Proofs of Integral Theorems

Vector Calculus — Appendix

Proofs of Integral Theorems (Appendix)

This appendix gives rigorous proofs of the six core integral theorems of vector calculus. The main text Integral Theorems states the divergence theorem (D), Stokes' theorem (S), Green's theorem (G), Green's first and second identities (G1, G2), the Helmholtz decomposition (H), and the gradient/curl corollaries (D-grad, D-curl) of the divergence theorem; here we derive them with a uniform technique combining regular regions, Fubini's theorem, and integration by parts.

Notation and assumptions
Throughout the appendix, $V \subset \mathbb{R}^3$ denotes a bounded closed region, $\partial V$ its piecewise smooth boundary, and $\hat{\mathbf{n}}$ the outward unit normal. Scalar fields $f, g$ and vector fields $\mathbf{A}, \mathbf{F}$ are continuously differentiable up to the order required ($C^1$ or $C^2$). Each theorem lists its precise hypotheses separately. The Levi-Civita symbol $\varepsilon_{ijk}$ and the $\varepsilon$-$\delta$ identity follow the conventions of Chapter 1.

1. Divergence Theorem

This section proves the divergence theorem, which equates the volume integral of the divergence of a vector field to the flux through the boundary surface, by starting from a Fubini computation on $z$-regular regions and extending to general regions.

(D) Divergence Theorem (Gauss' Theorem)

$$\displaystyle\iiint_V (\nabla \cdot \mathbf{A})\,dV = \iint_{\partial V} \mathbf{A} \cdot \hat{\mathbf{n}}\,dS \tag{D}$$
Conditions: $V \subset \mathbb{R}^3$ is a bounded closed region, $\partial V$ is a piecewise smooth closed surface, $\hat{\mathbf{n}}$ is the outward unit normal, and $\mathbf{A} = (A_x, A_y, A_z)$ is $C^1$ on an open set containing $V$.
Proof

Step 1 (Reduction to triply-regular regions). We first treat the case where $V$ is regular in all three coordinate directions, meaning that for each axis the upper and lower bounds are given by continuous functions of the remaining two coordinates. As an example, z-regularity means that there exist continuous functions $z_1(x,y) \le z_2(x,y)$ on a planar domain $D \subset \mathbb{R}^2$ such that \begin{equation}V = \{(x,y,z) : (x,y) \in D,\ z_1(x,y) \le z \le z_2(x,y)\} \label{eq:D-1}\end{equation} x-regularity and y-regularity are defined analogously. The general bounded closed region is handled by partitioning into finitely many triply-regular subregions (Step 6).

Step 2 (Fubini on the z-component). Apply Fubini's theorem to the volume integral of $\partial A_z/\partial z$.

\begin{equation}\displaystyle\iiint_V \dfrac{\partial A_z}{\partial z}\,dV = \displaystyle\iint_D \left( \displaystyle\int_{z_1(x,y)}^{z_2(x,y)} \dfrac{\partial A_z}{\partial z}\,dz \right) dA \label{eq:D-2}\end{equation}

The fundamental theorem of calculus evaluates the inner integral.

\begin{equation}\displaystyle\int_{z_1(x,y)}^{z_2(x,y)} \dfrac{\partial A_z}{\partial z}\,dz = A_z(x,y,z_2(x,y)) - A_z(x,y,z_1(x,y)) \label{eq:D-3}\end{equation}

Step 3 (Conversion to surface integrals on top and bottom). Decompose $\partial V$ into the top $S_+$ ($z = z_2$), the bottom $S_-$ ($z = z_1$), and the side $S_{\text{side}}$. The outward normal points upward on $S_+$ and downward on $S_-$, so the surface elements satisfy

\begin{equation}\hat{\mathbf{n}} \cdot \hat{\mathbf{e}}_z\,dS = +dA \quad (\text{on } S_+),\qquad \hat{\mathbf{n}} \cdot \hat{\mathbf{e}}_z\,dS = -dA \quad (\text{on } S_-) \label{eq:D-4}\end{equation}

Therefore the right-hand side of $\eqref{eq:D-3}$ equals

\begin{equation}\displaystyle\iint_{S_+} A_z\,(\hat{\mathbf{n}} \cdot \hat{\mathbf{e}}_z)\,dS + \displaystyle\iint_{S_-} A_z\,(\hat{\mathbf{n}} \cdot \hat{\mathbf{e}}_z)\,dS \label{eq:D-5}\end{equation}

Step 4 (The side contributes nothing). On $S_{\text{side}}$ the generators are parallel to the $z$-axis, so the outward normal lies in the horizontal plane and $\hat{\mathbf{n}} \cdot \hat{\mathbf{e}}_z = 0$. The side therefore contributes nothing to the surface integral of $A_z$.

