabla g) = \nabla^2 g$. Integrate $\eqref{eq:5-45-1}$ over $V$ and apply the divergence theorem to the left-hand side.
\begin{equation}\iiint_V \nabla \cdot (f\,\nabla g)\,dV = \oiint_S (f\,\nabla g) \cdot \mathbf{n}\,dS = \oiint_S f\,\dfrac{\partial g}{\partial n}\,dS \label{eq:5-45-2}\end{equation}
Here $\dfrac{\partial g}{\partial n} = \nabla g \cdot \mathbf{n}$ is the directional derivative along the outward normal. Equating with the integral of the right-hand side of $\eqref{eq:5-45-1}$ gives Green's first identity.
\begin{equation}\iiint_V f\,\nabla^2 g\,dV = -\iiint_V \nabla f \cdot \nabla g\,dV + \oiint_S f\,\dfrac{\partial g}{\partial n}\,dS \label{eq:5-45-3}\end{equation}
From here on assume in addition that $f \in C^2(\overline{V})$. Writing $\eqref{eq:5-45-3}$ again with $f$ and $g$ interchanged and subtracting, the term $\nabla f \cdot \nabla g$ cancels by symmetry and Green's second identity remains.
\begin{equation}\iiint_V \left(f\,\nabla^2 g - g\,\nabla^2 f\right)dV = \oiint_S \left(f\,\dfrac{\partial g}{\partial n} - g\,\dfrac{\partial f}{\partial n}\right)dS \label{eq:5-45-4}\end{equation}
Chapter summary
- (36)(37) Definition of the Laplacian: $\nabla \cdot (\nabla f) = \nabla^2 f$ is the sum of second partial derivatives.
- (38) curl-of-grad = 0, (39) div-of-curl = 0: both follow from the structural identity "symmetric (Schwarz) × antisymmetric (Levi-Civita) = 0".
- (40) curl of curl: the $\varepsilon$-$\delta$ identity decomposes it into $\nabla(\nabla \cdot \mathbf{A}) - \nabla^2 \mathbf{A}$. Key step in deriving the wave equation.
- (41)-(44) Laplacian product rules: all follow from applying (41) componentwise.
- §5.4 further topics: applying the divergence theorem to $\nabla \cdot (f\nabla g)$ yields Green's identities and leads to the analysis of harmonic functions ($\nabla^2 f = 0$).
References
- Vector calculus identities - Wikipedia
- Laplace operator - Wikipedia
- Symmetry of second derivatives (Schwarz's theorem) - Wikipedia
- Levi-Civita symbol - Wikipedia
- Marsden, J. E., & Tromba, A. J. (2012). Vector Calculus (6th ed.). W. H. Freeman.
- Arfken, G. B., Weber, H. J., & Harris, F. E. (2013). Mathematical Methods for Physicists (7th ed.). Academic Press.
- Evans, L. C. (2010). Partial Differential Equations (2nd ed.). American Mathematical Society. (Green's identities and harmonic functions)
Frequently Asked Questions
What are the key formulas involving the Laplacian ∇²?
For a scalar field: $\nabla^2 f=\partial^2f/\partial x^2+\partial^2f/\partial y^2+\partial^2f/\partial z^2$. The product rule gives $\nabla^2(fg)=f\nabla^2g+2(\nabla f)\cdot(\nabla g)+g\nabla^2f$. For vector fields, the vector Laplacian is $\nabla^2\mathbf{F}=\nabla(\nabla\cdot\mathbf{F})-\nabla\times(\nabla\times\mathbf{F})$.
What is a harmonic function?
A function satisfying $\nabla^2 f=0$ is called harmonic. Examples include the Coulomb potential $\phi=1/r$ (for $r>0$), real and imaginary parts of complex analytic functions, and steady-state temperature distributions. By the maximum principle, a nonconstant function that is harmonic on a bounded connected domain and continuous up to the boundary attains its maximum and minimum on the boundary.
What are Green's identities?
Derived from the divergence theorem: Green's first identity is $\iiint_V f\nabla^2g\,dV=-\iiint_V\nabla f\cdot\nabla g\,dV+\oiint_S f\frac{\partial g}{\partial n}\,dS$; the second identity is $\iiint_V(f\nabla^2g-g\nabla^2f)\,dV=\oiint_S(f\frac{\partial g}{\partial n}-g\frac{\partial f}{\partial n})\,dS$. These are fundamental in the theory of elliptic PDEs and potential theory.