Curve minimising distance between two points in $ mathbbR^2 $ with a circular obstacle

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Minimisation functional problem
$$ min_y int _ (-beta,0)^Asqrt(doty(x))^2+1 dx mbox such that x^2+y(x)^2geq R^2$$
Scaling everything, take $R=1, beta >1$



Starting at $(-beta,0)$ find the path with minimum distance taking you to $A=(x_0,y_0), y_0 geq 0 mbox wlog $ without going through the interior of the unit circle.



Let $ alpha $ be the angle between the x axis and the line segment joining $ (-beta,0)$ with $ A $. If $ sin alpha geq 1/ beta $, then the curve is that line segment.



You can try the problem with a square, a rhombus any compact set you like. In fact:



Generalisation: find a curve that minimises the distance between two points $A(x_A,y_A)$ and $ B(x_B,y_B) $ that doesn't go through some obstacles.
The obstacles are open bounded sets $B_i$, with the curve lying in $ mathbbR ^2 setminus cup_i=1^infty B_i$.



My difficulty: I am not familiar with inequality constraints. Any advice on how to tackle these problems either analytically or computationally would be appreciated.







share|cite|improve this question

















  • 4




    Draw a line through the two points. If it avoids the circle, you're done. Else, the shortest path lies on the side of the circle on which the line passes the centre; it consists of the tangents from the points to the circle, up to the point of tangency, and the arc on the circle between the points of tangency.
    – joriki
    Jul 22 at 16:45










  • You need a $ge$ in the inequality constraint or you won't attain the minimum described in the above comment
    – Calvin Khor
    Jul 22 at 16:54










  • Thanks for your answer @joriki !
    – George Aliatimis
    Jul 22 at 17:14










  • I edited my question @Calvin Khor
    – George Aliatimis
    Jul 22 at 17:15










  • Tightening a string seems to be a good way of dealing with those problems. Can it be made more rigorous?
    – George Aliatimis
    Jul 22 at 17:17















up vote
1
down vote

favorite












Minimisation functional problem
$$ min_y int _ (-beta,0)^Asqrt(doty(x))^2+1 dx mbox such that x^2+y(x)^2geq R^2$$
Scaling everything, take $R=1, beta >1$



Starting at $(-beta,0)$ find the path with minimum distance taking you to $A=(x_0,y_0), y_0 geq 0 mbox wlog $ without going through the interior of the unit circle.



Let $ alpha $ be the angle between the x axis and the line segment joining $ (-beta,0)$ with $ A $. If $ sin alpha geq 1/ beta $, then the curve is that line segment.



You can try the problem with a square, a rhombus any compact set you like. In fact:



Generalisation: find a curve that minimises the distance between two points $A(x_A,y_A)$ and $ B(x_B,y_B) $ that doesn't go through some obstacles.
The obstacles are open bounded sets $B_i$, with the curve lying in $ mathbbR ^2 setminus cup_i=1^infty B_i$.



My difficulty: I am not familiar with inequality constraints. Any advice on how to tackle these problems either analytically or computationally would be appreciated.







share|cite|improve this question

















  • 4




    Draw a line through the two points. If it avoids the circle, you're done. Else, the shortest path lies on the side of the circle on which the line passes the centre; it consists of the tangents from the points to the circle, up to the point of tangency, and the arc on the circle between the points of tangency.
    – joriki
    Jul 22 at 16:45










  • You need a $ge$ in the inequality constraint or you won't attain the minimum described in the above comment
    – Calvin Khor
    Jul 22 at 16:54










  • Thanks for your answer @joriki !
    – George Aliatimis
    Jul 22 at 17:14










  • I edited my question @Calvin Khor
    – George Aliatimis
    Jul 22 at 17:15










  • Tightening a string seems to be a good way of dealing with those problems. Can it be made more rigorous?
    – George Aliatimis
    Jul 22 at 17:17













up vote
1
down vote

favorite









up vote
1
down vote

favorite











Minimisation functional problem
$$ min_y int _ (-beta,0)^Asqrt(doty(x))^2+1 dx mbox such that x^2+y(x)^2geq R^2$$
Scaling everything, take $R=1, beta >1$



Starting at $(-beta,0)$ find the path with minimum distance taking you to $A=(x_0,y_0), y_0 geq 0 mbox wlog $ without going through the interior of the unit circle.