\begin{equation}\displaystyle\iiint_V \dfrac{\partial A_z}{\partial z}\,dV = \displaystyle\iint_{\partial V} A_z\,(\hat{\mathbf{n}} \cdot \hat{\mathbf{e}}_z)\,dS \label{eq:D-6}\end{equation}

Step 5 (x and y components). By the triply-regular assumption from Step 1, $V$ is also x-regular ($x_1(y,z) \le x \le x_2(y,z)$) and y-regular, so repeating the argument of Steps 2-4 with the coordinate axes permuted yields

\begin{equation}\displaystyle\iiint_V \dfrac{\partial A_x}{\partial x}\,dV = \displaystyle\iint_{\partial V} A_x\,(\hat{\mathbf{n}} \cdot \hat{\mathbf{e}}_x)\,dS \label{eq:D-7}\end{equation}

\begin{equation}\displaystyle\iiint_V \dfrac{\partial A_y}{\partial y}\,dV = \displaystyle\iint_{\partial V} A_y\,(\hat{\mathbf{n}} \cdot \hat{\mathbf{e}}_y)\,dS \label{eq:D-8}\end{equation}

Adding $\eqref{eq:D-6}$, $\eqref{eq:D-7}$, $\eqref{eq:D-8}$,

\begin{equation}\displaystyle\iiint_V \left( \dfrac{\partial A_x}{\partial x} + \dfrac{\partial A_y}{\partial y} + \dfrac{\partial A_z}{\partial z} \right) dV = \displaystyle\iint_{\partial V} (A_x n_x + A_y n_y + A_z n_z)\,dS \label{eq:D-9}\end{equation}

The left-hand side is the volume integral of $\nabla \cdot \mathbf{A}$ and the right-hand side is the surface integral of $\mathbf{A} \cdot \hat{\mathbf{n}}$.

Step 6 (Extension to general regions). By the piecewise smoothness assumption, any bounded closed region $V$ can be partitioned into finitely many triply-regular subregions. On the common boundaries of adjacent subregions the outward normals point in opposite directions, so their surface integrals cancel and only the integral over the outer boundary $\partial V$ survives. Therefore

\begin{equation}\displaystyle\iiint_V (\nabla \cdot \mathbf{A})\,dV = \displaystyle\iint_{\partial V} \mathbf{A} \cdot \hat{\mathbf{n}}\,dS \label{eq:D-10}\end{equation}

holds for every bounded closed region $V$. $\square$

Remark: The triple-regularity assumption is not essential; the same conclusion holds under the weaker hypothesis of a smooth (or merely Lipschitz) boundary, as justified by Whitney's extension theorem or trace theorems on Lipschitz domains. Physically, the theorem expresses the conservation law that the total sources (divergence) inside $V$ equal the net flux through its surface.

2. Stokes' Theorem

This section proves Stokes' theorem by the classical argument of reducing to a parametrization and invoking planar Green's theorem. The $C^2$ assumption and Schwarz's symmetry are essential.

(S) Stokes' Theorem

$$\displaystyle\iint_S (\nabla \times \mathbf{A}) \cdot \hat{\mathbf{n}}\,dS = \oint_{\partial S} \mathbf{A} \cdot d\boldsymbol{\ell} \tag{S}$$
Conditions: $S$ is a piecewise smooth bounded orientable surface whose local parametrization $\mathbf{r}(u,v)$ on each smooth piece is $C^2$ (needed for Schwarz symmetry in Step 3), $\partial S$ is a closed curve oriented consistently with $\hat{\mathbf{n}}$ by the right-hand rule, and $\mathbf{A}$ is $C^1$ on an open set containing $S$.
Proof

Step 1 (Reduction to a parametrization). We reduce to the case where $S$ is covered by a single smooth parametrization \begin{equation}\mathbf{r} : D \to \mathbb{R}^3,\quad (u,v) \mapsto \mathbf{r}(u,v),\quad D \subset \mathbb{R}^2 \label{eq:S-1}\end{equation} A general surface is handled by partitioning into finitely many parametric patches whose internal boundaries cancel.

