微积分I(标准路径) · free preview

§8.1 Extending local linearization

在 $a = 0$ 附近的切线对函数 $f(x) = e^x$(在 $a = 0$ 附近)的近似效果如何?

1. Introduction

Introduction

2. Finding a quadratic approximation

Finding a quadratic approximation

3. Over and over again

Over and over again

4. Consider the functio…

Consider the function f(x)=exf(x) = e^x near a=0a = 0. We know that f′(x)=exf'(x) = e^x, so f′(0)=1f'(0) = 1; along with the fact that f(0)=1f(0) = 1, it follows that the tangent line approximation is

L(x)=f(0)+f′(0)(x−0)=1+1(x−0)=1+xL(x) = f(0) + f'(0)(x-0) = 1 + 1(x-0) = 1 + x

.

Build a spreadsheet that computes the difference between f(x)f(x) and L(x)L(x) for xx-values between −1-1 and 11, spaced 0.10.1 units apart. Note: we will revisit this spreadsheet for additional computations in Activity 8.1.3, so it would be ideal if you save your work for later reference.

Your spreadsheet should start like the one shown in Table.

5. Note that since $b_0$

Note that since b0b_0, b1b_1, and b2b_2 are constants, if we take the derivative of the quadratic function T2T_2 using the sum and constant multiple rules, it follows that T2′(x)=b1+2b2xT_2'(x) = b_1 + 2 b_2 x.

What is T2′′(x)T_2''(x)?

6. Recall that $f(x) = …$

Recall that f(x)=exf(x) = e^x. Determine f′(x)f'(x) and f′′(x)f''(x).

7. Enter the formulas y…

Enter the formulas you've determined for f′(x)f'(x), f′′(x)f''(x), and T2′′(x)T_2''(x) to fill in the blanks below.

f(x)=exT2(x)=b0+b1x+b2x2f′(x)=T2′(x)=b1+2b2xf′′(x)=T2′′(x)=\begin{aligned} f(x) &= e^x & T_2(x) &= b_0 + b_1 x + b_2 x^2 \\ f'(x) &= & T_2'(x) &= b_1 + 2 b_2 x \\ f''(x) &= & T_2''(x) &= \end{aligned}

8. Next

Next, observe that since T2(x)=b0+b1x+b2x2T_2(x) = b_0 + b_1 x + b_2 x^2, it follows that T2(0)=b0T_2(0) = b_0. Reason similarly to determine the values of T2′(0)T_2'(0) and T2′′(0)T_2''(0), as well as those of f(0)f(0), f′(0)f'(0), and f′′(0)f''(0) and enter these values appropriately in the blanks below.

f(0)=T2(0)=b0f′(0)=T2′(0)=f′′(0)=T2′′(0)=\begin{aligned} f(0) &= & T_2(0) &= b_0 \\ f'(0) &= & T_2'(0) &= \\ f''(0) &= & T_2''(0) &= \end{aligned}

9. Now

Now, recall that we want the function values, first derivative values, and second derivative values of ff and T2T_2 to match at a=0a = 0. What does T2(0)=f(0)T_2(0) = f(0) tell us about the value of b0b_0, and what is its value? What does T2′(0)=f′(0)T_2'(0) = f'(0) imply the value of b1b_1 is? How can we reason similarly to find b2b_2?

10. Having now determine…

Having now determined the numerical values of b0b_0, b1b_1, and b2b_2, use appropriate computing technology to plot the function T2(x)=b0+b1x+b2x2T_2(x) = b_0 + b_1 x + b_2 x^2 along with f(x)=exf(x)=e^x and T1(x)=1+xT_1(x)=1+x in the same window as that shown in Figure.

What do you notice? For about which values of xx is ∣f(x)−T2(x)∣<0.1|f(x)-T_2(x)| \lt 0.1?

11. By computing the thi…

By computing the third derivative of f(x)f(x) and the second and third derivatives of T3(x)T_3(x) and evaluating the relevant functions at x=0x = 0, fill in the blanks below.

f(x)=exT3(x)=c0+c1x+c2x2+c3x3f′(x)=exT3′(x)=c1+2c2x+3c3x2f′′(x)=exT3′′(x)=f′′′(x)=T3′′′(x)=f(0)=1T3(0)=f′(0)=1T3′(0)=f′′(0)=1T3′′(0)=f′′′(0)=T3′′′(0)=\begin{aligned} f(x) &= e^x & T_3(x) &= c_0 + c_1 x + c_2 x^2 + c_3 x^3 \\ f'(x) &= e^x & T_3'(x) &= c_1 + 2c_2 x + 3c_3 x^2 \\ f''(x) &= e^x & T_3''(x) &= \\ f'''(x) &= & T_3'''(x) &= \\ & \\ f(0) &= 1 & T_3(0) &= \\ f'(0) &= 1 & T_3'(0) &= \\ f''(0) &= 1 & T_3''(0) &= \\ f'''(0) &= & T_3'''(0) &= \end{aligned}

12. Next

Next, recall that we want ff and T3T_3 to share the same function and derivative values at a=0a = 0 up to and including the third derivative. For instance, one of the four needed equations is T3′(0)=f′(0)T_3'(0) = f'(0). Use the four equations your work in the preceding question to determine the values of c0c_0, c1c_1, c2c_2, and c3c_3.

13. Having now determine…

Having now determined the numerical values of c0c_0, c1c_1, c2c_2, and c3c_3, use appropriate computational technology to plot the function T3(x)=c0+c1x+c2x2+c3x3T_3(x) = c_0 + c_1 x + c_2 x^2 + c_3 x^3 along with f(x)=exf(x)=e^x, T1(x)=1+xT_1(x)=1+x, and T2(x)=1+x+12x2T_2(x) = 1 + x + \frac{1}{2}x^2 in the same window as shown in Figure.

What do you notice? For approximately which values of xx is ∣f(x)−T3(x)∣<0.1|f(x)-T_3(x)| \lt 0.1?

14. What if we wanted a …

What if we wanted a degree-44 polynomial approximation to f(x)=exf(x) = e^x near a=0a = 0? Based on the patterns you've observed in T1T_1, T2T_2, and T3T_3, conjecture values for the constants d0,…,d4d_0, \ldots, d_4 for a function T4T_4 of the form

T4(x)=d0+d1x+d2x2+d3x3+d4x4T_4(x) = d_0 + d_1 x + d_2 x^2 + d_3 x^3 + d_4 x^4

that satisfies T4(0)=f(0)T_4(0) = f(0), T4′(0)=f′(0)T_4'(0) = f'(0), …\ldots, T4(4)(0)=f(4)(0)T_4^{(4)}(0) = f^{(4)}(0). Add this function T4T_4 to your plot in part (c) that includes f(x)f(x) and the lower-degree polynomial approximations. What do you notice?

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