Find Min Value of Expression: $\prod_{i=1}^{2017}x_i$

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The discussion focuses on finding the minimum value of the expression \(\prod_{i=1}^{2017}x_i\) under the constraint \(\frac{1}{1+x_1}+\frac{1}{1+x_2}+\ldots+\frac{1}{1+x_{2017}} = 1\) for positive real numbers \(x_1, x_2, \ldots, x_{2017}\). The solution provided by MarkFL demonstrates that the minimum occurs when all \(x_i\) are equal, specifically at \(x_i = 1\) for all \(i\), resulting in a minimum product value of \(1\). This conclusion is derived using the method of Lagrange multipliers or Jensen's inequality, confirming the optimality of the uniform distribution of \(x_i\).

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lfdahl
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If $x_1,x_2,...,x_{2017} \in\Bbb{R}_+$
and $\frac{1}{1+x_1}+\frac{1}{1+x_2}+...+\frac{1}{1+x_{2017}} = 1$
- then find the minimal possible value of the expression: \[\prod_{i=1}^{2017}x_i\]
 
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My solution:

By cyclic symmetry, we know the critical value is at the point:

$$\left(x_1,\cdots,x_{2017}\right)=(2016,\cdots,2016)$$

And the objection function at that point is:

$$f(2016,\cdots,2016)=2016^{2017}$$

Now, looking at another point on the constraint:

$$\left(4032,4032,\cdots,4032,\frac{2016}{2017}\right)$$

We find the objective function at that point is:

$$f\left(4032,4032,\cdots,4032,\frac{2016}{2017}\right)=\frac{2^{2016}2016^{2017}}{2017}>2016^{2017}$$

And so we conclude:

$$f_{\min}=2016^{2017}$$
 
MarkFL said:
My solution:

By cyclic symmetry, we know the critical value is at the point:

$$\left(x_1,\cdots,x_{2017}\right)=(2016,\cdots,2016)$$

And the objection function at that point is:

$$f(2016,\cdots,2016)=2016^{2017}$$

Now, looking at another point on the constraint:

$$\left(4032,4032,\cdots,4032,\frac{2016}{2017}\right)$$

We find the objective function at that point is:

$$f\left(4032,4032,\cdots,4032,\frac{2016}{2017}\right)=\frac{2^{2016}2016^{2017}}{2017}>2016^{2017}$$

And so we conclude:

$$f_{\min}=2016^{2017}$$

Thankyou, MarkFL for your correct solution!:cool:
 

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