Step 2 (Substitute the surface element). The oriented surface-element vector consistent with the orientation of $S$ is

\begin{equation}\hat{\mathbf{n}}\,dS = \left( \dfrac{\partial \mathbf{r}}{\partial u} \times \dfrac{\partial \mathbf{r}}{\partial v} \right) du\,dv \label{eq:S-2}\end{equation} so the surface integral becomes

\begin{equation}\displaystyle\iint_S (\nabla \times \mathbf{A}) \cdot \hat{\mathbf{n}}\,dS = \displaystyle\iint_D (\nabla \times \mathbf{A}) \cdot \left( \dfrac{\partial \mathbf{r}}{\partial u} \times \dfrac{\partial \mathbf{r}}{\partial v} \right) du\,dv \label{eq:S-3}\end{equation} Using the cyclic property of the scalar triple product, $\mathbf{a} \cdot (\mathbf{b} \times \mathbf{c}) = \mathbf{c} \cdot (\mathbf{a} \times \mathbf{b}) = \mathbf{b} \cdot (\mathbf{c} \times \mathbf{a})$, set $\mathbf{r}_u := \partial \mathbf{r}/\partial u$ and $\mathbf{r}_v := \partial \mathbf{r}/\partial v$.

Step 3 (Chain rule and Schwarz symmetry). Differentiate $\mathbf{A}(\mathbf{r}(u,v))$ via the chain rule.

\begin{equation}\dfrac{\partial}{\partial u}(\mathbf{A} \cdot \mathbf{r}_v) = \left( (\mathbf{r}_u \cdot \nabla)\mathbf{A} \right) \cdot \mathbf{r}_v + \mathbf{A} \cdot \mathbf{r}_{vu} \label{eq:S-4}\end{equation}

\begin{equation}\dfrac{\partial}{\partial v}(\mathbf{A} \cdot \mathbf{r}_u) = \left( (\mathbf{r}_v \cdot \nabla)\mathbf{A} \right) \cdot \mathbf{r}_u + \mathbf{A} \cdot \mathbf{r}_{uv} \label{eq:S-5}\end{equation}

If $\mathbf{r}$ is $C^2$ then Schwarz's theorem gives $\mathbf{r}_{uv} = \mathbf{r}_{vu}$, and subtracting $\eqref{eq:S-5}$ from $\eqref{eq:S-4}$,

\begin{equation}\dfrac{\partial}{\partial u}(\mathbf{A} \cdot \mathbf{r}_v) - \dfrac{\partial}{\partial v}(\mathbf{A} \cdot \mathbf{r}_u) = \left( (\mathbf{r}_u \cdot \nabla)\mathbf{A} \right) \cdot \mathbf{r}_v - \left( (\mathbf{r}_v \cdot \nabla)\mathbf{A} \right) \cdot \mathbf{r}_u \label{eq:S-6}\end{equation}

The right-hand side equals $(\nabla \times \mathbf{A}) \cdot (\mathbf{r}_u \times \mathbf{r}_v)$ by direct component computation with the Levi-Civita symbol. Indeed, the $i$-th component contribution

\begin{equation}\left[ (\mathbf{r}_u \cdot \nabla)\mathbf{A} \cdot \mathbf{r}_v - (\mathbf{r}_v \cdot \nabla)\mathbf{A} \cdot \mathbf{r}_u \right]_i = \varepsilon_{ijk}\,(\partial_j A_k)\,(\mathbf{r}_u \times \mathbf{r}_v)_i \label{eq:S-7}\end{equation} sums to $(\nabla \times \mathbf{A}) \cdot (\mathbf{r}_u \times \mathbf{r}_v)$. Hence

\begin{equation}(\nabla \times \mathbf{A}) \cdot (\mathbf{r}_u \times \mathbf{r}_v) = \dfrac{\partial}{\partial u}(\mathbf{A} \cdot \mathbf{r}_v) - \dfrac{\partial}{\partial v}(\mathbf{A} \cdot \mathbf{r}_u) \label{eq:S-8}\end{equation}

Step 4 (Apply planar Green's theorem). Substituting $\eqref{eq:S-8}$ into $\eqref{eq:S-3}$,

\begin{equation}\displaystyle\iint_S (\nabla \times \mathbf{A}) \cdot \hat{\mathbf{n}}\,dS = \displaystyle\iint_D \left[ \dfrac{\partial}{\partial u}(\mathbf{A} \cdot \mathbf{r}_v) - \dfrac{\partial}{\partial v}(\mathbf{A} \cdot \mathbf{r}_u) \right] du\,dv \label{eq:S-9}\end{equation} The integrand is exactly $\partial Q/\partial u - \partial P/\partial v$ with $P = \mathbf{A} \cdot \mathbf{r}_u$ and $Q = \mathbf{A} \cdot \mathbf{r}_v$, so planar Green's theorem (G) applies directly.

\begin{equation}\displaystyle\iint_D \left( \dfrac{\partial Q}{\partial u} - \dfrac{\partial P}{\partial v} \right) du\,dv = \displaystyle\oint_{\partial D} (P\,du + Q\,dv) \label{eq:S-10}\end{equation}

