Post

Created by @nathanedwards
 at November 4th 2023, 6:57:58 pm.

Question:

Let f(x)=x2+43f(x) = \sqrt[3]{x^2 + 4}. Consider the point P(3,f(3))P(3, f(3)) on the graph of ff.

a) Use linear approximation to estimate the value of f(3.02)f(3.02).

b) Determine an upper bound for the absolute error in the linear approximation obtained in part (a).

c) Find the differential dydy and evaluate dydy when x=3x = 3 and dx=0.02dx = 0.02.

Answer:

a) Estimating f(3.02)f(3.02) using linear approximation:

The linear approximation of a function ff at a point (a,f(a))(a, f(a)) can be expressed as:

L(x)=f(a)+f(a)(xa)L(x) = f(a) + f'(a)(x - a)

where f(a)f'(a) is the derivative of ff evaluated at aa. In this case, a=3a=3 and f(a)=f(3)f(a) = f(3).

To find f(3)f'(3), we differentiate f(x)f(x) with respect to xx, which gives:

f(x)=23x2+4312xf'(x) = \frac{2}{3 \sqrt[3]{x^2 + 4}} \cdot \frac{1}{2}x

Thus, f(3)=2332+43123f'(3) = \frac{2}{3 \sqrt[3]{3^2 + 4}} \cdot \frac{1}{2} \cdot 3 becomes:

f(3)=3473f'(3) = \frac{3}{4 \sqrt[3]{7}}

Now, using the linear approximation formula, we have:

L(x)=f(3)+f(3)(x3)L(x) = f(3) + f'(3) \cdot (x - 3)

Substituting the values, we get:

L(x)=32+43+3473(x3)L(x) = \sqrt[3]{3^2 + 4} + \frac{3}{4 \sqrt[3]{7}} \cdot (x - 3)

For x=3.02x = 3.02, the estimate for f(3.02)f(3.02) is:

L(3.02)=32+43+3473(3.023)L(3.02) = \sqrt[3]{3^2 + 4} + \frac{3}{4 \sqrt[3]{7}} \cdot (3.02 - 3)

Simplifying the above expression gives:

L(3.02)=133+34730.02L(3.02) = \sqrt[3]{13} + \frac{3}{4 \sqrt[3]{7}} \cdot 0.02

Finally, the estimate for f(3.02)f(3.02) is approximately:

L(3.02)133+0.03473L(3.02) \approx \sqrt[3]{13} + \frac{0.03}{4 \sqrt[3]{7}}

b) Upper bound for the absolute error:

The upper bound for the absolute error in linear approximation can be determined using the formula:

E(x)=f(c)2(xa)2E(x) = \frac{f''(c)}{2}(x-a)^2

where f(c)f''(c) is the second derivative of ff evaluated at some point cc in the interval between aa and xx.

To find the upper bound, we need to find the maximum value of f(x)f''(x) in the interval [3, 3.02].

Differentiating f(x)f'(x) with respect to xx gives:

f(x)=8x9(x2+4)53f''(x) = -\frac{8x}{9(x^2 + 4)^{\frac{5}{3}}}

Finding the critical points by solving f(x)=0f''(x) = 0:

8x9(x2+4)53=0-\frac{8x}{9(x^2 + 4)^{\frac{5}{3}}} = 0

This equation holds true when x=0x = 0.

Evaluating f(x)f''(x) at the endpoints and critical points, we have:

f(3)=8(3)9(32+4)53f''(3) = -\frac{8(3)}{9(3^2 + 4)^{\frac{5}{3}}}
f(0)=8(0)9(02+4)53f''(0) = -\frac{8(0)}{9(0^2 + 4)^{\frac{5}{3}}}

Calculating these values yields:

f(3)=88173f''(3) = -\frac{8}{81\sqrt[3]{7}}
f(0)=0f''(0) = 0

Since f(0)f''(0) is not defined, we consider f(c)=f(3)f''(c) = f''(3) as the maximum value for the second derivative.

Substituting these values into the upper bound formula, we get:

E(3.02)=f(3)2(3.023)2E(3.02) = \frac{f''(3)}{2}(3.02 - 3)^2

Simplifying the expression gives:

E(3.02)=881732(0.02)2E(3.02) = \frac{-\frac{8}{81\sqrt[3]{7}}}{2}(0.02)^2

Finally, the upper bound for the absolute error in the linear approximation is approximately:

E(3.02)181073E(3.02) \approx \frac{-1}{810\sqrt[3]{7}}

c) Finding the differential dydy and evaluating dydy when x=3x = 3 and dx=0.02dx = 0.02:

The differential dydy represents the change in yy (or f(x)f(x)) due to a small change in xx, denoted as dxdx. It can be calculated using the formula:

dy=f(a)dxdy = f'(a) \cdot dx

where aa is the value of xx and dxdx represents the change in xx.

Given that a=3a = 3 and dx=0.02dx = 0.02, we already calculated f(3)f'(3) as:

f(3)=3473f'(3) = \frac{3}{4 \sqrt[3]{7}}

Substituting these values, we have:

dy=34730.02dy = \frac{3}{4 \sqrt[3]{7}} \cdot 0.02

Evaluating the expression, we get:

dy0.03273dy \approx \frac{0.03}{2 \sqrt[3]{7}}

Thus, dydy when x=3x = 3 and dx=0.02dx = 0.02 is approximately:

dy0.03273dy \approx \frac{0.03}{2 \sqrt[3]{7}}