Write and solve the Euler equations to make the following integrals stationary. Change the independent variable, if needed, to make the Euler equation simpler. \(\int_{x_{1}}^{x_{2}} \sqrt{1+y^{2} y^{\prime 2}} d x\)

Short Answer

Expert verified
The Euler-Lagrange equation is \(0 - \frac{y''}{(1 + y'^{2})^{3/2}} = 0\), which simplifies to \(y'' = 0\).

Step by step solution

01

Identify the integrand and Lagrangian

The integrand of the given integral is \(\f(y, y', x) = \sqrt{1 + y'^2}\). Here, \t the Lagrangian (L) is \(\f(y, y', x) = \sqrt{1 + y'^2}\).
02

Write the Euler-Lagrange equation

The Euler-Lagrange equation for a function \(\f(y, y', x)\) is given by \(\frac{\partial \f}{\partial y} - \frac{d}{dx} \frac{\partial \f}{\partial y'} = 0\).
03

Compute partial derivatives

First, compute \(\frac{\partial \f}{\partial y}\). Since the integrand \(\f = \sqrt{1 + y'^2}\) does not explicitly depend on \(y\), we have \(\frac{\f}{\f y} = 0\). \ss\Compute next the derivative with respect to \(y'\). \(\f = \sqrt{1 + y'^2}\), so \(\frac{\f}{\f y'} = \frac{y'}{\sqrt{1 + y'^2}}\).
04

Compute the total derivative

Now, we need to compute \(\frac{d}{dx} \frac{ \partial \f}{\partial y'}\),\. Taking the total derivative of \(\frac{y'}{\sqrt{1 + y'^2}}\) with respect to \(x\), \(\frac{d}{dx} \left(\frac{y'}{\sqrt{1 + y'^2}}\right) = \frac{d}{dx} \left(\frac{y'}{\sqrt{1 + y'^2}}\right)\). Using the chain rule, \(\frac{d}{dx} \left(\frac{y'}{\sqrt{1 + y'^2}}\right)\) results in\ \frac{y'' (1 + y'^2) - y' \(2 y' y'')}{(1 + y'^2)^{\frac{3}{2}}} = \frac{y''}{(1 + y'^2)^{\frac{3}{2}}}\).
05

Set up Euler-Lagrange equation

Plugging the derivatives into Euler-Lagrange equation \(0 - \frac{d}{dx} \frac{\f}{\f y'} = 0\) gives: \(0 - \frac{y''}{(1 + y'^2)^{\frac{3}{2}}} = 0\).\

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

calculus of variations
The calculus of variations is a field of mathematical analysis that deals with maximizing or minimizing functionals. A functional is a mapping from a space of functions to the real numbers. Unlike finding the maxima or minima of functions, in calculus of variations, you deal with finding the function that optimizes a given functional. For instance, in our problem, the functional is the integral \(\int_{x_1}^{x_2} \sqrt{1 + y'^2} dx\)\. The goal is to find the function y(x) that makes this integral stationary, which means it either reaches a maximum or minimum value. A common technique used in calculus of variations is the Euler-Lagrange equation, which provides the conditions that the function must satisfy to be optimal.
Lagrangian mechanics
Lagrangian mechanics is a reformulation of classical mechanics introduced by Joseph Louis Lagrange in 1788. It provides a powerful and elegant method to derive the equations of motion for a system. The Lagrangian of a system, usually denoted as L, is a function that summarizes the dynamics of the system. It is typically expressed as the difference between kinetic energy (T) and potential energy (U), so \[ L = T - U \] In the context of the calculus of variations and the given problem, the Lagrangian represents the integrand of the functional we want to optimize. For instance, in our problem, the Lagrangian is given by \(\f(y, y', x) = \sqrt{1 + y'^2}\)\.
partial differentiation
Partial differentiation is the process of taking the derivative of a function with respect to one variable while keeping the other variables constant. It is a key tool in multivariable calculus and is used extensively in physics and engineering. In our problem, partial differentiation is used to compute the necessary derivatives for the Euler-Lagrange equation. For instance, the terms \(\frac{\f\f}{\f y}\)\ and \(\frac{\f\f}{\f y'}\)\ are computed. Since \(\f = \sqrt{1 + y'^2}\)\, \(\f\f / \f y = 0\)\ because \(\f\)\ doesn't explicitly depend on y. On the other hand, \(\f\f / \f y' = \frac{y'}{\f\sqrt{1 + y'^2}}\)\.
stationary integrals
In calculus of variations, a stationary integral is one whose value does not change for small variations in the function that defines it. This means if you perturb the function slightly, the value of the integral remains the same. This concept is crucial for finding the optimal solution, as it corresponds to the principle of least action in physics. For instance, to find the stationary points of the integral \(\int_{x_1}^{x_2} \sqrt{1 + y'^2} dx\)\, we set up the Euler-Lagrange equation. When all necessary derivatives are computed and substituted back, we get the condition \(\frac{y''}{(1 + y'^2)^{\f3/2}} = 0\)\, leading to \(\f y'' = 0\)\. This tells us that the function y that makes the integral stationary has a second derivative equal to zero, implying it must be a linear function.

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Most popular questions from this chapter

Prove that a particle constrained to stay on a surface \(f(x, y, z)=0,\) but subject to no other forces, moves along a geodesic of the surface. Hint: The potential energy \(V\) is constant, since constraint forces are normal to the surface and so do no work on the particle. Use Hamilton's principle and show that the problem of finding a geodesic and the problem of finding the path of the particle are identical mathematics problems.

The speed of light in a medium of index of refraction \(n\) is \(v=d s / d t=c / n .\) Then the time of transit from \(A\) to \(B\) is \(t=\int_{A}^{B} d t=c^{-1} \int_{A}^{B} n d s .\) By Fermat's principle above, \(t\) is stationary. If the path consists of two straight line segments with \(n\) constant over each segment, then \(\int_{A}^{B} n d s=n_{1} d_{1}+n_{2} d_{2}\) and the problem can be done by ordinary calculus. Thus solve the following problems: Derive the optical law of reflection. Hint: Let light go from the point \(A=\left(x_{1}, y_{1}\right)\) to \(B=\left(x_{2}, y_{2}\right)\) via an arbitrary point \(P=\) \((x, 0)\) on a mirror along the \(x\) axis. Set \(d t / d x=(n / c) d D / d x=\) \(0,\) where \(D=\) distance \(A P B,\) and show that then \(\theta=\phi\).

A curve \(y=y(x),\) joining two points \(x_{1}\) and \(x_{2}\) on the \(x\) axis, is revolved around the \(x\) axis to produce a surface and a volume of revolution. Given the surface area, find the shape of the curve \(y=y(x)\) to maximize the volume. Hint: You should find a first integral of the Euler equation of the form \(y f\left(y, x^{\prime}, \lambda\right)=C .\) since \(y=0\) at the endpoints, \(C=0 .\) Then either \(y=0\) for all \(x,\) or \(f=0 .\) But \(y \equiv 0\) gives zero volume of the solid of revolution, so for maximum volume you want to solve \(f=0\) at the endpoints, \(C=0 .\) Then either \(y=0\) for all \(x,\) or \(f=0 .\) But \(y \equiv 0\) gives zero volume of the solid of revolution, so for maximum volume you want to solve \(f=0\).

A uniform flexible chain of given length is suspended at given points \(\left(x_{1}, y_{1}\right)\) and \(\left(x_{2}, y_{2}\right) .\) Find the curve in which it hangs. Hint: It will hang so that its center of gravity is as low as possible.

Find the geodesics on the parabolic cylinder \(y=x^{2}\).

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