312 Derivation of Curl
\(\displaystyle \operatorname{curl} \mathbf{F} = \nabla \times \mathbf{F} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ \dfrac{\partial}{\partial x} & \dfrac{\partial}{\partial y} & \dfrac{\partial}{\partial z} \\ F_{x} & F_{y} & F_{z} \end{vmatrix}\)
\[ \begin{align*} \mathbf{F} &= F_x\mathbf{i}+F_y\mathbf{j}+F_z\mathbf{k} \end{align*} \]
where
- \(\mathbf{F}\) is a vector field.
- \(F_x\) is the \(x\)-component of \(\mathbf{F}\).
- \(F_y\) is the \(y\)-component of \(\mathbf{F}\).
- \(F_z\) is the \(z\)-component of \(\mathbf{F}\).
- \(\mathbf{i}\) is the unit vector along \(x\).
- \(\mathbf{j}\) is the unit vector along \(y\).
- \(\mathbf{k}\) is the unit vector along \(z\).
\[ \begin{align*} X &= \dfrac{\partial F_z}{\partial y}-\dfrac{\partial F_y}{\partial z} \\ Y &= \dfrac{\partial F_x}{\partial z}-\dfrac{\partial F_z}{\partial x} \\ Z &= \dfrac{\partial F_y}{\partial x}-\dfrac{\partial F_x}{\partial y} \end{align*} \]
where
- \(X\) is the differential component along \(x\).
- \(Y\) is the differential component along \(y\).
- \(Z\) is the differential component along \(z\).
- \(x\), \(y\), \(z\) are Cartesian coordinates.
- \(\partial\) denotes partial differentiation.
\[ \begin{align*} \mathbf{R} &= X\mathbf{i}+Y\mathbf{j}+Z\mathbf{k} \end{align*} \]
where
- \(\mathbf{R}\) is the resulting vector field.
- \(X\), \(Y\), \(Z\) are its Cartesian components.
\[ \begin{align*} \mathbf{R} &= \biggl(\dfrac{\partial F_z}{\partial y}-\dfrac{\partial F_y}{\partial z}\biggr)\mathbf{i} \\ &\quad +\biggl(\dfrac{\partial F_x}{\partial z}-\dfrac{\partial F_z}{\partial x}\biggr)\mathbf{j} \\ &\quad +\biggl(\dfrac{\partial F_y}{\partial x}-\dfrac{\partial F_x}{\partial y}\biggr)\mathbf{k} \end{align*} \]
\[ \begin{align*} \operatorname{curl}\mathbf{F} &= \biggl(\dfrac{\partial F_z}{\partial y}-\dfrac{\partial F_y}{\partial z}\biggr)\mathbf{i} \\ &\quad +\biggl(\dfrac{\partial F_x}{\partial z}-\dfrac{\partial F_z}{\partial x}\biggr)\mathbf{j} \\ &\quad +\biggl(\dfrac{\partial F_y}{\partial x}-\dfrac{\partial F_x}{\partial y}\biggr)\mathbf{k} \end{align*} \]
where
- \(\operatorname{curl}\mathbf{F}\) is the curl of \(\mathbf{F}\).
- Each coefficient is a Cartesian curl component.
\[ \begin{align*} (\operatorname{curl}\mathbf{F})_x &= \dfrac{\partial F_z}{\partial y}-\dfrac{\partial F_y}{\partial z} \\ (\operatorname{curl}\mathbf{F})_y &= \dfrac{\partial F_x}{\partial z}-\dfrac{\partial F_z}{\partial x} \\ (\operatorname{curl}\mathbf{F})_z &= \dfrac{\partial F_y}{\partial x}-\dfrac{\partial F_x}{\partial y} \end{align*} \]
where
- \((\operatorname{curl}\mathbf{F})_x\) is the \(x\)-component.
- \((\operatorname{curl}\mathbf{F})_y\) is the \(y\)-component.
- \((\operatorname{curl}\mathbf{F})_z\) is the \(z\)-component.
\[ \begin{align*} \mathbf{a} &= a_1\mathbf{i}+a_2\mathbf{j}+a_3\mathbf{k} \\ \mathbf{b} &= b_1\mathbf{i}+b_2\mathbf{j}+b_3\mathbf{k} \end{align*} \]
where
- \(\mathbf{a}\) is the first vector.
- \(\mathbf{b}\) is the second vector.
- \(a_1\), \(a_2\), \(a_3\) are components of \(\mathbf{a}\).
- \(b_1\), \(b_2\), \(b_3\) are components of \(\mathbf{b}\).
\[ \begin{align*} \mathbf{a}\times\mathbf{b} &= (a_2b_3-a_3b_2)\mathbf{i} \\ &\quad +(a_3b_1-a_1b_3)\mathbf{j} \\ &\quad +(a_1b_2-a_2b_1)\mathbf{k} \end{align*} \]
where
- \(\mathbf{a}\times\mathbf{b}\) is the cross product.
- Each coefficient is a Cartesian component.
\[ \begin{align*} \nabla &= \mathbf{i}\dfrac{\partial}{\partial x} \\ &\quad +\mathbf{j}\dfrac{\partial}{\partial y} \\ &\quad +\mathbf{k}\dfrac{\partial}{\partial z} \end{align*} \]
where
- \(\nabla\) is the vector differential operator.
