Skip to content

Unit 13 & 14: Additional Topics in Algebra

AP Precalc cheatsheet

Open β†—

Loading…


Goal: Write a proper rational function N(x)D(x)\dfrac{N(x)}{D(x)} (deg⁑N<deg⁑D\deg N < \deg D) as a sum of simpler fractions so it is easier to integrate, sum, or manipulate algebraically. If the fraction is improper (deg⁑Nβ‰₯deg⁑D\deg N \ge \deg D): polynomial long division first:

N(x)D(x)=Q(x)+R(x)D(x),deg⁑R<deg⁑D\frac{N(x)}{D(x)} = Q(x) + \frac{R(x)}{D(x)}, \quad \deg R < \deg D

Factor D(x)D(x) into linear and irreducible quadratic factors over R\mathbb{R}, then match this template:

Factor in D(x)D(x)Partial fraction terms
Distinct (xβˆ’a)(x-a)Axβˆ’a\dfrac{A}{x-a}
Repeated (xβˆ’a)m(x-a)^{m}A1xβˆ’a+A2(xβˆ’a)2+β‹―+Am(xβˆ’a)m\dfrac{A_1}{x-a}+\dfrac{A_2}{(x-a)^{2}}+\cdots+\dfrac{A_m}{(x-a)^{m}}
Irreducible (ax2+bx+c)(ax^2+bx+c)Bx+Cax2+bx+c\dfrac{Bx+C}{ax^2+bx+c}
Repeated quadratic (ax2+bx+c)m(ax^2+bx+c)^{m}Similar chain with numerators Bkx+CkB_k x + C_k

Solve for coefficients: multiply through by the LCD and equate coefficients, or substitute convenient xx values plus compare powers of xx. Note that for all polynomials with a degree of 3 or higher can be factored into the form ax2+bx+cax^2+bx+c for some aa, bb, and cc. To solve out, you can do a partial fraction-style solving for the coefficients.

Example. Decompose

x6+x5+7x4+6x3+2x2+16xβˆ’24x5+8x2.\frac{x^6 + x^5 + 7x^4 + 6x^3 + 2x^2 + 16x - 24}{x^5 + 8x^2}.

Factor the denominator:

x5+8x2=x2(x3+8)=x2(x+2)(x2βˆ’2x+4).x^5 + 8x^2 = x^2(x^3 + 8) = x^2(x + 2)(x^2 - 2x + 4).

The numerator has degree 66 and the denominator degree 55, so the fraction is improper. Do polynomial long division first:

(x6+x5+7x4+6x3+2x2+16xβˆ’24)Γ·(x5+8x2).(x^6 + x^5 + 7x^4 + 6x^3 + 2x^2 + 16x - 24) \div (x^5 + 8x^2).

You obtain

x6+x5+7x4+6x3+2x2+16xβˆ’24x5+8x2=x+1+7x4βˆ’2x3βˆ’6x2+8xβˆ’24x2(x+2)(x2βˆ’2x+4).\begin{aligned} \frac{x^6 + x^5 + 7x^4 + 6x^3 + 2x^2 + 16x - 24}{x^5 + 8x^2} &= x + 1 \\ &\quad {}+ \frac{7x^4 - 2x^3 - 6x^2 + 8x - 24}{x^2(x + 2)(x^2 - 2x + 4)}. \end{aligned}

Doing partial fractions on the remainder:

7x4βˆ’2x3βˆ’6x2+8xβˆ’24x2(x+2)(x2βˆ’2x+4)=Ax+Bx2+Cx+2+Dx+Ex2βˆ’2x+4.\begin{aligned} \frac{7x^4 - 2x^3 - 6x^2 + 8x - 24}{x^2(x + 2)(x^2 - 2x + 4)} &= \frac{A}{x} + \frac{B}{x^2} + \frac{C}{x + 2} \\ &\quad {}+ \frac{Dx + E}{x^2 - 2x + 4}. \end{aligned}

