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Mathe III Lecture 8 Mathe III Lecture 8
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2 Constrained Maximization Lagrange Multipliers At a maximum point of the original problem the derivatives of the Lagrangian vanish (w.r.t. all variables).
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3 Constrained Maximization Lagrange Multipliers Intuition x y iso- f curves f(x,y) = K 5 6 20 5 20 assume +
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4 Constrained Maximization Lagrange Multipliers Intuition x y
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5 Constrained Maximization Lagrange Multipliers Intuition x y
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6 Constrained Maximization Lagrange Multipliers Intuition x y
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7 Constrained Maximization Lagrange Multipliers Intuition x y
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8 Constrained Maximization Lagrange Multipliers Intuition A stationary point of the Lagrangian
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9 Constrained Maximization The general case
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10 Constrained Maximization The general case differentiating w.r.t. x s, s = m+1,…,n
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11 Constrained Maximization The general case
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12 Constrained Maximization The general case
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13 Constrained Maximization The general case
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14 Constrained Maximization The general case The derivatives w.r.t. x m+1,…..x n are zero at a max (min) point.
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15 Constrained Maximization The general case
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16 Constrained Maximization The general case But:
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17 Constrained Maximization The general case
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18 Constrained Maximization The general case We need to show this for s = 1,….m
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19 Constrained Maximization The general case
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20 Constrained Maximization The general case
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21 Constrained Maximization The general case define:
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22 Constrained Maximization Interpretation of the multipliers
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23 Constrained Maximization Interpretation of the multipliers But:
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24 Constrained Maximization Interpretation of the multipliers
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25 Constrained Maximization Interpretation of the multipliers 9
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