The following identities are important in vector calculus:
Contents
- Gradient
- Divergence
- Curl
- Laplacian
- Special notations
- Distributive properties
- Product rule for the gradient
- Product of a scalar and a vector
- Quotient rule
- Chain rule
- Vector dot product
- Vector cross product
- Curl of the gradient
- Divergence of the curl
- Divergence of the gradient
- Curl of the curl
- Addition and multiplication
- Second derivatives
- Third derivatives
- Integration
- Surfacevolume integrals
- Curvesurface integrals
- References
Gradient
In the three-dimensional Cartesian coordinate system, the gradient of some function
where i, j, k are the standard unit vectors.
The gradient of a tensor field,
and is a tensor field of order n + 1. In particular, if the tensor field has order 0 (i.e. a scalar),
is a vector field.
Divergence
In three-dimensional Cartesian coordinates, the divergence of a continuously differentiable vector field
The divergence of a tensor field,
and is a contraction to a tensor field of order n − 1. Specifically, the divergence of a vector is a scalar. The divergence of a higher order tensor field may be found by decomposing the tensor field into a sum of outer products, thereby allowing the use of the identity,
where
Curl
In Cartesian coordinates, for
where i, j, and k are the unit vectors for the x-, y-, and z-axes, respectively.
For a 3-dimensional vector field
or in Einstein notation as:
where ε is the Levi-Civita symbol.
Laplacian
In Cartesian coordinates, the Laplacian of a function
For a tensor field,
and is a tensor field of the same order.
Special notations
In Feynman subscript notation,
where the notation ∇B means the subscripted gradient operates on only the factor B.
A less general but similar idea is used in geometric algebra where the so-called Hestenes overdot notation is employed. The above identity is then expressed as:
where overdots define the scope of the vector derivative. The dotted vector, in this case B, is differentiated, while the (undotted) A is held constant.
For the remainder of this article, Feynman subscript notation will be used where appropriate.
Distributive properties
Product rule for the gradient
The gradient of the product of two scalar fields
Product of a scalar and a vector
Quotient rule
Chain rule
Vector dot product
where JA denotes the Jacobian of A.
Alternatively, using Feynman subscript notation,
As a special case, when A = B,
Vector cross product
Curl of the gradient
The curl of the gradient of any twice-differentiable scalar field
Divergence of the curl
The divergence of the curl of any vector field A is always zero:
Divergence of the gradient
The Laplacian of a scalar field is defined as the divergence of the gradient:
Note that the result is a scalar quantity.
Curl of the curl
Here,∇2 is the vector Laplacian operating on the vector field A.
Addition and multiplication
Gradient
Divergence
Curl
Second derivatives
Third derivatives
Integration
Below, the curly symbol ∂ means "boundary of".
Surface–volume integrals
In the following surface–volume integral theorems, V denotes a 3d volume with a corresponding 2d boundary S = ∂V (a closed surface):
Curve–surface integrals
In the following curve–surface integral theorems, S denotes a 2d open surface with a corresponding 1d boundary C = ∂S (a closed curve):
Integration around a closed curve in the clockwise sense is the negative of the same line integral in the counterclockwise sense (analogous to interchanging the limits in a definite integral):