Is There a Geometric Solution for the Interior Point Problem?

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    2015
In summary, the Interior Point Problem is a mathematical optimization problem used in various fields. A geometric solution for this problem involves using geometric concepts to find the optimal solution, which differs from traditional methods. The advantages of using a geometric solution include its ability to handle a larger number of constraints and variables and its intuitive understanding of the problem. However, it may not be applicable to all types of problems and may require more computational resources and specialized knowledge.
  • #1
Ackbach
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Here is this week's POTW:

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Suppose $A, B, C,$ and $D$ are points in the plane such that no three of them are collinear. If $D$ is in the interior of $\triangle ABC$, show that $| AB |+| BD |+| CD | < | AB |+| BC |+| CA |$.

Note here that $|XY|$ denotes the length of segment $XY$.

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Congratulations to MarkFL and Opalg for their correct solutions. Opalg's solution, a very clever and elegant one, is below. And I do not mean to imply that Mark's is not clever, of course.

temp.gif

This is not really a rigorous proof, but it's convincing enough for me.

Suppose that $D$ moves subject to the constraint $|BD| + |CD| =$ constant. Then it will lie on an ellipse with foci at $B$ and $C$ (the red arc in the diagram). As $D$ moves along this arc, the distance $|AD|$ will have a minimum at the point where the arc is closest to $A$. But the maximum value of $|AD|$ will occur at an endpoint of the arc. This shows that the maximum value of $|AD| + |BD| + |CD|$ cannot occur in the interior of the triangle.

Now suppose that $D$ lies on one of the edges of the triangle, say $BC$. Then $|BD| + |CD| = |BC|$. As in the previous paragraph, when $D$ moves along $BC$ the distance $|AD|$ will have a minimum (at the foot of the perpendicular from $A$), but its maximum value will occur at an endpoint of $BC$.

Thus the maximum of $|AD| + |BD| + |CD|$ occurs at one of the vertices of the triangle. Its value will then be the sum of the lengths of two of the edges of the triangle, which is certainly less than the sum of the lengths of all three edges.
 

Related to Is There a Geometric Solution for the Interior Point Problem?

1. What is the Interior Point Problem?

The Interior Point Problem is a mathematical optimization problem that involves finding the minimum value of a function while satisfying a set of constraints. It is commonly used in various fields such as engineering, economics, and computer science.

2. What is a geometric solution for the Interior Point Problem?

A geometric solution for the Interior Point Problem is a method that uses geometric concepts, such as lines and curves, to find the optimal solution. This approach is often more intuitive and easier to visualize compared to traditional numerical methods.

3. How does a geometric solution differ from other methods?

A geometric solution differs from other methods, such as the Simplex algorithm or the Barrier method, in its approach to finding the optimal solution. Instead of iteratively searching through a set of feasible solutions, a geometric solution uses geometric properties to directly find the optimal point.

4. What are the advantages of using a geometric solution for the Interior Point Problem?

One of the main advantages of using a geometric solution is its ability to handle a larger number of constraints and variables compared to traditional methods. It also provides a more intuitive understanding of the problem and can often lead to faster convergence to the optimal solution.

5. Are there any limitations to using a geometric solution for the Interior Point Problem?

While geometric solutions can be more efficient and intuitive, they may not always be applicable to complex problems or problems with non-linear constraints. In addition, implementing a geometric solution may require more computational resources and specialized knowledge compared to traditional methods.

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