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Flashcards · AP® Calculus BC · Unit 10
Unit 10: Infinite Sequences and Series flashcards
102 cards on topics 10.1 to 10.15 (BC only). Pick a topic or study the whole unit.
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10.1 Defining Convergent and Divergent Infinite Series
- What does it mean for an infinite series to converge?
- The series Σ aₙ converges to S exactly when the partial sums Sₙ = a₁ + … + aₙ have lim (n → ∞) Sₙ = S. If lim Sₙ does not exist (infinite or never settling), the series diverges and has no sum.
- Is the sum of a series the limit of its terms?
- No. The sum is lim Sₙ, the limit of the partial sums, not lim aₙ.
- Sₙ = 2n/(n + 1) for Σ (n = 1 to ∞) aₙ. Find a₁, a₃ and the sum.
- a₁ = S₁ = 1. a₃ = S₃ − S₂ = 3/2 − 4/3 = 1/6. The sum is lim Sₙ = 2.
- How do you sum a telescoping series such as Σ (n = 1 to ∞) (1/(n + 1) − 1/(n + 2))?
- Write out the first and last few brackets so the middle cancels: Sₙ = ½ − 1/(n + 2). Then take the limit: the sum is ½.
- If aₙ → 0, must Σ aₙ converge?
- No. Σ (√(n + 1) − √n) has terms tending to 0, but Sₙ = √(n + 1) − 1 → ∞, so it diverges. Σ ln((n + 1)/n) is another example.
- Does 1 − 1 + 1 − 1 + … have a sum?
- No. Its partial sums are 1, 0, 1, 0, …, which never settle, so it diverges even though they are bounded.
- Does changing the starting index of a series change whether it converges?
- No, only the sum changes. Σ (n = 3 to ∞) 2/((n + 1)(n + 3)) converges, with sum 9/20 instead of 5/6 from n = 1.
10.2 Working with Geometric Series
- When does a geometric series converge, and to what?
- Σ (n = 0 to ∞) arⁿ converges to a/(1 − r) when |r| is less than 1, where a is the first term. If |r| ≥ 1 (and a ≠ 0), it diverges.
- What is the partial sum of a geometric series?
- Sₙ = a(1 − rⁿ)/(1 − r) for r ≠ 1, found by subtracting r·Sₙ from Sₙ. For 40 + 36 + … (r = 0.9), S₁₀ ≈ 260.529.
- Find Σ (n = 0 to ∞) 7(2/5)ⁿ.
- a = 7 and r = 2/5, so the sum is 7/(1 − 2/5) = 7/(3/5) = 35/3.
- Find Σ (n = 1 to ∞) (−1)ⁿ·5/2ⁿ.
- The first term (n = 1) is −5/2 and r = −½, so the sum is (−5/2)/(3/2) = −5/3.
- Find Σ (n = 2 to ∞) 8(−3/4)ⁿ.
- Use the actual first term: 8(9/16) = 9/2. With r = −3/4, the sum is (9/2)/(1 + 3/4) = (9/2)/(7/4) = 18/7.
- For which x does Σ ((x − 1)/3)ⁿ converge, and to what?
- |(x − 1)/3| less than 1 gives −2 to 4, open at both ends (geometric endpoints diverge). The sum is 1/(1 − (x − 1)/3) = 3/(4 − x).
- How do you write 0.4545… as a fraction with a geometric series?
- a = 0.45 and r = 0.01, so the sum is 0.45/0.99 = 5/11.
10.3 The nth Term Test for Divergence
- What is the nth term test for divergence?
- If lim (n → ∞) aₙ ≠ 0 (or does not exist), then Σ aₙ diverges. It works because a convergent series has aₙ = Sₙ − Sₙ₋₁ → S − S = 0.
- What does the nth term test tell you when lim aₙ = 0?
- Nothing. The test never proves convergence: you must use another method. Example: Σ 1/n has terms → 0 but diverges.
- Does Σ (4n + 1)/(9n − 2) converge?
- No. aₙ → 4/9 ≠ 0, so the series diverges by the nth term test. It does not "converge to 4/9".
- Does Σ cos(1/n) converge?
- No. aₙ → cos 0 = 1 ≠ 0, so it diverges by the nth term test.
- What does the nth term test say about Σ (−1)ⁿ n/(3n + 2)?
- The terms swing between about +1/3 and −1/3, so lim aₙ does not exist. It is not 0, so the series diverges.
- How should an nth term test justification be written?
