# quasi-concavity

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How to apply matrices, Jacobian, quasi-concavity, Hessian, Kuhn-Tucker conditions?

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please refer to the attachment.

1. (a) Prove that quasi-concavity does not imply concavity.

The function f(x,y) defined by:

is quasi-concave, but not concave.

Here's the graph in two dimensions:

(b) Let Æ’ be a C2 function on a convex subset D of R2. Assume that Æ’ is strictly monotonic increasing. Prove that

(i) if the bordered Hessian determinant of Æ’ is positive (negative) for all x Ð„ D, then Æ’ is quasi-concave (quasi-convex) on D; and

The bordered Hessian matrix for the function is

| f_11 f_12 ... f_1n f_1 |

| f_21 f_22 ... f_2n f_2 |

H = | ...

#### Solution Summary

The expert prove that quasi-concavity does not imply concavity.

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