of , if is differentiable at . This means that the function that maps to is the best linear approximation of for all points close to . The linear map is known as the derivative or the differential of at .

When , the Jacobian matrix is square, so its determinant is a well-defined function of , known as the Jacobian determinant of . It carries important information