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SPSU Math 1113: Precalculus Cheat Sheet

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Dr. Adler SPSU Math 1113 Cheat Sheet: Page 1
SPSU Math 1113: Precalculus Cheat Sheet
§5.1 Polynomial Functions and Models (review)
Steps to Analyze Graph of Polynomial
1. y-intercepts: f (0)
2. x-intercept: f(x) = 0
3. f crosses / touches axis @ x-intercepts
4. End behavior: like leading term
5. Find max num turning pts of f: (n – 1)
6. Behavior near zeros for each x-intercept
7. May need few extra pts to draw fcn.
§5.2 Rational Functions
Finding Horizontal/Oblique Asymptotes of R
where degree of numer. = n and degree of denom. = m
1. If n < m, horizontal asymptote: y = 0 (the x-axis).
2. If n = m, line =
is a horizontal asymptote.
3. If n = (m + 1), quotient from long div is ax + b and line y = ax
+ b is oblique asymptote.
4. If n > (m + 1), R has no asymptote.
§7.6 Graphing Sinusoidals
Graphing y = A sin (ωx) & y = A cos (ωx)
|A| = amplitude (stretch/shrink vertically)
|A| < 1 shrink |A| > 1 stretch A < 0 reflect
Distance from min to max = 2A
ω = frequency (stretch/shrink horizontally)
|ω| < 1 stretch |ω| > 1 shrink ω < 0 reflect
period = T =

§7.8 Phase Shift =
y = A sin (ωx – φ) + B
y = A cos (ωx – φ) + B
§8.1 Inverse Sin, Cos, Tan Fcns
y = sin
-1
(x)
Restrict range to [-π/2, π/2]
y = cos
-1
(x)
Restrict range to 0,
y = tan
-1
(x)
Restrict range to −
,
§8.2 Inverse Trig Fcns (con’t)
y = sec
-1
x where |x| ≥ 1 and 0 ≤ y ≤ π,
y ≠
y = csc
-1
x where |x| ≥ 1 and
≤ y ≤
,
y ≠ 0
y = cot
-1
x where -∞ < x < ∞ and 0 < y < π
§8.3 Trig Identities
tan=


cot=


csc=
#

sec=
#

cot=
#
%&
Pythagorean: sin
2
θ + cos
2
θ = 1
tan
2
θ + 1 = sec
2
θ cot
2
θ + 1 = csc
2
θ
§8.4 Sum & Difference Formulae
cos'α±β+=cosα cos β sinα sin β
sin'α±β+=sinα cos β ± cosα sin β
tan'α±β+=
%&'.+±%&'/+
#∓%&'.+%&'/+
§8.5 Double-Angle & Half-Angle Formulae
sin '+= 2sin α cosα cos '+=cos
αsin
α
cos '+= 1 2 sin
α = 2 cos
α−1
tan'+=
%&'.+
#2%&
3
'.+
sin
4
=±5
#2'4+
cos
4
=±5
#6'4+
tan
4
=±5
#2'4+
#6'4+
=
#24
4
=
4
#64
§9.2 Law of Sines
7
=
8
=
9
:
§9.3 Law of Cosines
a
2
= b
2
+ c
2
– 2bc cos A
c
2
= a
2
+ b
2
– 2ab cos C b
2
= a
2
+ c
2
– 2ac cos B
§9.4 Area of Triangle
K =
#
;< sin = =
#
>< sin ? =
#
>; sin @
Heron’s Formula
A =
#
'>+;+<+
K = CA 'A >+'A ;+'A <+
§9.5 Simple & Damped Harmonic Motion
Simple Harmonic Motion
d = a cos(ωt) or d = a sin(ωt)
Damped Harmonic Motion
D'E+=>
F
'
;E
+ '
2G
+
cos
I5J
3
KL
3
EM
where a, b, m constants:
b = damping factor (damping coefficient)
m = mass of oscillating object
|a| = displacement at t = 0

