In Exercises 19–24, find the directions in which the functions increase and decrease most rapidly at Po. Then find the derivatives of the func- tions in these directions. 19. f(x, y) = x² + xy + y², Po(-1, 1) 20. f(x, y) = x²y + e sin y, Po(1, 0) 21. f(x, y, z) = (x/y) – yz, Po(4, 1, 1) |

Calculus: Early Transcendentals
8th Edition
ISBN:9781285741550
Author:James Stewart
Publisher:James Stewart
Chapter1: Functions And Models
Section: Chapter Questions
Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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Please help with #21. Thanks

On this page, Exercises 19–24 focus on identifying the directions in which specified functions increase and decrease most rapidly at given points, \( P_0 \). The objective is also to find the derivatives of the functions in these specified directions.

19. \( f(x, y) = x^2 + xy + y^2, \quad P_0(-1, 1) \)

20. \( f(x, y) = x^2 y + e^{xy} \sin y, \quad P_0(1, 0) \)

21. \( f(x, y, z) = \frac{x}{y} - yz, \quad P_0(4, 1, 1) \)

22. \( g(x, y, z) = xe^{y} + z^2, \quad P_0(1, \ln 2, \frac{1}{2}) \)

23. \( f(x, y, z) = \ln (xy) + \ln (yz) + \ln (xz), \quad P_0(1, 1, 1) \)

24. \( h(x, y, z) = \ln (x^2 + y^2 - 1) + y + 6z, \quad P_0(1, 1, 0) \)

For each exercise, you must first determine the gradient of the function, which points in the direction of the steepest ascent. The negative gradient then gives the direction of the steepest descent. Calculating the derivatives of the functions in these directions involves finding the directional derivative along the gradient and its opposite.
Transcribed Image Text:On this page, Exercises 19–24 focus on identifying the directions in which specified functions increase and decrease most rapidly at given points, \( P_0 \). The objective is also to find the derivatives of the functions in these specified directions. 19. \( f(x, y) = x^2 + xy + y^2, \quad P_0(-1, 1) \) 20. \( f(x, y) = x^2 y + e^{xy} \sin y, \quad P_0(1, 0) \) 21. \( f(x, y, z) = \frac{x}{y} - yz, \quad P_0(4, 1, 1) \) 22. \( g(x, y, z) = xe^{y} + z^2, \quad P_0(1, \ln 2, \frac{1}{2}) \) 23. \( f(x, y, z) = \ln (xy) + \ln (yz) + \ln (xz), \quad P_0(1, 1, 1) \) 24. \( h(x, y, z) = \ln (x^2 + y^2 - 1) + y + 6z, \quad P_0(1, 1, 0) \) For each exercise, you must first determine the gradient of the function, which points in the direction of the steepest ascent. The negative gradient then gives the direction of the steepest descent. Calculating the derivatives of the functions in these directions involves finding the directional derivative along the gradient and its opposite.
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