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
- 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
- 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
Probability
Applications of Derivatives
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
Definition: Addition of Matrices
Let \[A = [a_{ij}]\] and \[B = [b_{ij}]\] be two matrices of the same order \[m \times n\].
Their sum \[C = A + B\] is defined as the matrix \[[c_{ij}]\] of order \[m \times n\], where
Definition: Subtraction of Matrices
Let \[A = [a_{ij}]\] and \[B = [b_{ij}]\] be matrices of the same order \[m \times n\].
Their difference \[D = A - B\] is defined as the matrix \[[d_{ij}]\] where
Equivalently,
Properties
| Property | Rule / Formula |
|---|---|
| Same Order Rule | Matrices can be added or subtracted only if they are of the same order |
| Commutative Property | A + B = B + A |
| Associative Property | A + (B + C) = (A + B) + C |
| Additive Identity | A + 0 = 0 + A = A |
| Additive Inverse | (A + (-A) = (-A) + A = 0 |
| Closure | If A and B are same order, then A + B is also a matrix of the same order. |
Example 1
Given \[\mathrm{A=} \begin{bmatrix} \sqrt{3} & 1 & -1 \\ 2 & 3 & 0 \end{bmatrix}\] and \[\mathbf{B}= \begin{bmatrix} 2 & \sqrt{5} & 1 \\ \\ -2 & 3 & \frac{1}{2} \end{bmatrix}\], find A + B
Solution:
Since A and B are of the same order, 2 × 3. Therefore, the addition of A and B is defined and is given by
\[\mathrm{A}+\mathrm{B}= \begin{bmatrix} 2+\sqrt{3} & 1+\sqrt{5} & 1-1 \\ 2-2 & 3+3 & 0+\frac{1}{2} \end{bmatrix}= \begin{bmatrix} 2+\sqrt{3} & 1+\sqrt{5} & 0 \\ 0 & 6 & \frac{1}{2} \end{bmatrix}\]
Example 2
If \[\mathbf{A}= \begin{bmatrix} 1 & 2 & 3 \\ 2 & 3 & 1 \end{bmatrix}\] and \[\mathbf{B}= \begin{bmatrix} 3 & -1 & 3 \\ -1 & 0 & 2 \end{bmatrix}\], then find 2A – B.
Solution:
We have
2A – B = \[2{ \begin{bmatrix} 1 & 2 & 3 \\ 2 & 3 & 1 \end{bmatrix}}-{ \begin{bmatrix} 3 & -1 & 3 \\ -1 & 0 & 2 \end{bmatrix}}\]
\[= \begin{bmatrix} 2 & 4 & 6 \\ 4 & 6 & 2 \end{bmatrix}+ \begin{bmatrix} -3 & 1 & -3 \\ 1 & 0 & -2 \end{bmatrix}\]
\[= \begin{bmatrix} 2-3 & 4+1 & 6-3 \\ 4+1 & 6+0 & 2-2 \end{bmatrix}= \begin{bmatrix} -1 & 5 & 3 \\ 5 & 6 & 0 \end{bmatrix}\]
CISCE: Class 10
Key Points: Addition and Subtraction of Matrices
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Matrices must be of same order for addition and subtraction.
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\[A + B = [a_{ij} + b_{ij}]\].
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A - B = A + (-B).
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Addition is commutative: A + B = B + A.
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Addition is associative: (A + B) + C = A + (B + C).
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Zero matrix is additive identity: A + O = A.
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Negative of a matrix is additive inverse: \[A + (-A) = O\].
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If order differs \[\rightarrow\] operation not defined.
