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Additional Mathematics guide for O Levels

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1. Sets

A null or empty set is donated by { } or πœ™. P = Q if they have the same elements. P βŠ‡ Q, Q is subset of P. PβŠ†Q, P is subset of R. PβŠƒQ, Q is proper subset of P. PβŠ‚Q, P is proper subset of Q. PβŠ“Q, Intersection of P and Q. PβŠ”Q, union of P and Q. P’ compliment of P i.e. 𝓔-P

2. Simultaneous Equations

π‘₯ = βˆ’π‘ Β± 𝑏2 βˆ’ 4π‘Žπ‘ 2π‘Ž

3. Logarithms and Indices

Indices

1.

π‘Ž

0

= 1

2.

π‘Ž

βˆ’π‘

=

π‘Ž1𝑝 3.

π‘Ž

1 𝑝

= π‘Ž

𝑝 4.

π‘Ž

𝑝 π‘ž

= π‘Ž

π‘ž 𝑝 5.

π‘Ž

π‘š

Γ— π‘Ž

𝑛

= π‘Ž

π‘š +𝑛 6. π‘Ž π‘š π‘Žπ‘›

= π‘Ž

π‘šβˆ’π‘›

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8.

π‘Ž

𝑛

Γ— 𝑏

𝑛

= π‘Žπ‘

𝑛 9. π‘Ž 𝑛 𝑏𝑛

=

π‘Ž 𝑏 𝑛

Logarithms

1.

π‘Ž

π‘₯

= 𝑦 ≫ π‘₯ = π‘™π‘œπ‘”

π‘Ž

𝑦

2.

π‘™π‘œπ‘”

π‘Ž

1 = 0

3.

π‘™π‘œπ‘”

π‘Ž

π‘Ž = 1

4.

π‘™π‘œπ‘”

π‘Ž

π‘₯𝑦 = π‘™π‘œπ‘”

π‘Ž

π‘₯ + π‘™π‘œπ‘”

π‘Ž

𝑦

5.

π‘™π‘œπ‘”

π‘Ž π‘₯ 𝑦

= π‘™π‘œπ‘”

π‘Ž

π‘₯ βˆ’ π‘™π‘œπ‘”

π‘Ž

𝑦

6.

π‘™π‘œπ‘”

π‘Ž

𝑏 =

π‘™π‘œπ‘”π‘π‘ π‘™π‘œπ‘”π‘π‘Ž 7.

π‘™π‘œπ‘”

π‘Ž

𝑏 =

1 π‘™π‘œπ‘”π‘π‘Ž 8.

π‘™π‘œπ‘”

π‘Ž

π‘₯

𝑦

= π‘¦π‘™π‘œπ‘”

π‘Ž

π‘₯

9.

π‘™π‘œπ‘”

π‘Žπ‘

π‘₯ = π‘™π‘œπ‘”

π‘Ž

π‘₯

1 𝑏

10. log

𝑏

π‘₯ = log

𝑏

𝑐log

𝑐

π‘₯ =

loglog𝑐π‘₯

𝑐𝑏

4. Quadratic Expressions and Equations

1. Sketching Graph

y-intercept

Put

x=0

x-intercept

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Turning point Method 1 x-coordinate:

π‘₯ =

βˆ’π‘2π‘Ž y-coordinate:

𝑦 =

4π‘Žπ‘ βˆ’π‘4π‘Ž 2 Method 2 2 2

square. The turning point is

𝑕, π‘˜ .

2. Types of roots of 𝒂𝒙

𝟐

+ 𝒃𝒙 + 𝒄 = 𝟎

𝑏

2

βˆ’ 4π‘Žπ‘ β‰₯ 0

: real roots

𝑏

2

βˆ’ 4π‘Žπ‘ < 0

: no real roots

𝑏

2

βˆ’ 4π‘Žπ‘ > 0

: distinct real roots

𝑏

2

βˆ’ 4π‘Žπ‘ = 0

: equal, coincident or repeated real roots

5. Remainder Factor Theorems

Polynomials

1. ax2 + bx + c is a polynomial of degree 2. 2. ax3 + bx + c is a polynomial of degree 3.

