How should I use the Jacobi equation to show this?

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In summary, to use the Jacobi equation to demonstrate a particular concept or result, one should first understand the specific context in which the equation applies. Begin by clearly defining the variables and parameters involved, then derive the equation relevant to the problem at hand. Analyze the equation by substituting known values or conditions, and manipulate it to illustrate the desired outcome. Ensure to interpret the results accurately and relate them back to the original question or hypothesis.
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Math100
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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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  • #2
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 ##?
 

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The Jacobi equation is used to determine whether a given point is an extremum by analyzing the second variation of the functional. To show that a point is an extremum, you need to solve the Jacobi equation for the given boundary conditions. If the solution does not change sign within the interval, the point is an extremum.

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