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  1. AP Calculus
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Explain the nth Term Test for Divergence.

If lim⁡n→∞an≠0\lim_{n \to \infty} a_n \neq 0limn→∞​an​=0, then the series ∑an\sum a_n∑an​ diverges.

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Explain the nth Term Test for Divergence.

If lim⁡n→∞an≠0\lim_{n \to \infty} a_n \neq 0limn→∞​an​=0, then the series ∑an\sum a_n∑an​ diverges.

Explain the Limit Comparison Test.

If lim⁡n→∞anbn=c\lim_{n \to \infty} \frac{a_n}{b_n} = climn→∞​bn​an​​=c, where ccc is finite and positive, then ∑an\sum a_n∑an​ and ∑bn\sum b_n∑bn​ either both converge or both diverge.

Explain the Direct Comparison Test.

If 0≤an≤bn0 \leq a_n \leq b_n0≤an​≤bn​ and ∑bn\sum b_n∑bn​ converges, then ∑an\sum a_n∑an​ converges. If an≥bn≥0a_n \geq b_n \geq 0an​≥bn​≥0 and ∑bn\sum b_n∑bn​ diverges, then ∑an\sum a_n∑an​ diverges.

Explain the Integral Test.

If f(x)f(x)f(x) is continuous, positive, and decreasing for x≥1x \geq 1x≥1, then ∑n=1∞f(n)\sum_{n=1}^{\infty} f(n)∑n=1∞​f(n) and ∫1∞f(x)dx\int_{1}^{\infty} f(x) dx∫1∞​f(x)dx either both converge or both diverge.

Explain the Alternating Series Test.

If ana_nan​ is decreasing and lim⁡n→∞an=0\lim_{n \to \infty} a_n = 0limn→∞​an​=0, then the alternating series ∑(−1)nan\sum (-1)^n a_n∑(−1)nan​ converges.

Explain the Ratio Test.

If lim⁡n→∞∣an+1an∣=L\lim_{n \to \infty} |\frac{a_{n+1}}{a_n}| = Llimn→∞​∣an​an+1​​∣=L, then the series converges if L<1L < 1L<1, diverges if L>1L > 1L>1, and is inconclusive if L=1L = 1L=1.

Explain the concept of radius of convergence.

The distance from the center of a power series within which the series converges.

Explain the Alternating Series Error Bound.

The error in approximating an alternating series is less than or equal to the absolute value of the first omitted term.

Explain the Lagrange Error Bound.

The error in approximating a function using a Taylor polynomial is bounded by the Lagrange Error Bound, which depends on the (n+1)th derivative.

What does it mean for a series to converge absolutely?

A series ∑an\sum a_n∑an​ converges absolutely if ∑∣an∣\sum |a_n|∑∣an​∣ converges.

What does it mean for a series to converge conditionally?

A series ∑an\sum a_n∑an​ converges conditionally if ∑an\sum a_n∑an​ converges but ∑∣an∣\sum |a_n|∑∣an​∣ diverges.

Define a sequence.

A function whose domain is the set of natural numbers.

Define a series.

The sum of the terms of a sequence.

What is a convergent sequence/series?

Terms approach a specific value (the limit).

What is a divergent sequence/series?

Terms do not approach a specific value; the sum is infinite.

Define an arithmetic sequence.

Sequence with a constant difference between consecutive terms.

Define a geometric sequence.

Sequence where each term is the previous term multiplied by a constant ratio.

Define a harmonic series.

Series where terms are reciprocals of positive integers.

Define a power series.

Series of the form ∑an(x−c)n\sum a_n(x-c)^n∑an​(x−c)n where ana_nan​ are constants and ccc is a constant.

Define an alternating series.

Series where the terms alternate in sign.

Define a Taylor series.

Representation of a function as an infinite sum of terms, with each term being a polynomial function of a single variable.

Define a Maclaurin series.

A Taylor series centered at 0.

What are the differences between Limit Comparison Test and Direct Comparison Test?

Direct Comparison: Compares magnitude directly. Limit Comparison: Compares the limit of the ratio of terms. Direct comparison requires establishing an inequality, limit comparison does not.

What are the differences between Taylor and Maclaurin series?

Taylor: Expansion around any point c. Maclaurin: Expansion around c=0. Maclaurin is a special case of Taylor.

What are the differences between Alternating Series Error Bound and Lagrange Error Bound?

Alternating Series: Applies only to alternating series, uses the next term. Lagrange: Applies to Taylor polynomials, uses the (n+1)th derivative.

What are the differences between arithmetic and geometric sequences?

Arithmetic: Constant difference between terms. Geometric: Constant ratio between terms. Arithmetic: Linear growth. Geometric: Exponential growth.