Identities

𝑃 π‘₯ ≑ 𝑄 π‘₯ ⟺ 𝑃 π‘₯ = 𝑄 π‘₯ For all values of x

To find unknowns either substitute values of x, or equate coefficients of like powers of x.

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Remainder

theorem

Factor Theorem

(x-a) is a factor of f(x) then f(a) = 0

Solution of cubic Equation

I. Obtain one factor (x-a) by trail and error method.

II. Divide the cubic equation with a, by synthetic division to find the quadratic equation.

III. Solve the quadratic equation to find remaining two factors of cubic equation.

For example:

I. The equation π‘₯3 + 2π‘₯2 βˆ’ 5π‘₯ βˆ’ 6 = 0 has (x-2) as one factor, found by trail and error method.

II. Synthetic division will be done as follows:

III. The quadratics equation obtained is π‘₯2 + 4π‘₯ + 3 = 0. IV. Equation is solved by quadratic formula, X=-1 and X=-3.

V. Answer would be (x-2)(x+1)(x+3).

6. Matrices

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1. Order of a matrix

Order if matrix is stated as its number of rows x number of columns. For example, the matrix

5 6 2

has order 1 x 3.

2.

Equality

Two matrices are equal if they are of the same order and if their corresponding elements are equal.

3. Addition

To add two matrices, we add their corresponding elements. For example,

6 βˆ’2

3

5

+ βˆ’4 2

4

1

= 2 0

7 6

.

4. Subtraction

To subtract two matrices, we subtract their corresponding elements. For example,

6

3

5

9 14 βˆ’5

βˆ’ 2

7

5

βˆ’4 20 1

= 4

βˆ’4

0

12 βˆ’6 βˆ’6

.

5. Scalar multiplication

To multiply a matrix by k, we multiply each element by k. For example,

π‘˜ 2

4

3 βˆ’1

= 2π‘˜ 4π‘˜

3π‘˜ βˆ’π‘˜

or

3 2

4

= 6

12

.

6.

Matrix multiplication

To multiply two matrices, column of the first matrix must be equal to the row of the second matrix. The product will have order row of first matrix X column of second matrix. For example: 2 4 1 3 2 βˆ’1 3 2 11 5 2 4 7 = π‘Ž 𝑏 𝑐 𝑒 𝑓 𝑔 𝑖 𝑗 π‘˜ 𝑑 𝑕 𝑙 To get the first row of product do following:

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a = (2 x 3) + (4 X 1) = 10 (1st row of first, 1st column of second) b = (2 x 2) + (4 x 5) = 24 (1st row of first, 2st column of second) c = (2 x 1) + (4 x 2) = 10 (1st row of first, 3st column of second) d = (2 x 4) + (4 x 7) = 36 (1st row of first, 4st column of second)

e = (1 x 3) + (3 x 1) = 6 (2st row of first, 1st column of second) f = (1 x 2) + (3 x 5) = 17 (2st row of first, 2st column of second) g = (1 x 1) + (3 x 2) = 7 (2st row of first, 3st column of second) h = (1 x 4) + (3 x 7) = 25 (2st row of first, 4st column of second)

i = (2 x 3) + (-1 x 1) = 5 (3st row of first, 1st column of second) j = (2 x 2) + (-1 x 5) = -1 (3st row of first, 2st column of second) k = (2 x 1) + (-1 x 2) = 0 (3st row of first, 3st column of second) l = (2 x 4) + (-1 x 7) = 1 (3st row of first, 4st column of second)

7.

