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Colinear Definition & Formula (For Points P, Q, R)
\overrightarrow{PQ} \parallel k \cdot \overrightarrow{PR}
Colinear: When three points lie on a straight line
Two 3D Vectors are Colinear if
Their Cross Product is a zero vector
Dot Products are useful for
Finding the angle between two vectors
Vector Projection
If dot product of two vectors is 0, vectors are perpendicular (orthogonal)
Dot Product Formulas
Geometric: |\vec{A}| |\vec{B}| \cos(\theta)
Algebraic: A_x B_x + A_y B_y + A_z B_z (Use for angle determination)
Angle between two vectors formula
\cos^{-1} \left( \frac{\vec{A} \cdot \vec{B}}{|\vec{A}| |\vec{B}|} \right) (uses non-geometric = geometric dot product formulas)
Projection Formula
\text{proj}_{\vec{a}}\vec{b} = \frac{\vec{a} \cdot \vec{b}}{\vec{b}\cdot\vec{b}} \vec{b}
Cross Product Formulas
Geometric: |\vec{A}| |\vec{B}| \sin(\theta)
Algebraic: Use the matrix —>i |i_{\text{matrix}}| - j |j_{\text{matrix}}| + k |k_{\text{matrix}}| (see image)
Scalar Triple Product Formula
(\vec{u} \times \vec{v}) \cdot \vec{u} = 0
Area between two functions
\int_{a}^{b} [f(x) - g(x)] \, dx (Where f(x) is on top of g(x))
Washer & Shell Method Formulas
Washer: \pi \int \left[ (R_{\text{outer}}(x))^2 - (R_{\text{inner}}(x))^2 \right] \, dx
Shell: 2\pi \int_{a}^{b} |x-h| \cdot f(x) \, dx
h is axis of rotation
Remember that abs |x-h| = (h-x) usually
When to use Washer / Shell
X-axis (horizontally): Washer in dx, Shell in dy
Y-axis (vertically): Washer in dy, Shell in dx
Length of a curve formula
\int_{a}^{b} \sqrt{1+\left( \frac{dy}{dx} \right)^2} dx
Surface Area Formula
2\pi \int_{a}^{b} f(x) \sqrt{1 + \left( f'(x) \right)^2} dx
Work Done by a Spring (Hooke’s Law)
F = kx
\int_{a}^{b} kx dx = \frac{1}{2}k(b^2 - a^2)
Work Done by Pulling a Cable
\int_{0}^{L} \rho g y A(y) dy
Work Done by Pumping Water Out
\int_{a}^{b} \rho g d(x) A(x) dx
Integral of -\frac{1}{x\sqrt{x² - 1}}
arccsc x + C
Integral of ln(ax)
x ln(ax) - x
Double Angle Identity for \sin(2x)
2\sin(x)\cos(x)
Double Angle Identity for \cos(2x) (Three Answers)
\cos^2(x) - \sin^2(x)
1 - 2\sin^2(x)
2\cos^2(x) - 1
Double Angle Identity for \tan(2x)
\frac{2\tan(x)}{1 - \tan^2(x)}
Power Reduction Half Angle Identity for \sin²(x)
\frac{1}{2} - \frac{\cos(2x)}{2}
Power Reduction Half Angle Identity for \cos²(x)
\frac{1}{2} + \frac{\cos(2x)}{2}
Pythagorean Identity for sin and cos
\sin²x + \cos²x = 1
Pythagorean Identity for tan and sec
1 + \tan²x = \sec²x
Integral of tan(x)
\ln|\sec(x)| \quad \text{or} \quad -\ln|\cos(x)|
Integral of csc(x)
\ln|\csc(x) - \cot(x)| \quad \text{or} \quad -\ln|\csc(x) + \cot(x)|
Integral of sec(x)
\ln|\sec(x) + \tan(x)|
Integral of cot(x)
\ln|\sin(x)|
d/dx ln(f(x))
f’(x) / f(x)
d/dx sin(x)
cos(x)
d/dx cos(x)
-sin(x)
d/dx tan(x)
sec²(x)
d/dx cot(x)
-csc²(x)
d/dx sec(x)
sec(x) tan(x)
d/dx csc(x)
-csc(x) cot(x)
d/dx arcsin(ax)
\frac{a}{\sqrt{1-(ax)²}}
d/dx arccos(ax)
-\frac{a}{\sqrt{1-(ax)²}}
d/dx arctan(ax)
\frac{a}{1+(ax)²}
\int \frac{dx}{x² + a²}
\frac{1}{a} \arctan(\frac{x}{a}) +C
d/dx arccot(ax)
-\frac{a}{1+(ax)²}
d/dx arcsec(ax)
\frac{a}{ax\sqrt{(ax)²-1}}
d/dx arccsc(ax)
-\frac{a}{ax\sqrt{(ax)²-1}}
Steps to solve \int \tan^m (x) \cdot \sec^n (x) dx (4 cases)
m and n are both even:
take out one factor of \sec²(x) and turn it into 1 + \tan²(x)
U-Sub for u=\tan(x), du=\sec²(x)dx
Integrate in terms of u
m (tangent power) odd, n (secant power) even:
Take out one \tan(x) from \tan^m (x)
U-Sub for u=\tan(x), du=\sec²(x)dx
Integrate in terms of u
n (secant power) odd, m (tan power) even:
Take out one \sec(x) from \sec^n (x)
U-Sub for u=\sec(x), du=\sec(x)\tan(x)dx
Integrate in terms of u
Both m and n are odd:
