Differential Equations: Chapter Notes, Lecture notes of Mathematics

These notes provide a comprehensive and structured coverage of Differential Equations, designed for undergraduate and competitive-exam preparation. The content is written in clear, exam-oriented language with step-by-step explanations and solved examples. Contents include: Introduction to Ordinary Differential Equations (ODEs) Order and degree of differential equations Formation of differential equations First-order differential equations: Variables separable Homogeneous and non-homogeneous equations Exact and non-exact equations Linear differential equations Higher-order linear differential equations with constant coefficients Complementary function (CF) and particular integral (PI) Initial Value Problems (IVP) Boundary Value Problems (BVP) Applications in physics, engineering, and applied mathematics Important formulas, shortcuts, and exam tips Features: Neatly typed PDF notes Well-explained theory + solved problems Suitable for Class 12, undergraduate (BSc / BTech

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Differential Equations: Chapter Notes
October 6, 2025
Contents
1 Differential Equation (DE) 2
2 Formation of ODE 2
3 Solution of ODE 3
4 Bernoulli Equation 3
5 Linear Independence / Dependence 4
6 Fundamental Set of Solutions 4
7 Principle of Superposition 4
8 Existence and Uniqueness Theorem 5
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Differential Equations: Chapter Notes

  • October 6,
  • 1 Differential Equation (DE) Contents
  • 2 Formation of ODE
  • 3 Solution of ODE
  • 4 Bernoulli Equation
  • 5 Linear Independence / Dependence
  • 6 Fundamental Set of Solutions
  • 7 Principle of Superposition
  • 8 Existence and Uniqueness Theorem

1 Differential Equation (DE)

Definition: A differential equation is an equation involving a function y(x) and its derivatives: F (x, y, y′, y′′,... , y(n)) = 0 Properties:

  • Order: highest derivative present
  • Degree: power of highest derivative after simplification
  • Linearity: Linear vs Nonlinear Hidden Concept: Nonlinearity arises from powers, products, or functions like sin(y), ey. MSQs:
  1. y′′^ + 3y′^ + 2y = ex^ Linear? Answer: Linear
  2. y′^ + y^2 = 0 Linear? Answer: Nonlinear
  3. y′′^ + yy′^ = 0 Linear? Answer: Nonlinear
  4. y′^ +

xy = 0 Linear? Answer: Linear

  1. y′′^ + ey^ = 0 Linear? Answer: Nonlinear

2 Formation of ODE

Definition: Process of eliminating arbitrary constants from a family of curves to obtain an ODE. Key Steps:

  1. Start with family: y = f (x, C 1 , C 2 ,... , Cn)
  2. Differentiate n times
  3. Eliminate constants
  4. Resulting equation = ODE Hidden Concept: Order of ODE = number of arbitrary constants. MSQs:
  5. y = Cx + 2 ⇒ ODE? y′^ = y− x^2
  6. y = C 1 ex^ + C 2 e^2 x^ ⇒ y′′^ − 3 y′^ + 2y = 0
  7. x^2 + y^2 = R^2 ⇒ yy′^ + x = 0
  8. y = Ce^2 x^ ⇒ y′^ − 2 y = 0
  9. y =

x^2 + C ⇒ yy′^ − x = 0

5 Linear Independence / Dependence

Definition: - Linearly independent: no non-trivial combination gives zero - Linearly dependent: non-trivial combination gives zero Test: Wronskian W (f 1 ,... , fn) ̸= 0 ⇒ independent Hidden Concept: Zero Wronskian may not always imply dependence (check con- text) MSQs:

  1. f 1 = ex, f 2 = e^2 x^ ⇒ independent
  2. f 1 = x, f 2 = 2x, f 3 = x^2 ⇒ dependent
  3. f 1 = sin x, f 2 = cos x ⇒ independent
  4. f 1 = 1, f 2 = ex, f 3 = e^2 x^ ⇒ independent
  5. f 1 = x, f 2 = x^2 , f 3 = 3x + 2x^2 ⇒ dependent