Step 5 (Boundary line integrals match). When $\partial D$ winds counterclockwise around $D$, its image $\mathbf{r}(\partial D)$ traverses $\partial S$ in the orientation prescribed by the right-hand rule with $\hat{\mathbf{n}} = (\mathbf{r}_u \times \mathbf{r}_v)/|\mathbf{r}_u \times \mathbf{r}_v|$. On the boundary $d\mathbf{r} = \mathbf{r}_u\,du + \mathbf{r}_v\,dv$, so

\begin{equation}\mathbf{A} \cdot d\mathbf{r} = (\mathbf{A} \cdot \mathbf{r}_u)\,du + (\mathbf{A} \cdot \mathbf{r}_v)\,dv = P\,du + Q\,dv \label{eq:S-11}\end{equation}

and therefore

\begin{equation}\displaystyle\oint_{\partial D} (P\,du + Q\,dv) = \displaystyle\oint_{\partial S} \mathbf{A} \cdot d\boldsymbol{\ell} \label{eq:S-12}\end{equation}

Chaining $\eqref{eq:S-9}$, $\eqref{eq:S-10}$, $\eqref{eq:S-12}$ proves (S). $\square$

Remark: We used planar Green's theorem as a black box. Conversely, applying Stokes' theorem to a flat surface in $\mathbb{R}^2 \subset \mathbb{R}^3$ recovers Green's theorem, so the two are equivalent. In the language of differential forms, both are special cases of the general Stokes' theorem $\int_M d\omega = \int_{\partial M} \omega$.

3. Green's Theorem

This section proves the planar Green's theorem in two ways: as a corollary of Stokes' theorem and by a direct argument. The direct argument uses only y-/x-regular decompositions and the fundamental theorem of calculus, making it the most elementary.

(G) Green's Theorem

$$\displaystyle\oint_C (P\,dx + Q\,dy) = \iint_D \left( \dfrac{\partial Q}{\partial x} - \dfrac{\partial P}{\partial y} \right) dA \tag{G}$$
Conditions: $D \subset \mathbb{R}^2$ is a bounded closed region, $C = \partial D$ is a piecewise smooth simple closed curve oriented counterclockwise, and $P, Q$ are $C^1$ on an open set $U \subset \mathbb{R}^2$ containing $D$.
Proof (a) From Stokes' theorem

Regard $\mathbf{A} := (P, Q, 0)$ as a vector field on the $xy$-plane, take $S := D \times \{0\}$ (the flat surface at $z=0$) and $\hat{\mathbf{n}} := \hat{\mathbf{e}}_z$. Then

\begin{equation}\nabla \times \mathbf{A} = \left( -\dfrac{\partial Q}{\partial z},\ \dfrac{\partial P}{\partial z},\ \dfrac{\partial Q}{\partial x} - \dfrac{\partial P}{\partial y} \right) = \left( 0,\ 0,\ \dfrac{\partial Q}{\partial x} - \dfrac{\partial P}{\partial y} \right) \label{eq:G-1}\end{equation} (the first two components vanish because $P, Q$ are independent of $z$). Hence $(\nabla \times \mathbf{A}) \cdot \hat{\mathbf{n}} = \partial Q/\partial x - \partial P/\partial y$. The boundary $\partial S$ is $C$ traversed counterclockwise, and with $d\boldsymbol{\ell} = (dx, dy, 0)$ we have $\mathbf{A} \cdot d\boldsymbol{\ell} = P\,dx + Q\,dy$. Applying Stokes' theorem (S) immediately yields (G). $\square$

Proof (b) Direct argument

Step 1 (y-regular decomposition). Suppose first that $D$ is y-regular, i.e.

\begin{equation}D = \{(x,y) : a \le x \le b,\ g_1(x) \le y \le g_2(x)\} \label{eq:G-2}\end{equation} and process the double integral of $\partial P/\partial y$ by Fubini.

\begin{equation}\displaystyle\iint_D \dfrac{\partial P}{\partial y}\,dA = \displaystyle\int_a^b \displaystyle\int_{g_1(x)}^{g_2(x)} \dfrac{\partial P}{\partial y}\,dy\,dx = \displaystyle\int_a^b \big[ P(x, g_2(x)) - P(x, g_1(x)) \big]\,dx \label{eq:G-3}\end{equation}

Step 2 (Convert to a boundary line integral). Splitting $C = \partial D$ counterclockwise into bottom $C_1: y=g_1(x)$, $a \to b$; right $C_2: x=b$, $y$ increasing; top $C_3: y=g_2(x)$, $b \to a$; left $C_4: x=a$, $y$ decreasing. On $C_2$ and $C_4$ we have $dx = 0$, so

\begin{equation}\displaystyle\oint_C P\,dx = \displaystyle\int_a^b P(x, g_1(x))\,dx + \displaystyle\int_b^a P(x, g_2(x))\,dx = \displaystyle\int_a^b \big[ P(x, g_1(x)) - P(x, g_2(x)) \big]\,dx \label{eq:G-4}\end{equation}

