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Problem 152

Find the critical points and the nature of each critical point (i.e., relative maximum, relative minimum, or saddle point) for: a) \(f(x, y)=x^{2}-2 x y+2 y^{2}+x-5\) b) $\mathrm{f}(\mathrm{x}, \mathrm{y})=(1-\mathrm{x})(1-\mathrm{y})(\mathrm{x}+\mathrm{y}-1)$.

Short Answer

Expert verified
The critical points and their nature for the given functions are: a) For \(f(x, y)=x^{2}-2 x y+2 y^{2}+x-5\), there is one critical point at \(\left(-\frac{1}{2}, 0\right)\), which is a relative minimum. b) For \(f(x, y)=(1-x)(1-y)(x+y-1)\), there are two critical points at \((0,0)\) and \((1,1)\). However, the second partial derivatives test is inconclusive, and we cannot determine their nature using this method.
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Step 1: Find first-order partial derivatives

Compute the partial derivatives of the function with respect to x and y. \[f_x = \frac{\partial f}{\partial x} = 2x - 2y + 1\] \[f_y = \frac{\partial f}{\partial y} = -2x + 4y - 1\]

Step 2: Set partial derivatives equal to zero

To find the critical points, we need to solve the following system of equations: \[2x - 2y + 1= 0\] \[-2x + 4y - 1= 0\]

Step 3: Solve the system of equations

We can solve the system of equations by substitution or elimination method. Here, we use the elimination method. \[2(2x - 2y + 1) + (-2x + 4y - 1) = 0\] \[4x - 4y + 2 - 2x + 4y - 1 = 0\] \[2x + 1 = 0\] \[x = -\frac{1}{2}\] Now, substitute x back into one of the original equations: \[-2\left(-\frac{1}{2}\right) + 4y - 1= 0\] \[1 + 4y - 1= 0\] \[4y = 0\] \[y = 0\] The critical point is \(\left(-\frac{1}{2}, 0\right)\).

Step 4: Analyze the critical point

To determine the nature of the critical point, we will compute the second-order partial derivatives and use the discriminant test. Second-order partial derivatives: \[f_{xx} = \frac{\partial^2 f}{\partial x^2} = 2\] \[f_{xy} = \frac{\partial^2 f}{\partial x\partial y} = -2\] \[f_{yy} = \frac{\partial^2 f}{\partial y^2} = 4\] Discriminant: \[D = f_{xx}f_{yy} - f_{xy}^2 = (2)(4) - (-2)^2 = 8 - 4 = 4\] Since \(D > 0\) and \(f_{xx} > 0\), the critical point \(\left(-\frac{1}{2}, 0\right)\) is a relative minimum. b) \(f(x, y)=(1-x)(1-y)(x+y-1)\)

Step 1: Find first-order partial derivatives

Compute the partial derivatives of the function with respect to x and y. \[f_x = (1 - y)(x + y - 1) - (1 - x)(1 - y)\] \[f_y = (1 - x)(x + y - 1) - (1 - x)(1 - y)\]

Step 2: Set partial derivatives equal to zero

To find the critical points, we need to solve the following system of equations: \[(1 - y)(x + y - 1) - (1 - x)(1 - y)= 0\] \[(1 - x)(x + y - 1) - (1 - x)(1 - y)= 0\]

Step 3: Solve the system of equations

We can solve the system of equations by expressing x and y in terms of a single variable. Since both equations look almost the same, we can use the similarity to equate them and solve for the unknown variable. Here, we equate both equations: \[(1 - y)(x + y - 1) - (1 - x)(1 - y)= (1 - x)(x + y - 1) - (1 - x)(1 - y)\] Simplifying the equation, we get: \[x = y\] Now, substitute x = y back into one of the original equations: \[ (1 - y)(y + y - 1) - (1 - y)(1 - y) = 0\] \[2y(1 - y) - (1 - y)^2 = 0\] Solve for y: \[y(2 - 2y - 1 + 2y) = (1 - y)(1 - y)= 0\] \[y = 0 \quad \text{or} \quad y = 1\] The critical points are \((0,0)\) and \((1,1)\).

