Here is a contour plot of the function f(x, y) = 4 + x³ + y³ − 3xy: (Click the image to enlarge it.) By looking at the contour plot, characterize the two critical points of the function. You should be able to do this analysis without computing derivatives, but you may want to compute them to corroborate your intuition. The critical point (1,1) is a local minimum (choose one from the list). The second critical point is at the point 0 and it is a saddle point

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Chapter2: Second-order Linear Odes
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Here is a contour plot of the function \( f(x, y) = 4 + x^3 + y^3 - 3xy \):

*Image of contour plot*

(Click the image to enlarge it.)

By looking at the contour plot, characterize the two critical points of the function. You should be able to do this analysis without computing derivatives, but you may want to compute them to corroborate your intuition.

- The critical point \((1,1)\) is a **local minimum**.
- The second critical point is at the point \((0,0)\), and it is a **saddle point**.

**Explanation of the contour plot:**

The plot displays level curves of the function where each curve represents points with the same function value. The behavior and shape of the curves around the critical points help identify their nature:
- At \((1,1)\), the curves are closed and circular around the point, indicating a local minimum.
- At \((0,0)\), the curves intersect in an X-like pattern, denoting a saddle point where the function isn't at a minimum or maximum.
Transcribed Image Text:Here is a contour plot of the function \( f(x, y) = 4 + x^3 + y^3 - 3xy \): *Image of contour plot* (Click the image to enlarge it.) By looking at the contour plot, characterize the two critical points of the function. You should be able to do this analysis without computing derivatives, but you may want to compute them to corroborate your intuition. - The critical point \((1,1)\) is a **local minimum**. - The second critical point is at the point \((0,0)\), and it is a **saddle point**. **Explanation of the contour plot:** The plot displays level curves of the function where each curve represents points with the same function value. The behavior and shape of the curves around the critical points help identify their nature: - At \((1,1)\), the curves are closed and circular around the point, indicating a local minimum. - At \((0,0)\), the curves intersect in an X-like pattern, denoting a saddle point where the function isn't at a minimum or maximum.
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