- "lim (n → ∞) aₙ = … ≠ 0, so by the nth term test, Σ aₙ diverges." Give the limit value and name the test. Note (1 + k/n)ⁿ → eᵏ, not 1.
10.4 Integral Test for Convergence
- What are the conditions and conclusion of the integral test?
- If f is positive, continuous and decreasing for x ≥ N with aₙ = f(n), then Σ (n = N to ∞) aₙ and ∫ (N to ∞) f(x) dx both converge or both diverge.
- Does the integral test give the sum of the series?
- No. Σ 3/(n + 2)² converges because ∫ (1 to ∞) 3/(x + 2)² dx = 1 is finite, but the sum is not 1.
- Use the integral test on Σ 1/(2n + 5).
- f(x) = 1/(2x + 5) is positive, continuous and decreasing. ∫ (1 to b) f dx = ½ ln((2b + 5)/7) → ∞ as b → ∞, so the series diverges.
- Why can you not use the integral test on Σ (−1)ⁿ/n²?
- The terms are not all positive. The test needs f positive (and continuous and decreasing).
- Why does a finite integral make the series converge?
- Width-1 rectangles of height aₙ drawn below the curve show a₂ + … + aₙ ≤ ∫ (1 to ∞) f, so the partial sums are bounded above and increasing.
- What mistakes are common with the integral test?
- Claiming the sum equals the integral; omitting the conditions or not showing why f is decreasing; writing an antiderivative with no limit as b → ∞; arguing "f → 0 so the integral converges".
10.5 Harmonic Series and p-Series
- When does a p-series Σ 1/nᵖ converge?
- It converges if p > 1 and diverges if p ≤ 1. The boundary case p = 1 diverges.
- What is the harmonic series and why is it important?
- Σ 1/n, the p-series with p = 1. It diverges even though 1/n → 0, so terms tending to 0 never prove convergence.
- Does Σ n²/n^(7/2) converge?
- Simplify first: the term is 1/n^(3/2), so p = 3/2 > 1 and it converges.
- Does Σ 1/(n^0.5·n^0.4) converge?
- No. The term is 1/n^0.9, so p = 0.9 ≤ 1 and it diverges.
- Does Σ (1/n³ + 1/n) converge?
- No. Convergent plus divergent is divergent. (Divergent plus divergent gives no conclusion.)
- Does the alternating harmonic series 1 − 1/2 + 1/3 − … converge?
- Yes, by the alternating series test, although Σ 1/n with the same term sizes diverges.
- Is Σ 1/3ⁿ a p-series?
- No. The variable is in the exponent, so it is geometric (r = 1/3). In a p-series, n is in the base and p is constant.
10.6 Comparison Tests for Convergence
- What does the direct comparison test say?
- For positive terms: if 0 ≤ aₙ ≤ bₙ eventually and Σ bₙ converges, Σ aₙ converges. If aₙ ≥ bₙ ≥ 0 and Σ bₙ diverges, Σ aₙ diverges. Smaller than divergent or bigger than convergent gives no conclusion.
- What does the limit comparison test say?
- If aₙ, bₙ > 0 and lim aₙ/bₙ = L with L positive and finite, then Σ aₙ and Σ bₙ both converge or both diverge.
- Does Σ 1/(n³ + n) converge?
- Yes. 0 ≤ aₙ ≤ 1/n³ for n ≥ 1, and Σ 1/n³ converges (p = 3), so it converges by direct comparison.
- Does Σ (n + 1)/(n² + 1) converge?
- No. Limit comparison with 1/n gives L = lim (n² + n)/(n² + 1) = 1, and Σ 1/n diverges.
- Does Σ 1/(5ⁿ − 1) converge?
- Yes. Direct comparison with (1/5)ⁿ fails because aₙ > (1/5)ⁿ, but limit comparison gives L = 1 and the geometric series with r = 1/5 converges.
- How do you choose a benchmark series for comparison?
- Guess from the dominant terms, usually a p-series or geometric series. Useful bounds: |sin n| ≤ 1, 0 ≤ cos²n ≤ 1, arctan n between 0 and π/2.
- What mistakes are common with comparison tests?
- A useless direction ("smaller than Σ 1/n, so it diverges"); no positivity check; using lim aₙ instead of lim aₙ/bₙ; accepting L = 0 or ∞; not saying why the benchmark converges.
10.7 Alternating Series Test for Convergence
- What is the alternating series test?