Let $ alpha $ be the angle between the x axis and the line segment joining $ (-beta,0)$ with $ A $. If $ sin alpha geq 1/ beta $, then the curve is that line segment.



You can try the problem with a square, a rhombus any compact set you like. In fact:



Generalisation: find a curve that minimises the distance between two points $A(x_A,y_A)$ and $ B(x_B,y_B) $ that doesn't go through some obstacles.
The obstacles are open bounded sets $B_i$, with the curve lying in $ mathbbR ^2 setminus cup_i=1^infty B_i$.



My difficulty: I am not familiar with inequality constraints. Any advice on how to tackle these problems either analytically or computationally would be appreciated.







share|cite|improve this question













Minimisation functional problem
$$ min_y int _ (-beta,0)^Asqrt(doty(x))^2+1 dx mbox such that x^2+y(x)^2geq R^2$$
Scaling everything, take $R=1, beta >1$



Starting at $(-beta,0)$ find the path with minimum distance taking you to $A=(x_0,y_0), y_0 geq 0 mbox wlog $ without going through the interior of the unit circle.



Let $ alpha $ be the angle between the x axis and the line segment joining $ (-beta,0)$ with $ A $. If $ sin alpha geq 1/ beta $, then the curve is that line segment.



You can try the problem with a square, a rhombus any compact set you like. In fact:



Generalisation: find a curve that minimises the distance between two points $A(x_A,y_A)$ and $ B(x_B,y_B) $ that doesn't go through some obstacles.
The obstacles are open bounded sets $B_i$, with the curve lying in $ mathbbR ^2 setminus cup_i=1^infty B_i$.



My difficulty: I am not familiar with inequality constraints. Any advice on how to tackle these problems either analytically or computationally would be appreciated.









share|cite|improve this question












share|cite|improve this question




share|cite|improve this question








edited Jul 22 at 17:35
























asked Jul 22 at 13:47









George Aliatimis

2110




2110







  • 4




    Draw a line through the two points. If it avoids the circle, you're done. Else, the shortest path lies on the side of the circle on which the line passes the centre; it consists of the tangents from the points to the circle, up to the point of tangency, and the arc on the circle between the points of tangency.
    – joriki
    Jul 22 at 16:45










  • You need a $ge$ in the inequality constraint or you won't attain the minimum described in the above comment
    – Calvin Khor
    Jul 22 at 16:54










  • Thanks for your answer @joriki !
    – George Aliatimis
    Jul 22 at 17:14










  • I edited my question @Calvin Khor
    – George Aliatimis
    Jul 22 at 17:15










  • Tightening a string seems to be a good way of dealing with those problems. Can it be made more rigorous?
    – George Aliatimis
    Jul 22 at 17:17













  • 4




    Draw a line through the two points. If it avoids the circle, you're done. Else, the shortest path lies on the side of the circle on which the line passes the centre; it consists of the tangents from the points to the circle, up to the point of tangency, and the arc on the circle between the points of tangency.
    – joriki
    Jul 22 at 16:45










  • You need a $ge$ in the inequality constraint or you won't attain the minimum described in the above comment
    – Calvin Khor
    Jul 22 at 16:54










  • Thanks for your answer @joriki !
    – George Aliatimis
    Jul 22 at 17:14










  • I edited my question @Calvin Khor
    – George Aliatimis
    Jul 22 at 17:15










  • Tightening a string seems to be a good way of dealing with those problems. Can it be made more rigorous?
    – George Aliatimis
    Jul 22 at 17:17








