Ripetizioni di AnalisiMaths for EconomicsUnlockedITSearch

Exercises

Unconstrained and constrained extrema

Problems to solve on your own. The final solution appears with the button below each problem; each exercise also has its own page, to share with the link.

1. Stationary point of a second-degree polynomial

Find and classify the stationary points of .

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2. Classification with the Hessian of a polynomial with a mixed term

Find and classify the stationary points of .

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3. A minimum and a saddle point

Find and classify the stationary points of .

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4. Stationary points of a third-degree polynomial in two variables

Find and classify the stationary points of .

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5. Stationary point of an exponential function

Find and classify the stationary points of .

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6. A case with zero Hessian determinant

Verify that the origin is the only stationary point of , that at it the Hessian test does not allow a conclusion, and classify it.

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7. Absolute extrema on a square

Find the absolute maximum and minimum of on the square .

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8. Absolute extrema on a disk

Find the absolute maximum and minimum of on the disk .

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9. Lagrange multipliers on an ellipse

Find the maximum and minimum of on the ellipse .

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10. Constrained minimum with the substitution method

Find the minimum of on the line and state whether has a maximum on the line.

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11. Monopolist with two independent goods

A monopolist sells two goods with inverse demands and and has cost . Find the quantities, the prices and the maximum profit.

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12. Maximum profit in perfect competition with two goods

A firm in perfect competition sells two goods at prices of and euros, with cost . Find the quantities that maximize profit and the maximum profit.

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13. Optimal bundle of the consumer

A consumer has utility and an income of euros, with prices and euros. Find the optimal bundle, with , and the maximum utility.

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14. Minimum-cost combination of factors

A firm has production function and pays euros for labor and euros for capital per unit. Find the combination of factors that produces at minimum cost and the minimum cost.

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