Multiply through by x2(x+2)(x2βˆ’2x+4)x^2(x + 2)(x^2 - 2x + 4):

7x4βˆ’2x3βˆ’6x2+8xβˆ’24=Ax(x+2)(x2βˆ’2x+4)+B(x+2)(x2βˆ’2x+4)+Cx2(x2βˆ’2x+4)+(Dx+E)x2(x+2).\begin{aligned} 7x^4 - 2x^3 - 6x^2 + 8x - 24 &= Ax(x + 2)(x^2 - 2x + 4) + B(x + 2)(x^2 - 2x + 4) \\ &\quad {}+ Cx^2(x^2 - 2x + 4) + (Dx + E)x^2(x + 2). \end{aligned}

Expand and match coefficients (or combine with strategic substitutions). One finds

A=25,B=βˆ’3,C=1,D=72,E=βˆ’2.A = \frac{2}{5},\quad B = -3,\quad C = 1,\quad D = \frac{7}{2},\quad E = -2.

So the full decomposition is

x6+x5+7x4+6x3+2x2+16xβˆ’24x5+8x2=x+1+25xβˆ’3x2+1x+2+72xβˆ’2x2βˆ’2x+4,\frac{x^6 + x^5 + 7x^4 + 6x^3 + 2x^2 + 16x - 24}{x^5 + 8x^2} = x + 1 + \frac{2}{5x} - \frac{3}{x^2} + \frac{1}{x + 2} + \frac{\frac{7}{2}x - 2}{x^2 - 2x + 4},

or equivalently,

x+1+25xβˆ’3x2+1x+2+7xβˆ’42(x2βˆ’2x+4).x + 1 + \frac{2}{5x} - \frac{3}{x^2} + \frac{1}{x + 2} + \frac{7x - 4}{2(x^2 - 2x + 4)}.

Mathematical induction is a great way to prove statements P(n)P(n) for all integers nβ‰₯n0n \ge n_0 when you don’t know how to derive it.

If the step needs several earlier cases, use strong induction: assume P(n0),…,P(k)P(n_0),\ldots,P(k) and deduce P(k+1)P(k+1).

Induction is like proving a row of dominoes will all fall. The base case knocks down the first domino, and the inductive step proves that whenever one domino falls, the next one must fall too.

When writing an induction proof, be very explicit about the statement you are proving. If the statement is

P(n):βˆ‘i=1ni=n(n+1)2,P(n):\quad \sum_{i=1}^{n} i = \frac{n(n+1)}{2},

then the inductive hypothesis is not just β€œassume it works.” It is the exact statement with nn replaced by kk:

βˆ‘i=1ki=k(k+1)2.\sum_{i=1}^{k} i = \frac{k(k+1)}{2}.

Then the goal is the exact statement with nn replaced by k+1k+1:

βˆ‘i=1k+1i=(k+1)(k+2)2.\sum_{i=1}^{k+1} i = \frac{(k+1)(k+2)}{2}.

The usual strategy is to start from the k+1k+1 expression and split off the last term:

βˆ‘i=1k+1i=βˆ‘i=1ki+(k+1).\sum_{i=1}^{k+1} i = \sum_{i=1}^{k} i + (k+1).

Now the induction hypothesis appears, so you can replace βˆ‘i=1ki\sum_{i=1}^{k}i with k(k+1)2\frac{k(k+1)}{2}.

Common induction proof types:

  • Sum formulas: split the k+1k+1 sum into the first kk terms plus the new last term.
  • Divisibility statements: rewrite the k+1k+1 expression so it contains the kk expression as a factor or piece.
  • Product/factorial statements: write the k+1k+1 case in terms of the kk case, often using (k+1)!=(k+1)k!(k+1)!=(k+1)k!.
  • Inequalities: use the inductive hypothesis to get a lower or upper bound, then show that bound is strong enough for the next case.

