Table of contents
- 0. Functions7h 52m
- Introduction to Functions16m
- Piecewise Functions10m
- Properties of Functions9m
- Common Functions1h 8m
- Transformations5m
- Combining Functions27m
- Exponent rules32m
- Exponential Functions28m
- Logarithmic Functions24m
- Properties of Logarithms34m
- Exponential & Logarithmic Equations35m
- Introduction to Trigonometric Functions38m
- Graphs of Trigonometric Functions44m
- Trigonometric Identities47m
- Inverse Trigonometric Functions48m
- 1. Limits and Continuity2h 2m
- 2. Intro to Derivatives1h 33m
- 3. Techniques of Differentiation3h 18m
- 4. Applications of Derivatives2h 38m
- 5. Graphical Applications of Derivatives6h 2m
- 6. Derivatives of Inverse, Exponential, & Logarithmic Functions2h 37m
- 7. Antiderivatives & Indefinite Integrals1h 26m
- 8. Definite Integrals3h 25m
5. Graphical Applications of Derivatives
Applied Optimization
Problem 4.5.6b
Textbook Question
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.
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1
Identify the objective function S = x + 2y and the constraint xy = 50.
Use the method of substitution to express one variable in terms of the other using the constraint. For example, solve for y in terms of x: y = 50/x.
Substitute the expression for y back into the objective function S to get S as a function of x: S = x + 2(50/x).
Differentiate the new function S with respect to x to find the critical points: dS/dx = 1 - 100/x^2.
Set the derivative equal to zero and solve for x to find the critical points, then evaluate S at these points and the endpoints of the feasible region to determine the absolute minimum.
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