Solve Brachistrone Problem: Find Path for Least Time Taken

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In summary: Since y does not satisfy the condition of being a minimizing function of I, the solution to the equation is absurd.
  • #1
pardesi
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i have this doubt in teh famous brachistrone problem
The Problem
we have to find teh path [tex]y(x)[/tex] connecting two fixed points so that a body sliding along it under the influence of gravity only from rest should take the least possible?

The Proof

consider any length [tex]ds[/tex] along the path the time taken to cover it is [tex]\frac {ds}{v}[/tex] where [tex]v[/tex] is teh speed of teh body at that point then we have teh toatal tiem taken to coevr teh entire distance is [tex]T = \int_{1}^{2} \frac {ds}{v}[/tex]
now we have by conservation of energy [tex]v = \sqrt {2gy}[/tex]
thus [tex]T = \int_{1}^{2}\frac {ds}{\sqrt {2gy}}[/tex]
clearly [tex]y[/tex] is a function of [tex]s[/tex] also we have by the calculus of variations a standard resukt that if
[tex]I = \int_{x_{1}}^{x_{2}} f(\dot{y},y,x)dx[/tex] is an extremum then we must have [tex]\frac {d (\frac {\partial f}{\partial \dot{y}})}{dx} = \frac {\partial f}{\partial y}[/tex]
where [tex]y \equiv y(x)[/tex]
here similarly we have [tex]f[/tex] as [tex]\frac {1}{\sqrt {2gy}}[/tex] and [tex]s[/tex] as [tex]y[/tex] and if we proceed so we get absurd results instead
if we put [tex]ds = \sqrt {1 + \dot{y}^{2}}dx[/tex] and then apply the result we get the right answer
my doubt is why does the result fail to hold in teh first case?
 
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  • #2
pardesi said:
..teh speed of teh body at that point then we have teh toatal tiem taken to coevr teh..
Have you tried using less coffee? :wink:
 
  • #3
yeah sry for that i was at a library so had to hurrily type that
the corrected version "..the speed of the body at that point then we have the total time taken to cover the.."
 
  • #4
s would be x in that case, not y.
 
  • #5
I have been trying to learn this sort of thing on my own lately - please say if I am making mistakes or have misconceptions.

The absurd result you get in the first case is y(s) = 0 right?

First time through I get

[tex]\frac {\partial{F}}{\partial{y}} = -\frac {{y}^{-3/2}}{2 \sqrt {2g}}[/tex]

[tex]\frac {d}{ds} \frac {\partial{F}}{\partial{\dot{y}}} = \frac {d(0)}{ds} = 0[/tex]

since [tex]\dot {y}[/tex] does not appear in [tex]F; F = \frac {1}{\sqrt {2gy}}[/tex]

So it would appear that [tex]-\frac {{y}^{-3/2}}{2 \sqrt {2g}} = 0[/tex]

Giving [tex] y = 0 [/tex]

Consider that F is simply [tex]F = \frac {1}{v}[/tex]

And that [tex] \frac {1}{v} = \frac {dt}{ds} = \frac {dy}{ds}\frac{dt}{dy} = {\dot{y}} \frac {dt}{dy} [/tex]

So we can write F in terms of [tex] \dot{y} [/tex]

then [tex]\frac {\partial{F}}{\partial{\dot{y}}} = \frac{dt}{dy}[/tex]

Clearly, the y-component velocity [tex]\frac{dy}{dt}[/tex] of the particle corresponds to a point along the curve it is falling.

Said differently, [tex]\frac{dy}{dt} = G(s)[/tex]
so [tex]\frac {\partial{F}}{\partial{\dot{y}}} = \frac {1}{G(s)}[/tex]

I am having difficulty thinking of what exactly [tex]G(s)[/tex] would be but it seems intuitive that

[tex]\frac {d}{ds} \frac {\partial{F}}{\partial{\dot{y}}} \neq 0[/tex]

so

[tex]-\frac {{y}^{-3/2}}{2 \sqrt {2g}} \neq 0[/tex]

and ultimately

[tex] y \neq 0 [/tex]

It seems that introduction of x and it's relation to y eliminates all the convolution here.

Is this correct?
 
