The math optional, made finite. Daily Practice

Vector identities (curl of grad, div of curl, product rules)

At a Glance

Why This Chapter Matters

Vector identity proofs appear in three consecutive years (2018, 2023, 2025) with marks ranging from 10 to 15, making this one of the more consistent T3 items in Paper 1. All three questions use the same technique: expand in Cartesian coordinates, regroup terms, identify the target expressions. The 2025 question applies the curl-curl identity to Maxwell’s equations to derive the electromagnetic wave equation — a 10-mark bonus that becomes trivial once you know the identity cold. Together these three questions cover 37 marks across three examinations.

Minimum Theory

Core identities (memorise these). For smooth scalar field ϕ\phi and vector fields F,G\mathbf{F},\mathbf{G}:

×(ϕ)=0\nabla\times(\nabla\phi) = \mathbf{0}

(×F)=0\nabla\cdot(\nabla\times\mathbf{F}) = 0

×(×F)=(F)2F\nabla\times(\nabla\times\mathbf{F}) = \nabla(\nabla\cdot\mathbf{F}) - \nabla^2\mathbf{F}

(ϕF)=ϕF+ϕF\nabla\cdot(\phi\mathbf{F}) = \nabla\phi\cdot\mathbf{F} + \phi\,\nabla\cdot\mathbf{F}

×(ϕF)=ϕ×F+ϕ×F\nabla\times(\phi\mathbf{F}) = \nabla\phi\times\mathbf{F} + \phi\,\nabla\times\mathbf{F}

The curl-curl identity is the “BAC–CAB” rule applied formally: ×(×F)=(F)()F\nabla\times(\nabla\times\mathbf{F}) = \nabla(\nabla\cdot\mathbf{F}) - (\nabla\cdot\nabla)\mathbf{F}.

Proof technique. Every proof proceeds the same way: (1) write out the ı^\hat\imath-component using the definitions of curl and divergence; (2) add and subtract a term (typically ±2F1/x2\pm\partial^2 F_1/\partial x^2) to complete the target expressions; (3) invoke cyclic symmetry xyzx\to y\to z to extend to all components.

Radial vector identities. In 3D: r=3\nabla\cdot\mathbf{r} = 3; r=r^=r/r\nabla r = \hat r = \mathbf{r}/r; (f(r))=f(r)r^=f(r)r/r\nabla(f(r)) = f'(r)\hat r = f'(r)\mathbf{r}/r. The chain rule for g(r)=f(r)/rg(r) = f(r)/r gives g(r)=(rf(r)f(r))/r2g'(r) = (rf'(r)-f(r))/r^2.

Question Archetypes

ArchetypeRecognition cue
vector-identity-proof”Show ×(×v)=\nabla\times(\nabla\times\mathbf{v}) = \ldots” or “prove (ϕF)=\nabla\cdot(\phi\mathbf{F}) = \ldots; apply to a radial field”
wave-equation-derivationMaxwell’s equations with E=0\nabla\cdot\mathbf{E}=0, H=0\nabla\cdot\mathbf{H}=0; “show 2E=2E/t2\nabla^2\mathbf{E} = \partial^2\mathbf{E}/\partial t^2

vector-identity-proof (2 question(s); 2018, 2023)

Recognition Cues

Solution Template

For curl-curl:

  1. Write the ı^\hat\imath-component of ×(×v)\nabla\times(\nabla\times\mathbf{v}) by expanding the outer curl applied to ×v\nabla\times\mathbf{v}.
  2. Add and subtract 2v1/x2\partial^2 v_1/\partial x^2 to complete x(v)\partial_x(\nabla\cdot\mathbf{v}) and 2v1-\nabla^2 v_1.
  3. State the result; invoke cyclic symmetry for ȷ^\hat\jmath and k^\hat k components.

For divergence product rule:

  1. Write (ϕF)=ii(ϕFi)\nabla\cdot(\phi\mathbf{F}) = \sum_i \partial_i(\phi F_i); apply product rule to each term; regroup.
  2. For the application ϕ=f(r)/r\phi = f(r)/r, F=r\mathbf{F} = \mathbf{r}: compute (f(r)/r)\nabla(f(r)/r) via chain rule, r=3\nabla\cdot\mathbf{r} = 3, and dot product.

Worked Example

2018 Paper 1, 2018-P1-Q8a (12 marks)

Let v=v1ı^+v2ȷ^+v3k^\mathbf{v}=v_1\hat\imath+v_2\hat\jmath+v_3\hat k. Show that ×(×v)=(v)2v\nabla\times(\nabla\times\mathbf{v})=\nabla(\nabla\cdot\mathbf{v})-\nabla^2\mathbf{v}.