2 x2 Matrices

a. The matrix 1 00 1 is called identity matrix. When it is multiplied with any matrix X the answer will be X.

b. Determinant of matrix π‘Ž 𝑏𝑐 𝑑 will be = π‘Ž 𝑏𝑐 𝑑 = π‘Žπ‘‘ βˆ’ 𝑏𝑐 c. Adjoint of matrix π‘Ž 𝑏𝑐 𝑑 will be = π‘‘βˆ’π‘ βˆ’π‘π‘Ž

d. Inverse of non-singular matrix (determinant is β‰  0) π‘Ž 𝑏𝑐 𝑑 will be : π‘Žπ‘‘π‘—π‘œπ‘–π‘›π‘‘

π‘‘π‘’π‘‘π‘’π‘Ÿπ‘šπ‘–π‘›π‘Žπ‘›π‘‘ = 1

π‘Žπ‘‘ βˆ’ 𝑏𝑐 π‘‘βˆ’π‘ βˆ’π‘π‘Ž

8. Solving simultaneous linear equations by a matrix method

π‘Žπ‘₯ + 𝑏𝑦 = 𝑕 𝑐π‘₯ + 𝑑𝑦 = π‘˜ ≫≫ π‘Ž 𝑏𝑐 𝑑 π‘₯ 𝑦 = π‘˜π‘• π‘₯ 𝑦 = π‘Ž 𝑏𝑐 𝑑 βˆ’1 Γ— π‘•π‘˜

7. Coordinate Geometry

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Formulas π·π‘–π‘ π‘‘π‘Žπ‘›π‘π‘’ 𝐴𝐡 = π‘₯2 βˆ’ π‘₯1 2 + 𝑦 2 βˆ’ 𝑦1 2 π‘€π‘–π‘‘π‘π‘œπ‘–π‘›π‘‘ π‘œπ‘“ 𝐴𝐡 = π‘₯1 + π‘₯2 2 , 𝑦1 + 𝑦2 2 Parallelogram

If ABCD is a parallelogram then diagonals AC and BD have a common midpoint. Equation of Straight line

To find the equation of a line of best fit, you need the gradient(m) of the line, and the y-intercept(c) of the line. The gradient can be found by taking any two points on the line and using the following formula:

π‘”π‘Ÿπ‘Žπ‘‘π‘–π‘’π‘›π‘‘ = π‘š = 𝑦2 βˆ’ 𝑦1 π‘₯2 βˆ’ π‘₯1

The intercept is the coordinate of the point at which the line crosses the y-axis (it may need to be extended). This will give the following equation:

𝑦 = π‘šπ‘₯ + 𝑐

Where y and x are the variables, m is the gradient and c is the y-intercept.

Equation of parallel lines

Parallel line have equal gradient.

If lines 𝑦 = π‘š1𝑐1 and 𝑦 = π‘š2𝑐2 are parallel then π‘š1 = π‘š2

Equations of perpendicular line

If lines 𝑦 = π‘š1𝑐1 and 𝑦 = π‘š2𝑐2 are perpendicular then π‘š1 = βˆ’π‘š1

2 and π‘š2 = βˆ’

1 π‘š1.

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The line that passes through the midpoint of A and B, and perpendicular bisector of AB.

For any point P on the line, PA = PB

Points of Intersection

The coordinates of point of intersection of a line and a non-parallel line or a curve can be obtained by solving their equations simultaneously.

8. Linear Law

To apply the linear law for a non-linear equation in variables x and y, express the equation in the form

π‘Œ = π‘šπ‘‹ + 𝑐 Where X and Y are expressions in x and/or y.

9. Functions

Page 196

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πœƒ is always acute.