- \(\dfrac{\partial}{\partial x}\) differentiates with respect to \(x\).
- \(\dfrac{\partial}{\partial y}\) differentiates with respect to \(y\).
- \(\dfrac{\partial}{\partial z}\) differentiates with respect to \(z\).
\[ \begin{align*} \mathbf{a} &= \nabla \\ \mathbf{b} &= \mathbf{F} \end{align*} \]
\[ \begin{align*} \nabla\times\mathbf{F} &= \biggl(\dfrac{\partial F_z}{\partial y}-\dfrac{\partial F_y}{\partial z}\biggr)\mathbf{i} \\ &\quad +\biggl(\dfrac{\partial F_x}{\partial z}-\dfrac{\partial F_z}{\partial x}\biggr)\mathbf{j} \\ &\quad +\biggl(\dfrac{\partial F_y}{\partial x}-\dfrac{\partial F_x}{\partial y}\biggr)\mathbf{k} \end{align*} \]
\[ \begin{align*} \operatorname{curl}\mathbf{F} &= \nabla\times\mathbf{F} \end{align*} \]
where
- \(\nabla\) supplies the differential operators.
- \(\mathbf{F}\) supplies the field components.
- \(\times\) applies the cross-product rule.
\[ \begin{align*} \mathbf{a}\times\mathbf{b} &= \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ a_1 & a_2 & a_3 \\ b_1 & b_2 & b_3 \end{vmatrix} \end{align*} \]
where
- The first row contains Cartesian unit vectors.
- The second row contains \(\mathbf{a}\) components.
- The third row contains \(\mathbf{b}\) components.
\[ \begin{align*} \nabla\times\mathbf{F} &= \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ \dfrac{\partial}{\partial x} & \dfrac{\partial}{\partial y} & \dfrac{\partial}{\partial z} \\ F_x & F_y & F_z \end{vmatrix} \end{align*} \]
where
- The first row contains Cartesian unit vectors.
- The second row contains differential operators.
- The third row contains field components.
- The determinant is symbolic.
\[ \begin{align*} \nabla\times\mathbf{F} &= \mathbf{i} \begin{vmatrix} \dfrac{\partial}{\partial y} & \dfrac{\partial}{\partial z} \\ F_y & F_z \end{vmatrix} \\ &\quad - \mathbf{j} \begin{vmatrix} \dfrac{\partial}{\partial x} & \dfrac{\partial}{\partial z} \\ F_x & F_z \end{vmatrix} \\ &\quad + \mathbf{k} \begin{vmatrix} \dfrac{\partial}{\partial x} & \dfrac{\partial}{\partial y} \\ F_x & F_y \end{vmatrix} \end{align*} \]
\[ \begin{align*} \nabla\times\mathbf{F} &= \biggl(\dfrac{\partial F_z}{\partial y}-\dfrac{\partial F_y}{\partial z}\biggr)\mathbf{i} \\ &\quad - \biggl(\dfrac{\partial F_z}{\partial x}-\dfrac{\partial F_x}{\partial z}\biggr)\mathbf{j} \\ &\quad + \biggl(\dfrac{\partial F_y}{\partial x}-\dfrac{\partial F_x}{\partial y}\biggr)\mathbf{k} \end{align*} \]
\[ \begin{align*} \nabla\times\mathbf{F} &= \biggl(\dfrac{\partial F_z}{\partial y}-\dfrac{\partial F_y}{\partial z}\biggr)\mathbf{i} \\ &\quad + \biggl(\dfrac{\partial F_x}{\partial z}-\dfrac{\partial F_z}{\partial x}\biggr)\mathbf{j} \\ &\quad + \biggl(\dfrac{\partial F_y}{\partial x}-\dfrac{\partial F_x}{\partial y}\biggr)\mathbf{k} \end{align*} \]
Hence,
\(\displaystyle \operatorname{curl} \mathbf{F} = \nabla \times \mathbf{F} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ \dfrac{\partial}{\partial x} & \dfrac{\partial}{\partial y} & \dfrac{\partial}{\partial z} \\ F_{x} & F_{y} & F_{z} \end{vmatrix}\)

312.1 References
MacCullagh, J. An Essay towards a Dynamical Theory of Crystalline Reflexion and Refraction. Transactions of the Royal Irish Academy, Vol. XXI. Read 9 December 1839; published 1846.
Lunney, J. G. James MacCullagh. Trinity College Dublin, 2015.
Kreyszig, E. Advanced Engineering Mathematics, 10th ed. Wiley, 2011.
Riley, K. F., Hobson, M. P., & Bence, S. J. Mathematical Methods for Physics and Engineering.
- Chain Rule
- Cross Product
- Curl
- Curve
- Definite Integral
- Derivation of Basic Jacobian
- Derivation of Curl
- Derivation of Divergence
- Derivation of Grad
- Derivation of Jacobian
- Derivation of Legendre Transform
- Derivation of Taylor Expansion
- Divergence
- Dot Product
- Envelope of Tangent Lines
- General Functions
- Gradient
- Improper Integral
- Indefinite Integral
- Jacobian
- Legendre Transform
- Limit
- Line Integral
- Notes
- Parameterization
- Partial Derivative
- Real Parameter
- Scalar Projection
- Smooth Curve
- Vector Calculus
- Vector Differential Operator
- Vector Field
- Vector Projection