Topics
Relations and Functions
Relations and Functions
Inverse Trigonometric Functions
- Basics of Inverse Trigonometric Functions
- Domain, Range & Principal Value
- Graphs of Inverse Trigonometric Functions
- Properties of Inverse Trigonometric Functions
- Overview of Inverse Trigonometric Functions
Algebra
Calculus
Matrices
Determinants
- Determinant of a Matrix
- Expansion of Determinant
- Area of Triangle using Determinant
- Minors and Co-factors
- Adjoint & Inverse of Matrix
- Applications of Determinants and Matrices
- Overview of Determinants
Vectors and Three-dimensional Geometry
Continuity and Differentiability
- Continuous and Discontinuous Functions
- Algebra of Continuous Functions
- Concept of Differentiability
- Derivative of Composite Functions
- Derivative of Implicit Functions
- Derivative of Inverse Function
- Exponential and Logarithmic Functions
- Logarithmic Differentiation
- Derivatives of Functions in Parametric Forms
- Second Order Derivative
- Overview of Continuity and Differentiability
Linear Programming
Applications of Derivatives
Probability
Integrals
- Introduction of Integrals
- Integration as an Inverse Process of Differentiation
- Properties of Indefinite Integral
- Methods of Integration> Integration by Substitution
- Methods of Integration>Integration Using Trigonometric Identities
- Methods of Integration> Integration Using Partial Fraction
- Methods of Integration> Integration by Parts
- Integrals of Some Particular Functions
- Definite Integrals
- Fundamental Theorem of Integral Calculus
- Evaluation of Definite Integrals by Substitution
- Properties of Definite Integrals
- Overview of Integrals
Sets
Applications of the Integrals
Differential Equations
- Basic Concepts of Differential Equations
- Order and Degree of a Differential Equation
- General and Particular Solutions of a Differential Equation
- Methods of Solving Differential Equations> Variable Separable Differential Equations
- Methods of Solving Differential Equations> Homogeneous Differential Equations
- Methods of Solving Differential Equations>Linear Differential Equations
- Overview of Differential Equations
Vectors
- Vector
- Basic Concepts of Vector Algebra
- Direction Ratios, Direction Cosine & Direction Angles
- Types of Vectors in Algebra
- Vector Operations>Addition and Subtraction of Vectors
- Algebra of Vector Addition
- Multiplication in Vector Algebra
- Components of Vector in Algebra
- Vector Joining Two Points in Algebra
- Section Formula in Coordinate Geometry
- Product of Two Vectors
- Product of Two Vectors
- Projection of a Vector on a Line
- Geometrical Interpretation of Scalar
- Scalar Triple Product
- Vector Joining Two Points in Algebra
- Section Formula in Vector Algebra
- Product of Two Vectors
- Position Vector of a Point Dividing a Line Segment in a Given Ratio
- Magnitude and Direction of a Vector
- Vectors Examples and Solutions
- Product of Two Vectors
- Overview of Vectors
Three - Dimensional Geometry
- Introduction of Three Dimensional Geometry
- Direction Cosines and Direction Ratios of a Line
- Relation Between Direction Ratio and Direction Cosines
- Equation of a Line in Space
- Angle Between Two Lines
- Shortest Distance Between Two Lines
- Three - Dimensional Geometry Examples and Solutions
- Equation of a Plane Passing Through Three Non Collinear Points
- Equations of Line in Different Forms
- Coplanarity of Two Lines
- Distance of a Point from a Plane
- Angle Between Line and a Plane
- Angle Between Two Planes
- Vector and Cartesian Equation of a Plane
- Equation of a Plane in Normal Form
- Equation of a Plane Perpendicular to a Given Vector and Passing Through a Given Point
- Plane Passing Through the Intersection of Two Given Planes
- Overview of Three Dimensional Geometry
Linear Programming
Probability
Definition: Product of Vector
If ā and b̄ are any two vectors, then the scalar product of these vectors is
ā · b̄ = |ā| |b̄| cos θ = ab cos θ, where θ is the angle between ā and b̄.
Text
Two important properties of scalar product :
Property: (Distributivity of scalar product over addition)
Let `vec a, vec b` and `vec c` be any three vectors , then `vec a (vec b + vec c) = vec a . vec b + vec a. vec c`
Property: Let `vec a` and `vec b` be any two vectors, and l be any scalar. Then
`(lambda vec a). vec b = (lambda vec a).vec b = lambda (vec a . vec b) = vec a . (lambda vec b)`
If two vectors `vec a` and `vec b` are given in component form as
`a_1 hat i + a_2hat j + a_3 hat k` and `b_1 hat i + b_2hat j + b_3 hat k .`, then their scalar product is given as
`vec a . vec b` = `(a_1hat i + a_2 hat j + a_3 hat k) . (b_1 hat i + b_2 hat j + b_3 hat k)`
= `a_1hat i . (b_1 hat i + b_2 hat j + b_3 hat k) + a_2 hat j . (b_1 hat i + b_2 hat j + b_3 hat k) + a_3 hat k . (b_1 hat i + b_2 hat j + b_3 hat k)`
= `a_1 b_1 (hat i . hat i) + a_1b_2 (hat i . hat j) +a_1b_3 (hat i . hat k)+a_2b_1 (hat j . hat i) + a_2 b_2 (hat j . hat j) + a_2b_3 (hat j . hat k) + a_3b_1 (hat k . hat i) + a_3b_2 (hat k . hat j) + a_3b_3 (hat k . hat k)` (Using the above Properties 1 and 2)
= `a_1b_1 + a_2b_2 + a_3b_3 ` (Using Observation 5)
Thus `vec a . vec b = a_1b_1 + a_2b_2 + a_3b_3`
Notes
Observations:
1) `vec a xx vec b` is a vector.
2) Let `vec a` and `vec b` be two nonzero vectors. Then `vec a xx vec b = vec 0` if and only if `vec a` and `vec b` are parallel (or collinear) to each other, i.e.,
`vec a xx vec b = vec 0 <=> vec a||vec b`
In particular , `vec a xx vec b = vec 0` and `vec a xx (-vec a) = vec 0`, since in the first situation, θ = 0 and in the second one, θ = π, making the value of sinθ to be 0.
3) If , θ = `π/2` then `vec a xx vec b = |vec a||vec b|.`
4) In view of the Observations 2 and 3, for mutually perpendicular unit vectors `hat i , hat j` and` hatk` fig.
`hat i xx hat i = hat j xx hat j = hat k xx hat k = vec 0`
`hat i xx hat j = hat k , hat j xx hat k = hat i , hat k xx hat i = hat j`
5) In terms of vector product, the angle between two vectors `vec a` and `vec b` may be given as
`sin theta = (|vec a xx vec b|)/(|vec a||vec b|)`
6) It is always true that the vector product is not commutative, as `vec a xx vec b = - vec b xx vec a.`
Indeed `vec a xx vec b = |vec a||vec b| sin theta hat n_1`, where `vec b, vec a "and" hat n_1` form a right handed system, i.e., θ is traversed from `vec b "to" vec a` in following fig. 
While , `vec b xx vec a = |vec a||vec b| sin theta hat n_1` , where `vec b, vec a "and" hat n_1` form a right handed system i.e. θ is traversed from `vec b " to" vec a`,
Fig.

