微积分I(标准路径) · 免费预览
§1.8 The tangent line approximation (continued)
可导函数 $y = f(x)$ 在点 $(a,f(a))$ 处的一般切线近似公式是什么?
1. Exercises (continued)
Exercises (continued)
2. Summary
Summary
3. Curvature and approximation quality
Near , a shared tangent line approximates and , where and . Why does approximate better?
4. Reading a linearization
A function has local linearization at . What are and ?
5. Estimating with a declining linear model
With local linearization at , estimate , rounded to two decimals.
6. Concavity decides the error direction
If for and is the linearization of at , then overestimates .
7. Choosing a central difference
A potato's temperature is sampled every minutes. Which expression best estimates from the table?
8. A potato temperature forecast
A potato satisfies degrees and degrees per minute. Use the tangent line at to estimate , rounded to three decimals.
9. Direction of the potato error
The potato's recorded temperatures increase at a decreasing rate near . Is the tangent line estimate of too large or too small?
10. Estimating position from motion data
An object has position feet and velocity feet per second at seconds. The tangent line estimate of is
11. Direction of the position error
The same object has acceleration feet per second per second. Is the linear estimate feet too large or too small?
12. Everyday description of the motion
At the object is moving toward the origin and slowing down, because its velocity is negative while its acceleration is positive.
13. Zeros of a derivative formula
A function has . At which input is ?
14. Concavity from the derivative graph
The graph of rises on roughly and falls outside that interval. What does this say about ?
15. A linear estimate for an unknown function
For the same with , use the tangent line at to estimate , given . Round to four decimals.
16. Size of the estimate for the unknown function
Near the graph of is decreasing. Is the estimate too large or too small?