With usual notations, the properties of maxima and minima under various conditions are __________.

I

II

(P)

Maxima

(i)

r t− s= 0

(Q)

Minima

(ii)

rt − s2 < 0

(R)

Saddle Point

(iii)

rt − s2 > 0, r > 0

(S)

 Case of failure

(iv)

rt − s2 > 0, r < 0

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  1. (P) - (i), (Q) - (iii), (R) - (iv), (S) - (ii) 
  2. (P) - (ii), (Q) - (i), (R) - (iii), (S) - (iv) 
  3. (P) - (iii), (Q) - (iv), (R) - (ii), (S) - (i) 
  4. (P) - (iv), (Q) - (iii), (R) - (ii), (S) - (i)

Answer (Detailed Solution Below)

Option 1 : (P) - (i), (Q) - (iii), (R) - (iv), (S) - (ii) 
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Detailed Solution

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The correct answer is Option 1.

key-point-imageKey Points

  • Maxima: The condition for a maximum point is given by the determinant condition rt − s² > 0 and r < 0.
  • Minima: The condition for a minimum point is given by the determinant condition rt − s² > 0 and r > 0.
  • Saddle Point: The condition for a saddle point is given by the determinant condition rt − s² < 0.
  • Case of Failure: The case of failure is when the determinant condition rt − s² = 0.

additional-information-imageAdditional Information

  • The second-order partial derivatives test is used to classify critical points as maxima, minima, or saddle points.
  • The critical points are found by setting the first-order partial derivatives to zero and solving for the variables.
  • The determinant of the Hessian matrix, given by D = rt − s², plays a crucial role in determining the nature of the critical points.
  • Understanding these conditions is essential for solving optimization problems in calculus and applied mathematics.
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