Can the MVDT be used to prove an inequality in economics?

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The discussion centers on using the Mean Value Theorem (MVDT) to prove an inequality in economics involving supply and demand functions, S(x) and D(x). The user proposes that if S(x) is strictly increasing and D(x) is strictly decreasing, then the intersection points of these functions imply that if S(x1) = D(x1) = Q1, then S(x2) = D(x2) = Q2 must lead to Q2 > Q1. The conclusion drawn is that x1 must equal x2, and thus Q2 can be expressed as Q1 + ε, confirming the inequality.

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Bipolarity
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I'm trying to prove something small in economics using MVDT but can't seem to work it out:

So consider: S(x) and D(x) such that:

S' > 0 > D'
S(x_{1}) = D(x_{1}) = Q_{1}
S(x_{2}) + \epsilon = D(x_{2}) + \epsilon = Q_{2}

Then can I prove the following?
x_{2} = x_{1}
Q_{2} > Q_{1}

I've tried to define a function that is the difference between S and D and then apply the mean value theorem, but it seems like I can't get where I want.

By the way there may not be an answer since I made the problem up. But instinct tells me this is doable, I just can't figure out how.

Thanks for your help.

BiP
 
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Intuitively I would think because S(x) is strictly increasing and D(x) is strictly decreasing, that if they intersect at one point (Q_1) then they cannot intersect at another point. So if you assume your assumptions, I would say, yes, x_1 = x_2 and because of that, Q_2 > Q_1, namely, Q_2 = Q_1 + \epsilon.

Here would be my pseudo proof: Show that x_1 = x_2 by contradiction (by assuming intersection at two points). Then show Q_2 = Q_1 + \epsilon which implies Q_2 > Q_1.

Someone else can chime in with a better proof idea if they want.
 
Yes my intuition was also similar, I just wanted to formalize it. Thanks though!

BiP
 

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