Comprehensive Guide to Sequences, Series, and Taylor Expansions

Sequences and Fundamental Limit Rules

  • Definition of a Sequence: A sequence is denoted as {f(n)}n=k\{f(n)\}_{n=k}^{\infty} and represents an ordered list of terms: f(k),f(k+1),,f(n),f(k), f(k+1), \dots, f(n), \dots

  • Basic Limit Rules for Sequences:

    • limnnn=1\lim_{n \rightarrow \infty} \sqrt[n]{n} = 1
    • limnln(n)n=0\lim_{n \rightarrow \infty} \frac{\ln(n)}{n} = 0
    • limn0sin(n)n=1\lim_{n \rightarrow 0} \frac{\sin(n)}{n} = 1
    • limnxn=0\lim_{n \rightarrow \infty} x^n = 0, provided that x<1|x| < 1
    • limn(1+xn)n=ex\lim_{n \rightarrow \infty} (1 + \frac{x}{n})^n = e^x
    • limnx1n=1\lim_{n \rightarrow \infty} x^{\frac{1}{n}} = 1, provided that x>0x > 0
    • limnxnn!=0\lim_{n \rightarrow \infty} \frac{x^n}{n!} = 0

Series Foundations: Geometric and Telescoping Series

  • Geometric Series:

    • General Form: Sn=n=0a(r)nS_n = \sum_{n=0}^{\infty} a(r)^n
    • Conditions for Convergence: A geometric series converges if and only if r<1|r| < 1.
    • Sum to Infinity: S=a1rS_{\infty} = \frac{a}{1 - r}
    • Variables:
      • aa: Representing the first term of the series.
      • rr: Representing the multiplicative factor (common ratio).
  • Telescoping Series:

    • Evaluation Method: Plug in numbers sequentially and evaluate the partial sums to see which terms cancel out.

Standard Tests for Convergence and Divergence

  • nn-th Term Test (Divergence Test):

    • Usage: This should always be the first test attempted.
    • Condition: Evaluate limnan\lim_{n \rightarrow \infty} a_n.
    • Conclusion: If limnan0\lim_{n \rightarrow \infty} a_n \neq 0, then the series an\sum a_n diverges.
    • Critical Limitation: This test can only be used to show a series diverges. It cannot be used to prove convergence.
  • Integral Test:

    • Conditions: The function f(x)f(x) must be continuous, positive, and decreasing.
    • Conclusion: The series n=kf(n)\sum_{n=k}^{\infty} f(n) and the improper integral kf(x)dx\int_{k}^{\infty} f(x) \, dx either both converge or both diverge.
  • pp-Series Test:

    • Form: n=11np\sum_{n=1}^{\infty} \frac{1}{n^p}
    • Conclusion: The series converges if and only if p>1p > 1.
  • Comparison Test:

    • Condition: Assume 0anbn0 \leq a_n \leq b_n.
    • Convergence Conclusion: If the larger series n=kbn\sum_{n=k}^{\infty} b_n converges, then the smaller series n=kan\sum_{n=k}^{\infty} a_n also converges.
    • Divergence Conclusion: If the smaller series n=kan\sum_{n=k}^{\infty} a_n diverges, then the larger series n=kbn\sum_{n=k}^{\infty} b_n also diverges.
    • Strategy: Find the essential behavior of the sequence and use it to bound the sequence from above (to show convergence) or below (to show divergence).

Advanced Convergence Metrics

  • Limit Comparison Test:

    • Conditions: Both an>0a_n > 0 and bn>0b_n > 0. Define L=limnanbnL = \lim_{n \rightarrow \infty} \frac{a_n}{b_n}.
    • Conclusion 1: If L>0L > 0, then both series SaS_a and SbS_b either both converge or both diverge.
    • Conclusion 2: If L=0L = 0 and the comparison series SbS_b converges, then the given series SaS_a converges.
    • Conclusion 3: If L=L = \infty and the comparison series SbS_b diverges, then the given series SaS_a diverges.
    • Definition: ana_n is the given function; bnb_n is the comparison function.
  • Ratio Test:

    • Conditions: an>0a_n > 0. Define ρ=limnan+1an\rho = \lim_{n \rightarrow \infty} |\frac{a_{n+1}}{a_n}|.
    • Conclusion:
      • If ρ<1\rho < 1, the series SnS_n converges.
      • If ρ>1\rho > 1, the series SnS_n diverges.
      • If ρ=1\rho = 1, the test is inconclusive.
    • Best Use Case: Particularly effective for series involving factorials.
  • Root Test:

    • Conditions: an>0a_n > 0. Define ρ=limn(an)1n\rho = \lim_{n \rightarrow \infty} (a_n)^{\frac{1}{n}}.
    • Conclusion:
      • If ρ<1\rho < 1, the series SnS_n converges.
      • If ρ>1\rho > 1, the series SnS_n diverges.
      • If ρ=1\rho = 1, the test is inconclusive.
    • Best Use Case: Effective when the general term ana_n is raised to the power of nn.

