The Total Derivative As A Linear Map
Let be an open subset. Then a function is said to be (totally) differentiable at a point, if there exists a linear map (also denoted Dpf or Df(p)) such that
The linear map is called the (total) derivative or (total) differential of at . A function is (totally) differentiable if its total derivative exists at every point in its domain.
Note that f is differentiable if and only if each of its components is differentiable. For this it is necessary, but not sufficient, that the partial derivatives of each function fj exist. However, if these partial derivatives exist and are continuous, then f is differentiable and its differential at any point is the linear map determined by the Jacobian matrix of partial derivatives at that point.
Read more about this topic: Total Derivative
Famous quotes containing the words total, derivative and/or map:
“Computers are good at swift, accurate computation and at storing great masses of information. The brain, on the other hand, is not as efficient a number cruncher and its memory is often highly fallible; a basic inexactness is built into its design. The brains strong point is its flexibility. It is unsurpassed at making shrewd guesses and at grasping the total meaning of information presented to it.”
—Jeremy Campbell (b. 1931)
“When we say science we can either mean any manipulation of the inventive and organizing power of the human intellect: or we can mean such an extremely different thing as the religion of science the vulgarized derivative from this pure activity manipulated by a sort of priestcraft into a great religious and political weapon.”
—Wyndham Lewis (18821957)
“A map of the world that does not include Utopia is not worth even glancing at, for it leaves out the one country at which Humanity is always landing.”
—Oscar Wilde (18541900)