Math 181 Miniproject 4: Linear Approximation and Calculus.md --- Math 181 Miniproject 4: Linear Approximation and Calculus === **Overview:** In this miniproject you will put the idea of the *local linearization* of a function to build linear approximations to complex functions and then make *interpolations* and *extrapolations* using them. **Prerequisites:** Sections 1.8 in *Active Calculus*, which focuses on this topic. **Completion of Miniprojects 1 and 2 is recommended before doing this miniproject**. --- :::info 1\. A potato is placed in an oven, and the potato's temperature $F$ (in degrees Fahrenheit) at various points in time is taken and recorded in the following table. The time $t$ is measured in minutes. | $t$ | 0 | 15 | 30| 45| 60 | 75 | 90 | |-----|----|-------|-----|----- |-------|-------|-------| | $F$ | 70| 180.5| 251| 296| 324.5 | 342.8 | 354.5 | (a) Use a central difference to estimate $F'(75)$. Use this estimate as needed in subsequent questions in this problem. ::: (a)(60,324.5) and (90, 354.5) are the points I used to find the central drifference which is 1. :::info (b) Find the local linearization $y = L(t)$ to the function $y = F(t)$ at the point where $a = 75$. ::: (b) The local linerization at a=75 is 343.8898. By plugging a=75 into the fucnction below F(x)= 343.944. The formula I used what the tangent line of $F(x)=-304.952*0.970^x+374.944$ at a=75. Which is L(x)=0.9458615(x)+272.950. :::info (c\) Determine an estimate for $F(72)$ by employing the local linearization. Terminology: This estimate is called an *interpolation* because we are estimating a value that lies within a data set, between two known data points. ::: (c\) From the local linerization formula used before, plugging in 72 equaled 341.05222 Plugging it into the function F(x)=340.919. :::info (d) Do you think your estimate in (c) is too large, too small, or exactly right? Why? ::: (d) My estimate is too large because by plugging 72 into the actual function of is 340.919. :::info (e) Use your local linearization to estimate $F(100)$. Terminology: This estimate is called an *extrapolation* because we are estimating a value that lies outside the range of values of a data set. ::: (e)Using local linerization for the estimate F(100) is L(100)=367.5361 which is a fair amount off from F(100)=360.4427. :::info (f) Do you think your estimate in (e) is too large, too small, or exactly right? Why? ::: (f) I think the estimate in part E for L(100) is larger than F(100). :::info (g) Plot both $F$ and $L$ and comment on how or when the line $L(t)$ is a good approximation of $F(t)$. ::: (g) L(t) is not a good representation of F(t) since the farther away from the point 75, the larger the disparity of the number L(x) gives versus what F(x) actually is. --- To submit this assignment click on the Publish button ![Publish button icon](https://i.imgur.com/Qk7vi9V.png). Then copy the url of the final document and submit it in Canvas.