Basics

sin πœƒ =π‘π‘’π‘Ÿπ‘π‘’π‘›π‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿπ‘•π‘¦π‘π‘œπ‘‘π‘’π‘›π‘’π‘ π‘’ cos πœƒ =π‘•π‘¦π‘π‘œπ‘‘π‘’π‘›π‘’π‘ π‘’π‘π‘Žπ‘ π‘’ tan πœƒ = π‘π‘’π‘Ÿπ‘π‘’π‘›π‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿπ‘π‘Žπ‘ π‘’ tan πœƒ = sin πœƒ cos πœƒ cosec πœƒ = sin πœƒ1 sec πœƒ =cos πœƒ1 cot πœƒ =tan πœƒ1

πœƒπ‘–π‘  βˆ’ 𝑣𝑒

πœƒπ‘–π‘  + 𝑣𝑒

Sin

2

All

1

Tan

3

Cos

4

0,360

180

270

90

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Rule 1

sin(90 βˆ’ πœƒ) = cos πœƒ cos 90 βˆ’ πœƒ = sin πœƒ

tan 90 βˆ’ πœƒ = tan πœƒ1 = cot ΞΈ

Rule 2

sin(180 βˆ’ πœƒ) = + sin πœƒ cos 180 βˆ’ πœƒ = βˆ’cos πœƒ tan 180 βˆ’ πœƒ = βˆ’tan πœƒ

Rule 3

sin(180 + πœƒ) = βˆ’sin πœƒ cos 180 + πœƒ = βˆ’cos πœƒ tan 180 + πœƒ = +tan πœƒ

Rule 4

sin(360 βˆ’ πœƒ) = βˆ’ sin πœƒ cos 360 βˆ’ πœƒ = +cos πœƒ tan 360 βˆ’ πœƒ = βˆ’tan πœƒ

Rule 5

sin(βˆ’ πœƒ) = βˆ’sin πœƒ cos βˆ’πœƒ = +cos πœƒ tan βˆ’πœƒ = βˆ’tan πœƒ

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Trigonometric Ratios of Some Special Angles

cos 45 = 1 2 cos 60 = 1 2 cos 30 = 32 sin 45 = 1 2 sin 60 = 3 2 sin 30 = 1 2 tan 45 = 1 tan 60 = 3 tan 30 1

3

11. Simple Trigonometric Identities

Trigonometric Identities

sin2πœƒ + cos2πœƒ = 1 1 + tan2πœƒ = sec2πœƒ 1 + cot2πœƒ = cosec2πœƒ

12. Circular Measure

Relation between Radian and Degree

πœ‹

2 π‘Ÿπ‘Žπ‘‘π‘–π‘Žπ‘›π‘  = 90Β° πœ‹ π‘Ÿπ‘Žπ‘‘π‘–π‘Žπ‘›π‘  = 180Β° 3πœ‹

2 π‘Ÿπ‘Žπ‘‘π‘–π‘Žπ‘›π‘  = 270Β° 2πœ‹ π‘Ÿπ‘Žπ‘‘π‘–π‘Žπ‘›π‘  = 360Β°

𝑠 = π‘Ÿπ›³ where s is arc length, r is radius and Ο΄ is angle of sector is radians 𝐴 = 12π‘Ÿπ‘  =12π‘Ÿ2𝛳 where A is Area of sector

π‘Žπ‘Ÿπ‘’π‘Ž π‘œπ‘“ π‘ π‘’π‘π‘‘π‘œπ‘Ÿ π‘Žπ‘Ÿπ‘’π‘Ž π‘œπ‘“ π‘π‘–π‘Ÿπ‘π‘™π‘’ =

π‘Žπ‘›π‘”π‘™π‘’ π‘œπ‘“ π‘ π‘’π‘π‘‘π‘œπ‘Ÿ π‘Žπ‘›π‘”π‘™π‘’ π‘œπ‘“ π‘π‘–π‘Ÿπ‘π‘™π‘’

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13. Permutation and Combination

𝑛! = 𝑛 𝑛 βˆ’ 1 𝑛 βˆ’ 2 Γ— … Γ— 3 Γ— 2 Γ— 1 0! = 1 𝑛! = 𝑛 𝑛 βˆ’ 1 ! π‘›π‘ƒπ‘Ÿ = 𝑛! 𝑛 βˆ’ π‘Ÿ ! π‘›πΆπ‘Ÿ = 𝑛 βˆ’ π‘Ÿ ! π‘Ÿ!𝑛!