Step 4: Analyze the critical points

To determine the nature of the critical points, we will compute the second-order partial derivatives and use the discriminant test. First, simplify the expressions for the first-order derivatives: \[f_x = x - y\] \[f_y = y - x\] Second-order partial derivatives: \[f_{xx} = \frac{\partial^2 f}{\partial x^2} = 1\] \[f_{xy} = \frac{\partial^2 f}{\partial x\partial y} = -1\] \[f_{yy} = \frac{\partial^2 f}{\partial y^2} = 1\] Discriminant: \[D = f_{xx}f_{yy} - f_{xy}^2 = (1)(1) - (-1)^2 = 1 - 1 = 0\] Since \(D = 0\), the discriminant test is inconclusive. We cannot determine the nature of the critical points \((0,0)\) and \((1,1)\) using the second partial derivatives.

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Most popular questions from this chapter

Chapter 6

Minimize \(\mathrm{f}(\mathrm{x}, \mathrm{y})=\mathrm{x}^{2}+\mathrm{y}^{2}\) subject to $\mathrm{g}(\mathrm{x}, \mathrm{y})=(\mathrm{x}-1)^{3}-\mathrm{y}^{2}=0$ a) graphically b) using the Lagrangian multiplier method.

Chapter 6

Let \(\mathrm{p}, \mathrm{q}\) be positive real numbers such that \(\mathrm{p}^{-1}+\mathrm{q}^{-1}+=1\). Consider the function $\mathrm{f}=\mathrm{a}^{\rightarrow} \cdot \mathrm{X}^{-}={ }^{\mathrm{n}} \sum_{\mathrm{i}=1} \mathrm{a}_{\mathrm{i}} \mathrm{x}_{\mathrm{i}}$, for any \(\mathrm{a}^{\rightarrow}\), with all \(\mathrm{a}_{\mathrm{i}}>0\), on the compact set \(\mathrm{S}=\left\\{\mathrm{X}^{-} \mid\right.\) all $\left.\mathrm{x}_{\mathrm{i}} \geq 0, \mathrm{x}^{\mathrm{p}}_{\mathrm{i}}+\ldots+\mathrm{x}^{\mathrm{p}}_{\mathrm{n}}=1\right\\}$. Show that the maximum value of \(\mathrm{a}^{\rightarrow} \cdot \mathrm{X}^{-}\) occurs at a point where all \(\mathrm{x}_{\mathrm{i}}>0\). Then, using this method, derive Holder's inequality.

Chapter 6

Find a relative minimum for \(\mathrm{f}(\mathrm{x}, \mathrm{y}, \mathrm{z})=\) $$ 2 x^{2}+2 y^{2}+2 z^{2}-2 x z-2 y z-6 x+2 y+8 z+14 $$

Chapter 6

Let the function \(\mathrm{f}(\mathrm{x}, \mathrm{y})\) be continuous and have continuous first and second partial derivatives in a region \(R .\) Let \(\left(\mathrm{x}_{0}, \mathrm{y}_{0}\right)\) be an interior point of \(\mathrm{R}\) for which ( $\left.\partial \mathrm{f} / \partial \mathrm{x}\right)=0$ \((\partial \mathrm{f} / \partial \mathrm{y})=0 .\) Given the condition $\left[\mathrm{f}_{12}\left(\mathrm{x}_{0}, \mathrm{y}_{0}\right)\right]^{2}-\mathrm{f}_{11}\left(\mathrm{x}_{0}, \mathrm{y}_{0}\right)$ \(\mathrm{f}_{22}\left(\mathrm{x}_{0}, \mathrm{y}_{0}\right)<0\) and \(\mathrm{f}_{11}\left(\mathrm{x}_{0}, \mathrm{y}_{0}\right)<0\) prove that \(\mathrm{f}(\mathrm{x}, \mathrm{y})\) has a relative maximum at \(\left(\mathrm{x}_{0}, \mathrm{y}_{0}\right)\).

Chapter 6

\(\mathrm{M}\) where \(\mathrm{p}_{1}=1, \mathrm{p}_{2}=2\) and \(\mathrm{M}=10 .\) Check the second-order conditions to verify that the solution is indeed a maximum.

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