- For Σ (−1)ⁿaₙ or Σ (−1)ⁿ⁺¹aₙ with aₙ > 0: if aₙ₊₁ ≤ aₙ from some n on and lim aₙ = 0, the series converges.
- Why does the alternating series test work?
- Each partial sum overshoots the last by less than before, so the zigzag of partial sums closes onto a single limit.
- Does Σ (−1)ⁿ/n^(1/4) converge?
- Yes. 1/n^(1/4) is positive, decreasing and tends to 0, so it converges by the alternating series test.
- Does Σ (−1)ⁿ(n + 1)/n converge?
- No. aₙ → 1, so it diverges by the nth term test. The alternating series test can never show divergence.
- Is Σ cos(nπ)/(n² + 1) alternating, and does it converge?
- Yes and yes: cos(nπ) = (−1)ⁿ, and 1/(n² + 1) decreases to 0.
- What mistakes are common with the alternating series test?
- Checking only one condition; claiming "diverges by the alternating series test"; proving "decreasing" from a few terms instead of an inequality or derivative; missing an early rise (√n/(n + 5)); no conclusion sentence.
10.8 Ratio Test for Convergence
- What is the ratio test?
- Find L = lim (n → ∞) |aₙ₊₁/aₙ|. If L is less than 1, Σ aₙ converges absolutely. If L > 1 or L = ∞, it diverges. If L = 1, there is no conclusion.
- Why is L = 1 inconclusive in the ratio test?
- Σ 1/n diverges and Σ 1/n² converges, yet both give L = 1. Use a p-series or comparison test instead.
- Use the ratio test on Σ 4ⁿ/n!.
- |aₙ₊₁/aₙ| = 4ⁿ⁺¹n!/((n + 1)!4ⁿ) = 4/(n + 1) → 0, which is less than 1, so the series converges.
- Use the ratio test on Σ 2ⁿ/n².
- |aₙ₊₁/aₙ| = 2n²/(n + 1)² → 2 > 1, so the series diverges.
- Which factorial simplifications are needed for the ratio test?
- (n + 1)!/n! = n + 1 and (2n + 2)!/(2n)! = (2n + 2)(2n + 1). Note (n + 1)! = (n + 1)·n!, not n! + 1.
- When is the ratio test the right choice?
- When terms contain n!, (2n)! or powers like 3ⁿ. For terms with only powers of n, the ratio test gives L = 1, so use a p-series or comparison.
- Use the ratio test on Σ n³/2ⁿ.
- |aₙ₊₁/aₙ| = (n + 1)³/(2n³) → 1/2, which is less than 1, so the series converges.
10.9 Determining Absolute or Conditional Convergence
- What is the difference between absolute and conditional convergence?
- Absolutely convergent: Σ |aₙ| converges (then Σ aₙ converges too). Conditionally convergent: Σ aₙ converges but Σ |aₙ| diverges, relying on cancellation.
- Classify Σ (−1)ⁿ⁺¹/nᵖ for different p.
- p > 1: absolutely convergent. p > 0 and p ≤ 1: conditionally convergent (alternating series test). p ≤ 0: divergent, because the terms do not approach 0.
- Classify Σ (−1)ⁿ⁺¹/n^(1/3).
- Conditionally convergent: Σ 1/n^(1/3) diverges (p = 1/3 ≤ 1), but the alternating series test shows Σ aₙ converges.
- Classify Σ (−1)ⁿ2ⁿ/n.
- Divergent: the ratio of sizes 2n/(n + 1) → 2 > 1, so the terms do not approach 0.
- If Σ aₙ converges, must Σ |aₙ| converge?
- No. That reverses the theorem. The alternating harmonic series converges but Σ 1/n diverges.
- Can you reorder the terms of a convergent series without changing its sum?
- Yes if it is absolutely convergent. A conditionally convergent series can have its sum changed by reordering.
- How do you handle a series with irregular signs, such as Σ sin n/n²?
- The alternating series test does not apply. Test Σ |aₙ| with comparison: |sin n|/n² ≤ 1/n², which converges, so the series converges absolutely.
10.10 Alternating Series Error Bound
- What is the alternating series error bound?
- If Σ (−1)ⁿ⁺¹aₙ meets the alternating series test conditions, then |S − Sₙ| ≤ aₙ₊₁: the error is at most the size of the first term left out.
- How do you tell whether an alternating partial sum is an over- or underestimate?
- Look at the sign of the first omitted term. Positive: Sₙ is too small. Negative: Sₙ is too big. The sum S lies between Sₙ and Sₙ₊₁.
