How should I use the Jacobi equation to show this?

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Homework Statement
Let ## a<b ## and let ## f(x) ## be a continuously differentiable function on the interval ## [a, b] ## with ## f(x)>0 ## for all ## x\in [a, b] ##. Let ## A>0, B>0 ## be constants. Using the Jacobi equation, show that the stationary path ## y(x)=A+\beta\int_{a}^{x}\frac{dw}{\sqrt{f(w)^2-\beta^2}} ##, where ## \beta ## is a constant satisfying ## B-A=\beta\int_{a}^{b}\frac{dw}{\sqrt{f(w)^2-\beta^2}} ## gives a weak local minimum of the functional ## S[y]=\int_{a}^{b}f(x)\sqrt{1+y'^2}dx, y(a)=A, y(b)=B ##. (You are not required to solve the Jacobi equation.)
Relevant Equations
Jacobi equation: ## \frac{d}{dx}(P(x)\frac{du}{dx})-Q(x)u=0, u(a)=0, u'(a)=1 ##, where ## P(x)=\frac{\partial^2 F}{\partial y'^2} ## and ## Q(x)=\frac{\partial^2 F}{\partial y^2}-\frac{d}{dx}(\frac{\partial^2 F}{\partial y\partial y'}) ## vanishes at ## x=\tilde{a} ##.

For sufficiently small ## b-a ##, we have
a) if ## P(x)=\frac{\partial^2 F}{\partial y'^2}>0, a\leq x\leq b, S[y] ## has a minimum,
b) if ## P(x)=\frac{\partial^2 F}{\partial y'^2}<0, a\leq x\leq b, S[y] ## has a maximum.

Jacobi's necessary condition: If the stationary path ## y(x) ## corresponds to a minimum of the functional ## S[y]=\int_{a}^{b}F(x, y, y')dx, y(a)=A, y(b)=B ##, and if ## P(x)=\frac{\partial^2 F}{\partial y'^2}>0 ## along the path, then the open interval ## a<x<b ## does not contain points conjugate to ## a ##.

A sufficient condition: If ## y(x) ## is an admissible function for the functional ## S[y]=\int_{a}^{b}F(x, y, y')dx, y(a)=A, y(b)=B ## and satisfies the three conditions listed below, then the functional has a weak local minimum along ## y(x) ##.
a) The function ## y(x) ## satisfies the Euler-Lagrange equation, ## \frac{d}{dx}(\frac{\partial F}{\partial y'})-\frac{\partial F}{\partial y}=0 ##.
b) Along the curve ## y(x), P(x)=\frac{\partial^2 F}{\partial y'^2}>0 ## for ## a\leq x\leq b ##.
c) The closed interval ## [a, b] ## contains no points conjugate to the point ## x=a ##.
Here's my work:

Let ## F(x, y, y')=f(x)\sqrt{1+y'^2} ##.
Then ## P(x)=\frac{\partial^2 F}{\partial y'^2}=\frac{\partial}{\partial y'}(\frac{f(x)y'}{\sqrt{1+y'^2}})=\frac{\frac{\partial}{\partial y'}(f(x)y')\cdot \sqrt{1+y'^2}-(f(x)y')\cdot \frac{\partial}{\partial y'}(\sqrt{1+y'^2})}{(\sqrt{1+y'^2})^2}=\frac{f(x)\cdot \sqrt{1+y'^2}-(f(x)y')(\frac{y'}{\sqrt{1+y'^2}})}{1+y'^2}=\frac{f(x)\cdot (1+y'^2)-f(x)y'^2}{(1+y'^2)^{\frac{3}{2}}}=\frac{f(x)}{(1+y'^2)^{\frac{3}{2}}} ##.
This gives ## Q(x)=\frac{\partial^2 F}{\partial y^2}-\frac{d}{dx}(\frac{\partial^2 F}{\partial y\partial y'})=0 ##.
Thus, the Jacobi equation is ## \frac{d}{dx}(P(x)\frac{du}{dx})-Q(x)u=0\implies \frac{d}{dx}(\frac{f(x)u'}{(1+y'^2)^{\frac{3}{2}}})=0\implies \frac{f(x)u'}{(1+y'^2)^{\frac{3}{2}}}=C ##.

With this Jacobi equation found above, how should I use it and show that the given stationary path gives a weak local minimum of the given functional ## S[y] ##?
 
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Does [itex]u'[/itex] change sign in [itex](a,b)[/itex]?
If [itex]u(0) = 0[/itex], are there any other points [itex]x \in (a,b)[/itex] such that [itex]u(x) = 0[/itex] (conjugate points)?
 
