Questions tagged [calculus-of-variations]

This tag is for problems relating to the calculus of variations that deal with maximizing or minimizing functionals. This problem is a generalization of the problem of finding extrema of functions of several variables. In fact, these variables will themselves be functions and we will be finding extrema of “functions of functions” or functionals.

The calculus of variations seeks to minimize or maximize an entire functional's worth of parameters instead of changing just one parameter. It achieves this by applying standard calculus techniques to the integral of a functional, thereby reducing $\mathbb R \to \mathbb R$ to just one parameter $\in\mathbb R$.

In symbols one considers $\displaystyle\max \int f(x) \ker(x)$ $dx$ rather than $\max f(s)$.

Two famous applications of the calculus of variations are the brachistochrone problem and deriving the catenary shape of a rope hanging between two poles.

Some basic problems in the calculus of variations are:

$(i)$ find minimizers

$(ii)$ find necessary conditions which minimizers must satisfy

$(iii)$ find solutions (extremals) which satisfy the necessary conditions

$(iv)$ find sufficient conditions which guarantee that such solutions are minimizers

$(v)$ qualitative properties of minimizers, like regularity properties

$(vi)$ how do the minimizers depend on parameters?

$(vii)$ stability of extremals depending on parameters.

Application: A huge number of problems in the calculus of variations have their origin in physics where one has to minimize the energy associated to the problem under consideration. Nowadays many problems come from economics.

References:

https://en.wikipedia.org/wiki/Calculus_of_variations

http://mathworld.wolfram.com/CalculusofVariations.html

http://www.math.uni-leipzig.de/~miersemann/variabook.pdf

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Calculus of variations on Carter's killer rabbit.

I recently noticed that the classic brainteaser Carter's killer rabbit looks like a problem that can be solved with calculus of variations. I think it would be easiest in polar coordinates. Here is my modification: Assume a rabbit starts in the…
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When the Euler-Lagrange equation reduces to 0=0

I've gotten the functional $$\int_a^b(y^2+2xyy')dx$$ with Dirichlet boundary conditions. Applying the Euler-Lagrange equation I get: $$0=\frac{\partial f}{\partial y}-\frac{d}{dx}\frac{\partial f}{\partial y'}= 2y+2xy' -\frac{d}{dx}[2xy] =…
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What is meant by Lyapunov functional?

In the context of variational calculus, what is meant by 'Lyapunov functional'? Frankly speaking, in calculus of variation, we are searching for some $u(x)$ to put in $F(x,u(x),u'(x))$ in order to minimize $$ J(u):=\int_a^b F(x,u(x),u'(x))\,…
H. Hawks
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Difficulty in solving calculus of variations problem.

I am solving a problem on calculus of variation in which $F(x,y,y')$ is given as $F(x,y,y')=e^yy'^2$ After solving Euler equation I got this $2y'' +2y'-y'^2=0$. I don't know how to proceed further. Please guide me. Thanks in advance.
zafran
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A "bounded" constraint in a variational problem

Is there any standard approach to solve the following kind of variational problem? Maximize $F=\int_0 ^1 L(x,y,y')dx $ subject to the constraint $|\int_0 ^1 M(x,y,y')dx| \lt k$ where $y$ is the function of $x$ to be solved for. I can think…
Ganesh
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Divergence identity

From PDE Evans (2nd edition), page 515, we are given $$\sum_{i=1}^n \left(\left(Du \cdot x + \frac{n-p}p u \right)p|Du|^{p-2}u_{x_i}-|Du|^px_i \right)_{x_i}=0. \tag{10}$$ Then the author goes on to say: Application: monotonicity formulas. Assume…
Cookie
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Equation for stationary values of $px^2+qy^2+rz^2$ given sphere and plane constraints

Consider stationary points of the function $V=px^2+qy^2+rz^2$ subject to the constraints $x^2+y^2+z^2=1$ and $lx+my+nz=0$, where $l,m,n$ not all zero and $p,q,r$ not all equal. How can we show that the stationary values of $V$ satisfy…
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Why Dirichlet's energy uses a **squared** norm?

$E = \int_{\Omega}\left \| \nabla u(x)\right \|^2 dx$ So, Dirichlet's energy measures the integral of the squared norm of the gradient. Why squared norm? What would we get if we use just a norm? It's still going to be non-negative. If I calculated a…
Babis
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Solving a functional problem $\min\int_0^1(ay^2+2byy'+cy'^2)\;dx,\;y(0)=0, y(1)=1$

I have the following problem in my Calculus of Variations course: Find all smooth extremums if $a,b$ and $c$ are positive numbers $$\min\int_0^1(ay^2+2byy'+cy'^2)\;dx,\;y(0)=0, y(1)=1$$ I have tried solving this for few days with the basic…
jjepsuomi
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Calculus of variations: time of travel between two points

I'm reading Calculus of Variations by Elsgolc. On the page 35 there is example number 7. Let me introduce the problem. We have a functional given by: $v(y(x)) = \int_{x_0}^{x_1}F(x,y,y')dx$ If $F$ depends only on $y'$: $F=F(y')$ the Euler equation…
mc2
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Doubt on calculus of variation

In wiki http://en.wikipedia.org/wiki/Calculus_of_variations#Example, the first example of calculus of variation is the minimize distance between 2 points. In my understanding, value of functional $J$ depends on a function $f$ and certain parameters,…
JSCB
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Isoperimetric inequality on the sphere via calculus of variations

The isoperimetric inequality on the sphere of radius 1 asserts that for any closed curve on the sphere, $$L^2 \geq A(4\pi - A)$$ where $L$ is the length of the curve and $A$ is the area it encloses. There are a number of proofs of this; I am…
Paul Siegel
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Function extremal - calculus of variations

Find a curve passing through (1,2) and (2,4) that is an extremal of the function: $J(x,y')=\int_1^2 xy'(x)+(y'(x))^2dx$ I don't know what methods to use at all.
kiwifruit
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Paths of minimum time

I am reading An Introduction to the Calculus of Variations by Charles Fox and would be grateful if someone could explain the following bits to me. 1) Legendre test: one of the conditions stated is that (ii) the range of integration $(a,b)$ is…
Fox
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Minimising line intergral over a scalar field part 1

I'm self teaching myself calculus of variations, and decided to solve a problem to practice what I learned. Say we want to find a path $y=y(x)$ in the scalar field $S(x,y)$. Therefor we wish to minimise the integral $$\int_{x_1}^{x_2} S(x,y(x)) dx…
Michal
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