Q. 1 TF
Question
The gradient at a maximum: If a function of two variables, $$f(x, y)$$, is differentiable at a point $$f(x_{0}, y_{0})$$ where the function has a maximum, what is $$\bigtriangledown f(x_{0}, y_{0})$$ ?
Step-by-Step Solution
Verified Answer
The value of $$\bigtriangledown f(x_{0}, y_{0})$$ is zero.
1Step 1. Given Information
A function of two variables, $$f(x, y)$$, is differentiable at a point $$f(x_{0}, y_{0})$$ where the function has a maximum.
2Step 2. Explanation
If $$f(x, y)$$, is differentiable at a point $$f(x_{0}, y_{0})$$ where the function has a maximum, then $$f(x_{0}, y_{0}) \geq f(x,y)$$
Also, the gradient for a local maximum with a horizontal tangent plane at a point is zero and the point is called the stationary point.
Hence, $$\bigtriangledown f(x_{0}, y_{0})=0$$
Other exercises in this chapter
Q. 73
Analogous properties hold for functions of three variables. What would you have to change in the proofs in Exercises 67–72 to make them work for functions
View solution Q. 74
Let $$f(x, y,z)$$ be a function of three variables, and let $$P$$ be a point in the domain of $$f$$ at which $$f$$ is differentiable. Prove that the gradient of
View solution Q. 2 TF
The gradient at a minimum: If a function of three variables, $$f(x, y,z)$$, is differentiable at a point $$(x_{0}, y_{0}, z_{0})$$ where the function has a mini
View solution Q. 1 TB
First-Derivative Test: Review the first-derivative test for functions of a single variable. Explain how the test works, what conditions a function must satisfy
View solution