From Taylor Polynomial to Taylor Series: Infinite Expansions Around a Point

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Alva Benedict B., PhD
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Alva Benedict B. is an experienced mathematician and math content developer with over 15 years of teaching and tutoring experience across high school, undergraduate, and test prep levels. He specializes in Algebra, Calculus, and Statistics, and holds advanced academic training in Mathematics with extensive expertise in LaTeX-based math content development.
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| Questions: 15 | Updated: Feb 6, 2026
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1) The infinite series 1 - (0.1) + (0.1)² - (0.1)³ + ... converges to the value of which function evaluated at x=1.1?

Explanation

The Taylor series for 1/x centered at 1 is 1 - (x-1) + (x-1)² - (x-1)³... If we plug in x=1.1, then (x-1) = 0.1, resulting in the series 1 - 0.1 + (0.1)²... Thus, the sum is 1/1.1.

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About This Quiz
From Taylor Polynomial To Taylor Series: Infinite Expansions Around A Point - Quiz

Taylor series allow us to approximate functions with remarkable accuracy by expanding them into polynomials built from their derivatives at a chosen center. In this quiz, you’ll explore how Taylor and Maclaurin series behave when applied to logarithmic, exponential, and trigonometric functions, and how shifting the expansion point affects the... see moreresulting polynomial. You’ll practice identifying coefficients, constructing Taylor polynomials of various degrees, and evaluating function values using series-based approximations. You will also apply important tools such as the Lagrange error bound and the alternating-series error estimate to judge how accurate an approximation is, especially for values near the expansion center. From computing specific coefficients to estimating expressions like ln(1.2) or e¹·¹, this quiz reinforces both the procedural steps and conceptual understanding needed to work confidently with Taylor expansions.
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2) The coefficient of (x-1)⁴ in the Taylor series for f(x) = eˣ centered at a=1 is

Explanation

We start with the general term for the Taylor series, where the coefficient of (x-a)ⁿ is f⁽ⁿ⁾(a)/n!. For f(x) = eˣ, all derivatives f⁽ⁿ⁾(x) = eˣ, so f⁽ⁿ⁾(1) = e. For n=4, the coefficient is e/4! = e/24.

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3) Find the Taylor polynomial of degree 2 for f(x)=sin(x) centered at a=π/3.

Explanation





To find the Taylor polynomial of degree 2 centered at a = π/3, we use the general formula: T(x) = f(a) + f'(a)(x-a) + f''(a)/2!². We need to calculate the function value and its first two derivatives at x = π/3.

First, we evaluate the function f(x) = sin(x) at a = π/3. Since sin(π/3) is √3/2, the first term (the constant term) is √3/2.

Second, we find the first derivative f'(x). The derivative of sin(x) is cos(x). Evaluating this at a = π/3 gives cos(π/3), which equals 1/2. This gives us the coefficient for the linear term: (1/2)(x-π/3).

Third, we find the second derivative f''(x). The derivative of cos(x) is -sin(x). Evaluating this at a = π/3 gives -sin(π/3), which equals -√3/2. We must divide this value by 2! (which is 2) according to the Taylor formula. This gives us the quadratic term: (-√3/2)/2 * (x-π/3)², which is written in Option A as -(√3/2)(x-π/3)²/2.

Combining these three parts, we get: (√3/2) + (½)(x-π/3) - (√3/2)(x-π/3)²/2.
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4) Using the 3rd-degree Taylor polynomial for ln(x) centered at 1, approximate ln(1.2).

Explanation

The 3rd-degree Taylor polynomial for ln(x) at 1 is (x-1) - (x-1)²/2 + (x-1)³/3. At x=1.2, let h=0.2, so 0.2 - (0.04)/2 + (0.008)/3 = 0.2 - 0.02 + 0.0026667 = 0.1826667, which approximates 0.1827.

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5) The Taylor polynomial of degree 4 for f(x)=eˣ centered at a=1 is

Explanation

We start with f(x) = eˣ, so f(1) = e. Then f'(x) = eˣ, f'(1) = e. f''(x) = eˣ, f''(1) = e. f'''(x) = eˣ, f'''(1) = e. f^(4)(x) = eˣ, f^(4)(1) = e. The polynomial is f(1) + f'(1)(x-1) + f''(1)(x-1)²/2! + f'''(1)(x-1)³/3! + f^(4)(1)(x-1)⁴/4!. Substituting the values gives e + e (x-1) + e (x-1)²/2 + e (x-1)³/6 + e (x-1)⁴/24. Factoring out e gives e [1 + (x-1) + (x-1)²/2 + (x-1)³/6 + (x-1)⁴/24].