6 Fundamental Set of Solutions

Definition: A set of linearly independent solutions {y 1 ,... , yn} such that

y = C 1 y 1 + · · · + Cnyn

is the general solution. Hidden Concept: Order = number of fundamental solutions, Wronskian ̸= 0 con- firms independence MSQs:

  1. y′′^ − 3 y′^ + 2y = 0 ⇒ {ex, e^2 x}
  2. y′′′^ − 6 y′′^ + 11y′^ − 6 y = 0 ⇒ {ex, e^2 x, e^3 x}
  3. y′′^ + y = 0 ⇒ {sin x, cos x}
  4. y′′^ − y = 0 ⇒ {ex, e−x}
  5. y′′′^ + y′^ = 0 ⇒ { 1 , sin x, cos x}

7 Principle of Superposition

Definition: If y 1 ,... , yn are solutions of a linear homogeneous ODE, any linear combi- nation is also a solution: y = C 1 y 1 + · · · + Cnyn Hidden Concept: Applies only to homogeneous linear ODEs. For nonhomogeneous: y = yh + yp MSQs:

  1. y 1 = ex, y 2 = e^2 x^ ⇒ y = C 1 ex^ + C 2 e^2 x
  2. y′′^ − 3 y′^ + 2y = 0, y(0) = 1, y′(0) = 0 ⇒ y = 2ex^ − e^2 x
  3. y′′′^ + y′^ = 0 ⇒ y = C 1 + C 2 sin x + C 3 cos x

8 Existence and Uniqueness Theorem

Statement: For n-th order linear homogeneous ODE

y(n)^ + an− 1 (x)y(n−1)^ + · · · + a 0 (x)y = 0

with continuous coefficients ai(x) on interval I, given initial conditions

y(x 0 ) = y 0 ,... , y(n−1)(x 0 ) = yn− 1

there exists a unique solution on I. Hidden Concept: - Linearity + continuity ensures existence and uniqueness - Wron- skian ̸= 0 confirms independent solutions MSQs:

  1. y′′^ − 3 y′^ + 2y = 0, y(0) = 1, y′(0) = 0 ⇒ y = 2ex^ − e^2 x
  2. y′′′^ + y′^ = 0, y(0) = 1, y′(0) = 0, y′′(0) = 2 ⇒ unique solution exists

Wronskian, Properties, and Abel’s Formula

Comprehensive Notes for CSIR–NET, GATE, and TIFR

1. Definition of Wronskian

Let y 1 (x), y 2 (x),... , yn(x) be n functions that are n − 1 times differentiable on an interval I. Then the Wronskian W (y 1 ,... , yn)(x) is defined as:

W (y 1 , y 2 ,... , yn)(x) =

y 1 y 2 · · · yn y′ 1 y′ 2 · · · y n′ .. .

y 1 (n −1) y 2 (n −1) · · · y n(n−1)

It is a determinant involving the functions and their derivatives up to order n − 1. —

2. Fifteen Properties of the Wronskian

  1. If W (y 1 ,... , yn) ≡ 0 and yi are analytic, they are linearly dependent.
  2. If W (y 1 ,... , yn) ̸= 0 on I, the functions are linearly independent.
  3. Interchanging two columns changes the sign of W.
  4. Multiplying a column by a constant c multiplies W by c.
  5. Adding a multiple of one column to another does not change W.
  6. If any two functions are proportional, then W = 0.

Fundamental solutions: { 1 , sin x, cos x}. At x 0 = 0:

W (0) =

So W (x) = −1, constant and nonzero. — Example 3. Verify independence for y 1 = ex, y 2 = e−x.

a 1 (x) = 0 ⇒ W (x) = W (0)

W (0) =

Hence W (x) = −2, constant and nonzero, so the functions are linearly independent. —

5. Hidden Concepts and Key Insights

  • If W (x 0 ) ̸= 0 for some x 0 , then W (x) ̸= 0 for all x in I.
  • Wronskian can vanish at isolated points and still correspond to independent func- tions (non-analytic case).
  • Abel’s formula simplifies Wronskian computation—no need for explicit derivatives.
  • The sign of W (x) is irrelevant for independence—only nonzero value matters.
  • W links algebraic independence of solutions to analytic structure of ODE.

