Directional derivative

[citation needed] The directional derivative of a multivariable differentiable (scalar) function along a given vector v at a given point x intuitively represents the instantaneous rate of change of the function, moving through x with a direction specified by v. The directional derivative of a scalar function f with respect to a vector v at a point (e.g., position) x may be denoted by any of the following:

[2] If the function f is differentiable at x, then the directional derivative exists along any unit vector v at x, and one has

and using the definition of the derivative as a limit which can be calculated along this path to get:

[5] This definition gives the rate of increase of f per unit of distance moved in the direction given by v. In this case, one has

These include, for any functions f and g defined in a neighborhood of, and differentiable at, p: Let M be a differentiable manifold and p a point of M. Suppose that f is a function defined in a neighborhood of p, and differentiable at p. If v is a tangent vector to M at p, then the directional derivative of f along v, denoted variously as df(v) (see Exterior derivative),

(see Tangent space § Definition via derivations), can be defined as follows.

is given by the difference of two directional derivatives (with vanishing torsion):

It can be argued[7] that the noncommutativity of the covariant derivatives measures the curvature of the manifold:

In the Poincaré algebra, we can define an infinitesimal translation operator P as

(the i ensures that P is a self-adjoint operator) For a finite displacement λ, the unitary Hilbert space representation for translations is[8]

This is a translation operator in the sense that it acts on multivariable functions f(x) as

In standard single-variable calculus, the derivative of a smooth function f(x) is defined by (for small ε)

is the directional derivative along the infinitesimal displacement ε.

We have found the infinitesimal version of the translation operator:

It is evident that the group multiplication law[10] U(g)U(f)=U(gf) takes the form

So suppose that we take the finite displacement λ and divide it into N parts (N→∞ is implied everywhere), so that λ/N=ε.

Then by applying U(ε) N times, we can construct U(λ):

As a technical note, this procedure is only possible because the translation group forms an Abelian subgroup (Cartan subalgebra) in the Poincaré algebra.

We also note that Poincaré is a connected Lie group.

It is a group of transformations T(ξ) that are described by a continuous set of real parameters

The group multiplication law takes the form

For a small neighborhood around the identity, the power series representation

Suppose that U(T(ξ)) form a non-projective representation, i.e.,

is by definition symmetric in its indices, we have the standard Lie algebra commutator:

The generators for translations are partial derivative operators, which commute:

It may be shown geometrically that an infinitesimal right-handed rotation changes the position vector x by

The definitions of directional derivatives for various situations are given below.

It is assumed that the functions are sufficiently smooth that derivatives can be taken.

be a real valued function of the second order tensor

Media related to Directional derivative at Wikimedia Commons

A contour plot of , showing the gradient vector in black, and the unit vector scaled by the directional derivative in the direction of in orange. The gradient vector is longer because the gradient points in the direction of greatest rate of increase of a function.
The angle α between the tangent A and the horizontal will be maximum if the cutting plane contains the direction of the gradient A .