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6) Using the 4th-degree Taylor polynomial for eˣ centered at 1, approximate e1.1.

Explanation

The 4th-degree Taylor polynomial for eˣ centered at 1 is e [1 + (x-1) + (x-1)²/2 + (x-1)³/6 + (x-1)⁴/24]. At x=1.1, x-1=0.1, so e [1 + 0.1 + (0.01)/2 + (0.001)/6 + (0.0001)/24]. Compute inside: 1 + 0.1 + 0.005 + 0.0001667 + 0.000004167 ≈ 1.1051708. Then multiply by e ≈ 2.7182818 * 1.1051708 ≈ 3.004166, which rounds to 3.0042.

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7) The Taylor polynomial of degree 3 for f(x)=cos(x) centered at π/3 is

Explanation

We start with f(x) = cos(x), so f(π/3) = cos(π/3) = 1/2. Then we find f'(x) = -sin(x), so f'(π/3) = -√3/2. Next we find f''(x) = -cos(x), so f''(π/3) = -1/2. Then we find f'''(x) = sin(x), so f'''(π/3) = √3/2. The Taylor polynomial is f(π/3) + f'(π/3)(x-π/3) + f''(π/3)(x-π/3)²/2! + f'''(π/3)(x-π/3)³/3!. Substituting the values gives 1/2 + (-√3/2)(x-π/3) + (-½)(x-π/3)²/2 + (√3/2)(x-π/3)³/6.

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8) Using the 3rd-degree Taylor polynomial for sin(x) centered at π/3, approximate sin(π/3+0.1).

Explanation

The 3rd-degree Taylor polynomial for sin(x) centered at π/3 is √3/2 + (½)(x-π/3) - (√3/2)(x-π/3)²/2 - (½)(x-π/3)³/6. At x = π/3 + 0.1, (x-π/3) = 0.1, so √3/2 + (½)(0.1) - (√3/2)(0.01)/2 - (½)(0.001)/6. First √3/2 ≈ 0.8660, (½)(0.1) = 0.05, (√3/2)(0.01)/2 ≈ 0.8660 * 0.005 = 0.00433, (½)(0.001)/6 ≈ 0.5 * 0.001 /6 = 0.0000833. So 0.8660 + 0.05 - 0.00433 - 0.0000833 ≈ 0.9115867, which rounds to 0.9116.

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9) The Lagrange error bound for approximating ln(1.1) using the 3rd-degree Taylor polynomial centered at 1 is at most

Explanation

The Lagrange remainder for degree 3 is |R3(x)| ≤ max |f^(4)(ξ)| (|x-1|⁴ / 4! ) for ξ between 1 and 1.1. For f(x) = ln(x), f^(4)(x) = -6/x⁴, so |f^(4)(ξ)| = 6/ξ⁴. Since ξ in (1,1.1), the max is at ξ=1 (6/1⁴ =6) since 6/ξ⁴ is a decreasing function. So the error bound is (6/24)(|1.1-1|)⁴ =  0.000025.

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10) Using alternating series error bound, error in approximating ln(1.5) with first 4 terms is less than

Explanation

The Taylor series for ln(x) centered at 1 is Σ (-1)^{k+1} (x-1)^k / k for k=1 to ∞. For x=1.5, h=0.5, the series is alternating and the terms decrease in magnitude for |h|<1. The first 4 terms are up to k=4, the next term is the 5th term |(-1)^{5+1} (0.5)⁵ /5| = (0.5)⁵ /5. By the alternating series error bound, the error is less than the absolute value of the first omitted term, which is (0.5)⁵ /5.

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11) As degree increases, Taylor polynomial for eˣ centered at 1 improves over what interval?

