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Find the critical points and classify them for the function f(x,y) = 2x2 + 3xy + 4y2 - 5x + 2y.

Mathematics

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Answer

(2,-1)

−1)=−6-1) = -6

Step-by-step solution

5 steps
  1. Find the first-order partial derivatives fxf_x and fyf_y.

    The given function is:

    f(x,y)=2x2+3xy+4y2−5x+2yf(x,y) = 2x^2 + 3xy + 4y^2 - 5x + 2y

    Differentiate f(x,y)f(x,y) with respect to xx (treating yy as a constant):

    fx=∂∂x(2x2+3xy+4y2−5x+2y)f_x = \frac{\partial}{\partial x}(2x^2 + 3xy + 4y^2 - 5x + 2y) fx=4x+3y−5f_x = 4x + 3y - 5

    Differentiate f(x,y)f(x,y) with respect to yy (treating xx as a constant):

    fy=∂∂y(2x2+3xy+4y2−5x+2y)f_y = \frac{\partial}{\partial y}(2x^2 + 3xy + 4y^2 - 5x + 2y) fy=3x+8y+2f_y = 3x + 8y + 2
  2. Find the critical points by setting fx=0f_x = 0 and fy=0f_y = 0.

    Set fx=0f_x = 0:

    4x+3y−5=0(1)4x + 3y - 5 = 0 \quad (1)

    Set fy=0f_y = 0:

    3x+8y+2=0(2)3x + 8y + 2 = 0 \quad (2)

    From equation (1), we have 4x+3y=54x + 3y = 5.
    From equation (2), we have 3x+8y=−23x + 8y = -2.

    To solve this system of linear equations, multiply equation (1) by 3 and equation (2) by 4:

    3(4x+3y)=3(5)  ⟹  12x+9y=15(3)3(4x + 3y) = 3(5) \implies 12x + 9y = 15 \quad (3) 4(3x+8y)=4(−2)  ⟹  12x+32y=−8(4)4(3x + 8y) = 4(-2) \implies 12x + 32y = -8 \quad (4)

    Subtract equation (3) from equation (4):

    (12x+32y)−(12x+9y)=−8−15(12x + 32y) - (12x + 9y) = -8 - 15 23y=−2323y = -23 y=−1y = -1

    Substitute y=−1y = -1 into equation (1):

    4x+3(−1)−5=04x + 3(-1) - 5 = 0 4x−3−5=04x - 3 - 5 = 0 4x−8=04x - 8 = 0 4x=84x = 8 x=2x = 2

    The only critical point is (2,−1)(2, -1).

  3. Calculate the second-order partial derivatives.

    fxx=∂∂x(4x+3y−5)=4f_{xx} = \frac{\partial}{\partial x}(4x + 3y - 5) = 4 fyy=∂∂y(3x+8y+2)=8f_{yy} = \frac{\partial}{\partial y}(3x + 8y + 2) = 8 fxy=∂∂y(4x+3y−5)=3f_{xy} = \frac{\partial}{\partial y}(4x + 3y - 5) = 3
  4. Calculate the discriminant D(x,y)D(x,y).

    The discriminant is given by the formula:

    D(x,y)=fxxfyy−(fxy)2D(x,y) = f_{xx}f_{yy} - (f_{xy})^2

    Substitute the partial derivatives:

    D(x,y)=(4)(8)−(3)2D(x,y) = (4)(8) - (3)^2 D(x,y)=32−9D(x,y) = 32 - 9 D(x,y)=23D(x,y) = 23
  5. Evaluate D(x,y)D(x,y) and fxx(x,y)f_{xx}(x,y) at the critical point.

    For the critical point (2,−1)(2, -1):

    D(2,−1)=23D(2, -1) = 23

    Since D(2,−1)=23>0D(2, -1) = 23 > 0, we need to check fxx(2,−1)f_{xx}(2, -1).

    fxx(2,−1)=4f_{xx}(2, -1) = 4

    Since fxx(2,−1)=4>0f_{xx}(2, -1) = 4 > 0 and D(2,−1)>0D(2, -1) > 0, the point (2,−1)(2, -1) is a local minimum.

    Calculate the function value at (2,−1)(2, -1):

    f(2,−1)=2(2)2+3(2)(−1)+4(−1)2−5(2)+2(−1)f(2, -1) = 2(2)^2 + 3(2)(-1) + 4(-1)^2 - 5(2) + 2(-1) f(2,−1)=2(4)−6+4(1)−10−2f(2, -1) = 2(4) - 6 + 4(1) - 10 - 2 f(2,−1)=8−6+4−10−2f(2, -1) = 8 - 6 + 4 - 10 - 2 f(2,−1)=2+4−10−2f(2, -1) = 2 + 4 - 10 - 2 f(2,−1)=6−10−2f(2, -1) = 6 - 10 - 2 f(2,−1)=−4−2f(2, -1) = -4 - 2 f(2,−1)=−6f(2, -1) = -6

    Summary of results:

    • Local minima: There is a local minimum at (2,−1)\boxed{(2,-1)} with a value of f(2,−1)=−6f(2,-1) = \boxed{-6}.
    • Local maxima: There are no local maxima.
    • Saddle points: There are no saddle points.
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