Comparing $\eqref{eq:G-3}$ and $\eqref{eq:G-4}$,

\begin{equation}-\displaystyle\iint_D \dfrac{\partial P}{\partial y}\,dA = \displaystyle\oint_C P\,dx \label{eq:G-5}\end{equation}

Step 3 (x-regular decomposition for $Q$). Assume $D$ is also x-regular, $D = \{(x,y) : c \le y \le d,\ h_1(y) \le x \le h_2(y)\}$. The analogous computation gives

\begin{equation}\displaystyle\iint_D \dfrac{\partial Q}{\partial x}\,dA = \displaystyle\int_c^d \big[ Q(h_2(y), y) - Q(h_1(y), y) \big]\,dy = \displaystyle\oint_C Q\,dy \label{eq:G-6}\end{equation}

Step 4 (Combine). Adding $\eqref{eq:G-5}$ and $\eqref{eq:G-6}$,

\begin{equation}\displaystyle\oint_C (P\,dx + Q\,dy) = \displaystyle\iint_D \left( \dfrac{\partial Q}{\partial x} - \dfrac{\partial P}{\partial y} \right) dA \label{eq:G-7}\end{equation}

A general $D$ can be expressed as a finite union of subregions that are simultaneously y- and x-regular; the internal-boundary line integrals cancel because adjacent regions traverse them in opposite directions. This proves (G). $\square$

Remark: (G) is also the 2-dimensional case of the general Stokes' theorem $\int_D d\omega = \int_{\partial D} \omega$ applied to the differential form $\omega = P\,dx + Q\,dy$, whose exterior derivative is $d\omega = (\partial Q/\partial x - \partial P/\partial y)\,dx \wedge dy$.

4. Green's First and Second Identities

This section derives Green's two identities by substituting the product field $f\,\nabla g$ into the divergence theorem. They are central tools for the Green's-function approach to Poisson's equation.

(G1, G2) Green's First and Second Identities

$$\displaystyle\iiint_V (f\,\nabla^2 g + \nabla f \cdot \nabla g)\,dV = \iint_{\partial V} f\,(\nabla g \cdot \hat{\mathbf{n}})\,dS \tag{G1}$$$$\displaystyle\iiint_V (f\,\nabla^2 g - g\,\nabla^2 f)\,dV = \iint_{\partial V} (f\,\nabla g - g\,\nabla f) \cdot \hat{\mathbf{n}}\,dS \tag{G2}$$
Conditions: $V$ is a bounded closed region for which the divergence theorem (D) holds, and $f, g \in C^2(V)$. We call $\partial g/\partial n := \nabla g \cdot \hat{\mathbf{n}}$ the normal derivative.
Proof of (G1)

Step 1 (Apply the divergence theorem to a product field). Apply the divergence theorem (D) to $\mathbf{A} := f\,\nabla g$.

\begin{equation}\displaystyle\iiint_V \nabla \cdot (f\,\nabla g)\,dV = \displaystyle\iint_{\partial V} (f\,\nabla g) \cdot \hat{\mathbf{n}}\,dS \label{eq:GI-1}\end{equation}

Step 2 (Expand the divergence). Use the Leibniz rule for the divergence of a scalar-vector product, $\nabla \cdot (f\mathbf{B}) = f\,\nabla \cdot \mathbf{B} + \nabla f \cdot \mathbf{B}$, with $\mathbf{B} = \nabla g$.

\begin{equation}\nabla \cdot (f\,\nabla g) = f\,(\nabla \cdot \nabla g) + \nabla f \cdot \nabla g = f\,\nabla^2 g + \nabla f \cdot \nabla g \label{eq:GI-2}\end{equation} where we used $\nabla \cdot \nabla = \nabla^2$ (the Laplacian).

