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There is a formula connecting the exterior derivative and the Lie bracket d(X,Y)=X(Y)Y(X)([X,Y]).
1 The exterior derivative. d f = f x d x + f y d y + f z d z . Since we now think of as a zero-form, we see that the operator takes a zero-form and outputs a one-form.
Just like the single variable case it is used for a local approximation of the function. If your function is differentiable then the total derivative is known as a gradient. [4] and directional derivatives are the dot product of the gradient with your desired direction. The function is then locally approximated as.
Total differential and direction derivative is bit different. If you have scalar function, and you take total derivative in strict sense, it is a scalar value, whereas directional derivative involves vectors.
It generalizes the gradient of a function. And Stokes Theorem generalizes the fundamental theorem of calculus. Exterior refers to the exterior algebra on which d is defined, and differential refers to the fact that it reduces to the ordinary differential of scalar fields when restricted to 0 forms.
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In general, the Jacobian gives all the possible information on the vector field up to the first order of approximation (that is, up to an o(‖x‖)), while the exterior derivative does not (even if it doesnt mean it is less useful in general, they are in principle very different things).
Total derivative (as opposed to partial derivative) is applied to functions. In a coordinate-free approach the result of total derivative is a differential form of degree 1. Exterior differentiation is total derivative extended to differential forms (of various degrees, up to the dimension of the space.
In terms of axioms. The exterior derivative is defined to be the unique ℝ-linear mapping from k-forms to (k + 1)-forms that has the following properties: df is the differential of f for a 0-form f . d(df ) = 0 for a 0-form f . d( ) = d + (1)p ( d) where is a p-form.

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