— Summary:

  • Wronskian is determinant of solutions and derivatives.
  • W ̸= 0 ⇒ linearly independent solutions.
  • Abel’s formula gives W (x) = W (x 0 )e−^

R (^) a n− 1 (x)dx.

  • Used to test fundamental sets in linear ODEs.

Question: Let P (x), Q(x) be continuous real–valued functions defined on [− 1 , 1], and let u 1 , u 2 : [− 1 , 1] → R be solutions of the differential equation

d^2 u dx^2

  • P (x)

du dx

  • Q(x)u = 0, x ∈ [− 1 , 1],

satisfying the conditions

u 1 (x) ≥ 0 , u 2 (x) ≤ 0 , and u 1 (0) = u 2 (0) = 0.

Let W (x) denote the Wronskian of u 1 and u 2. Then which of the following statements are true?

(A) u 1 and u 2 are linearly independent.

(B) u 1 and u 2 are linearly dependent.

(C) W (x) = 0 for all x ∈ [− 1 , 1].

(D) W (x) ̸= 0 for some x ∈ [− 1 , 1].

Detailed Solution: The given ODE is u′′^ + P (x)u′^ + Q(x)u = 0,

where P and Q are continuous functions on [− 1 , 1].

The Wronskian of two solutions u 1 , u 2 is defined as:

W (x) =

u 1 (x) u 2 (x) u′ 1 (x) u′ 2 (x)

= u 1 (x)u′ 2 (x) − u′ 1 (x)u 2 (x).

At x = 0, u 1 (0) = u 2 (0) = 0 =⇒ W (0) = u 1 (0)u′ 2 (0) − u′ 1 (0)u 2 (0) = 0.

By the Abel’s formula, the Wronskian of any two solutions of a second–order linear homogeneous ODE satisfies:

W (x) = W (x 0 ) e−^

R (^) x x 0 P^ (t)^ dt.

Choosing x 0 = 0, we have: W (x) = W (0) e−^

R (^) x 0 P^ (t)^ dt.

Since W (0) = 0, it follows that

W (x) ≡ 0 for all x ∈ [− 1 , 1].

The linear dependence criterion states that if the Wronskian of two solutions is iden- tically zero on an interval where the coefficients are continuous, the solutions are linearly dependent on that interval.

⇒ u 1 and u 2 are linearly dependent.

Final Answer:

Correct options: (B) and (C)

u 1 , u 2 are linearly dependent and W (x) = 0 for all x ∈ [− 1 , 1].

Problem. Let P be a continuous function on R. Consider the second order linear ODE

(1 + x^2 ) y′′^ + P (x) y′^ + x y = 0, x ∈ R,

and let y 1 , y 2 be two linearly independent solutions. Let W (x) denote the Wronskian of y 1 , y 2. Suppose W (1) = a, W (2) = b, W (3) = c.

Which of the following statements must hold?

Properties

  1. The set of all solutions of a homogeneous linear ODE with variable coefficients forms a vector space.
  2. The Wronskian of solutions helps determine linear independence.
  3. For continuous coefficients ai(x), existence and uniqueness of solutions are guar- anteed.
  4. The superposition principle holds: if y 1 , y 2 are solutions of the homogeneous part, any linear combination C 1 y 1 + C 2 y 2 is also a solution.
  5. The non-homogeneous solution is of the form:

y = yh + yp,

where yh is the complementary (homogeneous) solution and yp is a particular solu- tion.

Example 1 — First Order Equation

Solve: dy dx

  • P (x)y = Q(x).

Solution: This is linear in y. Integrating factor (I.F.) = e

R (^) P (x) dx . Multiplying through by I.F., we get:

d dx

y e

R P (x) dx

= Q(x)e

R P (x) dx.

Integrating both sides,

ye

R P (x) dx (^) =

Z

Q(x)e

R P (x) dx (^) dx + C.

y = e−^

R P (x) dx

h Z Q(x)e

R P (x) dx (^) dx + C

i .