Alternating Series and Convergence Classifications

  • Alternating Series Test:

    • Applied to series of the form n=N(1)nan\sum_{n=N}^{\infty} (-1)^n a_n.
    • Criteria for Convergence:
      1. ana_n is positive.
      2. an+1ana_{n+1} \leq a_n (the terms are non-increasing).
      3. limnan=0\lim_{n \rightarrow \infty} a_n = 0 (terms decrease to zero).
    • Important Warning: Be cautious of expressions like sin(nπ)\sin(n\pi) or cos(nπ)\cos(n\pi), as they may also cause a series to alternate.
  • Types of Convergence:

    • Absolute Convergence: Occurs if the series of absolute values Sn|S_n| converges.
    • Conditional Convergence: Occurs if the original series SnS_n converges, but the series of absolute values Sn|S_n| diverges.
    • Absolute Divergence: Occurs if the original series SnS_n diverges.

Calculus of Power Series and Error Estimation

  • Power Series Calculus:

    • Differentiation: ddx(n=0cn(xa)n)=n=0cnn(xa)n1\frac{d}{dx} (\sum_{n=0}^{\infty} c_n (x - a)^n) = \sum_{n=0}^{\infty} c_n n (x - a)^{n-1}
    • Integration: (n=0cn(xa)n)dx=n=0cnn+1(xa)n+1+C\int (\sum_{n=0}^{\infty} c_n (x - a)^n) \, dx = \sum_{n=0}^{\infty} \frac{c_n}{n + 1} (x - a)^{n + 1} + C
    • Constant of Integration: To find CC, evaluate the expression at x=ax = a.
  • Error Analysis (Integral Test Estimation):

    • The error, defined as the difference between the sum to infinity and the partial sum of NN terms, is bounded as follows:
    • N+1f(x)dxn=kf(n)n=kNf(n)Nf(x)dx\int_{N+1}^{\infty} f(x) \, dx \leq |\sum_{n=k}^{\infty} f(n) - \sum_{n=k}^{N} f(n)| \leq \int_{N}^{\infty} f(x) \, dx

Taylor and Maclaurin Series

  • Taylor Series Definition: The Taylor series for a function f(x)f(x) centered at x=ax = a is:

    • Pk(x)=f(a)+f(a)(xa)+f(a)2(xa)2+f(a)3!(xa)3++f(k)(a)k!(xa)kP_k(x) = f(a) + f'(a)(x - a) + \frac{f''(a)}{2}(x - a)^2 + \frac{f'''(a)}{3!}(x - a)^3 + \dots + \frac{f^{(k)}(a)}{k!}(x - a)^k
    • Maclaurin Series: A Taylor series where the center a=0a = 0.
  • Taylor Polynomial Orders:

    • Order 0: f(a)f(a)
    • Order 1: f(a)(xa)f'(a)(x-a)
    • Order 2: f(a)2(xa)2\frac{f''(a)}{2}(x-a)^2
    • Order 3: f(a)3!(xa)3\frac{f'''(a)}{3!}(x-a)^3
  • Error Approximation (Taylor Remainder):

    • ACTUALESTIMATE=ERROR|\text{ACTUAL} - \text{ESTIMATE}| = |\text{ERROR}|
    • f(x)Pn(x)=Rn(x)Mxan+1(n+1)!|f(x) - P_n(x)| = |R_n(x)| \leq \frac{M |x - a|^{n+1}}{(n + 1)!}
    • Determination of MM: M=maxf(n+1)(t)M = \max |f^{(n+1)}(t)| for all tt between xx and aa.

Important Taylor (Maclaurin) Series Expansions

  • Geometric Representative: 11x=k=0xk\frac{1}{1 - x} = \sum_{k=0}^{\infty} x^k, valid for x<1|x| < 1

  • Sine Function: sin(x)=k=0(1)k(2k+1)!x2k+1\sin(x) = \sum_{k=0}^{\infty} \frac{(-1)^k}{(2k + 1)!} x^{2k+1}

  • Exponential Function: ex=k=0xkk!e^x = \sum_{k=0}^{\infty} \frac{x^k}{k!}

  • Cosine Function: cos(x)=k=0(1)k(2k)!x2k\cos(x) = \sum_{k=0}^{\infty} \frac{(-1)^k}{(2k)!} x^{2k}

  • Binomial Series: (1+x)α=k=0(αk)xk(1 + x)^{\alpha} = \sum_{k=0}^{\infty} \binom{\alpha}{k} x^k, valid for x<1|x| < 1

    • The binomial coefficient is defined as: (αk)=αkk!=α(α1)(α2)(α(k1))k!\binom{\alpha}{k} = \frac{\alpha_k}{k!} = \frac{\alpha(\alpha - 1)(\alpha - 2) \dots (\alpha - (k - 1))}{k!}
  • Specific Square Root Form: 11+x=k=0(1)k(2k)!4k(k!)2xk\frac{1}{\sqrt{1 + x}} = \sum_{k=0}^{\infty} \frac{(-1)^k (2k)!}{4^k (k!)^2} x^k

  • Inverse Tangent: tan1(x)=k=0(1)kx2k+12k+1\tan^{-1}(x) = \sum_{k=0}^{\infty} \frac{(-1)^k x^{2k+1}}{2k + 1}, valid for x1|x| \leq 1

  • Natural Logarithm: ln(1+x)=k=1(1)k1xkk\ln(1 + x) = \sum_{k=1}^{\infty} \frac{(-1)^{k-1} x^k}{k}, valid for 1<x1-1 < x \leq 1