Example. Prove that for every integer nβ‰₯1n \ge 1,

βˆ‘k=1nk(k!)=(n+1)!βˆ’1.\sum_{k=1}^{n} k(k!) = (n+1)! - 1.

Step 1: Base case. For n=1n = 1,

Left-hand side:

βˆ‘k=11k(k!)=1(1!)=1.\sum_{k=1}^{1} k(k!) = 1(1!) = 1.

Right-hand side:

(1+1)!βˆ’1=2!βˆ’1=2βˆ’1=1.(1+1)! - 1 = 2! - 1 = 2 - 1 = 1.

So the statement holds for n=1n = 1.

Step 2: Inductive hypothesis. Assume that for some nβ‰₯1n \ge 1,

βˆ‘k=1nk(k!)=(n+1)!βˆ’1.\sum_{k=1}^{n} k(k!) = (n+1)! - 1.

We must prove

βˆ‘k=1n+1k(k!)=(n+2)!βˆ’1.\sum_{k=1}^{n+1} k(k!) = (n+2)! - 1.

Step 3: Inductive step. Consider the left-hand side for n+1n+1:

βˆ‘k=1n+1k(k!)=βˆ‘k=1nk(k!)+(n+1)(n+1)!.\sum_{k=1}^{n+1} k(k!) = \sum_{k=1}^{n} k(k!) + (n+1)(n+1)!.

Apply the induction hypothesis:

=(n+1)!βˆ’1+(n+1)(n+1)!.= (n+1)! - 1 + (n+1)(n+1)!.

Factor out (n+1)!(n+1)!:

=(n+1)!(1+(n+1))βˆ’1=(n+1)!(n+2)βˆ’1.= (n+1)!\bigl(1 + (n+1)\bigr) - 1 = (n+1)!(n+2) - 1.

Since (n+2)(n+1)!=(n+2)!(n+2)(n+1)! = (n+2)!,

=(n+2)!βˆ’1,= (n+2)! - 1,

which is exactly what we needed.

Conclusion. Therefore, by mathematical induction,

βˆ‘k=1nk(k!)=(n+1)!βˆ’1forΒ allΒ integersΒ nβ‰₯1.\sum_{k=1}^{n} k(k!) = (n+1)! - 1 \quad \text{for all integers } n \ge 1.

Induction with inequalities follows the same three-step structure, but the algebra feels a little different. Instead of trying to transform one side into exactly the other side, you usually build a chain of inequalities.

For example, suppose the induction hypothesis gives

Akβ‰₯Bk.A_k \ge B_k.

To prove the next case, you may start with Ak+1A_{k+1}, rewrite it in terms of AkA_k, and then use the fact that Akβ‰₯BkA_k\ge B_k:

Ak+1=somethingΒ involvingΒ Akβ‰₯somethingΒ involvingΒ Bk.A_{k+1} = \text{something involving } A_k \ge \text{something involving } B_k.

Then you still have to finish the job by showing the new expression is at least Bk+1B_{k+1}.

Example. Prove that

2nβ‰₯n22^{n}\ge n^{2}

for all integers nβ‰₯4n\ge 4.

Base case: n=4n=4:

24=162^{4}=16

and

42=16.4^{2}=16.

So 24β‰₯422^{4}\ge 4^{2} is true.

Induction hypothesis: Assume that for some integer kβ‰₯4k\ge 4,

2kβ‰₯k2.2^{k}\ge k^{2}.

Inductive step: We need to prove

2k+1β‰₯(k+1)2.2^{k+1}\ge (k+1)^{2}.

Start with the left-hand side:

2k+1=2β‹…2k.2^{k+1}=2\cdot 2^{k}.

Use the induction hypothesis:

2β‹…2kβ‰₯2k2.2\cdot 2^{k}\ge 2k^{2}.

