Problem 2
Question
Find any critical points and relative extrema of the function. $$ f(x, y)=x^{2}+y^{2}+2 x-6 y+6 $$
Step-by-Step Solution
Verified Answer
The function has one critical point at (-1,3), and this point is a relative minimum.
1Step 1: Find the Gradient of the Function
The gradient of the function, which is the vector of all first partial derivatives, is found by taking the derivative of \(f(x, y)\) with respect to each variable. For \(f(x, y)=x^{2}+y^{2}+2 x-6 y+6\), the gradient of f is \(\nabla f = (2x + 2, 2y - 6)\)
2Step 2: Find the Critical Points
Now set the gradient obtained in the previous step to zero and solve for x and y. This gives us the equations \(2x + 2 = 0\) and \(2y - 6 = 0\). Solving these gives \(x = -1\) and \(y = 3\), so there's one critical point at (-1, 3).
3Step 3: Use the Second Derivative Test
The second derivative test determines whether the critical point is a maximum, a minimum, or a saddle point. It involves finding the Hessian matrix (the matrix of all second partial derivatives) and calculating its determinant. The second-order partial derivatives of \(f(x, y)\) are all constant: \(f_{xx} = 2\), \(f_{xy} = f_{yx} = 0\), \(f_{yy} = 2\). The determinant of the Hessian matrix, often called 'D', is \(D = f_{xx} f_{yy} - (f_{xy})^2 = (2)(2) - (0)^2 = 4\). Because \(D > 0\) and \(f_{xx} > 0\), the point (-1,3) is a relative minimum.
Other exercises in this chapter
Problem 2
Evaluate the partial integral. $$ \int_{x}^{x^{2}} \frac{y}{x} d y $$
View solution Problem 2
Use Lagrange multipliers to find the given extremum. In each case, assume that \(x\) and \(y\) are positive. $$ \text { Maximize } f(x, y)=x y \quad 2 x+y=4 $$
View solution Problem 2
Find the first partial derivatives with respect to \(x\) and with respect to \(y\). $$ z=x^{2}-2 y $$
View solution Problem 2
Find the function values. \(f(x, y)=4-x^{2}-4 y^{2}\) (a) \(f(0,0)\) (b) \(f(0,1)\) (c) \(f(2,3)\) (d) \(f(1, y)\) (e) \(f(x, 0)\) (f) \(f(t, 1)\)
View solution