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 and the following conditions:
- The direction of maximum increase is aligned with the vector .
- The slope in the direction of maximum increase is .
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 , which is the vector of partial derivatives with respect to and . For , the gradient is:
Calculating the partial derivatives:
Thus, the gradient is:
Step 2: Condition on the direction of the gradient
We are told that the direction of maximum increase is aligned with the vector . This implies that the gradient vector must be proportional to . In other words, there exists a scalar such that:
This gives us the system of equations:
Equating the two expressions for :
Factoring out (assuming ):
So, or .
Case 1:
Substituting into the partial derivatives gives , which is not aligned with . Hence, does not provide any solutions.
Case 2:
Substitute into one of the equations for :
Thus, .
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 . The magnitude of the gradient is:
Substituting into this:
We are told that this equals , so:
Solving for :
[ |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
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