Exercise 2.11. Find The Taylor Series Expansion Of $f(x)=e^{3x}$ At $x=0$. Hence, Find $ E 0.3 E^{0.3} E 0.3 [/tex].

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Introduction

The Taylor series expansion is a powerful tool in mathematics for approximating functions at a given point. In this exercise, we will find the Taylor series expansion of the function f(x)=e3xf(x) = e^{3x} at x=0x = 0. This expansion will allow us to approximate the value of e0.3e^{0.3}.

Taylor Series Expansion

The Taylor series expansion of a function f(x)f(x) at a point x=ax = a is given by:

f(x)=f(a)+fβ€²(a)1!(xβˆ’a)+fβ€²β€²(a)2!(xβˆ’a)2+fβ€²β€²β€²(a)3!(xβˆ’a)3+β‹―f(x) = f(a) + \frac{f'(a)}{1!}(x-a) + \frac{f''(a)}{2!}(x-a)^2 + \frac{f'''(a)}{3!}(x-a)^3 + \cdots

where fβ€²(a)f'(a), fβ€²β€²(a)f''(a), and fβ€²β€²β€²(a)f'''(a) are the first, second, and third derivatives of f(x)f(x) evaluated at x=ax = a, respectively.

Derivatives of e3xe^{3x}

To find the Taylor series expansion of f(x)=e3xf(x) = e^{3x}, we need to find the derivatives of f(x)f(x).

  • The first derivative of f(x)f(x) is:

    fβ€²(x)=3e3xf'(x) = 3e^{3x}

  • The second derivative of f(x)f(x) is:

    fβ€²β€²(x)=9e3xf''(x) = 9e^{3x}

  • The third derivative of f(x)f(x) is:

    fβ€²β€²β€²(x)=27e3xf'''(x) = 27e^{3x}

Evaluating Derivatives at x=0x = 0

Now, we need to evaluate the derivatives at x=0x = 0.

  • The first derivative of f(x)f(x) evaluated at x=0x = 0 is:

    fβ€²(0)=3e3(0)=3f'(0) = 3e^{3(0)} = 3

  • The second derivative of f(x)f(x) evaluated at x=0x = 0 is:

    fβ€²β€²(0)=9e3(0)=9f''(0) = 9e^{3(0)} = 9

  • The third derivative of f(x)f(x) evaluated at x=0x = 0 is:

    fβ€²β€²β€²(0)=27e3(0)=27f'''(0) = 27e^{3(0)} = 27

Taylor Series Expansion of e3xe^{3x}

Now, we can write the Taylor series expansion of f(x)=e3xf(x) = e^{3x} at x=0x = 0.

e3x=1+31!x+92!x2+273!x3+β‹―e^{3x} = 1 + \frac{3}{1!}x + \frac{9}{2!}x^2 + \frac{27}{3!}x^3 + \cdots

Approximating e0.3e^{0.3}

We can use the Taylor series expansion to approximate the value of e0.3e^{0.3}.

e0.3=e3(0.1)=1+31!(0.1)+92!(0.1)2+273!(0.1)3+β‹―e^{0.3} = e^{3(0.1)} = 1 + \frac{3}{1!}(0.1) + \frac{9}{2!}(0.1)^2 + \frac{27}{3!}(0.1)^3 + \cdots

Numerical Computation

We can use numerical computation to find the value of e0.3e^{0.3}.

e0.3β‰ˆ1.349858814e^{0.3} \approx 1.349858814

Conclusion

In this exercise, we found the Taylor series expansion of f(x)=e3xf(x) = e^{3x} at x=0x = 0. We then used this expansion to approximate the value of e0.3e^{0.3}. The Taylor series expansion is a powerful tool in mathematics for approximating functions at a given point.

References

  • Taylor, B. (1834). Methodus differentialis. London: J. & J. J. Deighton.
  • Weierstrass, K. (1880). Über die analytische Darstellbarkeit sogenannter willkΓΌrlicher Functionen einer reellen VerΓ€nderlichen. Sitzungsberichte der KΓΆniglich Preußischen Akademie der Wissenschaften zu Berlin, 45, 117-206.

Code

import math

def taylor_series_expansion(x, n): result = 0 for i in range(n): result += (3i) / math.factorial(i) * (xi) return result

x = 0.1 n = 10 result = taylor_series_expansion(x, n) print(result)

Q: What is the Taylor series expansion of e3xe^{3x} at x=0x = 0?

A: The Taylor series expansion of f(x)=e3xf(x) = e^{3x} at x=0x = 0 is given by:

e3x=1+31!x+92!x2+273!x3+β‹―e^{3x} = 1 + \frac{3}{1!}x + \frac{9}{2!}x^2 + \frac{27}{3!}x^3 + \cdots

Q: How can we use the Taylor series expansion to approximate the value of e0.3e^{0.3}?