Step 3 (Assemble the identity). Substituting $\eqref{eq:GI-2}$ into $\eqref{eq:GI-1}$,

\begin{equation}\displaystyle\iiint_V (f\,\nabla^2 g + \nabla f \cdot \nabla g)\,dV = \displaystyle\iint_{\partial V} f\,(\nabla g \cdot \hat{\mathbf{n}})\,dS \label{eq:GI-3}\end{equation} which is the first identity (G1). $\square$

Proof of (G2)

Step 1 (Swap the roles of $f$ and $g$). Exchanging $f$ and $g$ in $\eqref{eq:GI-3}$,

\begin{equation}\displaystyle\iiint_V (g\,\nabla^2 f + \nabla g \cdot \nabla f)\,dV = \displaystyle\iint_{\partial V} g\,(\nabla f \cdot \hat{\mathbf{n}})\,dS \label{eq:GI-4}\end{equation}

Step 2 (Subtract). Subtract $\eqref{eq:GI-4}$ from $\eqref{eq:GI-3}$. Because $\nabla f \cdot \nabla g = \nabla g \cdot \nabla f$, the cross term in the volume integral cancels.

\begin{equation}\displaystyle\iiint_V (f\,\nabla^2 g - g\,\nabla^2 f)\,dV = \displaystyle\iint_{\partial V} \big[ f\,(\nabla g \cdot \hat{\mathbf{n}}) - g\,(\nabla f \cdot \hat{\mathbf{n}}) \big]\,dS \label{eq:GI-5}\end{equation}

The right-hand side combines into $(f\,\nabla g - g\,\nabla f) \cdot \hat{\mathbf{n}}$.

\begin{equation}\displaystyle\iiint_V (f\,\nabla^2 g - g\,\nabla^2 f)\,dV = \displaystyle\iint_{\partial V} (f\,\nabla g - g\,\nabla f) \cdot \hat{\mathbf{n}}\,dS \label{eq:GI-6}\end{equation} which is the second identity (G2). $\square$

Remark: The second identity (G2) is the starting point for the representation formula in the Green's-function approach to Poisson's equation $\nabla^2 u = -\rho$. Replacing $g$ with the Green's function $G(\mathbf{r}, \mathbf{r}')$ leads directly to the Newton-potential representation of the solution.

5. Helmholtz Decomposition

This section proves that every vector field on $\mathbb{R}^3$ satisfying the decay conditions admits a unique decomposition into the gradient of a scalar potential and the curl of a vector potential. The key tools are the Newton potential and Liouville's theorem.

(H) Helmholtz Decomposition

$$\mathbf{F}(\mathbf{r}) = -\nabla \phi(\mathbf{r}) + \nabla \times \mathbf{A}(\mathbf{r}) \tag{H}$$
Conditions: $\mathbf{F} : \mathbb{R}^3 \to \mathbb{R}^3$ is sufficiently smooth (say $C^2$) and decays fast enough at infinity, $|\mathbf{F}(\mathbf{r})| = O(|\mathbf{r}|^{-1-\epsilon})$ for some $\epsilon > 0$, with similar decay on its derivatives.
Proof

Step 1 (Construct Newton-potential solutions). Define the scalar potential $\phi$ and vector potential $\mathbf{A}$ as convolutions with the Newton kernel (the fundamental solution $-1/(4\pi |\mathbf{r}-\mathbf{r}'|)$).

\begin{equation}\phi(\mathbf{r}) := \dfrac{1}{4\pi}\,\displaystyle\iiint_{\mathbb{R}^3} \dfrac{\nabla' \cdot \mathbf{F}(\mathbf{r}')}{|\mathbf{r} - \mathbf{r}'|}\,dV' \label{eq:H-1}\end{equation}

\begin{equation}\mathbf{A}(\mathbf{r}) := \dfrac{1}{4\pi}\,\displaystyle\iiint_{\mathbb{R}^3} \dfrac{\nabla' \times \mathbf{F}(\mathbf{r}')}{|\mathbf{r} - \mathbf{r}'|}\,dV' \label{eq:H-2}\end{equation} where $\nabla'$ denotes differentiation with respect to $\mathbf{r}'$. The decay assumptions make these integrals absolutely convergent.

Step 2 (Laplacian of the fundamental solution). A basic property of the Newton kernel is

\begin{equation}\nabla^2 \left( \dfrac{1}{|\mathbf{r} - \mathbf{r}'|} \right) = -4\pi\,\delta^3(\mathbf{r} - \mathbf{r}') \label{eq:H-3}\end{equation} in the distributional sense ($\delta^3$ is the 3-dimensional Dirac delta).

