- #1
Albert1
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$a>1,b>1$
find the minimum value of
$\dfrac {a^2}{b-1}+\dfrac {b^2}{a-1}$
find the minimum value of
$\dfrac {a^2}{b-1}+\dfrac {b^2}{a-1}$
Albert said:$a>1,b>1$
find the minimum value of
$\dfrac {a^2}{b-1}+\dfrac {b^2}{a-1}$
very good I like Serena !I like Serena said:Both partial derivatives have to be zero.
From those equations it follows that:
\begin{cases}2a(a-1)^2&=b^2(b-1) \\ a^2(a-1)&=2b(b-1)^2\end{cases}
Multiplying those equations gives us:
$$2a^3(a-1)^3=2b^3(b-1)^3 \Rightarrow a(a-1) = b(b-1)$$
Substitute back into the equations to find:
$$\begin{cases}2a(a-1)^2&=ab(a-1) \\ ab(b-1)&=2b(b-1)^2\end{cases}
\Rightarrow \begin{cases}2(a-1)&= b\\ a&=2(b-1)\end{cases}
\Rightarrow a = b = 2$$
The corresponding minimum value is $8$.
The minimum value of a complex equation helps us to determine the lowest possible output or solution of the equation. This can be useful in various applications such as optimization problems in mathematics and physics, or in analyzing the behavior of a system.
To find the minimum value of a complex equation, we can use calculus techniques such as differentiation and optimization. By taking the derivative of the equation and setting it equal to zero, we can solve for the critical points which will give us the minimum value of the equation.
Yes, the minimum value of a complex equation can be negative. This means that the lowest possible output or solution of the equation is a negative number. It is important to consider the context of the equation and make sure the negative value makes sense in the given scenario.
The absolute minimum of a complex equation is the lowest possible output or solution of the equation over its entire domain. On the other hand, a local minimum is the lowest possible output or solution of the equation within a specific interval or region of the domain. A local minimum may or may not be the absolute minimum.
Yes, technology such as graphing calculators or computer software can be used to find the minimum value of a complex equation. These tools use numerical methods to approximate the minimum value, which can be helpful in solving complex equations that are difficult to solve analytically.