Example 2 — Second Order Equation with Variable

Coefficients

Solve: x^2 y′′^ − 3 xy′^ + 4y = 0, (x > 0). Step 1: Divide by x^2 : y′′^ −

x

y′^ +

x^2

y = 0.

Step 2: Let y = xm. Then y′^ = mxm−^1 , y′′^ = m(m − 1)xm−^2. Substitute: m(m − 1)xm−^2 −

3 m x

xm−^1 +

x^2

xm^ = 0.

Simplify: [m(m − 1) − 3 m + 4]xm−^2 = 0.

m^2 − 4 m + 4 = 0 ⇒ (m − 2)^2 = 0 ⇒ m = 2. Hence, the two linearly independent solutions are:

y 1 = x^2 , y 2 = x^2 ln x.

y = C 1 x^2 + C 2 x^2 ln x.

Example 3 — Using Reduction of Order

Given one solution y 1 , to find the second solution y 2 of

y′′^ + P (x)y′^ + Q(x)y = 0,

use the formula:

y 2 = y 1

Z

e−^

R (^) P (x) dx

(y 1 )^2

dx.

Summary Table

Type Equation Method 1st order linear y′^ + P (x)y = Q(x) Integrating factor 2nd order homogeneous y′′^ + P (x)y′^ + Q(x)y = 0 Reduction of order 2nd order non-homogeneous y′′^ + P (x)y′^ + Q(x)y = R(x) Variation of parameters Cauchy–Euler type x^2 y′′^ + axy′^ + by = 0 Substitution y = xm

Reduction of Order Method

1. Concept and Need

If one solution y 1 (x) of a second-order linear homogeneous differential equation is known,

y′′^ + P (x)y′^ + Q(x)y = 0,

then the reduction of order method allows us to find a second linearly independent solution y 2 (x), without solving the entire differential equation from scratch. This method “reduces” the second-order ODE to a first-order equation using the substitution y = v(x)y 1 (x). —

3. Example – Find the Second Solution

Solve using reduction of order:

y′′^ − y = 0, given one solution y 1 = ex.

Step 1: Compare with standard form:

y′′^ + P (x)y′^ + Q(x)y = 0 ⇒ P (x) = 0, Q(x) = − 1.

Step 2: Use the formula

y 2 = y 1

Z

e−^

R P (x) dx (y 1 )^2

dx.

Here, P (x) = 0 ⇒ e−^

R P (x)dx (^) = 1.

y 2 = ex

Z

(ex)^2

dx = ex

Z

e−^2 x^ dx.

y 2 = ex

e−^2 x

e−x.

Thus the two independent solutions are y 1 = ex^ and y 2 = e−x.

y = C 1 ex^ + C 2 e−x. —

4. Summary Rule

For the equation: y′′^ + P (x)y′^ + Q(x)y = 0,

if y 1 (x) is a known nonzero solution, then another linearly independent solution is:

y 2 = y 1 (x)

Z

e−^

R (^) P (x) dx

(y 1 (x))^2

dx.

5. Hidden Concept Notes

  • The reduction of order method always works if one solution y 1 is known and P (x), Q(x) are continuous.
  • The integral for y 2 might not always be expressible in closed form — it can some- times define y 2 implicitly.
  • The formula arises from Abel’s identity and Wronskian theory.

Finding the Second Solution of a Second-Order Non-

homogeneous Linear Differential Equation

Consider a second-order linear differential equation of the form:

y′′^ + P (x)y′^ + Q(x)y = R(x),

where P (x), Q(x), R(x) are continuous functions on an interval I. Suppose one part of the complementary function (C.F.), say y 1 (x), is already known. Then the following rules help to determine the second solution or the complete solution.

Rule 1: Homogeneous Form

First, consider the associated homogeneous equation:

y′′^ + P (x)y′^ + Q(x)y = 0.

