Optimization problem on function

In summary, the maximum value of the expression f(x) is undefined for x>1, and the minimum value can be found by applying the AM-GM inequality on the terms in the expression. The term 1/(x-1/x) is positive in the given domain, allowing for the application of the AM-GM inequality.
  • #1
juantheron
247
1
Maximum value of expression $\displaystyle f(x) = \frac{x^4-x^2}{x^6+2x^3-1}\;,$ where $x>1$
 
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  • #2
My solution:

If we want to maximize $f(x)=\dfrac{x^4-x^2}{x^6+2x^3-1}=\dfrac{1}{\left(\dfrac{x^6+2x^3-1}{x^4-x^2}\right)}$, this could be done if we are to find the minimum value for the expression $\dfrac{x^6+2x^3-1}{x^4-x^2}$.

Note that

$\begin{align*}\dfrac{x^6+2x^3-1}{x^4-x^2}&=x^2+1+\dfrac{2x^3+x^2-1}{x^4-x^2}\\&=x^2+1+\dfrac{2x^3}{x^2(x^2-1)}+\dfrac{x^2-1}{x^2(x^2-1)}\\&=x^2+1+\dfrac{2x}{x^2-1}+\dfrac{1}{x^2}\\&=\left(x-\dfrac{1}{x}\right)^2+\dfrac{2}{\left(x-\dfrac{1}{x}\right)}+3\\&=\left(x-\dfrac{1}{x}\right)^2+\dfrac{1}{\left(x-\dfrac{1}{x}\right)}+\dfrac{1}{\left(x-\dfrac{1}{x}\right)}+3---(*)\end{align*}$

We then apply the AM-GM to the first three terms of the expression (*) and that gives

$\left(x-\dfrac{1}{x}\right)^2+\dfrac{1}{\left(x-\dfrac{1}{x}\right)}+\dfrac{1}{\left(x-\dfrac{1}{x}\right)}\ge 3$

(*Equality occurs when $x^2-x-1=\left(x-\dfrac{1}{2}\right)^2-\dfrac{5}{4}=0$.)

Therefore, the minimum value for $\dfrac{x^6+2x^3-1}{x^4-x^2}$ is $3+3=6$ and that results in a maximum of

$f(x)=\dfrac{x^4-x^2}{x^6+2x^3-1}=\dfrac{1}{\left(\dfrac{x^6+2x^3-1}{x^4-x^2}\right)}$ as $\dfrac{1}{6}$
.
 
  • #3
Hi jacks again, :)

I want to apologize for not formulating my solution above in a very good way.:(

I forgot to mention that the term $\dfrac{1}{\left(x-\dfrac{1}{x}\right)}$ is a positive in the given domain where $x>1$, therefore, I could then apply the AM-GM on those terms to look for the minimum value for $\left(x-\dfrac{1}{x}\right)^2+\dfrac{1}{\left(x-\dfrac{1}{x}\right)}+\dfrac{1}{\left(x-\dfrac{1}{x}\right)}$.

Sorry about that.:eek:
 
  • #4
Thanks anemone for Nice Solution::

My Solution is Similar To Yours::

Given \(\displaystyle \displaystyle f(x) = \frac{x^4-x^2}{x^6+2x^3-1}\;,\) Where \(\displaystyle x>1\)

So We can Simplify \(\displaystyle \displaystyle f(x) = \frac{x^4-x^2}{x^6+2x^3-1} = \frac{x^3\cdot \left(x-\frac{1}{x}\right)}{x^3\cdot \left(x^3-\frac{1}{x^3}\right)+2} = \frac{\left(x-\frac{1}{x}\right)}{\left(x^3-\frac{1}{x^3}\right)+2}\)

Now Let \(\displaystyle u = \left(x-\frac{1}{x}\right)>0\;,\left(x^3-\frac{1}{x^3}\right) = \left(x-\frac{1}{x}\right)^3+3\left(x-\frac{1}{x}\right)\;,x>1.\)

So \(\displaystyle \displaystyle f(u) = \frac{u}{u^3+3u+2}=\frac{u}{u^3+u+u+u+1+1}\leq \frac{u}{6\sqrt[6]{u^3\cdot u \cdot \cdot u \cdot u\cdot 1\cdot 1}} = \frac{1}{6}\)

Using \(\displaystyle \bf{A.M\geq G.M}\) and above equality hold when \(\displaystyle \displaystyle u = 1\Rightarrow \left(x-\frac{1}{x}\right) = 1\Rightarrow x= \frac{\sqrt{5}+1}{2}\)
 
  • #5


I would approach this optimization problem by first understanding the function and its properties. The given expression is a rational function, which means it is a ratio of two polynomials. It is also specified that the value of x must be greater than 1.

To find the maximum value of the function, we can use calculus and take the derivative of the function with respect to x. This will give us the critical points of the function where the maximum or minimum values can occur.

Taking the derivative of the given function, we get:

$\displaystyle \frac{d}{dx}f(x) = \frac{(x^4-x^2)(6x^5+6x^2)-(x^6+2x^3-1)(4x^3-2x)}{(x^6+2x^3-1)^2}$

Setting this derivative equal to 0 and solving for x, we get the critical point at x = 1. This means that the maximum value of the function occurs at x = 1.

To confirm this, we can also take the second derivative of the function and evaluate it at x = 1. If the second derivative is positive, then the critical point at x = 1 is a minimum and if it is negative, then it is a maximum.

$\displaystyle \frac{d^2}{dx^2}f(x) = \frac{(x^6+2x^3-1)^2(12x^4+12x)-(x^4-x^2)(2(6x^5+6x^2)+4x^3-2x)(2(6x^3+2x)-4)}{(x^6+2x^3-1)^4}$

Evaluating this at x = 1, we get a positive value. This confirms that x = 1 is a local maximum point.

Therefore, the maximum value of the given expression is $\displaystyle f(1) = \frac{1^4-1^2}{1^6+2(1^3)-1} = \frac{0}{2} = 0$.

In conclusion, the optimization problem on the given function has a maximum value of 0, which occurs at x = 1. This solution can also be verified by plotting the function and observing that it has a local maximum at x = 1.
 

FAQ: Optimization problem on function

1. What is an optimization problem on a function?

An optimization problem on a function is a mathematical problem that involves finding the maximum or minimum value of a given function, either with or without constraints. It is commonly used to model real-world scenarios and make decisions for the best possible outcome.

2. How do you solve optimization problems on functions?

Optimization problems on functions can be solved using various methods such as calculus, algebra, and computer algorithms. The most common approach is to use calculus to find the critical points of the function (where the derivative is equal to 0) and then determine if they correspond to a maximum or minimum value.

3. What are some examples of optimization problems on functions?

Examples of optimization problems on functions include finding the maximum profit for a business, minimizing the time it takes to complete a project, and maximizing the efficiency of a manufacturing process. These types of problems can be found in various fields such as economics, engineering, and computer science.

4. What is the difference between a global and local optimum in optimization problems?

A global optimum in an optimization problem on a function is the absolute highest or lowest value of the function. It is the best possible solution regardless of where the function is evaluated. A local optimum, on the other hand, is the highest or lowest value within a specific region of the function. It may not be the best overall solution, but it is the best within that particular region.

5. What are some challenges in solving optimization problems on functions?

Solving optimization problems on functions can be challenging due to the complexity of the function, the presence of multiple variables, and the need to consider constraints. It also requires a strong understanding of mathematical concepts, such as derivatives and integrals. Additionally, finding the global optimum can be difficult and may require advanced techniques such as gradient descent or genetic algorithms.

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