= period if no damping
§10.1 Polar Coordinates
Convert Polar to Rectangular Coordinates
x = r cos θ y = r sin θ
Convert Rectangular to Polar Coordinates
If x = y = 0 then r = 0, θ can have any value
else N=CO
+
=
P
Q
R
Q
S
tan
−1
T
U
tan
−1
T
U
+
2
2
V
Q
X
YN Q
XZ
Q
XX
YN Q
XXX
O=0, >0
O=0, <0
§10.3 Complex Plane & De Moivre’s Theorem
Conjugate of z = x + yi is ]^ = x + yi
Modulus of z: |]|=] ]^ =CO
+
Products & Quotients of Complex >bs (Polar)
z
1
= r
1
(cos θ
1
+ i sin θ
1
) z
2
= r
2
(cos θ
2
+ i sin θ
2
)
]
#
]
=N
#
N
cos'
#
+
++asin'
#
+
+
b
c
b
3
=
d
c
d
3
cos'
#
++asin'
#
+ z
2
≠ 0-
De Moire’s Theorem
z = r (cos θ + i sin θ)
]
e
=N
e
cos 'f++asin'f+ n ≥ 1
ghijklm nhhop n ≥ 2, k = 0, 1, 2, …, (n – 1))
]
q
=N
rcos
e
+
q
e
+ a sin
e
+
q
e
s
where k = 0, 1, 2, …, (n – 1)
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Dr. Adler SPSU Math 1113 Cheat Sheet: Page 1

SPSU Math 1113: Precalculus Cheat Sheet

§5.1 Polynomial Functions and Models (review)

Steps to Analyze Graph of Polynomial

  1. y-intercepts: f (0)
  2. x-intercept: f(x) = 0
  3. f crosses / touches axis @ x-intercepts
  4. End behavior: like leading term
  5. Find max num turning pts of f: (n – 1)
  6. Behavior near zeros for each x-intercept
  7. May need few extra pts to draw fcn.

§5.2 Rational Functions

Finding Horizontal/Oblique Asymptotes of R

where degree of numer. = n and degree of denom. = m

  1. If n < m, horizontal asymptote: y = 0 (the x-axis).
  2. If n = m, line ᡷ = 〨 〩㊉ ㊈

is a horizontal asymptote.

  1. If n = (m + 1), quotient from long div is ax + b and line y = ax
    • b is oblique asymptote.
  2. If n > (m + 1), R has no asymptote.

§7.6 Graphing Sinusoidals

Graphing y = A sin (ωx) & y = A cos (ωx)

|A| = amplitude (stretch/shrink vertically) |A| < 1 shrink |A| > 1 stretch A < 0 reflect Distance from min to max = 2A

ω = frequency (stretch/shrink horizontally) |ω| < 1 stretch |ω| > 1 shrink ω < 0 reflect period = T =䚘⡰ゕ㄄ 䚘

§7.8 Phase Shift =

≖ ≙ y = A sin (ωx – φ) + B y = A cos (ωx – φ) + B

§8.1 Inverse Sin, Cos, Tan Fcns

y = sin-1^ (x) Restrict range to [-π/2, π/2] y = cos-1^ (x) Restrict range to 䙰0, ․䙱 y = tan-1^ (x) Restrict range to 䙲− ゕ⡰ , ゕ⡰䙳

§8.2 Inverse Trig Fcns (con’t)

y = sec-1^ x where |x| ≥ 1 and 0 ≤ y ≤ π, y ≠ ゕ⡰ y = csc-1^ x where |x| ≥ 1 and −

ゕ ⡰ ≤ y ≤^

ゕ ⡰,^ y ≠ 0 y = cot-1^ x where -∞ < x < ∞ and 0 < y < π

§8.3 Trig Identities

tan ‖ =

⤩⤙⤤ ょ ⤓⤥⤩ ょ cot ‖ =^

⤓⤥⤩ ょ ⤩⤙⤤ ょ csc ‖ =

⡩ ⤩⤙⤤ ょ sec ‖ =^

⡩ ⤓⤥⤩ ょ cot ‖ =^

⡩ ⤰⤑⤤ ょ Pythagorean: sin^2 θ + cos^2 θ = 1 tan^2 θ + 1 = sec^2 θ cot^2 θ + 1 = csc^2 θ

§8.4 Sum & Difference Formulae

cos䙦α ± β䙧 = cos α cos β ∓ sin α sin β sin䙦α ± β䙧 = sin α cos β ± cos α sin β tan䙦α ± β䙧 =

⤰⤑⤤䙦⥡䙧±⤰⤑⤤䙦⥢䙧 ⡩∓⤰⤑⤤䙦⥡䙧 ⤰⤑⤤䙦⥢䙧

§8.5 Double-Angle & Half-Angle Formulae

sin 䙦2α䙧 = 2sin α cos α cos 䙦2α䙧 = cos⡰^ α − sin⡰^ α cos 䙦2α䙧 = 1 − 2 sin⡰^ α = 2 cos⡰^ α −