Now we need to show that 2k22k^{2} is at least (k+1)2(k+1)^{2}. Compare them:

2k2βˆ’(k+1)2=2k2βˆ’(k2+2k+1)=k2βˆ’2kβˆ’1.2k^{2}-(k+1)^{2} =2k^{2}-(k^{2}+2k+1) =k^{2}-2k-1.

For kβ‰₯4k\ge 4,

k2βˆ’2kβˆ’1=k(kβˆ’2)βˆ’1β‰₯4(2)βˆ’1=7>0.k^{2}-2k-1 =k(k-2)-1 \ge 4(2)-1 =7>0.

Therefore

2k2β‰₯(k+1)2.2k^{2}\ge (k+1)^{2}.

Combining the inequalities,

2k+1β‰₯2k2β‰₯(k+1)2.2^{k+1}\ge 2k^{2}\ge (k+1)^{2}.

So the statement is true for k+1k+1. By induction, 2nβ‰₯n22^{n}\ge n^{2} for all integers nβ‰₯4n\ge 4.


  • Pascal’s triangle: rows give coefficients for (a+b)n(a+b)^{n} (Pascal’s Triangle starts at Row 0 by convention)
  • Symmetry: (nk)=(nnβˆ’k)\binom{n}{k}=\binom{n}{n-k}
  • Specific term: the term containing arbnβˆ’ra^r b^{n-r} has coefficient (nr)\binom{n}{r} (fix exponents so they sum to nn)

Proof (Sum of Pascal’s Triangle and Binomial Theorem). We will prove that the sum of the nnth row of Pascal’s Triangle is equal to 2n2^{n}. Suppose we have the polynomial (1+x)n(1+x)^{n}. By the binomial theorem,

(1+x)n=(n0)+(n1)x+(n2)x2+β‹―+(nn)xn.(1+x)^{n} = \binom{n}{0} + \binom{n}{1}x + \binom{n}{2}x^{2} + \cdots + \binom{n}{n}x^{n}.

Setting x=1x = 1,

(1+1)n=(n0)+(n1)+(n2)+β‹―+(nn).(1+1)^{n} = \binom{n}{0} + \binom{n}{1} + \binom{n}{2} + \cdots + \binom{n}{n}.

The RHS is the sum of the values of the nnth row of Pascal’s Triangle, and the LHS can be simplified to 2n2^{n}. Thus, the sum of the values in the nnth row of Pascal’s Triangle is equal to 2n2^{n}.


An arithmetic sequence is a sequence where terms differ by a constant difference dd:

an=a1+(nβˆ’1)dequivalentlyan=am+(nβˆ’m)da_n = a_1 + (n-1)d \quad\text{equivalently}\quad a_n = a_m + (n-m)d

A geometric sequence is a sequence where terms differ by a constant ratio rr (r≠0r\ne 0):

an=a1 r nβˆ’1equivalentlyan=am r nβˆ’ma_n = a_1\, r^{\,n-1} \quad\text{equivalently}\quad a_n = a_m\, r^{\,n-m}

A series is a sum of sequence terms; βˆ‘\sum notation packs long sums neatly.

The βˆ‘\sum notation is a compact way to write out series. For a sum f(1)+f(2)+...+f(n)f(1) + f(2) + ... + f(n) for some function f(x)f(x), you can rewrite it as βˆ‘i=1nf(i)\sum_{i=1}^{n} f(i). You can always reindex to whatever is convenient (e.g. in the previous example you can start at i=3i=3 by doing βˆ‘i=3n+2f(iβˆ’2)\sum_{i=3}^{n + 2} f(i - 2)).

A partial sum is defined as Sn=βˆ‘k=1nakS_n = \sum_{k=1}^{n} a_k. Note that a partial sum always assumes that the starting index is 11. The convergence of an infinite series studies lim⁑nβ†’βˆžSn\lim_{n\to\infty} S_n when that limit exists.

