MHB 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 product of positive real numbers \( \prod_{i=1}^{2017} x_i \) under the constraint that the sum \( \frac{1}{1+x_1} + \frac{1}{1+x_2} + ... + \frac{1}{1+x_{2017}} = 1 \). Participants explore various mathematical approaches and techniques to derive the minimum. A correct solution is acknowledged by a user named MarkFL, indicating that the problem has been successfully solved. The conversation highlights the importance of understanding constraints in optimization problems. The final result emphasizes the relationship between the variables and their product in the context of the given condition.
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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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