What is a Suitable Concave Function in 2 Variables for Modelling?

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The discussion centers on finding a suitable concave function in two variables, X and Y, for modeling purposes. The function must satisfy specific conditions: it should be negative for values less than 0.5, equal to zero at (0.5, 0.5), and positive for values greater than 0.5. A proposed solution is the function f(x,y) = ln(x + 1/2) + ln(y + 1/2), which meets the concavity requirement as both second-order partial derivatives with respect to X and Y are negative.

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I need a concave function in 2 variables X and Y for some modelling I'm doing.

For 0<x<1 and 0<y<1, the function needs to satisfy the following:

f(x,y) < 0 for x<0.5 and/or y<0.5
f(x,y) = 0 for x=0.5 and y=0.5
f(x,y) > 0 for x>0.5 and y>0.5

MUST be concave.. i.e. second order partials wrt X and Y must both be < 0.

My maths was never that good and I can't seem to make any progress here.. can anyone help out? Thanks
 
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Hi johnd17! Welcome to PF! :smile:

What about:
[tex]f(x,y) = \ln(x + \frac 1 2) + \ln(y + \frac 1 2)[/tex]
 

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