QUESTION IMAGE
Question
suppose that f(500) = 8000 and f’(500) = 30. estimate each of the following. (a) f(501) (b) f(500.5) (c) f(499) (d) f(498) (e) f(499.75)
To solve this problem, we use the linear approximation formula, which is based on the idea that for a function \( f(x) \) that is differentiable at \( x = a \), the value of \( f(x) \) near \( a \) can be approximated by:
\[
f(x) \approx f(a) + f'(a)(x - a)
\]
where \( a = 500 \), \( f(a) = 8000 \), and \( f'(a) = 30 \). We will apply this formula to each part (a) to (e).
Part (a): Estimate \( f(501) \)
Step 1: Identify \( a \), \( x \), \( f(a) \), and \( f'(a) \)
Here, \( a = 500 \), \( x = 501 \), \( f(a) = 8000 \), and \( f'(a) = 30 \).
Step 2: Apply the linear approximation formula
\[
f(501) \approx f(500) + f'(500)(501 - 500)
\]
\[
f(501) \approx 8000 + 30(1)
\]
\[
f(501) \approx 8000 + 30
\]
\[
f(501) \approx 8030
\]
Part (b): Estimate \( f(500.5) \)
Step 1: Identify \( a \), \( x \), \( f(a) \), and \( f'(a) \)
Here, \( a = 500 \), \( x = 500.5 \), \( f(a) = 8000 \), and \( f'(a) = 30 \).
Step 2: Apply the linear approximation formula
\[
f(500.5) \approx f(500) + f'(500)(500.5 - 500)
\]
\[
f(500.5) \approx 8000 + 30(0.5)
\]
\[
f(500.5) \approx 8000 + 15
\]
\[
f(500.5) \approx 8015
\]
Part (c): Estimate \( f(499) \)
Step 1: Identify \( a \), \( x \), \( f(a) \), and \( f'(a) \)
Here, \( a = 500 \), \( x = 499 \), \( f(a) = 8000 \), and \( f'(a) = 30 \).
Step 2: Apply the linear approximation formula
\[
f(499) \approx f(500) + f'(500)(499 - 500)
\]
\[
f(499) \approx 8000 + 30(-1)
\]
\[
f(499) \approx 8000 - 30
\]
\[
f(499) \approx 7970
\]
Part (d): Estimate \( f(498) \)
Step 1: Identify \( a \), \( x \), \( f(a) \), and \( f'(a) \)
Here, \( a = 500 \), \( x = 498 \), \( f(a) = 8000 \), and \( f'(a) = 30 \).
Step 2: Apply the linear approximation formula
\[
f(498) \approx f(500) + f'(500)(498 - 500)
\]
\[
f(498) \approx 8000 + 30(-2)
\]
\[
f(498) \approx 8000 - 60
\]
\[
f(498) \approx 7940
\]
Part (e): Estimate \( f(499.75) \)
Step 1: Identify \( a \), \( x \), \( f(a) \), and \( f'(a) \)
Here, \( a = 500 \), \( x = 499.75 \), \( f(a) = 8000 \), and \( f'(a) = 30 \).
Step 2: Apply the linear approximation formula
\[
f(499.75) \approx f(500) + f'(500)(499.75 - 500)
\]
\[
f(499.75) \approx 8000 + 30(-0.25)
\]
\[
f(499.75) \approx 8000 - 7.5
\]
\[
f(499.75) \approx 7992.5
\]
Final Answers
(a) \( \boldsymbol{f(501) \approx 8030} \)
(b) \( \boldsymbol{f(500.5) \approx 8015} \)
(c) \( \boldsymbol{f(499) \approx 7970} \)
(d) \( \boldsymbol{f(498) \approx 7940} \)
(e) \( \boldsymbol{f(499.75) \approx 7992.5} \)
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To solve this problem, we use the linear approximation formula, which is based on the idea that for a function \( f(x) \) that is differentiable at \( x = a \), the value of \( f(x) \) near \( a \) can be approximated by:
\[
f(x) \approx f(a) + f'(a)(x - a)
\]
where \( a = 500 \), \( f(a) = 8000 \), and \( f'(a) = 30 \). We will apply this formula to each part (a) to (e).
Part (a): Estimate \( f(501) \)
Step 1: Identify \( a \), \( x \), \( f(a) \), and \( f'(a) \)
Here, \( a = 500 \), \( x = 501 \), \( f(a) = 8000 \), and \( f'(a) = 30 \).
Step 2: Apply the linear approximation formula
\[
f(501) \approx f(500) + f'(500)(501 - 500)
\]
\[
f(501) \approx 8000 + 30(1)
\]
\[
f(501) \approx 8000 + 30
\]
\[
f(501) \approx 8030
\]
Part (b): Estimate \( f(500.5) \)
Step 1: Identify \( a \), \( x \), \( f(a) \), and \( f'(a) \)
Here, \( a = 500 \), \( x = 500.5 \), \( f(a) = 8000 \), and \( f'(a) = 30 \).
Step 2: Apply the linear approximation formula
\[
f(500.5) \approx f(500) + f'(500)(500.5 - 500)
\]
\[
f(500.5) \approx 8000 + 30(0.5)
\]
\[
f(500.5) \approx 8000 + 15
\]
\[
f(500.5) \approx 8015
\]
Part (c): Estimate \( f(499) \)
Step 1: Identify \( a \), \( x \), \( f(a) \), and \( f'(a) \)
Here, \( a = 500 \), \( x = 499 \), \( f(a) = 8000 \), and \( f'(a) = 30 \).
Step 2: Apply the linear approximation formula
\[
f(499) \approx f(500) + f'(500)(499 - 500)
\]
\[
f(499) \approx 8000 + 30(-1)
\]
\[
f(499) \approx 8000 - 30
\]
\[
f(499) \approx 7970
\]
Part (d): Estimate \( f(498) \)
Step 1: Identify \( a \), \( x \), \( f(a) \), and \( f'(a) \)
Here, \( a = 500 \), \( x = 498 \), \( f(a) = 8000 \), and \( f'(a) = 30 \).
Step 2: Apply the linear approximation formula
\[
f(498) \approx f(500) + f'(500)(498 - 500)
\]
\[
f(498) \approx 8000 + 30(-2)
\]
\[
f(498) \approx 8000 - 60
\]
\[
f(498) \approx 7940
\]
Part (e): Estimate \( f(499.75) \)
Step 1: Identify \( a \), \( x \), \( f(a) \), and \( f'(a) \)
Here, \( a = 500 \), \( x = 499.75 \), \( f(a) = 8000 \), and \( f'(a) = 30 \).
Step 2: Apply the linear approximation formula
\[
f(499.75) \approx f(500) + f'(500)(499.75 - 500)
\]
\[
f(499.75) \approx 8000 + 30(-0.25)
\]
\[
f(499.75) \approx 8000 - 7.5
\]
\[
f(499.75) \approx 7992.5
\]
Final Answers
(a) \( \boldsymbol{f(501) \approx 8030} \)
(b) \( \boldsymbol{f(500.5) \approx 8015} \)
(c) \( \boldsymbol{f(499) \approx 7970} \)
(d) \( \boldsymbol{f(498) \approx 7940} \)
(e) \( \boldsymbol{f(499.75) \approx 7992.5} \)