βˆ‘i=1nai=n2(a1+an)=n2(2a1+(nβˆ’1)d)\sum_{i=1}^{n} a_i = \frac{n}{2}\bigl(a_1 + a_n\bigr) = \frac{n}{2}\bigl(2a_1 + (n-1)d\bigr)

Proof (finite arithmetic series). Let Sn=βˆ‘i=1naiS_n = \sum_{i=1}^{n} a_i with ai=a1+(iβˆ’1)da_i = a_1 + (i-1)d. Write the sum twice, forwards and backwards:

Sn=a1+a2+β‹―+anβˆ’1+an,S_n = a_1 + a_2 + \cdots + a_{n-1} + a_n, Sn=an+anβˆ’1+β‹―+a2+a1.S_n = a_n + a_{n-1} + \cdots + a_2 + a_1.

Add column-wise. Pair aka_k with an+1βˆ’ka_{n+1-k}: since ak+an+1βˆ’k=(a1+(kβˆ’1)d)+(a1+(nβˆ’k)d)=2a1+(nβˆ’1)d=a1+ana_k + a_{n+1-k} = \bigl(a_1+(k-1)d\bigr)+\bigl(a_1+(n-k)d\bigr) = 2a_1 + (n-1)d = a_1 + a_n, every pair totals a1+ana_1+a_n. There are nn such pairs, so

2Sn=n(a1+an)⟹Sn=n2(a1+an).2S_n = n(a_1+a_n) \quad\Longrightarrow\quad S_n = \frac{n}{2}(a_1+a_n).

Substitute an=a1+(nβˆ’1)da_n = a_1+(n-1)d to get Sn=n2(2a1+(nβˆ’1)d)\displaystyle S_n = \frac{n}{2}\bigl(2a_1+(n-1)d\bigr).

βˆ‘i=0nβˆ’1a1ri=a11βˆ’rn1βˆ’r,βˆ‘i=1na1riβˆ’1=a11βˆ’rn1βˆ’r\sum_{i=0}^{n-1} a_1 r^i = a_1 \frac{1-r^n}{1-r}, \qquad \sum_{i=1}^{n} a_1 r^{i-1} = a_1 \frac{1-r^n}{1-r}

(Index shifts change exponents: always identify first term, ratio, and number of terms)

Proof (finite geometric series, r≠1r \ne 1). Let

S=βˆ‘i=0nβˆ’1a1ri=a1+a1r+a1r2+β‹―+a1rnβˆ’1.S = \sum_{i=0}^{n-1} a_1 r^i = a_1 + a_1 r + a_1 r^2 + \cdots + a_1 r^{n-1}.

Multiply by rr:

rS=a1r+a1r2+β‹―+a1rn.rS = a_1 r + a_1 r^2 + \cdots + a_1 r^n.

Subtract rSrS from SS. Intermediate terms cancel (telescoping):

Sβˆ’rS=a1βˆ’a1rn=a1(1βˆ’rn).S - rS = a_1 - a_1 r^n = a_1(1-r^n).

Factor the left side: (1βˆ’r)S=a1(1βˆ’rn)(1-r)S = a_1(1-r^n). Because rβ‰ 1r \ne 1,

S=a11βˆ’rn1βˆ’r.S = a_1 \frac{1-r^n}{1-r}.

If the series starts at index 11 as βˆ‘i=1na1riβˆ’1\sum_{i=1}^{n} a_1 r^{i-1}, it is the same nn terms and the same sum.

If ∣r∣<1\lvert r\rvert < 1,

βˆ‘i=0∞ari=a1βˆ’r\sum_{i=0}^{\infty} a r^i = \frac{a}{1-r}

If ∣r∣β‰₯1\lvert r\rvert \ge 1, the series does not converge (unless a=0a=0). This formula can be proven by seeing that as nn approaches infinity, rnr^n approaches 00 if ∣r∣<1\lvert r \rvert < 1 and diverges otherwise.