4




4




Draw a line through the two points. If it avoids the circle, you're done. Else, the shortest path lies on the side of the circle on which the line passes the centre; it consists of the tangents from the points to the circle, up to the point of tangency, and the arc on the circle between the points of tangency.
– joriki
Jul 22 at 16:45




Draw a line through the two points. If it avoids the circle, you're done. Else, the shortest path lies on the side of the circle on which the line passes the centre; it consists of the tangents from the points to the circle, up to the point of tangency, and the arc on the circle between the points of tangency.
– joriki
Jul 22 at 16:45












You need a $ge$ in the inequality constraint or you won't attain the minimum described in the above comment
– Calvin Khor
Jul 22 at 16:54




You need a $ge$ in the inequality constraint or you won't attain the minimum described in the above comment
– Calvin Khor
Jul 22 at 16:54












Thanks for your answer @joriki !
– George Aliatimis
Jul 22 at 17:14




Thanks for your answer @joriki !
– George Aliatimis
Jul 22 at 17:14












I edited my question @Calvin Khor
– George Aliatimis
Jul 22 at 17:15




I edited my question @Calvin Khor
– George Aliatimis
Jul 22 at 17:15












Tightening a string seems to be a good way of dealing with those problems. Can it be made more rigorous?
– George Aliatimis
Jul 22 at 17:17





Tightening a string seems to be a good way of dealing with those problems. Can it be made more rigorous?
– George Aliatimis
Jul 22 at 17:17











1 Answer
1






active

oldest

votes

















up vote
0
down vote













Considering the problem



$$
min_y int _ (-beta,0)^Aleft(sqrt(doty(x))^2+1right) dx mbox such that x^2+y^2ge R^2
$$



we will try to give an informal introduction to the handling of this problem with the help of slack variables $epsilon(x)$ and lagrange multipliers $lambda_1(x),lambda_2(x),lambda_3(x)$



First, the inequality is converted into an equivalent equality with the contribution of the slack variable



$$
x^2+y^2 ge R^2 equiv x^2+y^2-R^2-epsilon^2(x) = 0
$$



and then the main functional reads



$$
F(x,z,y,y',epsilon,epsilon')=sqrtz^2+1+lambda_1(x^2+y^2-R^2-epsilon^2)+lambda_2(2x+2y -2epsilon epsilon'z)+lambda_3(z-y')
$$



Note the inclusion as restriction also the derivative of $x^2+y^2-R^2-epsilon^2=0$



Now applying the Euler-Lagrange conditions for stationarity we have



$$
F_y-left(F_y'right)'=2lambda_1y+2lambda_2 z+lambda_3'=0\
F_z-left(F_z'right)'=2lambda_2y+fraczsqrtz^2+1+lambda_3 = 0\
F_epsilon-left(F_epsilon'right)'=2epsilon(lambda'_2-lambda_1)=0
$$



Assuming $epsilon(x) ne 0$ we have $lambda_1=lambda'_2$ and the equations reduce to



$$
(2lambda_2 y)'+lambda'_3=0Rightarrow 2lambda_2 y +lambda_3 = C_1
$$



and then



$$
2lambda_2 y +lambda_3 = C_1\
2lambda_2y+fracy'sqrt(y')^2+1+lambda_3 = 0
$$



or



$$
C_1 = fracy'sqrt(y')^2+1
$$



with solution



$$
y = pm fracC_1 xsqrt1-C_1^2+C_2
$$



Concluding, for $epsilon(x)ne 0;$ the solutions are $y = y^0_i+m_i(x-x_0^i);$ for $iin 1,2$



The solution for $epsilon(x) = 0;$ involves the angular circle segment.






share|cite|improve this answer























  • @GeorgeAliatimis I am applying the variations to a family of functions $y_*$. The first integral can be presented as two boundary conditions which satisfy the line functions. This is only a non rigorous presentation, handling the functional tools and the calculus of variations. It is not my purpose to develop a full theory about the theme. Regards.
    – Cesareo
    Jul 22 at 19:40










  • @GeorgeAliatimis I hope now it looks better. I am intending to introduce some ideas about how to handle state inequality restrictions.
    – Cesareo
    Jul 26 at 10:20