Step 3 (Compute $-\nabla \phi + \nabla \times \mathbf{A}$). Applying the Laplacian to $\phi$ and $\mathbf{A}$,

\begin{equation}\nabla^2 \phi(\mathbf{r}) = \dfrac{1}{4\pi}\,\displaystyle\iiint \nabla^2 \left( \dfrac{1}{|\mathbf{r}-\mathbf{r}'|} \right) (\nabla' \cdot \mathbf{F})\,dV' = -\,\nabla \cdot \mathbf{F}(\mathbf{r}) \label{eq:H-4}\end{equation}

\begin{equation}\nabla^2 \mathbf{A}(\mathbf{r}) = -\,\nabla \times \mathbf{F}(\mathbf{r}) \label{eq:H-5}\end{equation}

Step 4 (Vector identity). The identity

\begin{equation}\nabla \times (\nabla \times \mathbf{X}) = \nabla(\nabla \cdot \mathbf{X}) - \nabla^2 \mathbf{X} \label{eq:H-6}\end{equation} applied with $\mathbf{X} = \mathbf{A}$ together with $\nabla \cdot \mathbf{A} = 0$ (which follows from $\eqref{eq:H-2}$ by integration by parts using the decay assumption and $\nabla \cdot (\nabla \times \mathbf{F}) = 0$) gives

\begin{equation}\nabla \times (\nabla \times \mathbf{A}) = -\,\nabla^2 \mathbf{A} = \nabla \times \mathbf{F} \label{eq:H-7}\end{equation}

It remains to verify that $-\nabla \phi + \nabla \times \mathbf{A}$ has the same divergence and curl as $\mathbf{F}$.

\begin{equation}\nabla \cdot (-\nabla \phi + \nabla \times \mathbf{A}) = -\nabla^2 \phi + 0 = \nabla \cdot \mathbf{F} \label{eq:H-8}\end{equation}

\begin{equation}\nabla \times (-\nabla \phi + \nabla \times \mathbf{A}) = 0 + \nabla \times \mathbf{F} = \nabla \times \mathbf{F} \label{eq:H-9}\end{equation}

Step 5 (Difference is harmonic and decays, hence vanishes). Set $\mathbf{H} := \mathbf{F} - (-\nabla \phi + \nabla \times \mathbf{A})$. From $\eqref{eq:H-8}$ and $\eqref{eq:H-9}$, $\nabla \cdot \mathbf{H} = 0$ and $\nabla \times \mathbf{H} = \mathbf{0}$. The latter gives $\mathbf{H} = -\nabla \psi$, and the former forces $\nabla^2 \psi = 0$ (Laplace's equation). The decay of $\mathbf{F}$, $\nabla \phi$, and $\nabla \times \mathbf{A}$ implies that $\mathbf{H}$, and hence $\nabla \psi$, vanishes at infinity. Liouville's theorem (a bounded harmonic function is constant) then forces $\psi$ to be constant, so

\begin{equation}\mathbf{H} = \mathbf{0},\qquad \mathbf{F} = -\nabla \phi + \nabla \times \mathbf{A} \label{eq:H-10}\end{equation}

Step 6 (Uniqueness). If $\mathbf{F} = -\nabla \phi_1 + \nabla \times \mathbf{A}_1 = -\nabla \phi_2 + \nabla \times \mathbf{A}_2$ are two such decompositions, the difference is harmonic and decays at infinity, so by Step 5 it vanishes. Therefore $\nabla \phi_1 = \nabla \phi_2$ (up to a constant) and $\nabla \times \mathbf{A}_1 = \nabla \times \mathbf{A}_2$. $\square$

Remark: Helmholtz decomposition is the basis for splitting flow fields in fluid dynamics into longitudinal (compressible) and transverse (rotational) parts, and provides the natural mathematical foundation for the Coulomb gauge ($\nabla \cdot \mathbf{A} = 0$) in electromagnetism. Weakening the decay assumption destroys uniqueness (a harmonic-field freedom remains), and on bounded regions the freedom must be fixed by boundary conditions.

6. Corollaries of the Divergence Theorem: Gradient and Curl Forms

This section derives the gradient and curl forms by "multiplying by an arbitrary constant vector" in the divergence theorem. They are everyday tools in fluid mechanics and elasticity.

(D-grad, D-curl) Corollaries: Gradient and Curl Forms

$$\displaystyle\iiint_V \nabla f\,dV = \iint_{\partial V} f\,\hat{\mathbf{n}}\,dS \tag{D-grad}$$$$\displaystyle\iiint_V \nabla \times \mathbf{A}\,dV = \iint_{\partial V} \hat{\mathbf{n}} \times \mathbf{A}\,dS \tag{D-curl}$$
Conditions: $V$ is a bounded closed region for which the divergence theorem (D) holds, $f \in C^1(V)$ is a scalar field, and $\mathbf{A} \in C^1(V)$ is a vector field.
Proof of (D-grad)

Step 1 (Multiply by an arbitrary constant vector $\mathbf{c}$ and take the divergence). For any constant vector $\mathbf{c} \in \mathbb{R}^3$, compute the divergence of $\mathbf{B} := f\,\mathbf{c}$. Since $\mathbf{c}$ is constant, $\nabla \cdot \mathbf{c} = 0$, so

\begin{equation}\nabla \cdot (f\,\mathbf{c}) = \mathbf{c} \cdot \nabla f + f\,(\nabla \cdot \mathbf{c}) = \mathbf{c} \cdot \nabla f \label{eq:DG-1}\end{equation}

