Math Problem Statement
Consider the function f(x,y)=e6xcos(3y).
Find and classify all critical points of the function. If there are more blanks than critical points, leave the remaining entries blank.
fx=
fy=
fxx=
fxy=
fyy=
The critical point with the smallest x-coordinate is ( , ) Classification:
(local minimum, local maximum, saddle point, cannot be determined)
The critical point with the next smallest x-coordinate is ( , ) Classification:
(local minimum, local maximum, saddle point, cannot be determined)
The critical point with the next smallest x-coordinate is ( , ) Classification: (local minimum, local maximum, saddle point, cannot be determined)
Solution
To analyze and classify the critical points of the function , we need to compute the partial derivatives , , , , and , find where and , and then use the second derivative test to classify the critical points.
Step 1: Compute the Partial Derivatives
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:
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:
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:
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:
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:
Step 2: Find the Critical Points
To find the critical points, we need to set and and solve for and .
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Setting :
- Since for all , we must have .
- This gives for , so .
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Setting :
- Since , we must have .
- This gives for , so .
For these equations to hold simultaneously, we need both and . The only value of that satisfies both conditions is when , where is an integer. However, this is inconsistent with our requirements for both and to equal zero simultaneously. Therefore, there are no critical points for this function where both partial derivatives vanish simultaneously.
Since there are no points where both and , the answer will have blank entries for critical points.
Summary
There are no critical points for this function, so the entries for critical points and their classifications will remain blank.
Would you like to discuss why this function has no critical points or go over any part of this process?
Here are some related questions you might find interesting:
- How does the second derivative test classify critical points in general?
- Why can't and be zero at the same time?
- What conditions generally lead to the existence of saddle points in functions?
- How can exponential terms affect the behavior of critical points in multivariable functions?
- How would adding a constant term to affect the location of critical points?
Tip: In multivariable calculus, critical points are found where all first partial derivatives are zero, but not all functions will have such points if their conditions can’t be met simultaneously.
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Math Problem Analysis
Mathematical Concepts
Multivariable Calculus
Partial Derivatives
Critical Points
Second Derivative Test
Formulas
Partial derivatives: fx = ∂f/∂x, fy = ∂f/∂y
Second partial derivatives: fxx = ∂²f/∂x², fxy = ∂²f/∂x∂y, fyy = ∂²f/∂y²
Second Derivative Test for critical points: D = fxx * fyy - (fxy)^2
Theorems
Second Derivative Test for Classifying Critical Points
Suitable Grade Level
College Level (Calculus III or Multivariable Calculus)
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