Jump to content

User:Bob K31416/FD

From Wikipedia, the free encyclopedia

.

[edit]

A functional derivative relates a change in a functional to a change in a function that the functional depends on. For example, consider a functional F [ρ] that depends on the function ρ(x). Consider a small change in ρ(x) that adds to it a function δρ(x). The corresponding change in F [ρ] is,

.

The functional derivative δF/δρ relates δF to δρ.


.

[edit]

Given a manifold M representing (continuous/smooth/with certain boundary conditions/etc.) functions ρ and a functional F defined as

the functional derivative of F[ρ], denoted δF/δρ, is defined by[1]

where εφ is the variation of ρ, and φ is an arbitrary function. These equations come from the expansion of the integrand of a functional in a power series. For example, consider the functional

where ρ′(x) ≡ dρ/dx. If ρ is varied by adding to it εφ, then the resulting integrand expanded in a Taylor series in powers of εφ is,

Integrating both sides,




then the change in the value of J to first order in δf can be expressed as

The coefficient of δf(x), denoted as δJ/δf(x), is called the functional derivative of J with respect to f at the point x.[2]


The differential (or variation or first variation) of the functional F[ρ] is,[3] [Note 1]

where δρ(x) = εϕ(x) is the variation of ρ(x). This is similar in form to the total differential of a function F(ρ1, ρ2, ... , ρn),

where ρ1, ρ2, ... , ρn are independent variables. Comparing the last two equations, the functional derivative δF/δρ(x) has a role similar to that of the partial derivative ∂F/∂ρi , where the variable of integration x is like a continuous version of the summation index i.[2]

Definition

[edit]

There are several approaches to defining the functional derivative: coefficient in a first order term;[2] derivative of a function;[2] ratio to an area.[4]

  1. ^ Called differential in (Parr & Yang 1989, p. 246) harv error: multiple targets (2×): CITEREFParrYang1989 (help), variation or first variation in (Courant & Hilbert 1953, p. 186), and variation or differential in (Gelfand & Fomin 2000, p. 11, § 3.2) harv error: multiple targets (2×): CITEREFGelfandFomin2000 (help).

References

[edit]
  • Parr, R. G.; Yang, W. (1989). "Appendix A, Functionals". Density-Functional Theory of Atoms and Molecules. New York: Oxford University Press. pp. 246–54. ISBN 978-0195042795. {{cite book}}: External link in |title= (help)

Footnotes

[edit]
  1. ^ (Parr & Yang 1989, p. 246, Eq. A.2) harv error: multiple targets (2×): CITEREFParrYang1989 (help).
  2. ^ a b c d (Parr & Yang 1989, p. 246) harv error: multiple targets (2×): CITEREFParrYang1989 (help). Cite error: The named reference "ParrYangP246" was defined multiple times with different content (see the help page).
  3. ^ (Parr & Yang 1989, p. 246, Eq. A.1) harv error: multiple targets (2×): CITEREFParrYang1989 (help).
  4. ^ (Gelfand & Fomin 2000, pp. 27–29) harv error: multiple targets (2×): CITEREFGelfandFomin2000 (help)




Parr, R. G.; Yang, W. (1989). Density-Functional Theory of Atoms and Molecules. New York: Oxford University Press. ISBN 978-0195042795.

_________________

  • p. 246

The differential of a functional is the part of the difference F [ f + δf ] − F [ f ] that depends on δf  linearly. Each δf (x) may contribute to this difference, so we write, for very small δf,

where the quantity δF / δf (x) is the functional derivative of F with respect to f at the point x. Equation (A.1) is the fule for operating on δf (x) to give a number δF (x), and is the extension to continuous variables of the formula for the total differential of a function F (f1, f2, ... ):  dF = Σi (∂F / ∂fi ) dfi .



Gelfand, I. M.; Fomin, S. V. (2000). Silverman, Richard A. (ed.). Calculus of variations (Unabridged repr. ed.). Mineola, N.Y.: Dover Publications. p. 27. ISBN 978-0486414485.