Step 1 — Compute ×v\nabla\times\mathbf{v}. The curl w=×v\mathbf{w} = \nabla\times\mathbf{v} has components

w1=yv3zv2,w2=zv1xv3,w3=xv2yv1.w_1 = \partial_y v_3 - \partial_z v_2,\quad w_2 = \partial_z v_1 - \partial_x v_3,\quad w_3 = \partial_x v_2 - \partial_y v_1.

Step 2 — ı^\hat\imath-component of ×w\nabla\times\mathbf{w}. Using [×w]1=yw3zw2[\nabla\times\mathbf{w}]_1 = \partial_y w_3 - \partial_z w_2:

[×(×v)]1=y(xv2yv1)z(zv1xv3)[\nabla\times(\nabla\times\mathbf{v})]_1 = \partial_y(\partial_x v_2 - \partial_y v_1) - \partial_z(\partial_z v_1 - \partial_x v_3)

=xyv2y2v1z2v1+xzv3.= \partial_x\partial_y v_2 - \partial_y^2 v_1 - \partial_z^2 v_1 + \partial_x\partial_z v_3.

Step 3 — Add and subtract x2v1\partial_x^2 v_1.

=x(xv1+yv2+zv3)(x2v1+y2v1+z2v1)= \partial_x(\partial_x v_1 + \partial_y v_2 + \partial_z v_3) - (\partial_x^2 v_1 + \partial_y^2 v_1 + \partial_z^2 v_1)

=[(v)]1[2v]1.= [\nabla(\nabla\cdot\mathbf{v})]_1 - [\nabla^2\mathbf{v}]_1.

Step 4 — Cyclic symmetry. The ȷ^\hat\jmath and k^\hat k components follow by the cyclic permutation xyzx\to y\to z, v1v2v3v_1\to v_2\to v_3. Hence

×(×v)=(v)2v.\boxed{\nabla\times(\nabla\times\mathbf{v}) = \nabla(\nabla\cdot\mathbf{v}) - \nabla^2\mathbf{v}.}

(Here 2v=(2v1,2v2,2v3)\nabla^2\mathbf{v} = (\nabla^2 v_1,\nabla^2 v_2,\nabla^2 v_3) is the vector Laplacian.)

Common Traps


2023 Paper 1, 2023-P1-Q8c (15 marks)

Prove (ϕF)=ϕF+ϕ(F)\nabla\cdot(\phi\mathbf{F})=\nabla\phi\cdot\mathbf{F}+\phi(\nabla\cdot\mathbf{F}). Also find  ⁣(f(r)rr)\nabla\cdot\!\left(\dfrac{f(r)}{r}\mathbf{r}\right) and verify the identity.

Part 1 — Proof. In Cartesian coordinates:

(ϕF)=i=13(ϕFi)xi=iFiϕxi+ϕiFixi=ϕF+ϕ(F).\nabla\cdot(\phi\mathbf{F}) = \sum_{i=1}^3 \frac{\partial(\phi F_i)}{\partial x_i} = \sum_i F_i\frac{\partial\phi}{\partial x_i} + \phi\sum_i\frac{\partial F_i}{\partial x_i} = \nabla\phi\cdot\mathbf{F} + \phi(\nabla\cdot\mathbf{F}).

(ϕF)=ϕF+ϕF.\boxed{\nabla\cdot(\phi\mathbf{F}) = \nabla\phi\cdot\mathbf{F} + \phi\,\nabla\cdot\mathbf{F}.}

Part 2 — Radial application. Apply with ϕ=f(r)/r\phi = f(r)/r and F=r\mathbf{F} = \mathbf{r}:

 ⁣(f(r)r)=g(r)r^=rf(r)f(r)r2rr=(rf(r)f(r))rr3.\nabla\!\left(\frac{f(r)}{r}\right) = g'(r)\hat r = \frac{rf'(r)-f(r)}{r^2}\cdot\frac{\mathbf{r}}{r} = \frac{(rf'(r)-f(r))\mathbf{r}}{r^3}.

 ⁣(f(r)r)r=(rf(r)f(r))r2r3=rf(r)f(r)r.\nabla\!\left(\frac{f(r)}{r}\right)\cdot\mathbf{r} = \frac{(rf'(r)-f(r))|\mathbf{r}|^2}{r^3} = \frac{rf'(r)-f(r)}{r}.

f(r)rr=3f(r)r.\frac{f(r)}{r}\nabla\cdot\mathbf{r} = \frac{3f(r)}{r}.

 ⁣(f(r)rr)=f(r)+2f(r)r.\boxed{\nabla\cdot\!\left(\frac{f(r)}{r}\mathbf{r}\right) = f'(r) + \frac{2f(r)}{r}.}

Part 3 — Direct verification. Compute x(xf(r)/r)\partial_x(xf(r)/r) directly using xr=x/r\partial_x r = x/r:

x ⁣(xf(r)r)=f(r)r+x2(rf(r)f(r))r3.\frac{\partial}{\partial x}\!\left(\frac{xf(r)}{r}\right) = \frac{f(r)}{r} + \frac{x^2(rf'(r)-f(r))}{r^3}.