- For Σ (−1)ⁿ⁺¹/n⁵, give a bound for |S − S₂|.
- The first omitted term is a₃ = 1/3⁵ = 1/243 ≈ 0.00412.
- How many terms of Σ (−1)ⁿ⁺¹/(4n) guarantee an error below 0.01?
- Need 1/(4(n + 1)) less than 0.01, so n + 1 > 25. n + 1 = 26 works, so 25 terms.
- An alternating series meeting the conditions has S₇ = 2.316 and 8th term −0.005. Give an interval for S.
- 2.311 ≤ S ≤ 2.316. The next term is negative, so S₇ is an overestimate.
- What conditions must hold to use the alternating series error bound?
- The series alternates, the term sizes decrease (at least from where you stop) and approach 0. Otherwise use another bound, such as Lagrange.
- What mistakes are common with the alternating series error bound?
- Using aₙ instead of aₙ₊₁; calling the bound the error ("at most"); no comparison with the tolerance; off-by-one counts when the series starts at n = 0; the wrong direction.
10.11 Finding Taylor Polynomial Approximations of Functions
- What is the Taylor polynomial of degree n for f about x = a?
- Pₙ(x) = Σ (k = 0 to n) f⁽ᵏ⁾(a)/k!·(x − a)ᵏ. It matches f and its first n derivatives at a. With a = 0 it is a Maclaurin polynomial.
- Why does each Taylor coefficient divide by n!?
- Differentiating (x − a)ⁿ n times gives n!, so cₙ = f⁽ⁿ⁾(a)/n! makes the nth derivative of Pₙ match f⁽ⁿ⁾(a).
- Find the second-degree Maclaurin polynomial for e^(3x).
- f(0) = 1, f′(0) = 3, f″(0) = 9, so P₂(x) = 1 + 3x + (9/2)x².
- Find the second-degree Taylor polynomial for sin x about x = π/2.
- f(π/2) = 1, f′(π/2) = cos(π/2) = 0, f″(π/2) = −1, so P₂(x) = 1 − ½(x − π/2)².
- If f⁽⁴⁾(1) = 48, what is the coefficient of (x − 1)⁴?
- 48/4! = 48/24 = 2. Working backwards, f⁽ᵏ⁾(a) = k! × (coefficient of (x − a)ᵏ).
- What are the low-degree Maclaurin polynomials for cos x and sin x?
- cos x: P₄(x) = 1 − x²/2 + x⁴/24. sin x: P₃(x) = x − x³/6, which equals P₄ because the x⁴ coefficient is 0.
- What mistakes are common with Taylor polynomials?
- Leaving out the factorial; using xᵏ when the centre is a ≠ 0, or reading (x + 3) as centre 3; evaluating derivatives at the estimate point instead of the centre; trusting estimates far from a.
10.12 Lagrange Error Bound
- What is the Lagrange error bound?
- If |f⁽ⁿ⁺¹⁾(z)| ≤ M for all z between a and x, then |f(x) − Pₙ(x)| ≤ M·|x − a|ⁿ⁺¹/(n + 1)!. It is the next Taylor term with the derivative replaced by its worst case.
- How do you choose M in the Lagrange error bound?
- M is the largest size of f⁽ⁿ⁺¹⁾ between a and x, or any bigger number. Check both ends of the interval. For sin and cos, M = 1; for eᶻ, round up (for example 3).
- P₂ is used about x = a, |f‴| ≤ 4 between a and x, and x − a = 0.3. What is the Lagrange bound?
- 4(0.3)³/3! = 4(0.027)/6 = 0.018.
- P₂(x) = 1 + x + x²/2 estimates e^0.2. Find a Lagrange bound and justify M.
- f‴(z) = eᶻ ≤ e^0.2, which is less than 3 for z in [0, 0.2], so take M = 3. The bound is 3(0.2)³/6 = 0.004.
- Is the Lagrange error bound the actual error?
- No. It is a guarantee: the true value lies in [Pₙ(x) − bound, Pₙ(x) + bound], and the actual error may be smaller.
- What mistakes are common with the Lagrange error bound?
- Using f⁽ⁿ⁾ or n! instead of f⁽ⁿ⁺¹⁾ and (n + 1)!; taking M at the centre when the derivative is bigger at the other end; no comparison sentence; using the alternating bound when terms do not alternate.
10.13 Radius and Interval of Convergence of Power Series
- What are the possible convergence sets of a power series Σ aₙ(x − c)ⁿ?