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Remember that the aim is to determine the sign of the second variation [tex]
\int_a^b Ph'^2 + Qh^2\,dx = \left[ Phh' \right]_a^b + \int_a^b (-(Ph')' + Qh)h\,dx[/tex] for admissible [itex]h[/itex] near to the zero function, with [itex]P[/itex] and [itex]Q[/itex] evaluated on the extremal path. Since here the value of [itex]y[/itex] is prescribed on the boundaries, we must have [itex]h(a) = h(b) = 0[/itex] so that [itex] \left[ Phh' \right]_a^b[/itex] vanishes and the Jacobi operator [itex]\frac{d}{dx}\left(P\frac{d}{dx}\right) - Q[/itex] is self-adjoint with respect to the inner product [itex]\langle u, v \rangle = \int_a^b u(x)v(x)\,dx.[/itex]

If you can show [itex]P > 0[/itex] and [itex]Q \geq 0[/itex] on [itex](a,b)[/itex] then you have a global minimum. Only if the signs change over the interval is it necessary to look at conditions derived from considering the Jacobi operator to determine the nature of a local extremum.
 
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  • #4
pasmith said:
Does [itex]u'[/itex] change sign in [itex](a,b)[/itex]?
If [itex]u(0) = 0[/itex], are there any other points [itex]x \in (a,b)[/itex] such that [itex]u(x) = 0[/itex] (conjugate points)?
How to find ## u' ## and ## u ## from the Jacobi equation, ##\frac{f(x)u'}{(1+y'^2)^{\frac{3}{2}}}=C##? And the condition we have is ## u(a)=0 ##, so there's no conjugate point.
 
  • #5
pasmith said:
Remember that the aim is to determine the sign of the second variation [tex]
\int_a^b Ph'^2 + Qh^2\,dx = \left[ Phh' \right]_a^b + \int_a^b (-(Ph')' + Qh)h\,dx[/tex] for admissible [itex]h[/itex] near to the zero function, with [itex]P[/itex] and [itex]Q[/itex] evaluated on the extremal path. Since here the value of [itex]y[/itex] is prescribed on the boundaries, we must have [itex]h(a) = h(b) = 0[/itex] so that [itex] \left[ Phh' \right]_a^b[/itex] vanishes and the Jacobi operator [itex]\frac{d}{dx}\left(P\frac{d}{dx}\right) - Q[/itex] is self-adjoint with respect to the inner product [itex]\langle u, v \rangle = \int_a^b u(x)v(x)\,dx.[/itex]

If you can show [itex]P > 0[/itex] and [itex]Q \geq 0[/itex] on [itex](a,b)[/itex] then you have a global minimum. Only if the signs change over the interval is it necessary to look at conditions derived from considering the Jacobi operator to determine the nature of a local extremum.
Given that ## f(x)>0 ##, how can we show that ## P(x)=\frac{f(x)}{(1+y'^2)^{\frac{3}{2}}}>0 ## for ## a\leq x\leq b ##?
 

1. How should I use the Jacobi equation to show this?

To use the Jacobi equation to show a particular result, you first need to understand the Jacobi equation itself. The Jacobi equation is a second-order linear partial differential equation that describes the evolution of a vector field along a geodesic. To apply the Jacobi equation to a specific problem, you need to identify the geodesic in question and then solve the Jacobi equation to find the deviation vector along that geodesic.

2. What are the key steps in using the Jacobi equation?

The key steps in using the Jacobi equation include identifying the geodesic along which you want to study the deviation vector, setting up the Jacobi equation using the appropriate connection coefficients, and solving the resulting differential equation to find the deviation vector. It is important to pay attention to the signs and coefficients in the Jacobi equation to ensure an accurate solution.

3. How does the Jacobi equation relate to the curvature of a space?

The Jacobi equation is closely related to the curvature of a space. In curved spaces, the Jacobi equation describes how nearby geodesics diverge or converge due to the curvature of the space. The curvature of the space affects the coefficients in the Jacobi equation, leading to different behaviors of the deviation vector along geodesics in curved spaces compared to flat spaces.

4. Can the Jacobi equation be used in any spacetime geometry?

Yes, the Jacobi equation can be used in any spacetime geometry, as long as the spacetime is described by a metric that satisfies the Einstein field equations. The Jacobi equation provides a way to study the behavior of nearby geodesics in curved spacetime, allowing us to understand the effects of gravity and curvature on the motion of particles and light rays.

5. Are there any limitations to using the Jacobi equation?

While the Jacobi equation is a powerful tool for studying geodesic deviation in curved spacetime, it does have some limitations. The Jacobi equation assumes that the spacetime is described by a smooth metric and that the geodesics are well-behaved. In regions of spacetime with singularities or extreme curvature, the Jacobi equation may not provide accurate results. Additionally, solving the Jacobi equation can be challenging in complex spacetime geometries with nontrivial connection coefficients.

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