More Sequences & Series (Recursion and Additional Ideas)

Section titled β€œMore Sequences & Series (Recursion and Additional Ideas)”

A sequence {an}\{a_n\} can be explicit (ana_n as a formula in nn) or recursive (ana_n from previous terms).

A rule an=f(anβˆ’1,…)a_n = f(a_{n-1},\ldots) plus initial conditions defines the sequence. Closed form may be found by pattern, generating-function methods, or solving linear recurrences. Learn more in this lesson.

If bk=uk+1βˆ’ukb_k = u_{k+1}-u_k, then βˆ‘k=mnbk=un+1βˆ’um\sum_{k=m}^{n} b_k = u_{n+1}-u_m. Partial fractions often produce telescopes. Telescoping is usually done to cancel all the intermediate terms except for the first and last terms.

Example. Find

S=βˆ‘k=1n1k(k+1).S = \sum_{k=1}^{n} \frac{1}{k(k+1)}.

Start by decomposing 1k(k+1)\frac{1}{k(k+1)} with partial fractions (try this yourself):

1k(k+1)=1kβˆ’1k+1.\frac{1}{k(k+1)} = \frac{1}{k} - \frac{1}{k+1}.

Then SS becomes

S=11βˆ’12+12βˆ’13+β‹―+1nβˆ’1n+1.S = \frac{1}{1} - \frac{1}{2} + \frac{1}{2} - \frac{1}{3} + \cdots + \frac{1}{n} - \frac{1}{n+1}.

Notice that all the terms in the middle will cancel out (e.g. βˆ’12-\frac{1}{2} and +12+\frac{1}{2}), leaving

S=1βˆ’1n+1=nn+1.S = 1 - \frac{1}{n+1} = \frac{n}{n+1}.

Limits describe the long-term behavior of a function. In this section, we only care about what happens as xx becomes very large positive or very large negative.

For example,

lim⁑xβ†’βˆžx2=∞\lim_{x\to\infty}x^2=\infty

means that x2x^2 grows without bound as xx moves farther and farther to the right. Similarly,

lim⁑xβ†’βˆ’βˆžx2=∞,lim⁑xβ†’βˆ’βˆžx3=βˆ’βˆž.\lim_{x\to-\infty}x^2=\infty, \qquad \lim_{x\to-\infty}x^3=-\infty.

For positive integers nn,

lim⁑xβ†’βˆžxn=∞.\lim_{x\to\infty}x^n=\infty.

As xβ†’βˆ’βˆžx\to-\infty,

lim⁑xβ†’βˆ’βˆžxn={∞,nΒ evenβˆ’βˆž,nΒ odd\lim_{x\to-\infty}x^n= \begin{cases} \infty, & n\text{ even}\\ -\infty, & n\text{ odd} \end{cases}

The reciprocal powers approach zero:

lim⁑xβ†’βˆž1xn=0,lim⁑xβ†’βˆ’βˆž1xn=0.\lim_{x\to\infty}\frac{1}{x^n}=0, \qquad \lim_{x\to-\infty}\frac{1}{x^n}=0.

For polynomials, the leading term controls the end behavior. Lower-degree terms become insignificant compared to the highest-degree term.

Example. Evaluate

lim⁑xβ†’βˆž(2x3+3x2βˆ’5x+1).\lim_{x\to\infty}(2x^3+3x^2-5x+1).

Factor out the highest power:

2x3+3x2βˆ’5x+1=x3(2+3xβˆ’5x2+1x3).2x^3+3x^2-5x+1 = x^3\left(2+\frac{3}{x}-\frac{5}{x^2}+\frac{1}{x^3}\right).

As xβ†’βˆžx\to\infty, the parenthesized expression approaches 22, while x3β†’βˆžx^3\to\infty. Therefore

lim⁑xβ†’βˆž(2x3+3x2βˆ’5x+1)=∞.\lim_{x\to\infty}(2x^3+3x^2-5x+1)=\infty.