tan䙦2α䙧 =

⡰⤰⤑⤤䙦⥡䙧 ⡩⡹⤰⤑⤤ㄘ^ 䙦⥡䙧

sin 䙲

む ⡰䙳 = ±㒕

⡩⡹⤓⤥⤩䙦む䙧 ⡰ cos 䙲

む ⡰䙳 = ±㒕

⡩⡸⤓⤥⤩䙦む䙧 ⡰

tan 䙲

む ⡰䙳 = ±㒕

⡩⡹⤓⤥⤩䙦む䙧 ⡩⡸⤓⤥⤩䙦む䙧 =^

⡩⡹⤓⤥⤩ む ⤩⤙⤤ む =^

⤩⤙⤤ む ⡩⡸⤓⤥⤩ む

§9.2 Law of Sines

⤩⤙⤤ 。

〨 =^

⤩⤙⤤ 〃

〩 =^

⤩⤙⤤ 〄 〰

§9.3 Law of Cosines a^2 = b^2 + c^2 – 2bc cos A

c^2 = a^2 + b^2 – 2ab cos C b^2 = a^2 + c^2 – 2ac cos B

§9.4 Area of Triangle

K =

⡩ ⡰ ᡔᡕ sin ᠧ^ =^

⡩ ⡰ ᡓᡕ sin ᠨ^ =^

⡩ ⡰ ᡓᡔ sin ᠩ

Heron’s Formula ᡱ =

⡩ ⡰ 䙦ᡓ + ᡔ + ᡕ䙧 K = 㒓ᡱ 䙦ᡱ − ᡓ䙧䙦ᡱ − ᡔ䙧䙦ᡱ − ᡕ䙧

§9.5 Simple & Damped Harmonic Motion

Simple Harmonic Motion

d = a cos(ωt) or d = a sin(ωt)

Damped Harmonic Motion

ᡖ䙦ᡲ䙧 = ᡓᡗ−䙦ᡔᡲ䙧 䙦⁄^ 2ᡥ䙧cos 䙸㒕″⡰^ −

〩ㄘ ⡲぀ㄘ^ ᡲ䙹 where a, b, m constants: b = damping factor (damping coefficient) m = mass of oscillating object |a| = displacement at t = 0 ⡰ゕ ㄄ = period if no damping

§10.1 Polar Coordinates

Convert Polar to Rectangular Coordinates x = r cos θ y = r sin θ Convert Rectangular to Polar Coordinates If x = y = 0 then r = 0, θ can have any value else ᡰ = 㒓ᡶ⡰^ + ᡷ⡰

‖ =

ᝇ tan

−1 (^) 䙲げ け䙳 tan−1^ 䙲げけ䙳 + ․ ․ 2⁄ − ․ 2⁄

V

Q⢓ ᡧᡰ Q⢓⤆

Q⢓⢓ ᡧᡰ Q⢓⢓⢓

§10.3 Complex Plane & De Moivre’s Theorem

Conjugate of z = x + yi is ᡸᆑ = x + yi Modulus of z: |ᡸ| = √ᡸ ᡸᆑ = 㒓ᡶ⡰^ + ᡷ⡰

Products & Quotients of Complex >bs (Polar)

z 1 = r 1 (cos θ 1 + i sin θ 1 ) z 2 = r 2 (cos θ 2 + i sin θ 2 )

ᡸ⡩ᡸ⡰ = ᡰ⡩ᡰ⡰䙰cos䙦‖⡩ + ‖⡰䙧 + ᡡ sin䙦‖⡩ + ‖⡰䙧䙱 こㄗ こㄘ^ =^

ぅㄗ ぅㄘ^ 䙰cos䙦‖⡩^ − ‖⡰䙧 + ᡡ sin䙦‖⡩^ − ‖⡰䙧䙱^ z^2 ≠ 0-

De Moire’s Theorem z = r (cos θ + i sin θ)

ᡸぁ^ = ᡰぁ䙰cos 䙦ᡦ‖䙧 + ᡡ sin䙦ᡦ‖䙧䙱^ n ≥ 1

᝷᠕᠓᠖᠒᠅ᠤ ធ᠕᠕ᠠ᠙ n ≥ 2, k = 0, 1, 2, …, (n – 1))

䙴cos 䙲

ぁ +^

⡰〸ゕ

ぁ 䙳 + ᡡ sin 䙲

ぁ +^

⡰〸ゕ

where k = 0, 1, 2, …, (n – 1)

