Maximizing problem with an inequality constraint.

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The discussion focuses on maximizing a function with an inequality constraint, specifically using Kuhn-Tucker conditions. The user has successfully ruled out the first two possibilities and identified that in the third case, the value of lambda is 2. However, there is confusion about how the values of x1 and x2 were determined, particularly why x2 is set to 10. The conclusion is that by returning to the original conditions, it is evident that the maximum occurs when x2 equals 10, resulting in a maximum value of y equal to 20. This highlights the importance of understanding both the constraints and the function being maximized.
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Hello I have a worked example where I have to maximize a function with an inequality constraint. The problem is worked out below.

https://zgqqmw.sn2.livefilestore.com/y1pLc13HVWpA9dATZEzikySeSMBN2hn1mJCw71rJ5vvUJcr9W7KBPFkOz7HQEppa6EPbLi5yyAwDagh3ezF_7eyVL6tBK7q6ise/maxProbem.png?psid=1

I know how to get the kuhn-tucker conditions in the first step. I also understand how the first two possibilities (i) and (ii) are ruled out. In the third one the value of \lambda is 2. But how did the problem work out the value of and x2 to be 10?

Thanks.
 

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In case (iii), x_1=0. Why not just go back to the original conditions, you are trying to maximize y=2*x_2 subject to the constraint x_2<=10, so clearly we have a max when x_2=10, thus y=20.
 

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