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The Calculus of Variations - University of Minnesota

The calculus of variations is a field of mathematics concerned with minimizing (or maximizing) functionals (that is, real-valued functions whose inputs are functions) The calculus of variations has a wide range of applications in physics, engineering, applied and pure mathematics, and is intimately connected to partial differential equations



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calculus of variations Its constraints are di erential equations, and Pontryagin’s maximum principle yields solutions That is a whole world of good mathematics Remark To go from the strong form to the weak form, multiply by v and integrate For matrices the strong form is ATCAu = f The weak form is vTATCAu = vTf for all v



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16Calculus of Variations 3 In all of these cases the output of the integral depends on the path taken It is a functional of the path, a scalar-valued function of a function variable Denote the argument by square brackets I[y] = Z b a dxF x;y(x);y0(x) (16:5) The speci c Fvaries from problem to problem, but the preceding examples all have



The Calculusof Variations

calculus of variations has continued to occupy center stage, witnessing major theoretical advances, along with wide-ranging applications in physics, engineering and all branches of mathematics Minimization problems that can be analyzed by the calculus of variations serve to char-



Calculus of Variations - Physics Courses

Calculus of Variations 1 Functional Derivatives The fundamental equation of the calculus of variations is the Euler-Lagrange equation d dt ∂f ∂x˙ − ∂f ∂x = 0 There are several ways to derive this result, and we will cover three of the most common approaches Our first method I think gives the most intuitive



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The Calculus of Variations The variational principles of mechanics are rmly rooted in the soil of that great century of Liberalism which starts with Descartes and ends with the French Revolution and which has witnessed the lives of Leibniz, Spinoza, Goethe, and Johann Sebastian Bach It is the only period of cosmic thinking in the entire



Calculus of Variations - Physics Courses

5 3 Examples from the Calculus of Variations Here we present three useful examples of variational calculus as applied to problems in mathematics and physics 5 3 1 Example 1 : minimal surface of revolution Consider a surface formed by rotating the function y(x) about the x-axis The area is then A y(x) = Zx2 x1 dx2πy s 1+ dy dx 2, (5 23)

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Calculus of Variations - Physics Courses

Calculus of Variations

Joel G. Broida

University of Colorado, Boulder

Copyright

c?2009 by Joel G. Broida. All rights reserved.

October 1, 2009

0

Calculus of Variations

1 Functional Derivatives

The fundamental equation of the calculus of variations is the Euler-Lagrange equation d dt? ∂f∂x? -∂f∂x= 0. There are several ways to derive this result, and we will cover three of the most common approaches. Our first method I think gives the most intuitive treatment, and this will then serve as the model for the othermethods that follow. To begin with, recall that a (real-valued)functiononRnis a mapping f:U?Rn→R. In other words,ftakes apointin some subsetUofRn and gives back a number, i.e., a point inR. In particular, the domain offis a subset ofRn. We write this mapping asf(x). In contrast to this, afunctionalFis a "function" whose domain is the space ofcurvesinRn, and hence it depends on theentire curve, not just a single point. Very loosely speaking, we will take acurveto be a differentiable mappingy:U?Rn→Rm. So a curve is just a function defined on some interval, and a functional is a "function of a function." For example, lety(x) be a real valued curve defined on the interval [x1,x2]?

R. Then we can define a functionalF[y] by

F[y] :=?

x2 x

1[y(x)]2dx?R.

(The notationF[y] is the standard way to denote a functional.) So a functional is a mapping from the space of curves into the real numbers. We now want to define the derivative of such a functional. There are several ways to go about this, and we will take the most intuitive approach that is by analogy with the usual notion of derivative. So, letf(t) be a function of a single real variable, and recall the definition of the derivativef?(t): f ?(t) =df dt(t) = limh→0f(t+h)-f(t)h.(1) This is equivalent to saying thatfis differentiable attif there exists some numberL(called thederivativeoffatt) and a function?with the property that lim h→0?(h) h= 0 such that f(t+h) =f(t) +Lh+?(h).(2) 1 Before proving the equivalence of these formulations, let me make two re- marks. First, we say that such a function?(h) isO(h2) (orderh2). And second, note that the numberLis just a linear map fromRtoR. (In this case, L:R→Ris defined byL(h) =Lhforh?R.) In fact, it is this formulation of the derivative that is used to generalize differentiation tofunctions fromRnto R m, in which case the linear mapLbecomes the Jacobian matrix (∂yi/∂xj). Let us now show that equations (1) and (2) are equivalent. Note that if we start from (1) anddefinethe function?by ?(h) =? f(t+h)-f(t)-f?(t)hforh?= 0

0 forh= 0

then f(t+h) =f(t) +Lh+?(h) whereL=f?(t) and (by equation (1)) lim?(h)/h= 0. Conversely, if we start from equation (2), then f(t+h)-f(t) h=L+?(h)h and taking the limit ash→0 we see thatf?(t) =L. Now let us return to functionals. Letγbe a curve in the plane:

γ={(t,x) :x(t) =xfort0< t < t1}.

Let?γbe an approximation toγ, i.e.,

?γ={(t,x) :x=x(t) +h(t)} for some functionh(t). We abbreviate this by?γ=γ+h. LetFbe a functional and consider the differenceF[?γ]-F[γ] =F[γ+h]-F[γ]. t0t1x t

γeγ

We say thatFisdifferentiableif there exists a linear mapL(i.e., for fixedγ we haveL(h1+h2) =L(h1)+L(h2) andL(ch) =cL(h)) and a remainderR(h,γ) with the property thatR(h,γ) =O(h2) (i.e., for|h|< εand|h?|=|dh/dt|< ε we have|R|F[γ+h]-F[γ] =L(h) +R(h,γ) (3) 2 The linear part of equation (3),L(h), is called thedifferentialofF. We now want to prove the following theorem. As is common, we will denote the derivative with respect totby a dot, although in this casetis not necessarily the time - it is simply the independent variable. Theorem 1.Letγbe a curve in the plane, and letf=f(x(t),x(t),t)be a differentiable function. Then the functional

F[γ] =?

t1 t

0f(x(t),x(t),t)dt

is differentiable and its derivative is given by

L(h) =?

t1 t 0? ∂f ∂x-ddx? ∂f∂x?? hdt+∂f∂xh????t 1 t 0(4) Proof.Sincefis a differentiable function we have (using equation (2) in the case wherefis a function of the two variablesxand x)quotesdbs_dbs2.pdfusesText_3