Thus, if we assume `vec a` and `vec b` to lie in the plane of the paper, then `hat n` and `hat n_1` both will be perpendicular to the plane of the paper. But, `hat n` being directed above the paper while `hat n_1` directed below the paper i.e. `hat n_1 = -hat n.`
Hence `vec a xx vec b = |vec a||vec b| sin theta hat n`
=` - |vec a||vec b| = sin theta hatn_1`
= -`vec b xx vec a =`
7) In view of the Observations 4 and 6, we have
`hat j xx hat i = - hat k , hat k xx hat j = - hat i` and `hat i xx hat k = -hat j.`
8) If `vec a` and `vec b` represent the adjacent sides of a triangle then its area is given as `1/2 |vec a xx vec b|`.
By definition of the area of a triangle, we have from fig.

Area of triangle ABC = `1/2` AB .CD
But AB = `|vec b|` (as given ), and CD = `|vec a| sin θ. `
Thus, Area of triangle ABC = `1/2 |vec b||vec a| sin theta = 1/2 | vec a xx vec b|`.
9) If `vec a "and" vec b` represent the adjacent sides of a parallelogram, then its area is given by |vec a xx vec b|.From the following Fig. we have

Formula: Angle Between Vectors(Dot)
\[\cos\theta=\frac{\mathbf{a}\cdot\mathbf{b}}{|\mathbf{a}||\mathbf{b}|}\]
Key Points: Product of Vector in Algebra (Dot Product)
Special Cases
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Perpendicular → \[\overline{\mathrm{a}}\cdot\overline{\mathrm{b}}=0\]
-
Parallel → \[\mathbf{\overline{a}}\cdot\mathbf{\overline{b}}=\mathbf{ab}\]
Projection
-
Scalar= \[\frac{\mathbf{a}\cdot\mathbf{b}}{|\mathbf{b}|}\]
-
Vector \[=\frac{\mathbf{a}\cdot\mathbf{b}}{|\mathbf{b}|^{2}}\cdot\mathbf{b}\]