U-Sub for u=\tan(x)
Integrate in terms of u
Trig Sub For \sqrt{a² - x²}
x = a \sin \theta
Trig Sub For \sqrt{a² + x²}
x = a \tan \theta
Trig Sub For \sqrt{x² - a²}
x = a \sec \theta
Partial Fraction Decomposition (PDF) Conditions
Rational Function - Must have polynomial on numerator and denominator
Proper Fraction - Degree of numerator MUST be less than degree of denominator (or else long divide)
Factorable Denominator - Denominator must factor into linear factors with degree of 1
PFD: (x-4)
Linear: \frac{A}{x-4}
PDF: (x+4)²
Repeated Linear: \frac{A}{x+4} + \frac{B}{(x+4)²}
PFD: (x²+4)
Irreducible Quadratic: \frac{Ax + B}{(x²+4)}
PFD: (x²+4)²
Repeating Irreducible Quadratic: \frac{Ax+B}{(x²+4)} + \frac{Bx+C}{(x²+4)²}
Recursive Sequence
Using previous terms, like the Fibonacci sequence
Explicit Sequence
Each new term is given by substituting the value of n into the formula (Ex: a_{n} = \frac{3^{n}}{n!} )
The limit of the sequence (a_{n} \text{ as } n \rightarrow \infty ) determines if the sequence ______ or ______
converges or diverges
Theorems that might help solve the limit of a sequence are the _________ and/or ________
squeeze theorem, limit laws, L'Hopital's rule, and/or factoring out the dominant term
\lim_{x \to 0} \frac{\sin{x}}{x} =
1 (Use L’Hopital’s rule)
\lim_{x \to \infty} \frac{\sin{x}}{x} =
0
\lim_{x \to 0} x \sin(1/x) =
0
\lim_{x \to 0} \sin(f(x)) =
f(x)
\lim_{x \to 0} \frac{1 - \cos(x)}{x²} =
½ (L’Hopital’s Rule)
\lim_{x\to\infty} -e^{-x}
0
Constants/Exponential/Root Laws for Limits
Constant * limit
(limit)^power
root(limit)
L'Hopital's Rule
If the limit is indeterminant \frac{0}{0} \text{ or } \frac{\infty}{\infty}
Then: \lim \frac{f(x)}{g(x)} = \lim \frac{f’(x)}{g’(x)} (repeat until converges)
Factoring Out the Dominant Term (for a_n = \frac{f(x)^n}{g(x)^d} , where n and d are the degrees of the Polynomial)
Divide f(x) and g(x) by x^d, where d is the highest power of x present in the denominator. Then simplify and solve the limit.
Ex: a_n = \frac{x}{\sqrt{4x² + 2}} \rightarrow \frac{\frac{x}{\sqrt{x²}}}{\sqrt{\frac{4x²}{4x²} + \frac{2}{4x²}}} = \frac{1}{2}
Sequence Limit Definition of e
\lim_{n \to \infty} (1 + \frac{r}{n})^{n} = e^{r+n} (when r = 1 answer is e)
Geometric Sequences
Sequence where each term is = previous term * a common constant ratio of r a_{n} = a_{n-1} \cdot r
How can you find the ratio in a geometric sequence?
r = any term / previous term
Convergence vs Divergence in Geometric Sequences/Series:
|r| < 1
|r| > 1
r = 1
r = -1
converges to zero
diverges to infinity
converges to a_1
Diverges due to occilation
Factorial Sequences can often be solved using the Recursive Definition n! = ? and (n+3)! = ?
n! = n \cdot (n-1) \cdot (n-2) \cdot …
(n + 3)! = (n+3)(n+ 2)! …
Monotonicity of sequences
tells us if a sequence is increasing, decreasing, or neither
helps us predict if a sequence is approaching a limit in a predictable way
To check if a sequence is increasing, find the _________ between terms. If _______ the sequence is increasing.
find the difference between terms. If positive the sequence is increasing.
(Ex: Sequence a_n = \frac{n}{n+1} \to a_{n+1} - a_n = \frac{n+1}{n+2} - \frac{n}{n+1} = \frac{1}{(n+1)(n+2)} which is positive, so increasing)
Growth Rates of Sequences Theorem
Logarithms grow slower than Polynomials
\lim_{n \to \infty} \frac{\ln(n)}{n^p} = 0 for any p>0
Polynomials grow slower than Exponentials
\lim_{n \to \infty} \frac{n^p}{a^n} = 0 for p > 0 and a > 1
Exponentials grow slower than Factorials
\lim_{n \to \infty} \frac{a^n}{n!} = 0 for a > 1
Factorials grow slower than n^n
\lim_{n \to \infty} \frac{n!}{n^n} = 0
IMPORTANT: Exponentials grow faster than polynomials.