Page 2: Cheat Sheet SPSU Math 1113 Dr. Adler

§10.4 Vectors

Unit Vectors

unit vectors: i, j, k in direction x-axis, y-axis, z-axis

Add & Subtract Vectors Algebraically

v = (a 1 , b 1 ) = a 1 i + b 1 j w = (a 2 , b 2 ) = a 2 i + b 2 j v + w = (a 1 + a 2 )i + (b 1 + b 2 )j = (a 1 + a 2 , b 1 + b 2 ) v – w = (a 1 – a 2 )i + (b 1 – b 2 )j = (a 1 – a 2 , b 1 – b 2 ) α v = (α a 1 )i + (α b 1 )j = (α a 1 , α b 1 )

||v|| = 㒕ᡓ⡩⡰^ + ᡔ⡩⡰

§10.5 The Dot Product

v = a 1 i + b 1 j w = a 2 i + b 2 j v · w = a 1 a 2 + b 1 b 2

Angle between 2 Vectors cos ‖ =

∃∙∄ ጓ∃ጓጓ∄ጓ

Decompose a Vector into Orthogonal Vectors

Vector projection of v onto w ∄❸ =

∃∙∅ ጓ∅ጓ❹^ ∅

  • Draw v & w with same initial pt ∄❹ = ∄ − ∄❸
  • From terminal pt of v drop ┴ to w
  • This creates rt triangle with v as hypotenuse.
  • Legs of triangle are decomposition

§12.1 Sys of Linear Eqns; Substitution/Elimination

Solve Systems of Equations by Substitution

  1. Solve 1 eqn for 1 variable in terms of others.
  2. Substitute result in remaining eqns.
  3. If have eqn in 1 variable, solve it, otherwise loop back to 1 above.
  4. Solve remaining variables, if any, by substituting known values in remaining eqns.
  5. Check soln in original system of eqns.

Solve Systems of Eqns by Elimination

  1. Interchange any 2 eqns.
  2. Multiply (or divide) each side of eqn by same non-zero constant.
  3. Replace any eqn in system by sum (or difference) of that eqn & nonzero multiple of another eqn in system.

§12.2 Systems of Linear Eqns: Matrices

Row Operations on the Matrix:

  1. Interchange any 2 rows.
  2. Replace a row by nonzero multiple of that row.
  3. Replace a row by sum of that row and a nonzero multiple of some other row.

Matrix Method for Solving System Linear Eqns

  1. Write augmented matrix that represents the system.
  2. Perform row operations that place “1” in locn 1, 1: Perform row operations that place “0” below this.
  3. Perform row operations that place “1” in locn 2, 1, leaving entries to left unchanged. If this is not possible, move 1 cell to right and try again. Perform row operations that place “0” below it & to left.
  4. Repeat step 4, moving one row down and 1 col right. Repeat until bottom row or vertical bar reached.
  5. Now in row echelon form. Analyze resulting system of eqns for solns to original system of eqns.

§12.3 Systems of Linear Eqns: Determinants

V

D = 䚘ᡓ^ ᡔ

䚘 = (ad – bc) ≠ 0

Dx = 䚘ᡱ^ ᡔ ᡲ ᡖ

䚘 Dy = 䚘

Cramer’s Rule: ᡶ =

々㊙ 々

々㌀ 々

etc.

V

D = 㘩

the unique soln of system given by ᡶ =

々㊙ 々 ᡷ =^

々㌀ 々 ᡸ =^

々㌁ 々

Properties of Determinates

Value of D changes sign if 2 rows interchanged. Value of D changes sign if 2 columns interchanged. If all entries in any row are zero, then D = 0 If all entries in any column are zero, then D = 0 If any 2 rows have identical corresponding values then D = 0 If any 2 columns have identical corresponding values then D = 0 If any row multiplied by (nonzero) number k, D is multiplied by k. If any column multiplied by (nonzero) k, D is multiplied by k. If entries of any row multiplied by nonzero k and result added to corresponding entries of another row, value of D is unchanged. If entries of any column multiplied by nonzero k and result added to corresponding entries of another column, D is unchanged.

§12.4 Matrix Algebra

Product of Row x Column:

Product of rectangular matrices: A is m x r matrix, B is r x n matrix.

Aij = Σk Aik Bkj

Finding Inverse of >onsingular Matrix

To find inverse of n x n nonsingular matrix A:

  1. Form the matrix [A | In].
  2. Transform [A | In] into reduced row echelon form.
  3. Reduced row echelon form of [A | In] will contain identity matrix In left of vertical bar; the n x n matrix on right of vertical bar is inverse of A.

Solve System Linear Eqns Using Inverse Matrix

Can write system of eqns as AX = B. If have inverse A-1^ then multiply by it. X = A-1^ B

§12.6 Matrix Algebra

Solving by Substitution

For system of eqns, pts whose coordinates satisfy all eqns are represented by intersections of the graphs of eqns. Can also use substitution & or elimination just like systems of linear eqns. Beware of extraneous solns.