Field

Work in progress. This note is still being written and incomplete.

1 min read Last updated Tue Aug 18 2026 03:09:13 GMT+0000 (Coordinated Universal Time)

A field is a function that assigns a mathematical object, a scalar, vector, or tensor, to each point in its domain DRnD \subseteq \mathbb{R}^n.

Scalar Field

A real-valued function defined on each points in DRnD \subseteq \mathbb{R}^n.

Vector Field

A vector-valued function defined on each points in DRnD \subseteq \mathbb{R}^n. More on this covered in the vector field note.

Gradient

For ϕ\phi a field of xx, yy, zz, the gradient of ϕ\phi is

ϕ=ϕxi^+ϕyj^+ϕzk^\nabla \phi = \frac{\partial \phi}{\partial x}\hat{i} + \frac{\partial \phi}{\partial y}\hat{j} + \frac{\partial \phi}{\partial z}\hat{k}

ϕ\nabla \phi is the gradient field of ϕ\phi. \nabla is the del operator, or nabla,

=xi^+yj^+zk^\nabla = \frac{\partial}{\partial x}\hat{i} + \frac{\partial}{\partial y}\hat{j} + \frac{\partial}{\partial z}\hat{k}

Laplacian

The Laplacian operator is

2==2x2+2y2+2z2\nabla^2 = \nabla \cdot \nabla = \frac{\partial^2}{\partial x^2} + \frac{\partial^2}{\partial y^2} + \frac{\partial^2}{\partial z^2}

For ϕ\phi a field, the Laplacian of ϕ\phi is

2ϕ=2ϕx2+2ϕy2+2ϕz2\nabla^2 \phi = \frac{\partial^2 \phi}{\partial x^2} + \frac{\partial^2 \phi}{\partial y^2} + \frac{\partial^2 \phi}{\partial z^2}
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