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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
0
down vote













Considering the problem



$$
min_y int _ (-beta,0)^Aleft(sqrt(doty(x))^2+1right) dx mbox such that x^2+y^2ge R^2
$$



we will try to give an informal introduction to the handling of this problem with the help of slack variables $epsilon(x)$ and lagrange multipliers $lambda_1(x),lambda_2(x),lambda_3(x)$



First, the inequality is converted into an equivalent equality with the contribution of the slack variable



$$
x^2+y^2 ge R^2 equiv x^2+y^2-R^2-epsilon^2(x) = 0
$$



and then the main functional reads



$$
F(x,z,y,y',epsilon,epsilon')=sqrtz^2+1+lambda_1(x^2+y^2-R^2-epsilon^2)+lambda_2(2x+2y -2epsilon epsilon'z)+lambda_3(z-y')
$$



Note the inclusion as restriction also the derivative of $x^2+y^2-R^2-epsilon^2=0$



Now applying the Euler-Lagrange conditions for stationarity we have



$$
F_y-left(F_y'right)'=2lambda_1y+2lambda_2 z+lambda_3'=0\
F_z-left(F_z'right)'=2lambda_2y+fraczsqrtz^2+1+lambda_3 = 0\
F_epsilon-left(F_epsilon'right)'=2epsilon(lambda'_2-lambda_1)=0
$$



Assuming $epsilon(x) ne 0$ we have $lambda_1=lambda'_2$ and the equations reduce to



$$
(2lambda_2 y)'+lambda'_3=0Rightarrow 2lambda_2 y +lambda_3 = C_1
$$



and then



$$
2lambda_2 y +lambda_3 = C_1\
2lambda_2y+fracy'sqrt(y')^2+1+lambda_3 = 0
$$



or



$$
C_1 = fracy'sqrt(y')^2+1
$$



with solution



$$
y = pm fracC_1 xsqrt1-C_1^2+C_2
$$



Concluding, for $epsilon(x)ne 0;$ the solutions are $y = y^0_i+m_i(x-x_0^i);$ for $iin 1,2$



The solution for $epsilon(x) = 0;$ involves the angular circle segment.






share|cite|improve this answer























  • @GeorgeAliatimis I am applying the variations to a family of functions $y_*$. The first integral can be presented as two boundary conditions which satisfy the line functions. This is only a non rigorous presentation, handling the functional tools and the calculus of variations. It is not my purpose to develop a full theory about the theme. Regards.
    – Cesareo
    Jul 22 at 19:40










  • @GeorgeAliatimis I hope now it looks better. I am intending to introduce some ideas about how to handle state inequality restrictions.
    – Cesareo
    Jul 26 at 10:20














up vote
0
down vote













Considering the problem



$$
min_y int _ (-beta,0)^Aleft(sqrt(doty(x))^2+1right) dx mbox such that x^2+y^2ge R^2
$$



we will try to give an informal introduction to the handling of this problem with the help of slack variables $epsilon(x)$ and lagrange multipliers $lambda_1(x),lambda_2(x),lambda_3(x)$



First, the inequality is converted into an equivalent equality with the contribution of the slack variable



$$
x^2+y^2 ge R^2 equiv x^2+y^2-R^2-epsilon^2(x) = 0
$$



and then the main functional reads



$$
F(x,z,y,y',epsilon,epsilon')=sqrtz^2+1+lambda_1(x^2+y^2-R^2-epsilon^2)+lambda_2(2x+2y -2epsilon epsilon'z)+lambda_3(z-y')
$$



Note the inclusion as restriction also the derivative of $x^2+y^2-R^2-epsilon^2=0$



Now applying the Euler-Lagrange conditions for stationarity we have



$$
F_y-left(F_y'right)'=2lambda_1y+2lambda_2 z+lambda_3'=0\
F_z-left(F_z'right)'=2lambda_2y+fraczsqrtz^2+1+lambda_3 = 0\
F_epsilon-left(F_epsilon'right)'=2epsilon(lambda'_2-lambda_1)=0
$$



