Math Problem Statement

Consider the function f(x,y)=xy^3 . Does there exist a point or multiple points (x,y)=(a,b) where the following statements are both true: The direction of maximum increase is aligned with the vector ⟨1,1⟩ The slope in the direction of maximum increase is √18 a. There exists one point (a,b) . b. There exist four points (a,b) . c. There exist no points (a,b) . d. There exist two points (a,b) . e. There exist infinitely many points (a,b)

Solution

We are given the function f(x,y)=xy3f(x, y) = xy^3 and the following conditions:

  1. The direction of maximum increase is aligned with the vector 1,1\langle 1, 1 \rangle.
  2. The slope in the direction of maximum increase is 18\sqrt{18}.

Let's analyze this step-by-step.

Step 1: Gradient of the function

The direction of the maximum increase of a function is given by the gradient f(x,y)\nabla f(x, y), which is the vector of partial derivatives with respect to xx and yy. For f(x,y)=xy3f(x, y) = xy^3, the gradient is:

f(x,y)=(fx,fy)\nabla f(x, y) = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \right)

Calculating the partial derivatives:

fx=y3\frac{\partial f}{\partial x} = y^3 fy=3xy2\frac{\partial f}{\partial y} = 3xy^2

Thus, the gradient is:

f(x,y)=y3,3xy2\nabla f(x, y) = \langle y^3, 3xy^2 \rangle

Step 2: Condition on the direction of the gradient

We are told that the direction of maximum increase is aligned with the vector 1,1\langle 1, 1 \rangle. This implies that the gradient vector f(x,y)\nabla f(x, y) must be proportional to 1,1\langle 1, 1 \rangle. In other words, there exists a scalar λ\lambda such that:

f(x,y)=λ1,1\nabla f(x, y) = \lambda \langle 1, 1 \rangle

This gives us the system of equations:

y3=λy^3 = \lambda 3xy2=λ3xy^2 = \lambda

Equating the two expressions for λ\lambda:

y3=3xy2y^3 = 3xy^2

Factoring out y2y^2 (assuming y0y \neq 0):

y2(y3x)=0y^2(y - 3x) = 0

So, y=0y = 0 or y=3xy = 3x.

Case 1: y=0y = 0

Substituting y=0y = 0 into the partial derivatives gives f(x,0)=0,0\nabla f(x, 0) = \langle 0, 0 \rangle, which is not aligned with 1,1\langle 1, 1 \rangle. Hence, y=0y = 0 does not provide any solutions.

Case 2: y=3xy = 3x

Substitute y=3xy = 3x into one of the equations for λ\lambda:

y3=(3x)3=27x3y^3 = (3x)^3 = 27x^3

Thus, λ=27x3\lambda = 27x^3.

Step 3: Condition on the slope

The slope in the direction of maximum increase is given by the magnitude of the gradient. We are told that this slope is 18\sqrt{18}. The magnitude of the gradient is:

f(x,y)=(y3)2+(3xy2)2|\nabla f(x, y)| = \sqrt{\left( y^3 \right)^2 + \left( 3xy^2 \right)^2}

Substituting y=3xy = 3x into this:

f(x,3x)=(27x3)2+(9x3)2|\nabla f(x, 3x)| = \sqrt{(27x^3)^2 + (9x^3)^2} f(x,3x)=729x6+81x6=810x6=810x3|\nabla f(x, 3x)| = \sqrt{729x^6 + 81x^6} = \sqrt{810x^6} = \sqrt{810} |x^3| f(x,3x)=910x3|\nabla f(x, 3x)| = 9\sqrt{10} |x^3|

We are told that this equals 18\sqrt{18}, so:

910x3=189\sqrt{10} |x^3| = \sqrt{18}

Solving for xx:

910x3=189\sqrt{10} |x^3| = \sqrt{18} [ |x^3

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Math Problem Analysis

Mathematical Concepts

Multivariable Calculus
Partial Derivatives
Gradient Vectors

Formulas

Gradient of f(x, y) = ⟨∂f/∂x, ∂f/∂y⟩
f(x, y) = xy^3
Direction of maximum increase: ∇f(x, y) aligned with ⟨1,1⟩
Magnitude of the gradient vector |∇f(x, y)| = √(∂f/∂x)^2 + (∂f/∂y)^2

Theorems

Gradient Vector Theorem
Directional Derivative

Suitable Grade Level

Advanced High School/College Level