_________________

  • pp. 11–12

  3.2. We now introduce the concept of the variation (or differential) of a functional. Let J[ y] be a functional defined on some normed linear space, and let

be its increment, corresponding to the increment h = h(x) of the "independent variable" y = y(x). If y is fixed, ΔJ[h] is a functional of h, in general a nonlinear functional. Suppose that

where φ[h] is a linear functional and ε → 0 as ||h|| → 0. Then the functional J[ y] is said to be differentiable, and the principal linear part of the increment ΔJ[h], i.e., the linear functional φ[h] which differs from ΔJ[h] by an infinitesimal of order higher than 1 relative to ||h||, is called the variation (or differential) of J[ y] and is denoted by δJ[h].[1]

  1. ^ Strictly speaking, of course, the increment and the variation of J[ y], are functionals of two arguments y and h, and to emphasize this fact, we might write ΔJ[ y; h] = δJ[ y; h] + ε||h||.

_________________

  • p. 27

In Sec. 3.2 we introduced the concept of the differential of a functional. We now introduce the concept of the variational ( or functional) derivative, which plays the same role for functionals as the concept of the partial derivative plays for functions of n variables.

_________________

  • pp.28–29

In the general case, the variational derivative is defined as follows: Let J[ y] be a functional depending on the function y(x), and suppose we give y(x) an increment h(x) which is different from zero only in the neighborhood of a point x0. Dividing the corresponding increment J[ y + h] − J[ y] of the functional by the area Δσ lying between the curve y = h(x) and the x-axis,[1] we obtain the ratio

Next, we let the area Δσ go to zero in such a way that both max |h(x)| and the length of the interval in which h(x) is nonvanishing go to zero. Then, if the ratio (34) converges to a limit as Δσ → 0, this limit is called the variational derivative of the functional J[ y] at the point x0 [for the curve y = y(x)], and is denoted by


  1. ^ Δσ can also be regarded as the area between the curves y = y (x) and y = y (x) + h (x) .




Mathews, Jon; Walker, RL (1965). Mathematical Methods of Physics. New York, New York.{{cite book}}: CS1 maint: location missing publisher (link)

_________________

  • p. 306


The left-hand side of this equation is often written δF / δy, and called the variational, or functional, derivative of F with respect to y.[1]

  1. ^ Alternatively, one sometimes defines the expression on the left side of Eq. (12-8) as the variational derivative δI / δy of the corresponding functional I.


.

[edit]

03:02, 21 May 2006‎ 66.41.8.178 :

Given a functional of the form

the functional derivative can be written as

19:55, 20 August 2006‎ Md2perpe: Removed


05:59, 29 September 2006‎ DrF :

In the more general case that the functional depends on higher order derivatives, i.e.,

an analogous application of the definition yields


00:53, 7 November 2006‎ GuidoGer:

In the more general case that the functional depends on higher order derivatives, i.e.,

where is a vector whose components are all partial derivative operators of order , i.e. with , an analogous application of the definition yields





â î ê

1, ê2, ê3

    where    

In terms of unit vectors along the axes of a cartesian coordinate system and partial derivatives ρx = ∂ρ/∂x, ρy = ∂ρ/∂y, ρz = ∂ρ/∂z,



F[ρ] — {{math|''F''[}}''ρ'']


F[ρ] — {{math|''F''[}}ρ]


F[ρ] — {{math|''F''}}[ρ]


F[ρ] — {{math|''F''[ρ]}}




Expanding the integrand in a Taylor series in powers of δρ and δρ,[1]

where R2 is the remainder after the first order terms. Using an identity for the integral of the third term in the integrand is,

Using Green's first identity and the condition δρ = 0 on the boundary of the region of integration,

Substituting the integrand of I3 for the third term in the integrand of TW[ρ + δρ],

Then the difference TW[ρ+δρ] − TW[ρ] to first order in δρ is,

The functional derivative is the coefficient of δρ in the integrand,

  1. ^ Hildebrand, Francis B. (1962). Advanced Calculus for Applications. Englewood Cliffs, New Jersey: Prentice-Hall, Inc. p. 349. ISBN 978-0130111630.