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QUESTION FOUR Find the minimum and the maximum values of \[ f(x, y)=8 x^{2}-2 y \] subject to the constraint \( x^{2}+y^{2}=1 \) QUESTION FIVE Find the minimum and maximum values of \[ f(x, y, z)=y^{2}-10 z \] subject to the constraint \( x^{2}+y^{2}+z^{2}=36 \)

Ask by Salazar Burgess. in Kenya
Dec 02,2024

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- For Question Four: Minimum value is -2, Maximum value is \( \frac{65}{8} \). - For Question Five: Minimum value is -60, Maximum value is 61.

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To find the minimum and maximum values of \( f(x, y) = 8x^2 - 2y \) subject to the constraint \( x^2 + y^2 = 1 \), we can use the method of Lagrange multipliers. Setting \( g(x, y) = x^2 + y^2 - 1 = 0 \), we form the equations: 1. \( \nabla f = \lambda \nabla g \) 2. The constraint \( g(x, y) = 0 \) This gives us the system of equations to solve for \( \lambda \), \( x \), and \( y \). By finding critical points and evaluating them along the circle \( x^2 + y^2 = 1 \), you can determine the minimum and maximum values. Similarly, for \( f(x, y, z) = y^2 - 10z \) with the constraint \( x^2 + y^2 + z^2 = 36 \), we can again apply the method of Lagrange multipliers. The computations will follow the same logic: find critical points and evaluate \( f \) at those points to find its minimum and maximum on the sphere defined by the constraint. Now let's dive into some historical snippets! In 1828, mathematicians like Augustin-Louis Cauchy and Joseph-Louis Lagrange started laying down the groundwork for optimization techniques. They sound like they're from a storybook but believe it or not, they transformed mathematics with concepts still used today! Their work led to ways we can maximize profits or minimize costs, themes that echo in countless modern industries. Moreover, the real-world applications of optimization are truly fascinating. Take logistics, for example. Companies like Amazon use complex algorithms to minimize delivery costs and times while maximizing efficiency. It’s a great reminder that the math we study in textbooks is often the backbone of tech giants, turning complex equations into seamless experiences, like your package arriving at your doorstep faster than you can say "calculus"!

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