Topics
Relations and Functions
Relations and Functions
Inverse Trigonometric Functions
Algebra
Matrices
- Concept of Matrices
- Types of Matrices
- Equality of Matrices
- Operations on Matrices> Addition and Subtraction of Matrices
- Operations on Matrices>Scalar Multiplication
- Operations on Matrices> Matrix Multiplication
- Transpose of a Matrix
- Symmetric and Skew Symmetric Matrices
- Invertible Matrices
- Overview of Matrices
Calculus
Determinants
Vectors and Three-dimensional Geometry
Continuity and Differentiability
- Continuous and Discontinuous Functions
- Algebra of Continuous Functions
- Concept of Differentiability
- Derivatives 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
- Basic Concepts of Vector Algebra
- Direction Ratios, Direction Cosine & Direction Angles
- Types of Vectors in Algebra
- Algebra of Vector Addition
- Multiplication in Vector Algebra
- Components of Vector in Algebra
- Vector Joining Two Points in Algebra
- Section Formula in Vector Algebra
- Product of Two Vectors
- Overview of Vectors
Three - Dimensional Geometry
Linear Programming
Probability
Introduction
Multiplication of a vector by a scalar is one of the most basic ideas in Vector Algebra. It explains how a vector changes when its magnitude is enlarged, reduced, or reversed, while its line of action remains the same.
Definition: Multiplication of the Vector
If \[\vec{a}\] is a vector and \[\lambda\] is a scalar, then \[\lambda\vec{a}\] is called the multiplication of the vector \[\vec{a}\] by the scalar \[\lambda\]. The resulting quantity is also a vector, and it is collinear with \[\vec{a}\].
Properties
-
\[\lambda\vec{a}\] is always a vector collinear with \[\vec{a}\].
-
If \[\lambda > 0\], the direction remains the same.
-
If \[\lambda < 0\], the direction becomes opposite.
- If \[\lambda = 0\], the result is the zero vector.
-
Magnitude: \[|\lambda\vec{a}| = |\lambda| |\vec{a}|\]
-
Negative of a Vector: When \[\lambda = -1\],
\[-\vec{a} = (-1)\vec{a}\] -
Unit Vector: For a non-zero vector \[\vec{a}\],
\[\hat{a} = \frac{\vec{a}}{|\vec{a}|}\]
Example 1
Question:
Let \[\vec{b} = -\hat{i} + 4\hat{j}\]. Find \[-\frac{1}{2}\vec{b}\]. Comment on the direction.
Solution:
-
Magnitude is multiplied by \[|-\frac{1}{2}| = \frac{1}{2}\], so it becomes half the length.
-
Since the scalar is negative, the direction of \[-\frac{1}{2}\vec{b} \]is opposite to that of \[\vec{b}\].
Key Points: Multiplication in Vector Algebra
-
Multiplication of a vector by a scalar gives a new vector collinear with the original.
-
Magnitude scales by \[|\lambda|\]; direction depends on the sign of \[\lambda\].
-
\[\lambda > 0\]: Same direction; \[\lambda < 0\]: Opposite direction.
-
\[\lambda = 0\]: Result is the null vector.
-
Used extensively in components form: multiply each component by the scalar.
