Basic Definitions
Two main types of functions #
Scalar point function #
$$f(x,y,z)=k$$
A value is associated for every point in space.
Vector point function #
$$f(x,y,z)=<.,.,.>$$
A vector is associated with every point in space.
Gradient #
Gradient operator $$ \vec{\nabla}:<\frac{\partial }{\partial x},\frac{\partial }{\partial y},\frac{\partial }{\partial z}> $$
Gradient of f:
$$ \vec{\nabla}:<\frac{\partial f}{\partial x},\frac{\partial f}{\partial y},\frac{\partial f}{\partial z}> $$
Physical interpretation #
Let $r=\phi(x,y,z)$ be a scalar point function.
By definition, $$\nabla \phi \cdot \vec{dr}=\delta r$$
If we nudge along the surface, δr=0
So, $\nabla \phi \cdot \vec{dr}=0$
∴ $\nabla \phi$ is perpendicular and hence, it’s normal to the surface