In modern mathematics the differential of a function is the linear transformation associated
to each point in the domain of the function. This linear tranformation is given by the derivative.
For example if
is given by
the the derivative is
. At
the function value is
but
is the linear transformation
.
Another if
at
it differential is the gradient
![{\displaystyle \left[{\frac {\partial F(a,b)}{\partial x}},{\frac {\partial F(a,b)}{\partial y}}\right]}](https://services.fandom.com/mathoid-facade/v1/media/math/render/svg/cdb0f1fb93f5556c5ca37f879d850c61e40eac95)
and determines the linear tranformation
![{\displaystyle \left[{\frac {\partial F(a,b)}{\partial x}},{\frac {\partial F(a,b)}{\partial y}}\right]:\mathbb {R} ^{2}\to \mathbb {R} }](https://services.fandom.com/mathoid-facade/v1/media/math/render/svg/b179cd6e7ced10243ed027a5b1b7c9107f1e8f6d)
given by

For a vector function
let us ilustrate with another beispiel:
Suppose that

then

is the Jacobian. So at
the differential is the map
