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 > Self-adjusting Property
- Overview of Inverse Trigonometric Functions
- Properties of Inverse Trigonometric Functions > Reciprocal Property
- Properties of Inverse Trigonometric Functions > Negative Argument Property
- Properties of Inverse Trigonometric Functions > Complementary Property
- Properties of Inverse Trigonometric Functions > Conversion Property
- Properties of Inverse Trigonometric Functions > Addition & Subtraction Formula for Inverse Tangent
- Properties of Inverse Trigonometric Functions > Double-angle Property
- Properties of Inverse Trigonometric Functions > Triple-angle Property
- Properties of Inverse Trigonometric Functions > Addition–Subtraction Formula for Inverse Sine & Cosine
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 in Vector
- Types of Vectors in Algebra
- Algebra of Vectors > Addition & Subtraction of Two Vectors
- Multiplication in Vector Algebra
- Components of Vector in Algebra
- Vector Joining Two Points in Algebra
- Section Formula in Vector Algebra
- Product of Two Vectors > Scalar (Dot) Product
- Overview of Vectors
Three - Dimensional Geometry
Linear Programming
Probability
Introduction
Determinants and matrices are useful tools for solving systems of linear equations in two or three variables. This topic explains how a system of equations can be written in matrix form and solved by using the inverse of a matrix when it exists. It also helps in deciding whether a system is consistent or inconsistent.
Introduction
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In coordinate geometry, the area of a triangle can be calculated if the coordinates of its vertices are known.
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Determinants provide a compact and systematic method to calculate this area using a 3 × 3 matrix formed from the coordinates of the vertices.
Consistent and Inconsistent
Consistent Solution: A system is consistent if it has at least one solution.
Inconsistent Solution: A system is inconsistent if it has no solution.
Determinant Form of Area
The same area can be expressed in determinant form using a 3 × 3 determinant:
Area of △ABC = \[ \frac{1}{2} \begin{vmatrix} x_1 & y_1 & 1 \\ x_2 & y_2 & 1 \\ x_3 & y_3 & 1 \end{vmatrix}\]
Properties
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Area is always non-negative:
The value of the determinant may be positive or negative, but the area is taken as its absolute value.
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Sign and $\pm$ in exam problems:
When the area is given (for example, Area = 12 sq. units), the determinant value can be +24 or -24 because the formula uses \[\frac{1}{2}|\det|\].
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Condition for collinearity:
If three points are collinear, the area of the triangle formed by them is zero, so
This is frequently used to check whether three given points lie on the same straight line.
Example 1
Solve the system of equations
Solution: The system of equations can be written in the form
Now,
Note that
Therefore
i.e.
Hence
Key Points: Area of Triangle using Determinant
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Area of triangle using determinant:
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Expanded coordinate form:
\[\text{Area} = \frac{1}{2}|x_1(y_2 - y_3) + x_2(y_3 - y_1) + x_3(y_1 - y_2)|\].
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Area is always taken as positive; use absolute value.
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For collinear points, determinant = 0, so area = 0.
Example 2
The sum of three numbers is 6. If we multiply the third number by 3 and add the second number to it, we get 11. By adding the first and third numbers, we get twice the second number. Represent it algebraically and find the numbers using the matrix method.
Solution: Let the first, second and third numbers be denoted by\[ x, y\] and\[ z \], respectively.
Then, according to the given conditions, we have
This system can be written as
Here
Hence \[ adj \text{ A} = \begin{bmatrix} 7 & -3 & 2 \\ 3 & 0 & -3 \\ -1 & 3 & 1 \end{bmatrix} \]
Thus \[\text{A}^{-1} = \frac{1}{|\text{A}|} adj (\text{A}) = \frac{1}{9} \begin{bmatrix} 7 & -3 & 2 \\ 3 & 0 & -3 \\ -1 & 3 & 1 \end{bmatrix} \]
Since \[ \text{X} = \text{A}^{-1} \text{B} \]
or
Thus \[ x = 1, y = 2, z = 3 \]