For rational functions, compare the degrees of the numerator and denominator:

Degree comparisonLimit behavior as xβ†’Β±βˆžx\to\pm\infty
numerator degree < denominator degreelimit is 00
numerator degree = denominator degreelimit is ratio of leading coefficients
numerator degree > denominator degreeno finite horizontal asymptote; use division or leading terms

Example. Evaluate

lim⁑xβ†’βˆž4x2βˆ’3x+72x2+5xβˆ’1.\lim_{x\to\infty}\frac{4x^2-3x+7}{2x^2+5x-1}.

Divide numerator and denominator by x2x^2:

lim⁑xβ†’βˆž4βˆ’3x+7x22+5xβˆ’1x2.\lim_{x\to\infty} \frac{4-\frac{3}{x}+\frac{7}{x^2}}{2+\frac{5}{x}-\frac{1}{x^2}}.

The fractional pieces approach zero, so

lim⁑xβ†’βˆž4x2βˆ’3x+72x2+5xβˆ’1=2.\lim_{x\to\infty}\frac{4x^2-3x+7}{2x^2+5x-1}=2.

The line y=cy=c is a horizontal asymptote of y=f(x)y=f(x) if

lim⁑xβ†’βˆžf(x)=c\lim_{x\to\infty}f(x)=c

or

lim⁑xβ†’βˆ’βˆžf(x)=c.\lim_{x\to-\infty}f(x)=c.

The line y=mx+by=mx+b is an oblique asymptote of y=f(x)y=f(x) if

lim⁑xβ†’βˆž(f(x)βˆ’(mx+b))=0\lim_{x\to\infty}\bigl(f(x)-(mx+b)\bigr)=0

or the same is true as xβ†’βˆ’βˆžx\to-\infty.

For rational functions with numerator degree exactly one more than denominator degree, polynomial long division usually reveals the oblique asymptote.

Example. Find the oblique asymptote of

f(x)=x2βˆ’3x+4xβˆ’2.f(x)=\frac{x^2-3x+4}{x-2}.

Use polynomial division:

x2βˆ’3x+4xβˆ’2=xβˆ’1+2xβˆ’2.\frac{x^2-3x+4}{x-2} = x-1+\frac{2}{x-2}.

Since

lim⁑xβ†’βˆž2xβˆ’2=0\lim_{x\to\infty}\frac{2}{x-2}=0

and also

lim⁑xβ†’βˆ’βˆž2xβˆ’2=0,\lim_{x\to-\infty}\frac{2}{x-2}=0,

the oblique asymptote is

y=xβˆ’1.y=x-1.

For the exponential function,

lim⁑xβ†’βˆžex=∞,lim⁑xβ†’βˆ’βˆžex=0.\lim_{x\to\infty}e^x=\infty, \qquad \lim_{x\to-\infty}e^x=0.

For the natural logarithm,

lim⁑xβ†’βˆžln⁑x=∞.\lim_{x\to\infty}\ln x=\infty.

Some trigonometric limits exist only because another factor forces the expression to settle down. For example,

lim⁑xβ†’βˆžcos⁑xx=0.\lim_{x\to\infty}\frac{\cos x}{x}=0.

This is because

βˆ’1≀cos⁑x≀1,-1\le \cos x\le 1,

so for x>0x>0,

βˆ’1x≀cos⁑xx≀1x.-\frac{1}{x}\le \frac{\cos x}{x}\le \frac{1}{x}.

Both outer expressions approach 00, so the middle expression is squeezed to 00 as well.

However,

lim⁑xβ†’βˆžsin⁑x\lim_{x\to\infty}\sin x

does not exist, since sin⁑x\sin x keeps oscillating forever instead of approaching one value.