Assuming $epsilon(x) ne 0$ we have $lambda_1=lambda'_2$ and the equations reduce to



$$
(2lambda_2 y)'+lambda'_3=0Rightarrow 2lambda_2 y +lambda_3 = C_1
$$



and then



$$
2lambda_2 y +lambda_3 = C_1\
2lambda_2y+fracy'sqrt(y')^2+1+lambda_3 = 0
$$



or



$$
C_1 = fracy'sqrt(y')^2+1
$$



with solution



$$
y = pm fracC_1 xsqrt1-C_1^2+C_2
$$



Concluding, for $epsilon(x)ne 0;$ the solutions are $y = y^0_i+m_i(x-x_0^i);$ for $iin 1,2$



The solution for $epsilon(x) = 0;$ involves the angular circle segment.






share|cite|improve this answer























  • @GeorgeAliatimis I am applying the variations to a family of functions $y_*$. The first integral can be presented as two boundary conditions which satisfy the line functions. This is only a non rigorous presentation, handling the functional tools and the calculus of variations. It is not my purpose to develop a full theory about the theme. Regards.
    – Cesareo
    Jul 22 at 19:40










  • @GeorgeAliatimis I hope now it looks better. I am intending to introduce some ideas about how to handle state inequality restrictions.
    – Cesareo
    Jul 26 at 10:20












up vote
0
down vote










up vote
0
down vote









Considering the problem



$$
min_y int _ (-beta,0)^Aleft(sqrt(doty(x))^2+1right) dx mbox such that x^2+y^2ge R^2
$$



we will try to give an informal introduction to the handling of this problem with the help of slack variables $epsilon(x)$ and lagrange multipliers $lambda_1(x),lambda_2(x),lambda_3(x)$



First, the inequality is converted into an equivalent equality with the contribution of the slack variable



$$
x^2+y^2 ge R^2 equiv x^2+y^2-R^2-epsilon^2(x) = 0
$$



and then the main functional reads



$$
F(x,z,y,y',epsilon,epsilon')=sqrtz^2+1+lambda_1(x^2+y^2-R^2-epsilon^2)+lambda_2(2x+2y -2epsilon epsilon'z)+lambda_3(z-y')
$$



Note the inclusion as restriction also the derivative of $x^2+y^2-R^2-epsilon^2=0$



Now applying the Euler-Lagrange conditions for stationarity we have



$$
F_y-left(F_y'right)'=2lambda_1y+2lambda_2 z+lambda_3'=0\
F_z-left(F_z'right)'=2lambda_2y+fraczsqrtz^2+1+lambda_3 = 0\
F_epsilon-left(F_epsilon'right)'=2epsilon(lambda'_2-lambda_1)=0
$$



Assuming $epsilon(x) ne 0$ we have $lambda_1=lambda'_2$ and the equations reduce to



$$
(2lambda_2 y)'+lambda'_3=0Rightarrow 2lambda_2 y +lambda_3 = C_1
$$



and then



$$
2lambda_2 y +lambda_3 = C_1\
2lambda_2y+fracy'sqrt(y')^2+1+lambda_3 = 0
$$



or



$$
C_1 = fracy'sqrt(y')^2+1
$$



with solution



$$
y = pm fracC_1 xsqrt1-C_1^2+C_2
$$



Concluding, for $epsilon(x)ne 0;$ the solutions are $y = y^0_i+m_i(x-x_0^i);$ for $iin 1,2$



The solution for $epsilon(x) = 0;$ involves the angular circle segment.






share|cite|improve this answer















Considering the problem



$$
min_y int _ (-beta,0)^Aleft(sqrt(doty(x))^2+1right) dx mbox such that x^2+y^2ge R^2
$$



we will try to give an informal introduction to the handling of this problem with the help of slack variables $epsilon(x)$ and lagrange multipliers $lambda_1(x),lambda_2(x),lambda_3(x)$



