What is the standard procedure for a related-rates problem?
Differentiate the relationship with respect to time, substitute known values afterward, solve for the requested rate, and include appropriate units.
Study 4 Applications of Derivatives with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.
What is the standard procedure for a related-rates problem?
Differentiate the relationship with respect to time, substitute known values afterward, solve for the requested rate, and include appropriate units.
What rate equation relates a sphere’s volume and radius?
For a sphere, V=34πr3, so differentiating with respect to time gives dtdV=4πr2dtdr.
What is the linearization of f at x=a?
The linearization is L(x)=f(a)+f′(a)(x−a), and for values near a, f(x)≈L(x).
How is the differential dy defined?
If y=f(x), then dy=f′(x)dx. The differential estimates the output change corresponding to a small input change.
What is a critical point?
A critical point occurs at a domain number c where f′(c)=0 or where f′(c) does not exist.
How does the First Derivative Test classify a critical point?
A change in f′ from positive to negative indicates a local maximum; a change from negative to positive indicates a local minimum.
What does the Second Derivative Test conclude at f′(c)=0?
If f′(c)=0, f′′(c)>0 implies a local minimum and f′′(c)<0 implies a local maximum. If f′′(c)=0, the test is inconclusive.
How are absolute extrema found on a closed interval?
For a continuous function on [a,b], evaluate the function at every critical point in (a,b) and at both endpoints, then compare all values.
What does the Mean Value Theorem guarantee?
If f is continuous on [a,b] and differentiable on (a,b), some c∈(a,b) satisfies f′(c)=b−af(b)−f(a).
How does the sign of f′ determine monotonic behavior?
Wherever f′(x)>0, f is increasing; wherever f′(x)<0, f is decreasing.
What does the sign of f′′ reveal about a graph?
If f′′(x)>0, the graph is concave up; if f′′(x)<0, it is concave down. An inflection point requires a change in concavity.
What is an objective function in optimization?
The objective function represents the quantity to maximize or minimize, such as area, cost, profit, distance, surface area, or volume.