An inequality on the diagonals of a convex quadrilateral

In summary, the conversation discusses the lower bound for the inequality AC + BD < p in a convex quadrilateral ABCD with midpoints a, b, c, and d and perimeter p. One idea is to use the fact that the perimeter is the sum of its sides and the midpoints to express AC + BD in terms of the midpoints and find the lower bound using properties of convex quadrilaterals.
  • #1
Derrida
2
0
Hi,

It is well known by Varignon's Theorem and the Triangle Inequality that in a convex quadrilateral ABCD with midpoints a of side AB, b of side BC, ... d of side DA and perimeter p,

\[ AC + BD < p\]


where AC and BD are the diagonals of the quadrilateral. However, how do I obtain the lower bound to this inequality, namely that


\[ \frac{p}{2} < AC + BD \]


I'm not looking for answers to this question, only ideas that help guide me to the solution of this problem. Thanks very much.

Sorry I'm not very familiar with the latex commands in this forum, I tried enclosing [itex] [/itex] around my formulas but something funny appears (Both display just AC + BD < like that).
 
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  • #2
One idea is to use the fact that the perimeter of a convex quadrilateral is the sum of its sides. Thus, p = AB + BC + CD + DA. Also, since the midpoints of the sides are known, we can express each side as twice the sum of two of the midpoints. For example, AB = 2(a + b). Combining these two equations gives us p = 2(a + b + c + d). We can then use this equation to substitute for p in the first inequality. This will give us an expression for AC + BD in terms of the midpoints. We can then try to use the Triangle Inequality or other properties of convex quadrilaterals to find the lower bound for AC + BD.
 

FAQ: An inequality on the diagonals of a convex quadrilateral

1. What is an inequality on the diagonals of a convex quadrilateral?

An inequality on the diagonals of a convex quadrilateral refers to the relationship between the lengths of the two diagonals of a four-sided shape with all its angles measuring less than 180 degrees. In this case, the sum of the lengths of the two diagonals is always greater than the sum of the lengths of any two sides of the quadrilateral.

2. How is this inequality proven?

This inequality can be proven using various methods such as the Triangle Inequality Theorem, which states that the sum of any two sides of a triangle must be greater than the third side. Additionally, the properties of convex quadrilaterals, such as the fact that their diagonals bisect each other, can also be used to prove this inequality.

3. Why is this inequality important?

This inequality is important because it helps to establish the properties and relationships of convex quadrilaterals. It also has various applications in geometry and other fields, such as in optimization problems where finding the maximum or minimum value of a variable is involved.

4. Can this inequality be applied to non-convex quadrilaterals?

No, this inequality only applies to convex quadrilaterals. In non-convex quadrilaterals, the sum of the lengths of the two diagonals can be equal to or less than the sum of the lengths of any two sides, making this inequality invalid.

5. Are there any exceptions to this inequality?

Yes, there are some exceptions to this inequality. For example, in the case of a square, the sum of the lengths of the two diagonals is equal to the sum of the lengths of any two sides. This is because all the angles of a square measure 90 degrees, making it a special case of a convex quadrilateral.

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