First, the inequality is converted into an equivalent equality with the contribution of the slack variable



$$
x^2+y^2 ge R^2 equiv x^2+y^2-R^2-epsilon^2(x) = 0
$$



and then the main functional reads



$$
F(x,z,y,y',epsilon,epsilon')=sqrtz^2+1+lambda_1(x^2+y^2-R^2-epsilon^2)+lambda_2(2x+2y -2epsilon epsilon'z)+lambda_3(z-y')
$$



Note the inclusion as restriction also the derivative of $x^2+y^2-R^2-epsilon^2=0$



Now applying the Euler-Lagrange conditions for stationarity we have



$$
F_y-left(F_y'right)'=2lambda_1y+2lambda_2 z+lambda_3'=0\
F_z-left(F_z'right)'=2lambda_2y+fraczsqrtz^2+1+lambda_3 = 0\
F_epsilon-left(F_epsilon'right)'=2epsilon(lambda'_2-lambda_1)=0
$$



Assuming $epsilon(x) ne 0$ we have $lambda_1=lambda'_2$ and the equations reduce to



$$
(2lambda_2 y)'+lambda'_3=0Rightarrow 2lambda_2 y +lambda_3 = C_1
$$



and then



$$
2lambda_2 y +lambda_3 = C_1\
2lambda_2y+fracy'sqrt(y')^2+1+lambda_3 = 0
$$



or



$$
C_1 = fracy'sqrt(y')^2+1
$$



with solution



$$
y = pm fracC_1 xsqrt1-C_1^2+C_2
$$



Concluding, for $epsilon(x)ne 0;$ the solutions are $y = y^0_i+m_i(x-x_0^i);$ for $iin 1,2$



The solution for $epsilon(x) = 0;$ involves the angular circle segment.







share|cite|improve this answer















share|cite|improve this answer



share|cite|improve this answer








edited Jul 26 at 10:13


























answered Jul 22 at 18:34









Cesareo

5,7252412




5,7252412











  • @GeorgeAliatimis I am applying the variations to a family of functions $y_*$. The first integral can be presented as two boundary conditions which satisfy the line functions. This is only a non rigorous presentation, handling the functional tools and the calculus of variations. It is not my purpose to develop a full theory about the theme. Regards.
    – Cesareo
    Jul 22 at 19:40










  • @GeorgeAliatimis I hope now it looks better. I am intending to introduce some ideas about how to handle state inequality restrictions.
    – Cesareo
    Jul 26 at 10:20
















  • @GeorgeAliatimis I am applying the variations to a family of functions $y_*$. The first integral can be presented as two boundary conditions which satisfy the line functions. This is only a non rigorous presentation, handling the functional tools and the calculus of variations. It is not my purpose to develop a full theory about the theme. Regards.
    – Cesareo
    Jul 22 at 19:40










  • @GeorgeAliatimis I hope now it looks better. I am intending to introduce some ideas about how to handle state inequality restrictions.
    – Cesareo
    Jul 26 at 10:20















@GeorgeAliatimis I am applying the variations to a family of functions $y_*$. The first integral can be presented as two boundary conditions which satisfy the line functions. This is only a non rigorous presentation, handling the functional tools and the calculus of variations. It is not my purpose to develop a full theory about the theme. Regards.
– Cesareo
Jul 22 at 19:40




@GeorgeAliatimis I am applying the variations to a family of functions $y_*$. The first integral can be presented as two boundary conditions which satisfy the line functions. This is only a non rigorous presentation, handling the functional tools and the calculus of variations. It is not my purpose to develop a full theory about the theme. Regards.
– Cesareo
Jul 22 at 19:40












@GeorgeAliatimis I hope now it looks better. I am intending to introduce some ideas about how to handle state inequality restrictions.
– Cesareo
Jul 26 at 10:20




@GeorgeAliatimis I hope now it looks better. I am intending to introduce some ideas about how to handle state inequality restrictions.
– Cesareo
Jul 26 at 10:20












 

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