- It converges only at c (R = 0), for all x (R = ∞), or for |x − c| less than R and diverges for |x − c| > R. It always converges at x = c.
- How do you find the interval of convergence of a power series?
- Use the ratio test to get |x − c| less than R, then test each endpoint c ± R separately with another test (the ratio test gives L = 1 there).
- Find the interval of convergence of Σ (n = 1 to ∞) (x − 1)ⁿ/n.
- The ratio test gives |x − 1| less than 1. At x = 2: Σ 1/n diverges. At x = 0: Σ (−1)ⁿ/n converges. The interval is [0, 2).
- What is the radius of convergence of Σ (2x − 5)ⁿ/n²?
- |2x − 5| less than 1 means |x − 5/2| less than 1/2, so R = 1/2. Both endpoints give convergent series (p = 2), so the interval is [2, 3].
- f(x) = Σ (n = 0 to ∞) (x − 2)ⁿ/(n + 1) for |x − 2| less than 1. Find f‴(2).
- f⁽ⁿ⁾(c) = n!·aₙ, and a₃ = 1/4, so f‴(2) = 3! × 1/4 = 3/2.
- Does differentiating or integrating a power series change its interval of convergence?
- The radius stays the same, but endpoints may change. Σ xⁿ/n² converges on [−1, 1]; its derivative converges on [−1, 1).
- What mistakes are common with intervals of convergence?
- Calling the interval length the radius (length is 2R); reading R from |2x − 5| without factoring; centre sign errors ((x + 1)ⁿ is centred at −1); skipping endpoints.
10.14 Finding Taylor or Maclaurin Series for a Function
- What is the Taylor series of f about x = c?
- Σ (n = 0 to ∞) f⁽ⁿ⁾(c)(x − c)ⁿ/n! = f(c) + f′(c)(x − c) + f″(c)(x − c)²/2! + …. With c = 0 it is the Maclaurin series.
- What are the Maclaurin series for eˣ, sin x and cos x?
- eˣ = Σ xⁿ/n! = 1 + x + x²/2! + …; sin x = x − x³/3! + x⁵/5! − … (odd powers); cos x = 1 − x²/2! + x⁴/4! − … (even powers). All converge for every x.
- The Taylor series for f about x = 2 has (x − 2)⁴ coefficient 1/3. Find f⁽⁴⁾(2).
- f⁽⁴⁾(2) = 4! × 1/3 = 8.
- What exactly is 1 − 1/3! + 1/5! − 1/7! + …?
- sin 1: the Maclaurin series for sin x at x = 1. Similarly Σ 3ⁿ/n! = e³.
- What do the first coefficients of a Taylor series about c tell you about f near c?
- The sign of a₁ = f′(c) gives increasing or decreasing; the sign of a₂ = f″(c)/2 gives concavity. a₁ = −3, a₂ = 2 means decreasing and concave up.
- How do you get the series for e^(−2x) from eˣ?
- Substitute the whole expression: e^(−2x) = Σ (−2x)ⁿ/n!, valid for all x.
- What mistakes are common with Taylor series?
- Leaving out n!; writing xⁿ instead of (x − c)ⁿ; swapping the sin and cos patterns; using 1/(1 − x) = Σ xⁿ when |x| ≥ 1; treating a coefficient as the derivative itself.
10.15 Representing Functions as Power Series
- How do you find a power series for a function such as 2/(5 − x)?
- Rewrite in the form a/(1 − r): 2/(5 − x) = (2/5)·1/(1 − x/5) = Σ 2xⁿ/5ⁿ⁺¹, valid for |x/5| less than 1, so −5 to 5 (geometric endpoints diverge).
- Write the series for 1/(1 − x³) and its interval.
- Substitute x³ for x in 1/(1 − x): 1 + x³ + x⁶ + … = Σ x^(3n), valid for |x³| less than 1, so x between −1 and 1.
- Find the first three nonzero terms of the series for (sin x)/x.
- Divide the series for sin x by x: 1 − x²/6 + x⁴/120.
- How do you get the series for ln(4 + x)?
- Integrate the series for 1/(4 + x) = Σ (−1)ⁿxⁿ/4ⁿ⁺¹ term by term and add the constant ln 4: ln(4 + x) = ln 4 + Σ (−1)ⁿxⁿ⁺¹/((n + 1)4ⁿ⁺¹), valid for x greater than −4 and up to 4 (x = 4 is included).
- Find the coefficient of x⁵ in the series for xe^(2x).