14. Binomial Theorem

π‘Ž + 𝑏

𝑛

= π‘Ž

𝑛

+ 𝐢

1𝑛

π‘Ž

π‘›βˆ’1

𝑏 + 𝐢

2𝑛

π‘Ž

π‘›βˆ’2

𝑏

2

+ 𝐢

3𝑛

π‘Ž

π‘›βˆ’3

𝑏

3

+ β‹― + 𝑏

𝑛 π‘‡π‘Ÿ+1 = π‘›πΆπ‘Ÿπ‘Žπ‘›βˆ’π‘Ÿπ‘π‘Ÿ

15. Differentiation

𝑑 𝑑π‘₯ π‘₯𝑛 = 𝑛π‘₯π‘›βˆ’1 𝑑 𝑑π‘₯ π‘Žπ‘₯π‘š + 𝑏π‘₯𝑛 = π‘Žπ‘šπ‘₯π‘šβˆ’1 + 𝑏𝑛π‘₯π‘›βˆ’1 𝑑 𝑑π‘₯ 𝑒𝑛 = π‘›π‘’π‘›βˆ’1 𝑑𝑒 𝑑π‘₯ 𝑑 𝑑π‘₯ 𝑒𝑣 = 𝑒 𝑑𝑣 𝑑𝑐 + 𝑣 𝑑𝑒 𝑑π‘₯

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𝑑 𝑑π‘₯ 𝑒 𝑣 = 𝑣𝑑𝑒𝑑π‘₯ βˆ’ 𝑒𝑑𝑣𝑑π‘₯ 𝑣2

Where β€˜v’ and β€˜u’ are two functions

Gradient of a curve at any point P(x,y) is 𝑑𝑦𝑑π‘₯ at x

16. Rate of Change

The rate of change of a variable x with respect to time is 𝑑π‘₯𝑑𝑑 𝑑𝑦 𝑑𝑑 = 𝑑𝑦 𝑑π‘₯ Γ— 𝑑π‘₯ 𝑑𝑑 𝛿𝑦 𝛿π‘₯ β‰ˆ 𝑑𝑦 𝑑π‘₯ π‘ƒπ‘’π‘Ÿπ‘π‘’π‘›π‘‘π‘Žπ‘”π‘’ π‘π‘•π‘Žπ‘›π‘”π‘’ 𝑖𝑛 π‘₯ = 𝛿π‘₯ π‘₯ Γ— 100% 𝑓 π‘₯ + 𝛿π‘₯ = 𝑦 + 𝛿𝑦 β‰ˆ 𝑦 +𝑑𝑦 𝑑π‘₯𝛿π‘₯

17. Higher Derivative

𝑑𝑦

𝑑π‘₯

= 0

when x =a then point (a, f(a)) is a stationary point. 𝑑𝑦

𝑑π‘₯

= 0

and 𝑑2𝑦

𝑑π‘₯2

β‰  0

when x =a then point (a, f(a)) is a turning point. For a turning point T

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II.

If 𝑑𝑑π‘₯2𝑦2

< 0, then T is a maximum point.

18. Derivative of Trigonometric Functions

𝑑 𝑑π‘₯ sin π‘₯ = cos π‘₯ 𝑑 𝑑π‘₯ cos π‘₯ = βˆ’ sin π‘₯ 𝑑 𝑑π‘₯ tan π‘₯ = sec2π‘₯ 𝑑

𝑑π‘₯ sinn π‘₯ = 𝑛 sinnβˆ’1π‘₯ cos π‘₯ 𝑑

𝑑π‘₯ cosn π‘₯ = βˆ’π‘› cosnβˆ’1π‘₯ sin π‘₯ 𝑑

𝑑π‘₯ tannπ‘₯ = 𝑛 tannβˆ’1 π‘₯ sec2π‘₯

19. Exponential and Logarithmic

Functions

𝑑 𝑑π‘₯ 𝑒𝑒 = 𝑒𝑒 𝑑𝑒 𝑑π‘₯ 𝑑 𝑑π‘₯ π‘’π‘Žπ‘₯ +𝑏 = π‘Žπ‘’π‘Žπ‘₯ +𝑏

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A curve defined by y=ln(ax+b) has a domain ax+b>0 and the curve cuts the x-axis at the point where ax+b=1

