What is the Minimum Value of a Mathematical Function with Specific Constraints?

In summary, the minimum value of $\dfrac{1}{a-b}+\dfrac{1}{b-c}+\dfrac{1}{a-c}$ for real $a>b>c$ given $(a-b)(b-c)(a-c)=17$ is $\dfrac5{\sqrt[3]{68}}$.
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anemone
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Find the minimum of $\dfrac{1}{a-b}+\dfrac{1}{b-c}+\dfrac{1}{a-c}$ for real $a>b>c$ given $(a-b)(b-c)(a-c)=17$.
 
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anemone said:
Find the minimum of $\dfrac{1}{a-b}+\dfrac{1}{b-c}+\dfrac{1}{a-c}$ for real $a>b>c$ given $(a-b)(b-c)(a-c)=17$.
[sp]Since the problem only depends on the differences between the numbers, we may as well add $-c$ to each of them, so that $c$ becomes $0$.

Then we want to minimise $S \overset{\text{def}}{=} \dfrac1{a-b} + \dfrac1a + \dfrac1b$ subject to the constraint $ab(a-b) = 17.$

Write the constraint as $ab^2 - a^2b + 17 = 0$ and consider it as a quadratic in $b$. Its discriminant is $a^4 - 68a$, and this must be non-negative if there is to be a real solution for $b$. Therefore $a^3 - 68 \geqslant0$, or $a\geqslant \sqrt[3]{68}.$

Next, $S = \dfrac{ab + (a+b)(a-b)}{ab(a+b)} = \dfrac{a^2 + ab-b^2}{17} = \dfrac{a^2}{17} + \dfrac{a^2b - ab^2}{17a} = \dfrac{a^2}{17} + \dfrac1a.$ For $a>0$, this has its minimum value when $a = \sqrt[3]{17/2}.$ But that is less than $\sqrt[3]{68}.$ So the minimum value of $S$ occurs when $a=\sqrt[3]{68},$ and $S$ is then equal to $\dfrac5{\sqrt[3]{68}}.$[/sp]
 

Related to What is the Minimum Value of a Mathematical Function with Specific Constraints?

1. What is an optimization challenge?

An optimization challenge is a problem that requires finding the best possible solution from a set of possible options. It involves maximizing or minimizing a certain objective function while considering various constraints.

2. Why are optimization challenges important?

Optimization challenges are important because they can help improve efficiency, reduce costs, and increase productivity in various industries. They also provide a way to solve complex problems that have multiple variables and constraints.

3. What are some common techniques used in optimization challenges?

Some common techniques used in optimization challenges include linear programming, dynamic programming, heuristics, and metaheuristics. These techniques use mathematical and computational methods to find optimal solutions.

4. How do you approach an optimization challenge?

The first step in approaching an optimization challenge is to clearly define the problem and the desired outcome. Then, gather all necessary data and identify any constraints. Next, choose an appropriate optimization technique and apply it to the problem. Finally, evaluate the results and make any necessary adjustments to improve the solution.

5. What are some examples of real-world optimization challenges?

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