To solve the problem, we need to correctly interpret the fifth Maclaurin polynomial for e2x given in a compact form and then approximate e−0.98 using P(0.49)1. Finally, we will calculate the absolute and relative errors.
Fifth Maclaurin Polynomial for e2x
Given the polynomial:
P(x)=(((x+3)x+)x+2)x+2)x+1
It seems the given expression is incorrect or typographically unclear. Let's start with the correct Maclaurin series expansion for e2x:
e2x=∑n=0∞n!(2x)n=1+2x+2!(2x)2+3!(2x)3+4!(2x)4+5!(2x)5+⋯
The fifth Maclaurin polynomial is:
P5(x)=1+2x+2x2+68x3+2416x4+12032x5
P5(x)=1+2x+2x2+34x3+32x4+154x5
Calculation of P(0.49)
P5(0.49)=1+2(0.49)+2(0.49)2+34(0.49)3+32(0.49)4+154(0.49)5
Calculating each term:
1
+2(0.49)=0.98
+2(0.49)2=2(0.2401)=0.4802
+34(0.49)3=34(0.117649)=30.470596=0.156865
+32(0.49)4=32(0.05764801)=30.11529602=0.038432
+154(0.49)5=154(0.028236441)=150.112945764=0.007530
Summing these terms:
P5(0.49)=1+0.98+0.4802+0.156865+0.038432+0.007530
P5(0.49)≈2.6630
Approximation Using P(0.49)1
Using four-digit rounding arithmetic:
P(0.49)1=2.66301≈0.3755
Exact Value and Errors
The exact value of e−0.98 is:
e−0.98≈0.3753
Absolute Error
Absolute Error=∣Exact Value−Approximate Value∣=∣0.3753−0.3755∣=0.0002
Relative Error
Relative Error=Exact ValueAbsolute Error=0.37530.0002≈0.0005
Summary
- Approximate Value using P(0.49)1: 0.3755
- Exact Value of e−0.98: 0.3753
- Absolute Error: 0.0002
- Relative Error: 0.0005
Would you like more details or have any questions?
Related Questions
- What is the general form of the Maclaurin series for ex?
- How does the Taylor series differ from the Maclaurin series?
- What are some applications of Maclaurin series in real-world problems?
- How can we improve the accuracy of our polynomial approximations?
- What are some limitations of using Maclaurin series for approximations?
- How do we determine the radius of convergence for a power series?
- What is the significance of the fifth-degree polynomial in approximations?
- How can we extend these concepts to multivariable functions?
Tip
Always use the exact value and keep intermediate results in higher precision to minimize rounding errors.