𝑑 𝑑π‘₯ 𝑙𝑛 π‘₯ = 1 π‘₯ 𝑑 𝑑π‘₯ ln 𝑒 = 1 𝑒 𝑑𝑒 𝑑π‘₯ 𝑑 𝑑π‘₯ 𝑙𝑛 π‘Žπ‘₯ + 𝑏 = π‘Ž π‘Žπ‘₯ + 𝑏

20. Integration

𝑑𝑦 𝑑π‘₯ = π‘₯ ⟺ 𝑦 = π‘₯ 𝑑π‘₯ 𝑑 𝑑π‘₯ 1 2π‘₯2 + 𝑐 = π‘₯ ⟺ π‘₯ 𝑑π‘₯ = 1 2π‘₯2 + 𝑐 π‘Žπ‘₯𝑛 𝑑π‘₯ = π‘Žπ‘₯𝑛+1 𝑛 + 1 + 𝑐 π‘Žπ‘₯𝑛 + π‘Žπ‘π‘š 𝑑π‘₯ = π‘Žπ‘₯𝑛+1 𝑛 + 1 + 𝑏π‘₯π‘š+1 π‘š + 1 + 𝑐 (π‘Žπ‘₯ + 𝑏)𝑛 𝑑π‘₯ = π‘Žπ‘₯ + 𝑏 𝑛+1 π‘Ž(𝑛 + 1) + 𝑐 𝑑 𝑑π‘₯ 𝐹 π‘₯ = 𝑓(π‘₯) ⟺ 𝑓 π‘₯ 𝑑π‘₯ = 𝐹 𝑏 βˆ’ 𝐹(π‘Ž) 𝑏

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𝑓 π‘₯ 𝑑π‘₯ + 𝑓 π‘₯ 𝑑π‘₯𝑐 𝑏 = 𝑓 π‘₯ 𝑑π‘₯𝑐 π‘Ž 𝑏 π‘Ž 𝑓 π‘₯ 𝑑π‘₯ = βˆ’ 𝑓 π‘₯ 𝑑π‘₯π‘Ž 𝑏 𝑏 π‘Ž 𝑓 π‘₯ 𝑑π‘₯ = 0π‘Ž π‘Ž 𝑑