If y 1 (x) is a known solution, then the second solution y 2 (x) is found by the Reduction of Order method. —

Rule 2: Substitution for Reduction of Order

Let y 2 (x) = v(x) y 1 (x),

where v(x) is an unknown function to be determined. Compute derivatives:

y′ 2 = v′y 1 + vy′ 1 , y 2 ′′ = v′′y 1 + 2v′y 1 ′ + vy 1 ′′.

Substitute into the homogeneous equation and simplify using that y 1 satisfies it. You obtain: v′′y 1 + v′(2y 1 ′ + P (x)y 1 ) = 0. —

Rule 3: Reduction to First Order

Let w = v′, then: w′y 1 + w(2y 1 ′ + P (x)y 1 ) = 0.

This is a first-order linear ODE in w:

dw dx

(2y 1 ′ + P (x)y 1 ) y 1

w.

Integrate to find:

w = C exp

Z

(2y′ 1 /y 1 + P (x)) dx

7 Shortcut Formulas When a Part of the Complemen-

tary Function is Known

Consider a second-order linear homogeneous ODE:

y′′^ + P (x)y′^ + Q(x)y = 0.

If one solution y is already known, the following 7 rules give a direct condition for P (x) and Q(x) or for the exponent m.

Known Solution y Derivatives Condition / Formula

y = x y′^ = 1, y′′^ = 0 P + Qx = 0

y = x^2 y′^ = 2x, y′′^ = 2 2 + 2P x + Qx^2 = 0

y = xm^ y′^ = mxm−^1 , y′′^ = m(m − 1)xm−^2 m(m − 1) + mxP (x) + x^2 Q(x) = 0

y = ex^ y′^ = ex, y′′^ = ex^ 1 + P + Q = 0

y = ekx^ y′^ = kekx, y′′^ = k^2 ekx^ k^2 + kP + Q = 0

y = sin x y′^ = cos x, y′′^ = − sin x P = 0, Q = 1

y = cos x y′^ = − sin x, y′′^ = − cos x P = 0, Q = 1

Notes:

  • These rules allow you to immediately determine a relation between P and Q if a part of the complementary function is known.
  • Rule 3 (y = xm) generalizes Euler/Cauchy equations.
  • Rule 5 (y = ekx) generalizes exponential solutions.
  • Rules 6 and 7 handle trigonometric solutions.

Solved Examples Using Shortcut Rules for Part of

C.F. Known

Example 1: Solution y = x

Problem: Find the relation between P (x) and Q(x) if y = x is a solution of

y′′^ + P (x)y′^ + Q(x)y = 0.

Solution: For y = x, we have y′^ = 1, y′′^ = 0. Substitute into the ODE:

0 + P (x)(1) + Q(x)(x) = 0 ⇒ P (x) + Q(x)x = 0.

Answer: P (x) + xQ(x) = 0. —

Example 2: Solution y = x^2

Problem: Determine the relation between P and Q if y = x^2 is a solution of

y′′^ + P (x)y′^ + Q(x)y = 0.

Solution: For y = x^2 , y′^ = 2x, y′′^ = 2. Substitute:

2 + P (x) · 2 x + Q(x) · x^2 = 0 ⇒ 2 + 2xP (x) + x^2 Q(x) = 0.

Answer: 2 + 2xP (x) + x^2 Q(x) = 0. —

Example 3: Euler Equation y = xm

Problem: Solve the ODE x^2 y′′^ − 3 xy′^ + 4y = 0

using the shortcut for y = xm. Solution: Write in standard form: y′′^ −

x

y′^ +

x^2

y = 0.

Euler/Cauchy form: x^2 y′′^ + axy′^ + by = 0, with a = − 3 , b = 4. Characteristic (indicial) equation:

m(m − 1) + am + b = 0 ⇒ m(m − 1) − 3 m + 4 = 0

m^2 − 4 m + 4 = 0 ⇒ (m − 2)^2 = 0 ⇒ m = 2 (repeated root). General solution: y = C 1 x^2 + C 2 x^2 ln x. Answer: y = C 1 x^2 + C 2 x^2 ln x.

Reduction to Normal Form of a Second-Order Linear

ODE

Consider the general second-order linear homogeneous ODE:

y′′^ + P (x)y′^ + Q(x)y = 0.