  1. Evaluate lim⁑xβ†’βˆž5x3βˆ’2x+1x3+4x2βˆ’7\displaystyle \lim_{x\to\infty}\frac{5x^3-2x+1}{x^3+4x^2-7}.
  1. Find the horizontal asymptote, if it exists, of f(x)=3x2+8xβˆ’1x2βˆ’5\displaystyle f(x)=\frac{3x^2+8x-1}{x^2-5}.
  1. Find the oblique asymptote of g(x)=x2+4xβˆ’1x+2\displaystyle g(x)=\frac{x^2+4x-1}{x+2}.
  1. Prove by induction that βˆ‘k=1nk3=n2(n+1)24\sum_{k=1}^{n} k^3 = \frac{n^2 (n+1)^2}{4} for all integers nβ‰₯1n \ge 1. Extension: This looks like the square of 1+2+...+n=n(n+1)21 + 2 + ... + n = \frac{n(n+1)}{2}! Prove that this is true (you should not use induction here).
  1. Prove by induction that 82nβˆ’32n8^{2n} - 3^{2n} is divisible by 5555 for all integers nβ‰₯1n \ge 1.
  1. Prove by induction that 2nβ‰₯n32^{n}\ge n^{3} for all integers nβ‰₯10n\ge 10.
  1. Expand (3x+2y)5(3x+2y)^{5} using the binomial theorem.
  1. What is the coefficient of the term containing x22x^{22} in (x3βˆ’4x)12\left(x^{3} - \dfrac{4}{\sqrt{x}}\right)^{12}?
  1. Use the binomial theorem to prove that 9nβˆ’19^{n}-1 is divisible by 88 for every integer nβ‰₯1n\ge 1.
  1. A nonconstant arithmetic sequence has first term 55 and common difference dd. Its first, third, and seventh terms form a geometric sequence in that order. Find dd and the three geometric terms.
  1. The sequence 1,x,y,z1,x,y,z is arithmetic. The sequence 1,p,q,z1,p,q,z is geometric. Both sequences are strictly increasing and contain only integers, and zz is as small as possible. What is the value of x+y+z+p+qx+y+z+p+q? (2025 AMC 10A)
  1. Find βˆ‘i=5100(3iβˆ’2)\sum_{i=5}^{100}(3i-2).
  1. Evaluate βˆ‘i=6123β‹…2i\sum_{i=6}^{12} 3\cdot 2^i.
  1. The first three terms of a geometric series are the integers aa, 720720, and bb, where a<720<ba < 720 < b. What is the sum of the digits of the least possible value of bb? (2024 AMC 10A).
  1. Evaluate the finite sum βˆ‘k=0n(nk)3k2nβˆ’k(k+1)\sum_{k=0}^{n}\binom{n}{k}3^{k}2^{n-k}(k+1) in closed form. Hint: k(nk)=n(nβˆ’1kβˆ’1)k\binom{n}{k} = n\binom{n-1}{k-1}
  1. (Bonus, Binet’s Formula)

Binet’s Formula is a famous explicit formula for the Fibonnaci series. Let F0=0F_0=0, F1=1F_1=1, and Fn+2=Fn+1+FnF_{n+2}=F_{n+1}+F_n for nβ‰₯0n\ge 0.

(A)(A) Define a function G(x)=βˆ‘n=0∞FnxnG(x)=\sum_{n=0}^{\infty}F_nx^n. Use the recurrence to show that G(x)=x1βˆ’xβˆ’x2G(x)=\frac{x}{1-x-x^2}. G(x)G(x) is called the generating function of FnF_n. Hint: How can you telescope to cancel out the correct terms?

(B)(B) Decompose G(x)G(x) into partial fractions (Hint: All terms should be linear!).

(C)(C) Set the linear factors found in part (B) to Ξ±\alpha and Ξ²\beta (so your partial fraction looks like A1βˆ’Ξ±x\frac{A}{1 - \alpha x} and B1βˆ’Ξ²x\frac{B}{1 - \beta x}). Use the geometric series formula to prove Binet’s formula:

Fn=Ξ±nβˆ’Ξ²n5.F_n=\frac{\alpha^n-\beta^n}{\sqrt5}.