𝑑π‘₯ sin π‘₯ = cos π‘₯ ⟺ cos π‘₯ 𝑑π‘₯ = sin π‘₯ + 𝑐 𝑑

𝑑π‘₯ βˆ’cos π‘₯ = sin π‘₯ ⟺ sin π‘₯ 𝑑π‘₯ = βˆ’ cos π‘₯ + 𝑐 𝑑

𝑑π‘₯ tan π‘₯ = sec2π‘₯ ⟺ 𝑠𝑒𝑐2π‘₯ 𝑑π‘₯ = π‘‘π‘Žπ‘› π‘₯ + 𝑐

𝑑 𝑑π‘₯

1

π‘Žsin(π‘Žπ‘₯ + 𝑏) = cos(π‘Žπ‘₯ + 𝑏) ⟺ cos(π‘Žπ‘₯ + 𝑏) 𝑑π‘₯ = 1

π‘Žsin(π‘Žπ‘₯ + 𝑏) + 𝑐 𝑑

𝑑π‘₯ βˆ’ 1

π‘Žcos(π‘Žπ‘₯ + 𝑏) = sin(π‘Žπ‘₯ + 𝑏) ⟺ sin(π‘Žπ‘₯ + 𝑏) 𝑑π‘₯ = βˆ’ 1 π‘Žcos(π‘Žπ‘₯ + 𝑏) + 𝑐 𝑑 𝑑π‘₯ 1 π‘Žtan(π‘Žπ‘₯ + 𝑏) = sec2(π‘Žπ‘₯ + 𝑏) ⟺ 𝑠𝑒𝑐2(π‘Žπ‘₯ + 𝑏) 𝑑π‘₯ = 1 π‘Žπ‘‘π‘Žπ‘› (π‘Žπ‘₯ + 𝑏) + 𝑐 𝑑 𝑑π‘₯ 𝑒π‘₯ = 𝑒π‘₯ ⟺ 𝑒π‘₯ 𝑑π‘₯ = 𝑒π‘₯ + 𝑐 𝑑 𝑑π‘₯ βˆ’π‘’βˆ’π‘₯ = π‘’βˆ’π‘₯ ⟺ π‘’βˆ’π‘₯ 𝑑π‘₯ = βˆ’π‘’βˆ’π‘₯ + 𝑐

(17)

21. Applications of Integration

For a region R above the x-axis, enclosed by the curve y=f(x), the x-axis and the lines x=a and x=b, the area R is:

𝐴 = 𝑓 π‘₯ 𝑑π‘₯

𝑏 π‘Ž

For a region R below the x-axis, enclosed by the curve y=f(x), the x-axis and the lines x=a and x=b, the area R is:

𝐴 = βˆ’π‘“ π‘₯ 𝑑π‘₯𝑏

π‘Ž

For a region R enclosed by the curves y=f(x) and y=g(x) and the lines x=a and x=b, the area R is:

𝐴 = 𝑓 π‘₯ βˆ’ 𝑔(π‘₯) 𝑑π‘₯𝑏

(18)

22. Kinematics

𝑣 = 𝑑𝑠 𝑑𝑑 π‘Ž = 𝑑𝑣 𝑑𝑑 𝑠 = 𝑣 𝑑𝑑 𝑣 = π‘Ž 𝑑𝑑 π΄π‘£π‘’π‘Ÿπ‘”π‘’ 𝑠𝑝𝑒𝑒𝑑 = π‘‘π‘œπ‘‘π‘Žπ‘™ π‘‘π‘–π‘ π‘‘π‘Žπ‘›π‘π‘’ π‘‘π‘Ÿπ‘Žπ‘£π‘’π‘™π‘™π‘’π‘‘ π‘‘π‘œπ‘‘π‘Žπ‘™ π‘‘π‘–π‘šπ‘’ π‘‘π‘Žπ‘˜π‘’π‘› 𝑣 = 𝑒 + π‘Žπ‘‘ 𝑠 = 𝑒𝑑 +1 2π‘Žπ‘‘2 𝑠 =1 2 𝑒 + 𝑣 𝑑 𝑣2 = 𝑒2 + 2π‘Žπ‘ 

23. Vectors

If 𝑂𝑃 = π‘₯𝑦 then 𝑂𝑃 = π‘₯2 + 𝑦2

𝒃 = π‘˜π’‚ and k > 0 a and b are in the same direction 𝒃 = π‘˜π’‚ and k < 0 a and b are opposite in direction

Vectors expressed in terms of two parallel vectors a and b: 𝑝𝒂 + π‘žπ’ƒ = π‘Ÿπ’‚ + 𝑠𝒃 ⟺ p = r and q = s

(19)

If A, B and C are collinear points ⟺ AB=kBC

If P has coordinates (x, y) in a Cartesian plane, then the position vector of P is 𝑂𝑃

= π‘₯π’Š + 𝑦𝒋

where i and j are unit vectors in the positive direction along the x-axis and the y-axis respectively.

Unit vector is the direction of 𝑂𝑃 is 1 π‘₯2 + 𝑦2 π‘₯π’Š + 𝑦𝒋 π‘œπ‘Ÿ 1 π‘₯2 + 𝑦2 π‘₯ 𝑦

24. Relative velocity

References

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