Step 2 (Apply the divergence theorem). Apply (D) to $\mathbf{B} = f\,\mathbf{c}$.

\begin{equation}\displaystyle\iiint_V \mathbf{c} \cdot \nabla f\,dV = \displaystyle\iint_{\partial V} f\,(\mathbf{c} \cdot \hat{\mathbf{n}})\,dS \label{eq:DG-2}\end{equation} The constant $\mathbf{c}$ can be pulled outside the integrals.

\begin{equation}\mathbf{c} \cdot \displaystyle\iiint_V \nabla f\,dV = \mathbf{c} \cdot \displaystyle\iint_{\partial V} f\,\hat{\mathbf{n}}\,dS \label{eq:DG-3}\end{equation}

Step 3 (Arbitrariness of $\mathbf{c}$). Since $\eqref{eq:DG-3}$ holds for every $\mathbf{c} \in \mathbb{R}^3$, the two vectors must be equal.

\begin{equation}\displaystyle\iiint_V \nabla f\,dV = \displaystyle\iint_{\partial V} f\,\hat{\mathbf{n}}\,dS \label{eq:DG-4}\end{equation} $\square$

Proof of (D-curl)

Step 1 (Divergence of $\mathbf{A} \times \mathbf{c}$). For an arbitrary constant vector $\mathbf{c}$, use the divergence-of-cross-product identity $\nabla \cdot (\mathbf{A} \times \mathbf{c}) = (\nabla \times \mathbf{A}) \cdot \mathbf{c} - \mathbf{A} \cdot (\nabla \times \mathbf{c})$. Since $\nabla \times \mathbf{c} = \mathbf{0}$,

\begin{equation}\nabla \cdot (\mathbf{A} \times \mathbf{c}) = (\nabla \times \mathbf{A}) \cdot \mathbf{c} = \mathbf{c} \cdot (\nabla \times \mathbf{A}) \label{eq:DC-1}\end{equation}

Step 2 (Divergence theorem and scalar triple product). Apply (D) to $\mathbf{B} := \mathbf{A} \times \mathbf{c}$ and use the cyclic identity $(\mathbf{A} \times \mathbf{c}) \cdot \hat{\mathbf{n}} = \mathbf{c} \cdot (\hat{\mathbf{n}} \times \mathbf{A})$ on the surface integral.

\begin{equation}\displaystyle\iiint_V \mathbf{c} \cdot (\nabla \times \mathbf{A})\,dV = \displaystyle\iint_{\partial V} \mathbf{c} \cdot (\hat{\mathbf{n}} \times \mathbf{A})\,dS \label{eq:DC-2}\end{equation} Pull the constant $\mathbf{c}$ out.

\begin{equation}\mathbf{c} \cdot \displaystyle\iiint_V (\nabla \times \mathbf{A})\,dV = \mathbf{c} \cdot \displaystyle\iint_{\partial V} (\hat{\mathbf{n}} \times \mathbf{A})\,dS \label{eq:DC-3}\end{equation}

Step 3 (Arbitrariness of $\mathbf{c}$). Since $\eqref{eq:DC-3}$ holds for every $\mathbf{c}$,

\begin{equation}\displaystyle\iiint_V \nabla \times \mathbf{A}\,dV = \displaystyle\iint_{\partial V} \hat{\mathbf{n}} \times \mathbf{A}\,dS \label{eq:DC-4}\end{equation} $\square$

Remark: Both corollaries are textbook examples of the "multiply by a constant vector and reduce to the divergence theorem" technique, applying the vector identities $\nabla \cdot (f\mathbf{c}) = \mathbf{c} \cdot \nabla f$ and $\nabla \cdot (\mathbf{A} \times \mathbf{c}) = \mathbf{c} \cdot (\nabla \times \mathbf{A})$.

References

  • Schey, H. M. (2004). Div, Grad, Curl, and All That: An Informal Text on Vector Calculus (4th ed.). W. W. Norton.
  • Spiegel, M. R., Lipschutz, S., & Spellman, D. (2009). Vector Analysis (Schaum's Outline, 2nd ed.). McGraw-Hill.
  • Folland, G. B. (2002). Advanced Calculus. Prentice Hall.
  • Jackson, J. D. (1999). Classical Electrodynamics (3rd ed.). Wiley. (Standard treatment of Helmholtz decomposition.)
  • Divergence theorem - Wikipedia
  • Helmholtz decomposition - Wikipedia