Explanation

The Taylor series for eˣ centered at 1 is e Σ (x-1)ⁿ / n! from n=0 to ∞. The series for e^(x-1) is Σ (x-1)ⁿ / n!, which converges for all real x by the ratio test, since lim |a_{n+1}/aₙ| = |x-1|/(n+1) → 0 <1 for all x. Therefore, as the degree increases, the polynomial approximates eˣ over the entire real line.

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12) The remainder term for the Taylor polynomial of degree n for f(x) = cos(x) centered at a = π/3 is given by

Explanation

The Taylor theorem states that the remainder Rₙ(x) = f(x) - Pₙ(x) = fⁿ⁺¹(ξ) (x-a)ⁿ⁺¹ / (n+1)! for some ξ between a and x. For f(x) = cos(x), a = π/3, the remainder is fⁿ⁺¹(ξ) (x-π/3)ⁿ⁺¹ / (n+1)! where ξ is between x and π/3.

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13) Using 3rd-degree Taylor polynomial for cos(x) centered at π/3, approximate cos(π/3+0.1).

Explanation

The 3rd-degree Taylor polynomial for cos(x) centered at π/3 is 1/2 - (√3/2)(x-π/3) - (½)(x-π/3)²/2 + (√3/2)(x-π/3)³/6. At x = π/3 + 0.1, (x-π/3) = 0.1, so 0.5 - (0.8660)(0.1) - (0.5)(0.01)/2 + (0.8660)(0.001)/6. Compute -0.86600.1 = -0.0866, -0.50.005 = -0.0025, +0.8660*0.001 /6 ≈ 0.000866 /6 ≈ 0.000144. So 0.5 -0.0866 -0.0025 +0.000144 ≈ 0.411044, which rounds to 0.4110.

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14) Compute remainder term using Lagrange form for approximating e^1.1 using 4th-degree Taylor polynomial centered at 1.

Explanation

The Lagrange remainder for degree 4 is R4(x) = f^(5)(c) (x-1)⁵ /5! for some c between 1 and x. For f(x) = eˣ, f^(5)(c) = e^c, x=1.1, (x-1)=0.1, 5! =120, so e^c (0.1)⁵ /120 for some c between 1 and 1.1.

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15) The function f has derivatives of all orders. It is known that |f^{(4)}(x)| ≤ 12 for 2 ≤ x ≤ 3. Let P₃(x) be the third-degree Taylor polynomial for f centered at x = 2. What is the smallest k such that the Lagrange error bound guarantees |f(3) − P₃(3)| ≤ k?

Explanation

We are using a third-degree Taylor polynomial (n = 3), so the Lagrange remainder uses the fourth derivative. The distance from the center a = 2 to x = 3 is |3−2| = 1. The error bound is |R₃(3)| ≤ (max |f^{(4)}(z)|) · |3−2|^{4}/4! ≤ 12 · 1⁴/24 = 12/24 = 1/2, which is exactly (1⁴/4!) · 12.

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Alva Benedict B. |PhD
College Expert
Alva Benedict B. is an experienced mathematician and math content developer with over 15 years of teaching and tutoring experience across high school, undergraduate, and test prep levels. He specializes in Algebra, Calculus, and Statistics, and holds advanced academic training in Mathematics with extensive expertise in LaTeX-based math content development.
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The infinite series 1 - (0.1) + (0.1)² - (0.1)³ + ......
The coefficient of (x-1)⁴ in the Taylor series for f(x) = eˣ...
Find the Taylor polynomial of degree 2 for f(x)=sin(x) centered at...
Using the 3rd-degree Taylor polynomial for ln(x) centered at 1,...
The Taylor polynomial of degree 4 for f(x)=eˣ centered at a=1 is
Using the 4th-degree Taylor polynomial for eˣ centered at 1,...
The Taylor polynomial of degree 3 for f(x)=cos(x) centered at π/3...
Using the 3rd-degree Taylor polynomial for sin(x) centered at π/3,...
The Lagrange error bound for approximating ln(1.1) using the...
Using alternating series error bound, error in approximating ln(1.5)...
As degree increases, Taylor polynomial for eˣ centered at 1 improves...
The remainder term for the Taylor polynomial of degree n for f(x) =...
Using 3rd-degree Taylor polynomial for cos(x) centered at π/3,...
Compute remainder term using Lagrange form for approximating e^1.1...
The function f has derivatives of all orders. It is known that...
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