Math 2.0

Calculus of variations and optimal control; optimization Definition

Natural boundary condition

Builds on Integral functional with a Lagrangian densityAdmissible functionFirst variationEuler–Lagrange equationPartial derivative

Definition

Let a<ba < b and A∈ℝA \in \R, and let L ⁣:[a,b]×ℝ×ℝ→ℝL \colon [a, b] \times \R \times \R \to \R, written L(x,z,p)L(x, z, p), be of class C1C^1, with partial derivative LpL_p in pp. Consider the integral functional J(y)=∫abL(x,y,y′) dxJ(y) = \int_a^b L(x, y, y') \, dx on the class of admissible functions y∈C1([a,b])y \in C^1([a, b]) with y(a)=Ay(a) = A and no condition on y(b)y(b). The natural boundary condition at the free end bb is Lp(b,y(b),y′(b))=0.L_p\big(b, y(b), y'(b)\big) = 0. The natural boundary condition at a free end aa is defined in the same way, with aa in place of bb.

Remarks

Let LL be of class C2C^2 and let y∈C2([a,b])y \in C^2([a, b]) minimise JJ on this class. For η∈C1([a,b])\eta \in C^1([a, b]) with η(a)=0\eta(a) = 0, integration by parts in the first variation gives 0=δJ(y;η)=∫ab(Lz−ddxLp)η dx+Lp(b,y(b),y′(b)) η(b).0 = \delta J(y; \eta) = \int_a^b \Big( L_z - \frac{d}{dx} L_p \Big) \eta \, dx + L_p\big(b, y(b), y'(b)\big) \, \eta(b). Variations with η(b)=0\eta(b) = 0 give the Euler–Lagrange equation, so the integral vanishes; a variation with η(b)=1\eta(b) = 1 then gives the natural boundary condition.

Example: let J(y)=∫01(12y′2−y) dxJ(y) = \int_0^1 \big( \frac{1}{2} y'^2 - y \big) \, dx with y(0)=0y(0) = 0 and y(1)y(1) free. The Euler–Lagrange equation is y′′=−1y'' = -1 and the natural boundary condition is y′(1)=0y'(1) = 0. The function y(x)=x−x2/2y(x) = x - x^2/2 satisfies both: y′′=−1y'' = -1, y(0)=0y(0) = 0 and y′(1)=1−1=0y'(1) = 1 - 1 = 0. Non-example: y(x)=xy(x) = x has y(0)=0y(0) = 0, but Lp=y′=1L_p = y' = 1 at x=1x = 1, so it fails the natural boundary condition.

In several variables, for J(u)=∫Ω(12∣∇u∣2−fu) dxJ(u) = \int_\Omega \big( \frac{1}{2} \abs{\nabla u}^2 - f u \big) \, dx with no condition on ∂Ω\partial \Omega, the natural boundary condition is ∂u/∂ν=0\partial u / \partial \nu = 0, where ν\nu is the outer normal.

Reading path

To understand this page from the ground up, read these 9 pages in order. The foundations come first.

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  • no evidence level
  1. Admissible function concept
  2. Euclidean space object
  3. Euler–Lagrange equation concept
  4. First variation concept
  5. Function concept
  6. Integral functional with a Lagrangian density concept
  7. Function of several variables concept
  8. Partial derivative concept
  9. Natural boundary condition definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Calculus_of_variations
About this page
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Kinddefinition
WritingW0 stub
MSC49K05, 49K10, 35A15
DefinesNatural boundary condition
UsesIntegral functional with a Lagrangian density, Admissible function, First variation, Euler–Lagrange equation, Partial derivative

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