- It is the x⁴ coefficient of e^(2x): 2⁴/4! = 16/24 = 2/3.
- Use x/(1 − x)² = Σ nxⁿ to find Σ (n = 1 to ∞) n/3ⁿ.
- Put x = 1/3: (1/3)/(2/3)² = (1/3)/(4/9) = 3/4.
- What can you do with a power series inside its interval of convergence?
- Differentiate and integrate term by term. Differentiating 1/(1 − x) gives 1/(1 − x)² = Σ (n = 1 to ∞) nxⁿ⁻¹. The radius is kept; endpoints must be retested.
- What mistakes are common when building series from known ones?
- No 1 in front (rewrite 5/(3 + x) as (5/3)·1/(1 + x/3)); substituting outside the powers (sin 3x has (3x)³ = 27x³); keeping the old interval; missing the constant after integrating.
Study Unit 10 further
- 10.1 Defining Convergent and Divergent Infinite Series Study guide: 10.1 Defining Convergent and Divergent Infinite SeriesRevision notes: 10.1 Defining Convergent and Divergent Infinite SeriesPractice questions: 10.1 Defining Convergent and Divergent Infinite Series
- 10.2 Working with Geometric Series Study guide: 10.2 Working with Geometric SeriesRevision notes: 10.2 Working with Geometric SeriesPractice questions: 10.2 Working with Geometric Series
- 10.3 The nth Term Test for Divergence Study guide: 10.3 The nth Term Test for DivergenceRevision notes: 10.3 The nth Term Test for DivergencePractice questions: 10.3 The nth Term Test for Divergence
- 10.4 Integral Test for Convergence Study guide: 10.4 Integral Test for ConvergenceRevision notes: 10.4 Integral Test for ConvergencePractice questions: 10.4 Integral Test for Convergence
- 10.5 Harmonic Series and p-Series Study guide: 10.5 Harmonic Series and p-SeriesRevision notes: 10.5 Harmonic Series and p-SeriesPractice questions: 10.5 Harmonic Series and p-Series
- 10.6 Comparison Tests for Convergence Study guide: 10.6 Comparison Tests for ConvergenceRevision notes: 10.6 Comparison Tests for ConvergencePractice questions: 10.6 Comparison Tests for Convergence
- 10.7 Alternating Series Test for Convergence Study guide: 10.7 Alternating Series Test for ConvergenceRevision notes: 10.7 Alternating Series Test for ConvergencePractice questions: 10.7 Alternating Series Test for Convergence
- 10.8 Ratio Test for Convergence Study guide: 10.8 Ratio Test for ConvergenceRevision notes: 10.8 Ratio Test for ConvergencePractice questions: 10.8 Ratio Test for Convergence
- 10.9 Determining Absolute or Conditional Convergence Study guide: 10.9 Determining Absolute or Conditional ConvergenceRevision notes: 10.9 Determining Absolute or Conditional ConvergencePractice questions: 10.9 Determining Absolute or Conditional Convergence
- 10.10 Alternating Series Error Bound Study guide: 10.10 Alternating Series Error BoundRevision notes: 10.10 Alternating Series Error BoundPractice questions: 10.10 Alternating Series Error Bound
- 10.11 Finding Taylor Polynomial Approximations of Functions Study guide: 10.11 Finding Taylor Polynomial Approximations of FunctionsRevision notes: 10.11 Finding Taylor Polynomial Approximations of FunctionsPractice questions: 10.11 Finding Taylor Polynomial Approximations of Functions
- 10.12 Lagrange Error Bound Study guide: 10.12 Lagrange Error BoundRevision notes: 10.12 Lagrange Error BoundPractice questions: 10.12 Lagrange Error Bound
- 10.13 Radius and Interval of Convergence of Power Series Study guide: 10.13 Radius and Interval of Convergence of Power SeriesRevision notes: 10.13 Radius and Interval of Convergence of Power SeriesPractice questions: 10.13 Radius and Interval of Convergence of Power Series
- 10.14 Finding Taylor or Maclaurin Series for a Function Study guide: 10.14 Finding Taylor or Maclaurin Series for a FunctionRevision notes: 10.14 Finding Taylor or Maclaurin Series for a FunctionPractice questions: 10.14 Finding Taylor or Maclaurin Series for a Function
- 10.15 Representing Functions as Power Series Study guide: 10.15 Representing Functions as Power SeriesRevision notes: 10.15 Representing Functions as Power SeriesPractice questions: 10.15 Representing Functions as Power Series
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