Skip to main content
Ch. 4 - Applications of the Derivative
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243당신이 사용하는 게 아니라요?교과서 변경
4장, 문제 4.5.6b

Suppose S = x + 2y is an objective function subject to the constraint xy = 50, for x > 0 and y > 0.
b. Find the absolute minimum value of S subject to the given constraint.

검증된 단계별 안내
1
First, express the constraint equation xy = 50 in terms of one variable. Solve for y in terms of x: y = 50/x.
Substitute y = 50/x into the objective function S = x + 2y to express S in terms of x alone: S = x + 2(50/x).
Simplify the expression for S: S = x + 100/x.
To find the critical points, take the derivative of S with respect to x. Use the power rule and the derivative of x^(-1) to find dS/dx.
Set the derivative dS/dx equal to zero and solve for x to find the critical points. Check these points to determine the absolute minimum value of S.

비슷한 문제에 대한 검증된 영상 답변:

이 영상 해법은 위 문제에 도움이 된다고 튜터들이 추천한 것입니다.
영상 길이:
6m
도움이 되었나요?

주요 개념

질문에 올바르게 답하기 위해 반드시 이해해야 하는 핵심 개념들은 다음과 같습니다.

Objective Function

An objective function is a mathematical expression that defines a quantity to be maximized or minimized. In this case, S = x + 2y is the objective function, which we aim to minimize while adhering to certain constraints. Understanding how to manipulate and evaluate this function is crucial for finding optimal solutions.
추천 영상:
가이드 코스
06:21
Properties of Functions

Constraints

Constraints are conditions that the variables in an optimization problem must satisfy. Here, the constraint xy = 50 restricts the values of x and y, ensuring they remain positive. Recognizing how constraints affect the feasible region is essential for determining the minimum value of the objective function.
추천 영상:
10:13
Intro to Applied Optimization: Maximizing Area

Lagrange Multipliers

Lagrange multipliers are a method used in optimization to find the local maxima and minima of a function subject to equality constraints. This technique involves introducing a new variable (the multiplier) to incorporate the constraint into the optimization process. Applying this method will help in finding the absolute minimum value of S under the given constraint.
추천 영상:
가이드 코스
7:24
Multiplying & Dividing Functions
관련 실천
교과서 질문

107–110. {Use of Tech} Motion with gravity Consider the following descriptions of the vertical motion of an object subject only to the acceleration due to gravity. Begin with the acceleration equation a(t) = v' (t) = -g , where g = 9.8 m/s² .

b. Find the position of the object for all relevant times. 

A payload is released at an elevation of 400 m from a hot-air balloon that is rising at a rate of 10 m/s.

43
views
교과서 질문

{Use of Tech} A damped oscillator The displacement of an object as it bounces vertically up and down on a spring is given by y(t) = 2.5e⁻ᵗ cos 2t, where the initial displacement is y(0) = 2.5 and y = 0 corresponds to the rest position (see figure). <IMAGE>


c. Find the time at which the object passes the rest position for the second time.

248
views
교과서 질문

{Use of Tech} Elliptic curves The equation y² = x³ - ax + 3, where a is a parameter, defines a well-known family of elliptic curves.


c. By experimentation, determine the approximate value of a (3 < a < 4)at which the graph separates into two curves.

263
views
교과서 질문

Cylinder in a cone A right circular cylinder is placed inside a cone of radius R and height H so that the base of the cylinder lies on the base of the cone.


b. Find the dimensions of the cylinder with maximum lateral surface area (area of the curved surface).

389
views
교과서 질문

{Use of Tech} Fixed points of quadratics and quartics Let f(x) = ax(1 -x), where a is a real number and 0 ≤ a ≤ 1. Recall that the fixed point of a function is a value of x such that f(x) = x (Exercises 48–51). 


b. Consider the polynomial g(x) = f(f(x)). Write g in terms of a and powers of x. What is its degree?

341
views
교과서 질문

Explain why or why not Determine whether the following statements are true and give an explanation or counterexample.


c. If f(x) = mx + b, then the linear approximation to f at any point is L(x) = f(x).

186
views