- #1
Kashmir
- 468
- 74
The question is to extremize the proper time : ##\begin{aligned}\int d\tau=\int ( dt^{2}-dx^{2}\\ -dy^{2} \\ -dz^2)^{1/2} \end{aligned}##
I've studied calculus of variations somewhat and a can solve a similar problem which I found in the mathematical methods book the author Mary Boas. The way she solves a similar problem is shown below, however I can't use that method for my problem of extremising the proper time above.
I would like to get some help to solve the above integral similar to the way shown below :
Given a problem to find ##y## that makes the integral stationary ##
I=\int_{x_1}^{x_2} F\left(x, y, y^{\prime}\right) d x
##
where ##F## is a given function. The ##y(x)## which makes ##I## stationary is called an extremal whether ##I## is a maximum or minimum or neither. We consider a set of varied curves ##
Y(x)=y(x)+\epsilon \eta(x)
##
just as before. Then we have
##
I(\epsilon)=\int_{x_1}^{x_2} F\left(x, Y, Y^{\prime}\right) d x,
##
and we want ##(d / d \epsilon) I(\epsilon)=0## when ##\epsilon=0##. Remembering that ##Y##and ##Y^{\prime}## are functions of ##\epsilon##, and differentiating under the integral sign with respect to ##\epsilon##, we get
##
\frac{d I}{d \epsilon}=\int_{x_1}^{x_2}\left(\frac{\partial F}{\partial Y} \frac{d Y}{d \epsilon}+\frac{\partial F}{\partial Y^{\prime}} \frac{d Y^{\prime}}{d \epsilon}\right) d x .
##
Substituting (2.1) and (2.5) into (2.11), we have
##\frac{d I}{d \epsilon}=\int_{x_1}^{x_2}\left[\frac{\partial F}{\partial Y} \eta(x)+\frac{\partial F}{\partial Y^{\prime}} \eta^{\prime}(x)\right] d x ##
We want ##d I / d \epsilon=0## at ##\epsilon=0##; recall that ##\epsilon=0## means ##Y=y## Then (2.12) gives
##\left(\frac{d I}{d \epsilon}\right)_{\epsilon=0}=\int_{x_1}^{x_2}\left[\frac{\partial F}{\partial y} \eta(x)+\frac{\partial F}{\partial y^{\prime}} \eta^{\prime}(x)\right] d x=0 ##
Assuming that ##y^{\prime \prime}## is continuous, we can integrate the second term by parts just as in the straight-line problem:
##
\int_{x_1}^{x_2} \frac{\partial F}{\partial y^{\prime}} \eta^{\prime}(x) d x=\left.\frac{\partial F}{\partial y^{\prime}} \eta(x)\right|_{x_1} ^{x_2}-\int_{x_1}^{x_2} \frac{d}{d x}\left(\frac{\partial F}{\partial y^{\prime}}\right) \eta(x) d x .
##
The integrated term is zero as before because ##\eta(x)## is zero at ##x_1## and ##x_2####
\left(\frac{d I}{d \epsilon}\right)_{\epsilon=0}=\int_{x_1}^{x_2}\left[\frac{\partial F}{\partial y}-\frac{d}{d x} \frac{\partial F}{\partial y^{\prime}}\right] \eta(x) d x=0 .
##
since ##\eta(x)## is arbitrary, we must have
##
\frac{d}{d x} \frac{\partial F}{\partial y^{\prime}}-\frac{\partial F}{\partial y}=0 . \quad \text { Euler equation }
##
I've studied calculus of variations somewhat and a can solve a similar problem which I found in the mathematical methods book the author Mary Boas. The way she solves a similar problem is shown below, however I can't use that method for my problem of extremising the proper time above.
I would like to get some help to solve the above integral similar to the way shown below :
Given a problem to find ##y## that makes the integral stationary ##
I=\int_{x_1}^{x_2} F\left(x, y, y^{\prime}\right) d x
##
where ##F## is a given function. The ##y(x)## which makes ##I## stationary is called an extremal whether ##I## is a maximum or minimum or neither. We consider a set of varied curves ##
Y(x)=y(x)+\epsilon \eta(x)
##
just as before. Then we have
##
I(\epsilon)=\int_{x_1}^{x_2} F\left(x, Y, Y^{\prime}\right) d x,
##
and we want ##(d / d \epsilon) I(\epsilon)=0## when ##\epsilon=0##. Remembering that ##Y##and ##Y^{\prime}## are functions of ##\epsilon##, and differentiating under the integral sign with respect to ##\epsilon##, we get
##
\frac{d I}{d \epsilon}=\int_{x_1}^{x_2}\left(\frac{\partial F}{\partial Y} \frac{d Y}{d \epsilon}+\frac{\partial F}{\partial Y^{\prime}} \frac{d Y^{\prime}}{d \epsilon}\right) d x .
##
Substituting (2.1) and (2.5) into (2.11), we have
##\frac{d I}{d \epsilon}=\int_{x_1}^{x_2}\left[\frac{\partial F}{\partial Y} \eta(x)+\frac{\partial F}{\partial Y^{\prime}} \eta^{\prime}(x)\right] d x ##
We want ##d I / d \epsilon=0## at ##\epsilon=0##; recall that ##\epsilon=0## means ##Y=y## Then (2.12) gives
##\left(\frac{d I}{d \epsilon}\right)_{\epsilon=0}=\int_{x_1}^{x_2}\left[\frac{\partial F}{\partial y} \eta(x)+\frac{\partial F}{\partial y^{\prime}} \eta^{\prime}(x)\right] d x=0 ##
Assuming that ##y^{\prime \prime}## is continuous, we can integrate the second term by parts just as in the straight-line problem:
##
\int_{x_1}^{x_2} \frac{\partial F}{\partial y^{\prime}} \eta^{\prime}(x) d x=\left.\frac{\partial F}{\partial y^{\prime}} \eta(x)\right|_{x_1} ^{x_2}-\int_{x_1}^{x_2} \frac{d}{d x}\left(\frac{\partial F}{\partial y^{\prime}}\right) \eta(x) d x .
##
The integrated term is zero as before because ##\eta(x)## is zero at ##x_1## and ##x_2####
\left(\frac{d I}{d \epsilon}\right)_{\epsilon=0}=\int_{x_1}^{x_2}\left[\frac{\partial F}{\partial y}-\frac{d}{d x} \frac{\partial F}{\partial y^{\prime}}\right] \eta(x) d x=0 .
##
since ##\eta(x)## is arbitrary, we must have
##
\frac{d}{d x} \frac{\partial F}{\partial y^{\prime}}-\frac{\partial F}{\partial y}=0 . \quad \text { Euler equation }
##