Sum over x,y,zx,y,z: 3f(r)/r+r2(rf(r)f(r))/r3=f(r)+2f(r)/r3f(r)/r + r^2(rf'(r)-f(r))/r^3 = f'(r) + 2f(r)/r ✓.

Common Traps


wave-equation-derivation (1 question(s); 2025)

Recognition Cues

Solution Template

  1. Take curl of one Maxwell equation (e.g., ×E=H/t\nabla\times\mathbf{E} = -\partial\mathbf{H}/\partial t).
  2. Swap curl and time derivative on the right; substitute the other Maxwell equation.
  3. Apply the curl-curl identity ×(×E)=(E)2E\nabla\times(\nabla\times\mathbf{E}) = \nabla(\nabla\cdot\mathbf{E}) - \nabla^2\mathbf{E} on the left.
  4. Use E=0\nabla\cdot\mathbf{E} = 0 to drop the first term; conclude 2E=2E/t2\nabla^2\mathbf{E} = \partial^2\mathbf{E}/\partial t^2.
  5. Repeat for H\mathbf{H}.

Worked Example

2025 Paper 1, 2025-P1-Q6c-ii (10 marks)

If E=0\nabla\cdot\mathbf{E}=0, H=0\nabla\cdot\mathbf{H}=0, ×E=H/t\nabla\times\mathbf{E}=-\partial\mathbf{H}/\partial t, ×H=E/t\nabla\times\mathbf{H}=\partial\mathbf{E}/\partial t, show 2E=2E/t2\nabla^2\mathbf{E}=\partial^2\mathbf{E}/\partial t^2 and 2H=2H/t2\nabla^2\mathbf{H}=\partial^2\mathbf{H}/\partial t^2.

Wave equation for E\mathbf{E}. Take ×\nabla\times of ×E=H/t\nabla\times\mathbf{E} = -\partial\mathbf{H}/\partial t:

×(×E)=t(×H)=t ⁣(Et)=2Et2.\nabla\times(\nabla\times\mathbf{E}) = -\frac{\partial}{\partial t}(\nabla\times\mathbf{H}) = -\frac{\partial}{\partial t}\!\left(\frac{\partial\mathbf{E}}{\partial t}\right) = -\frac{\partial^2\mathbf{E}}{\partial t^2}.

Apply the curl-curl identity with E=0\nabla\cdot\mathbf{E} = 0:

(E0)2E=2Et2.\nabla(\underbrace{\nabla\cdot\mathbf{E}}_{0}) - \nabla^2\mathbf{E} = -\frac{\partial^2\mathbf{E}}{\partial t^2}.

2E=2Et2.\boxed{\nabla^2\mathbf{E} = \frac{\partial^2\mathbf{E}}{\partial t^2}.}

Wave equation for H\mathbf{H}. Take ×\nabla\times of ×H=E/t\nabla\times\mathbf{H} = \partial\mathbf{E}/\partial t:

×(×H)=t(×E)=t ⁣(Ht)=2Ht2.\nabla\times(\nabla\times\mathbf{H}) = \frac{\partial}{\partial t}(\nabla\times\mathbf{E}) = \frac{\partial}{\partial t}\!\left(-\frac{\partial\mathbf{H}}{\partial t}\right) = -\frac{\partial^2\mathbf{H}}{\partial t^2}.

Apply curl-curl with H=0\nabla\cdot\mathbf{H}=0:

2H=2Ht22H=2Ht2.-\nabla^2\mathbf{H} = -\frac{\partial^2\mathbf{H}}{\partial t^2} \qquad\Longrightarrow\qquad \boxed{\nabla^2\mathbf{H} = \frac{\partial^2\mathbf{H}}{\partial t^2}.}

Common Traps

Marks-Aware Writing

A 12-mark curl-curl proof must: compute the curl of the curl by components; insert the ±x2v1\pm\partial_x^2 v_1 term with justification; complete both target expressions; invoke cyclic symmetry. Skipping the ±\pm insertion and stating the result by pattern-matching scores at most 5 marks.

A 15-mark divergence product rule answer must: give the Cartesian proof (4–5 marks); compute (f(r)r/r)\nabla\cdot(f(r)\mathbf{r}/r) via the identity (5–6 marks); verify directly (3–4 marks).

A 10-mark wave-equation derivation must: take curl of one Maxwell equation; swap ×\nabla\times and t\partial_t; substitute the other equation; apply curl-curl; drop zero divergence. Each step is 2 marks.

Practice Set

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