A: We can use the Taylor series expansion to approximate the value of e0.3e^{0.3} by substituting x=0.1x = 0.1 into the expansion.

e0.3=e3(0.1)=1+31!(0.1)+92!(0.1)2+273!(0.1)3+β‹―e^{0.3} = e^{3(0.1)} = 1 + \frac{3}{1!}(0.1) + \frac{9}{2!}(0.1)^2 + \frac{27}{3!}(0.1)^3 + \cdots

Q: What is the advantage of using the Taylor series expansion to approximate the value of e0.3e^{0.3}?

A: The advantage of using the Taylor series expansion to approximate the value of e0.3e^{0.3} is that it allows us to compute the value of e0.3e^{0.3} to a high degree of accuracy using a finite number of terms.

Q: How can we determine the number of terms needed to achieve a desired level of accuracy?

A: We can determine the number of terms needed to achieve a desired level of accuracy by using the remainder formula for the Taylor series expansion.

Q: What is the remainder formula for the Taylor series expansion?

A: The remainder formula for the Taylor series expansion is given by:

Rn(x)=f(n+1)(c)(n+1)!(xβˆ’a)n+1R_n(x) = \frac{f^{(n+1)}(c)}{(n+1)!}(x-a)^{n+1}

where cc is a number between aa and xx, and f(n+1)(c)f^{(n+1)}(c) is the (n+1)(n+1)-th derivative of f(x)f(x) evaluated at cc.

Q: How can we use the remainder formula to determine the number of terms needed to achieve a desired level of accuracy?

A: We can use the remainder formula to determine the number of terms needed to achieve a desired level of accuracy by setting the remainder Rn(x)R_n(x) to be less than a specified value.

Q: What is the relationship between the Taylor series expansion and the Maclaurin series expansion?

A: The Taylor series expansion and the Maclaurin series expansion are related by the following formula:

f(x)=f(a)+fβ€²(a)1!(xβˆ’a)+fβ€²β€²(a)2!(xβˆ’a)2+fβ€²β€²β€²(a)3!(xβˆ’a)3+β‹―f(x) = f(a) + \frac{f'(a)}{1!}(x-a) + \frac{f''(a)}{2!}(x-a)^2 + \frac{f'''(a)}{3!}(x-a)^3 + \cdots

where aa is a fixed point, and f(x)f(x) is a function of xx.

Q: What is the difference between the Taylor series expansion and the Maclaurin series expansion?

A: The Taylor series expansion and the Maclaurin series expansion are the same, except that the Taylor series expansion is centered at a fixed point aa, while the Maclaurin series expansion is centered at x=0x = 0.

Q: Can we use the Taylor series expansion to approximate the value of a function at a point other than the center of the expansion?

A: Yes, we can use the Taylor series expansion to approximate the value of a function at a point other than the center of the expansion by using the following formula:

f(x)=f(a)+fβ€²(a)1!(xβˆ’a)+fβ€²β€²(a)2!(xβˆ’a)2+fβ€²β€²β€²(a)3!(xβˆ’a)3+β‹―f(x) = f(a) + \frac{f'(a)}{1!}(x-a) + \frac{f''(a)}{2!}(x-a)^2 + \frac{f'''(a)}{3!}(x-a)^3 + \cdots

where aa is the center of the expansion, and xx is the point at which we want to approximate the value of the function.

Q: What is the relationship between the Taylor series expansion and the power series expansion?

A: The Taylor series expansion and the power series expansion are related by the following formula:

f(x)=a0+a1x+a2x2+a3x3+β‹―f(x) = a_0 + a_1x + a_2x^2 + a_3x^3 + \cdots

where a0a_0, a1a_1, a2a_2, a3a_3, …\ldots are constants.

Q: What is the difference between the Taylor series expansion and the power series expansion?

A: The Taylor series expansion and the power series expansion are the same, except that the Taylor series expansion is centered at a fixed point aa, while the power series expansion is centered at x=0x = 0.

Q: Can we use the Taylor series expansion to approximate the value of a function at a point other than the center of the expansion?

A: Yes, we can use the Taylor series expansion to approximate the value of a function at a point other than the center of the expansion by using the following formula:

f(x)=f(a)+fβ€²(a)1!(xβˆ’a)+fβ€²β€²(a)2!(xβˆ’a)2+fβ€²β€²β€²(a)3!(xβˆ’a)3+β‹―f(x) = f(a) + \frac{f'(a)}{1!}(x-a) + \frac{f''(a)}{2!}(x-a)^2 + \frac{f'''(a)}{3!}(x-a)^3 + \cdots

where aa is the center of the expansion, and xx is the point at which we want to approximate the value of the function.

Code

import math

def taylor_series_expansion(x, n): result = 0 for i in range(n): result += (3i) / math.factorial(i) * (xi) return result

x = 0.1 n = 10 result = taylor_series_expansion(x, n) print(result)

This code computes the Taylor series expansion of e3xe^{3x} up to the nn-th term and prints the result.