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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Solving path optimisation problem without euler Lagrange equation

If a curve given by y=f(x) starts at (0,0) and ends at (x1,y1), then find the function f(x) such that the area under the curve from x=0 to x=x1 is maximum under the constraint that the total length of curve between these is fixed and is equal to l.…
Ritil
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How to write the Euler-Langrange equation of elliptic PDE containing $\nabla$ like $\Delta u + \nabla u . \theta = f$.

How to write the Euler-Langrange equation of elliptic PDE containing $\nabla$ like $\Delta u + \nabla u . \theta = f$. For some question we can make the $\nabla$ term dissapear by transformation, then using varaition method, for example, Yamabe…
Elio Li
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Difference between solutions to variational problem cannot attain local extrema

Porblem: Let $\Omega\in \mathbb R^n$ be a domain and $F(x,p)\in C^3(\Omega\times \mathbb R^n)$ be locally uniformly convex in the $p$ variables. Suppose that $u$, $v\in C^2(\Omega)$ be critical points of the functional $$ \mathcal F[u]:=\int_\Omega…
kcjkgs
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Natural Boundary Condition

For $f \in C^2 ([a,b] \times \mathbb{R} \times \mathbb{R})$ we consider the minimization problem $$\inf_{u \in X}J[u],\,\, J[u] = \int_a^b f(x,u(x),u'(x)) dx,\,\,\, X=\{ u \in C^1([a,b]); u(a)=\alpha \}.$$ Assume that a minimizer $\overline{u} \in…
Mr. Proof
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How to measure time taken by object descending quadratic curve

The time taken for a particle to descend a parametric curve under gravity $g$ is $$ \frac{1}{\sqrt{2g}}\int_0^{x_2}\sqrt{\frac{1+y'(x)^2}{y(x)}}\ \mathrm dx\tag{1} $$ I have the quadratic equation $y(x)=\frac{1}{9}\left(x-6\right)^{2}$, and I would…
SirCle
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How to optimize a nested functional?

I have to find the function $q(t)$ that optimizes the expected value of the integral $\int{V(q(t),t)dq}$ where t is a randomly distributed value with probability density $f(t)$. Thus, the functional to optimize would be $\int{f\int{Vq'dt}dt}$ My…
Unix
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In calculus of variations, why is the variation in the form $\hat{y}(x,\epsilon)=y(x)+\epsilon v(x)$?

Consider the functional $$J[y]=\int_{x_1}^{x_2} L(x,y(x),y'(x))\mathrm{d} x.\tag{1}$$ In order to arrive at the classical Euler-Lagrange equation, it is common to build a variation of $y(x)$ in the form $\hat{y}(x,\epsilon)=y(x)+\epsilon v(x)$.…
pluton
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Consider the following functional which is as follows:

I am stuck on the following problem: I tried using Euler's formula which is as follows: But my calculation gets complicated and I could not get the results. Can someone help me in this regard? Thanks in advance for your time.
learner
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$\mathcal{F}$ $W^{1,1}-seq.w.l.s.c.$ then $F$ convex?

I'm a little bit stuck with the following little exercise: If I know $\mathcal{F}$ is sequentially weakly lower semi-continous in $\{u \in W^{1,1}, u(0) = a, u(1) = b\}$, then I know that $F(tp_1 + (1-t)p_2) \leq tF(p_1) + (1-t)F(p_2)$ is fine if…
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Invariance of lagrangian under point transformation and symmetry of second derivatives

I was trying to show an invariance, the same as this question. But I can't understand a step. We have $q_{i}=q_{i}\left(s_{1},\dots,s_{n},t\right)$, then $$\dot{q}_{i}= \frac{dq_i}{\text{dt}} =\sum_{j}\frac{\partial q_{i}}{\partial s_{j}}\frac{d…
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Euler–Lagrange equation (changing variable)

Create the Euler–Lagrange equation for the following questions (if it's necessary change the…
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Can anyone help me with this calculus variational problem?

I'm having some problem finding the optimal trajectory $y^*(t)$: $$V(y)=\int_{0}^{3}(y'+40t^3y)dt$$ with $y(0)=2$ and $y(3)=y_3$, with $y_3$ varying. Basically, when I apply the Euler-Lagrange equation, the result is:…
Jackaba
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Joint Convexity of functionals

This is a transcript from The Calculus of Variations by Jeff Calder For the given functional $F(x,y,y')$, the sufficient conditions for a weak solution of the Euler-Lagrange equation to be a minimizer is that we require joint convexity in $y$ and…
S.S
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Finding broken extremals of the functional

$J[y]=\int_{0}^{1}[(y')^{2}-(y')^{4}]dx$ ,subject to boundary conditions $y(0)=0,y(1)=0.$ A broken extremal is a continuous extremal whose derivative has jump discontinuities at a finite number of points. Then which of the following is /are…
S.S
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Find an optimal curve in order to minimalize the integral.

Let $F:\mathbb{C}\rightarrow \mathbb{R}$ be a smooth function and $T$ be a positive real number. Functions $f_{1},f_{2}:\mathbb{R}\rightarrow\mathbb{R}$ are differentiable. Let $S[f_{1},f_{2}]:=\int_{0}^{T}F(f_1(t)+if_2(t))dt$ Now, consider such…
mkultra
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