If a sequence has an upper bound (M) and/or lower bound (m) (m \leq a_n \leq M) for all n, it is _____
bounded
Can be bounded above (never goes above M)
Can be bounded below (never goes below m)
Can be bounded (stays between m and M)
Bounded Monotone Sequence Theorem: If a sequence is bounded and monotonic (always increasing or always decreasing) then the sequence will ______
the sequence will converge
Factorial Sequences will usually ______ unless counterbalanced
diverge unless counterbalanced
Ex: a_n = n! diverges
Ex: a_n = \frac{n!}{n^n} converges to 0 since n^n grows faster than n!
Ex: a_n = \frac{n!}{2^n} diverges since power-tower
For a series (\sum{a_n}) to converge, the sequence must _______ __ _
converge to 0 (\lim_{n \to \infty} a_n = 0)
Infinite Geometric Series sum can be found with this formula:
S_{\infty} = \frac{a_1}{1-r} for |r| < 1
Finite Geometric Serries sum can be found with this formula:
S_n = a_1 \cdot \frac{1-r^n}{1-r}
In Telescoping Series, recognize _______ in terms to solve
repetition since terms will cancel each other out (S_n = \sum_{k=1}^{n} (\frac{1}{k} - \frac{1}{k+2}) \to (1 - \frac{1}{3}) + (\frac{1}{2} - \frac {1}{4}) + (\frac{1}{3} - \frac{1}{5})… = 3/2)
Often can be found using partial fraction decomposition
For \int_1^{\infty} \frac{1}{x^p} dx when is this p-series convergent / divergent?
Convergent for p > 1, divergent otherwise
\sum_{n=1}^{\infty} \frac{1}{n!} =
e = 2.7…
\lim_{x \to \infty} \sin(\frac{1}{f(x)})
f(x)
\lim_{x \to \infty} \tan(\frac{1}{f(x)})
f(x)
\lim_{x \to 0} \frac{\sin{x}}{x} =
1
\lim_{x \to \infty} \frac{\sin{x}}{x} =
0 (Squeeze theorem)
\lim_{x \to 0} x \sin(1/x) =
0
\lim_{x \to 0} \sin(f(x)) =
f(x)
\lim_{x \to 0} \frac{1 - \cos(x)}{x²} =
1/2
\lim_{x\to\infty} -e^{-x}
0
Factoring Out the Dominant Term (for a_n = \frac{f(x)^n}{g(x)^d} , where n and d are the degrees of the Polynomial)
Divide f(x) and g(x) by x^d, where d is the highest power of x present in the denominator. Then simplify and solve the limit.
Ex: a_n = \frac{x}{\sqrt{4x² + 2}} \rightarrow \frac{\frac{x}{\sqrt{x²}}}{\sqrt{\frac{4x²}{4x²} + \frac{2}{4x²}}} = \frac{1}{2}
Infinite Geometric Series sum can be found with this formula:
S_{\infty} = \frac{a_1}{1-r} for |r| < 1
Finite Geometric Serries sum can be found with this formula:
S_n = a_1 \cdot \frac{1-r^n}{1-r}
In Telescoping Series, recognize _______ in terms to solve
repetition since terms will cancel each other out (S_n = \sum_{k=1}^{n} (\frac{1}{k} - \frac{1}{k+2}) \to (1 - \frac{1}{3}) + (\frac{1}{2} - \frac {1}{4}) + (\frac{1}{3} - \frac{1}{5})… = 3/2)
Often can be found using partial fraction decomposition
For \int_0^1 \frac{1}{x^p} when is this p-series convergent / divergent?
Convergent for p < 1, divergent otherwise
\sum_{n=1}^{\infty} \frac{1}{n!} =
e = 2.7…
Divergence Test
For an infinite series \sum a_n, if \lim_{n \to \infty} a_n is anything but 0, the series diverges
Integral Test Conditions
Positive for all f(x) greater than 0 after x \geq 1
Continuous: Does not have jumps or discontinuities after x \geq 1
Decreasing: f’(x) \leq 0 for all x \geq 1
Direct Comparison Test for \sum a_n
Choose b_n that is less than a_n
If \sum_{n=1}^{\infty} b_n converges/diverges, a_n also converges/diverges respectivly
Limit Comparison Test for \sum a_n
Choose any b_n (does not need to be less than a_n)
Ex: \frac{\sqrt{k}}{k+4} \approx \frac{k^{0.5}}{k} = k^{-0.5} so choose that as b_k
Find L=\lim_{n \rightarrow \infty} \frac{a_n}{b_n}
If 0 < L < \infty then \sum a_n or \sum b_n both will share the same behavior