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 Integrals4h 44m
- 9. Graphical Applications of Integrals2h 27m
- 10. Physics Applications of Integrals 2h 22m
5. Graphical Applications of Derivatives
Applied Optimization
Problem 4.5.15
Textbook Question
Minimum sum Find positive numbers x and y satisfying the equation xy = 12 such that the sum 2x + y is as small as possible.

1
First, express y in terms of x using the given equation xy = 12. This gives y = 12/x.
Substitute y = 12/x into the expression for the sum, 2x + y, to get a function in terms of x: f(x) = 2x + 12/x.
To find the minimum value of f(x), take the derivative of f(x) with respect to x. Use the derivative rules: f'(x) = d/dx(2x) + d/dx(12/x).
Set the derivative f'(x) equal to zero to find the critical points: f'(x) = 2 - 12/x^2 = 0. Solve for x to find the critical point.
Verify that the critical point found is a minimum by using the second derivative test. Calculate f''(x) and check its sign at the critical point. If f''(x) > 0, the critical point is a minimum.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Optimization
Optimization in calculus involves finding the maximum or minimum values of a function. In this problem, we aim to minimize the sum 2x + y while adhering to the constraint xy = 12. This typically requires the use of techniques such as substitution or the method of Lagrange multipliers to find the optimal values of the variables.
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Constraints
Constraints are conditions that must be satisfied in an optimization problem. Here, the equation xy = 12 serves as a constraint that limits the values of x and y. Understanding how to manipulate and incorporate constraints is crucial for finding feasible solutions that meet the problem's requirements.
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Derivatives
Derivatives are fundamental in calculus for determining the rate of change of a function. In this context, we can use derivatives to find critical points of the function 2x + y, which will help identify minimum values. By setting the derivative equal to zero, we can solve for x and y that minimize the sum while satisfying the constraint.
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Derivatives
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