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''Solution'':  ''g(x,y) = x<sup>2</sup> + y<sup>2</sup> - 2 = 0''.  We want to maximize the area of a rectangle.  Assuming symmetry about the origin (we could always map a solution to a symmetric one), the area ''f(x,y)'' that we want to maximize equals 2x times 2y:  ''f(x,y) = 4xy''.  From the equation for the Lagrangian multiplier above, and setting the ''x'' and ''y'' coefficients equal to each other, we can generate these two equations:
 
''Solution'':  ''g(x,y) = x<sup>2</sup> + y<sup>2</sup> - 2 = 0''.  We want to maximize the area of a rectangle.  Assuming symmetry about the origin (we could always map a solution to a symmetric one), the area ''f(x,y)'' that we want to maximize equals 2x times 2y:  ''f(x,y) = 4xy''.  From the equation for the Lagrangian multiplier above, and setting the ''x'' and ''y'' coefficients equal to each other, we can generate these two equations:
   −
:4y = \lambda 2x
+
:4y = λ2x
−
:4x = \lambda 2y
+
:4x = λ2y
    
Solving each for lambda (λ) demonstrates that x must be equal to y, and plugging that into the equation for ''g'' yields:
 
Solving each for lambda (λ) demonstrates that x must be equal to y, and plugging that into the equation for ''g'' yields:
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