Topics
Mathematical Logic
- Statements and Truth Values in Mathematical Logic
- Logical Connectives
- Tautology, Contradiction, and Contingency
- Quantifier, Quantified and Duality Statements in Logic
- Negations of Compound Statements
- Converse, Inverse, and Contrapositive
- Algebra of Statements
- Application of Logic to Switching Circuits
- Overview of Mathematical Logic
Matrices
- Elementry Transformations
- Adjoint and Inverse of a Matrix
- Application of Matrices
- Overview of Matrices
Trigonometric Functions
- Trigonometric Equations and Their Solutions
- Solutions of Triangle>Polar Co-Ordinates
- Solving a Triangle>Solving a Triangle
- Basics of Inverse Trigonometric Functions
- Graphs of Inverse Trigonometric Functions
- Domain, Range & Principal Value
- Properties of Inverse Trigonometric Functions > Self-adjusting Property
- Overview of Trigonometric Functions
- Properties of Inverse Trigonometric Functions > Reciprocal Property
- Properties of Inverse Trigonometric Functions > Complementary 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
- Properties of Inverse Trigonometric Functions > Negative Argument Property
Pair of Straight Lines
Vectors
- Overview of Vectors
- Basic Concepts of Vector Algebra
- Types of Vectors in Algebra
- Algebra of Vectors > Scalar Multiplication
- Algebra of Vectors > Addition & Subtraction of Two Vectors
- Collinearity and Coplanarity of Vectors
- Vectors in Coordinate Geometry
- Components of Vector in Algebra
- Vector Joining Two Points in Algebra
- Section Formula in Vector Algebra
- Product of Two Vectors > Scalar (Dot) Product
- Product of Two Vectors > Vector (Cross) Product
- Direction Ratios, Direction Cosine & Direction Angles in Vector
- Scalar Triple Product
- Vector Triple Product
Line and Plane
Linear Programming
Differentiation
- Introduction & Derivatives of Some Standard Functions
- Derivatives of Composite Functions
- Geometrical Meaning of Derivative
- Derivative of Inverse Trigonometric Function
- Logarithmic Differentiation
- Differentiation of Implicit Functions
- Derivatives of Functions in Parametric Forms
- Higher Order Derivatives
- Overview of Differentiation
Applications of Derivatives
Indefinite Integration
Definite Integration
- Definite Integral as Limit of Sum
- Integral Calculus
- Methods of Evaluation and Properties of Definite Integral
- Overview of Definite Integration
Application of Definite Integration
- Application of Definite Integration
- Area Bounded by Two Curves
- Overview of Application of Definite Integration
Differential Equations
- Basic Concepts of Differential Equations
- Order and Degree of a Differential Equation
- Formation of Differential Equations
- Forms of Solving Differential Equations> Homogeneous Differential Equations
- Forms of Solving Differential Equations>Linear Differential Equations
- Applications of Differential Equation
- Solution of a Differential Equation
- Overview of Differential Equations
Probability Distributions
- Random Variables
- Probability Distribution of Discrete Random Variables
- Probability Distribution of a Continuous Random Variable
- Variance of a Random Variable
- Expected Value and Variance of a Random Variable
- Overview of Probability Distributions
Binomial Distribution
Definition: Linear Differential Equations
A first-order and first-degree differential equation of the form
\[ \boxed{\,\frac{dy}{dx} + Py = Q\,} \]
where \[ P \] and \[ Q \] are constants or functions of \[ x \] only, is called a first-order linear differential equation.
Similarly, if \[ x \] is treated as a function of \[ y, \] it may be written as
\[ \boxed{\,\frac{dx}{dy} + P_{1}x = Q_{1}\,} \]
where \[ P_{1} \] and \[ Q_{1} \] are constants or functions of \[ y \] only.
Method
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Write the given differential equation in standard linear form.
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Identify P and Q(or P1 and Q1).
-
Find the integrating factor:
\[ \text{For } \frac{dy}{dx} + Py = Q, \quad \text{I.F.} = e^{\int P\,dx} \]
\[ \text{For } \frac{dx}{dy} + P_{1}x = Q_{1}, \quad \text{I.F.} = e^{\int P_{1}\,dy} \]
-
Multiply the complete equation by the integrating factor.
-
Convert the left-hand side into the derivative of a product.
-
Integrate both sides.
-
Apply the initial condition, if given, and write the final answer clearly.
Example 1
Solve \[\frac{dy}{dx} - y = \cos x\]
Given equation:
This is already in standard form with P = -1 and Q = cos x.
Integrating factor:
On multiplying throughout by \[e^{-x}\], the equation becomes:
which is equivalent to
Integrating,
or \[\text{I} = - e^{-x} \cos x + \sin x \, e^{-x} - \text{I}\]
or \[2\text{I} = (\sin x - \cos x) \, e^{-x}\]
or \[\text{I} = \frac{(\sin x - \cos x) e^{-x}}{2}\]
Substituting the value of \[\text{I}\] in equation (1), we get
or \[y = \left( \frac{\sin x - \cos x}{2} \right) + \text{C} e^x\]
which is the general solution of the given differential equation.
Maharashtra State Board: Class 12
Key Points: Linear Differential Equations
- Write the equation in the form dy/dx + Py = Q
- Identify P and Q or P1 and Q1
- Find I.F. =
\[ \frac{dy}{dx} + Py = Q \Rightarrow \text{I.F.} = e^{\int P\,dx} \]
\[ \frac{dx}{dy} + P_{1}x = Q_{1} \Rightarrow \text{I.F.} = e^{\int P_{1}\,dy} \]
- Multiply the whole equation by I.F.
- Integrate and get a solution.