Step 1: Normal Form

The normal form of a second-order linear ODE is:

y′′^ + r(x)y = 0,

where the first-derivative term is eliminated. —

Variation of Parameters for Second-Order Linear ODEs

Consider a second-order linear nonhomogeneous ODE:

y′′^ + P (x)y′^ + Q(x)y = f (x),

with a known complementary function (C.F.)

yc = C 1 y 1 (x) + C 2 y 2 (x),

where y 1 , y 2 are linearly independent solutions of the homogeneous equation.

Step 1: General Formula

The particular solution yp is given by

yp = −y 1

Z

y 2 f (x) W (y 1 , y 2 )

dx + y 2

Z

y 1 f (x) W (y 1 , y 2 )

dx ,

where W (y 1 , y 2 ) = y 1 y′ 2 − y′ 1 y 2 is the Wronskian.

Step 2: General Solution

y = yc + yp = C 1 y 1 + C 2 y 2 + yp. —

Solved Examples

Example 1: y′′^ − y = ex

Step 1: Solve homogeneous ODE:

y′′^ − y = 0 ⇒ r^2 − 1 = 0 ⇒ r = ± 1

yc = C 1 ex^ + C 2 e−x, y 1 = ex, y 2 = e−x. Step 2: Wronskian:

W = ex(−e−x) − (ex)(e−x) = − 2.

Step 3: Particular solution:

yp = −y 1

Z

y 2 f W

dx + y 2

Z

y 1 f W

dx = −ex

Z

e−xex − 2

dx + e−x

Z

exex − 2

dx

yp = ex

Z

dx − e−x

Z

e^2 x 2

dx =

xex^ −

ex^ =

xex^ −

ex.

Step 4: General solution:

y = C 1 ex^ + C 2 e−x^ +

xex^ −

ex^.

Example 2: y′′^ + y = tan x

Step 1: Solve homogeneous ODE:

y′′^ + y = 0 ⇒ yc = C 1 cos x + C 2 sin x, y 1 = cos x, y 2 = sin x.

Step 2: Wronskian:

W = y 1 y′ 2 − y′ 1 y 2 = cos x · cos x − (− sin x) · sin x = cos^2 x + sin^2 x = 1.

Step 3: Particular solution:

yp = − cos x

Z

sin x · tan x 1

dx + sin x

Z

cos x · tan x 1

dx

yp = − cos x

Z

sin^2 x/ cos xdx+sin x

Z

sin xdx = − cos x

Z

(sin^2 x/ cos x)dx+sin x(− cos x)?

Compute carefully: sin^2 x/ cos x = (1 − cos^2 x)/ cos x =

cos x

− cos x = sec x − cos x Z (sec x − cos x)dx = ln | sec x + tan x| − sin x

yp = − cos x[ln | sec x + tan x| − sin x] + sin x

Z

cos x tan xdx Z cos x tan xdx =

Z

cos x ·

sin x cos x

dx =

Z

sin xdx = − cos x

yp = − cos x ln | sec x + tan x| + cos x sin x − sin x cos x = − cos x ln | sec x + tan x| Step 4: General solution:

y = C 1 cos x + C 2 sin x − cos x ln | sec x + tan x|.

Example 3: y′′^ − 2 y′^ + y = ex/x

Step 1: Homogeneous solution:

y′′^ − 2 y′^ + y = 0 ⇒ r^2 − 2 r + 1 = 0 ⇒ r = 1 (double root)

yc = (C 1 + C 2 x)ex, y 1 = ex, y 2 = xex Step 2: Wronskian:

y′ 1 = ex, y′ 2 = ex^ + xex^ = (1 + x)ex

W = y 1 y 2 ′ − y 1 ′y 2 = ex(1 + x)ex^ − ex^ · xex^ = e^2 x Step 3: Particular solution:

yp = −y 1

Z

y 2 f W

dx + y 2

Z

y 1 f W

dx = −ex

Z

xex^ · ex/x e^2 x^

dx + xex

Z

ex^ · ex/x e^2 x^

dx