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  • #6
hi

the relation between ds, dx and dy :
[tex]ds = \sqrt{dy^2 + dx^2}[/tex]
which you wrote in your first post is needed in deriving brachistrome because we need an independent variable to calculate. And, with that in mind, variable s is not a good one because it depends on x and y (which one is dependent of another).
Moreover, ds is an elementary distance which particle traveled, you can't say that [tex]ds = dy[/tex] because there's a motion in x-axis also!
In the Euler's type of equation
[tex]
I = \int_{x_{1}}^{x_{2}} f(\dot{y},y,x)dx
[/tex]

[tex]\dot{y}(x), y(x)[/tex] must be a function of only x (and s is a function of x and y).
Since the variable s doesn't fit the Euler-Lagrange equation, you cannot assume that the solutions will fit to the connected condition:
[tex]
\frac {d (\frac {\partial f}{\partial \dot{y}})}{dx} = \frac {\partial f}{\partial y}
[/tex]


I don't fully understand the meaning of function G(s) in your derivation but i think that the problem with it was much earlier.
 
  • #7
Let me try to be more thorough, so there is no confusion as to what I am doing.

We are minimizing an integral of the form

[tex]I = \int_{0}^{l} f(\dot{y}(s),y(s),s)ds[/tex]

by calculus of variations,

[tex]\frac {d (\frac {\partial F}{\partial \dot{y}})}{ds} = \frac {\partial F}{\partial y}[/tex]

Is true iff y(s) is such that it minimizes or maximizes [tex]I[/tex]

Specifically we are minimizing

[tex]T = \int_{0}^{l} \frac {ds}{v}[/tex]

which is the time taken by the particle in falling down the "ramp"

So [tex]F[/tex] in the context of the euler-lagrange equation is [tex]F = \frac{1}{v}[/tex]

No forces besides gravity are acting on the particle, therefore

[tex]v = \sqrt {2gy}[/tex]

it follows that, [tex]\frac {\partial{F}}{\partial{y}} = -\frac {{y}^{-3/2}}{2 \sqrt {2g}}[/tex]

which is one side of the euler-lagrange equation.

In solving for the other side we must see that [tex]F = \frac {1}{v} = \frac {dt}{ds} = \frac {dy}{ds}\frac{dt}{dy} = {\dot{y}} \frac {dt}{dy} [/tex]

so [tex]\frac {\partial{F}}{\partial{\dot{y}}} = \frac{dt}{dy}[/tex]

well, [tex]\frac{dt}{dy}[/tex] is simply [tex]\frac{1}{V_y}[/tex]

and [tex] V_y = \frac{ds}{dt}\frac{dy}{ds} = V \frac {d(y)}{ds} = \frac {1}{\sqrt {2gy}}\frac {d(y)}{ds}[/tex]

Then the other side of the euler-lagrange equation is [tex] \frac {d(\frac {1}{\sqrt {2gy}}\frac {d(y)}{ds})}{ds} [/tex]

And the solution to the brachistrone problem is

[tex]-\frac {{y}^{-3/2}}{2 \sqrt {2g}} = \frac {d(\frac {1}{\sqrt {2gy}}\frac {d(y)}{ds})}{ds} [/tex]

The introduction of x is not needed to solve the problem (although it seems to be necessary to get a nice looking result...)
 
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  • #8
I just spotted a mistake I made, this site doesn't appear to let me edit my posts so I'm forced to post another message...

The solution should be

[tex]-\frac {{y}^{-3/2}}{2 \sqrt {2g}} = \frac {d(\sqrt {2gy} \frac {1}{\frac {d(y)}{ds}})}{ds} [/tex]
 
  • #9
hmm. Let's assume that's ok ;). But even if so, as i calculated, it seems that cycloid isn't the solution of this equation. I don't have time to write it now but have you checked it also? I checked the parametric formulas:
[tex] x = r(t - sin(t)), y = r(1- cos(t))
[/tex]
 

1. What is the Brachistochrone problem?

The Brachistochrone problem is a mathematical challenge that involves finding the path between two points that minimizes the time taken for a particle to travel between them under the influence of gravity, assuming no friction.

2. Why is the Brachistochrone problem important?

The Brachistochrone problem has been of interest to mathematicians and physicists since the 17th century as it has applications in various fields such as physics, engineering, and geometry. It also serves as a good exercise in optimization and calculus.

3. How is the Brachistochrone problem solved?

The Brachistochrone problem can be solved using the principle of least action, which states that the actual path taken by an object between two points is the one that minimizes the action (or time) taken. This can be mathematically expressed using the Euler-Lagrange equation.

4. What are some real-life applications of the Brachistochrone problem?

The Brachistochrone problem has practical applications in fields such as architecture, transportation, and robotics. It can be used to design the most efficient rollercoasters, roads, and flight paths for airplanes. It is also relevant in designing the most efficient paths for robots to move from one point to another.

5. Are there any limitations to the Brachistochrone problem?

The Brachistochrone problem assumes a frictionless environment and a constant gravitational field, which may not always be accurate in real-life scenarios. Additionally, it only considers the time taken and not the energy expended, which may be a more important factor in some cases.

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