Differential Equations and Vector Calculus – Key Vocabulary
Page 1
- Overview of the syllabus (5 units)
- Unit-1 – Ordinary Differential Equations (ODE): higher-order linear equations, Bernoulli, Exact, operators , complementary function (C.F), particular integral (P.I), variation of parameters.
- Unit-2 – Equations reducible to linear form, Cauchy & Legendre equations, simultaneous linear ODEs with constant coefficients.
- Unit-3 – First–order Partial Differential Equations (PDE): homogeneous & non-homogeneous forms, higher-order PDEs.
- Unit-4 – Multivariable calculus I: vector differentiation (gradient, divergence, curl, vector identities).
- Unit-5 – Multivariable calculus II: vector integration (line, surface & volume integrals), Green, Stokes & Divergence theorems.
Page 2
- Definition of a differential equation.
- Ordinary vs. Partial DE.
- Examples that distinguish ODE () from PDE ().
Page 3
- Order = highest derivative present; degree = power of that derivative once the equation is polynomial in derivatives.
- Worked examples:
- → order 2, degree 1.
- → order 1, degree 2.
Page 4
- Formation of a DE by eliminating constants from , , .
- Resulting second-order DEs shown.
Page 5 – Page 6
- More elimination practice producing third-order equations from and .
Page 7
- Differential equation of the family of circles derived:
Page 8
- Variable-separable concept: rearrange to then integrate.
- Example manipulation leading to
Page 9
- Homogeneous first-order ODE () solved by substitution .
- Trig example giving
Page 10
- Definitions: general solution (contains as many arbitrary constants as its order), particular solution (constants assigned specific values).
- Four standard first-order methods: separable, linear, Bernoulli, exact.
Page 11
- Recap of separable type with worked exponential example producing
Page 12
- Trigonometric separable example: leads to
Page 13
- Partial-fraction decomposition inside separable integrals.
- Logarithmic solution
Page 14–15
- Additional separable integrals including square-root and exponential substitutions.
Page 15 (Linear first-order)
- Standard form .
- Integrating factor .
- General solution: .
Page 16–18
- Three linear examples solved:
- → solution
- gives
- processed via substitution .
Page 19–24 (Bernoulli)
- Bernoulli form . Divide by , set to obtain linear DE in .
- A full transformation example yields final explicit .
Page 25–29 (Exact & Integrating Factor)
- Exact test for .
- If not exact, find integrating factor by inspection or formula .
- Solved examples:
- .
- .
Page 30–32 (IF, non-exact cases)
- Homogeneous type integrating factor .
- Problems worked with multipliers and partial fractions.
Page 33–37 (Higher-order Linear ODE)
- Operator notation .
- Auxiliary (characteristic) equation derived from constant-coefficient linear ODE.
- Four root cases:
- Distinct real : .
- Repeated: multiply by powers of .
- Complex pair : .
- Repeated complex.
- Sample solutions for and .
Page 38–56 (Particular Integral rules)
- Inverse operator method: .
- Special input functions:
- Exponential ⇒ replace with .
- ⇒ replace with .
- Polynomials ⇒ expand in ascending .
- Products ⇒ use shift .
- Extensive worked examples up to third order, partial fractions, repeated roots.
Page 57–60 (ODE examples with trig/exponential forcing)
- Application of all PI rules giving complete solutions combining CF+PI.
Page 61–66 (Variation of Parameters)
- For with two known independent :
- Examples include where
Page 67–70 (Cauchy & Legendre Equations)
- Cauchy form ; use substitution so that .
- Example: mapped to constant-coefficient .
Page 71–78 (First-order PDE)
- Standard notations .
- Formation by eliminating constants; family of circles example reproduced.
- Four standard forms:
- ⇒ complete integral constrained by .
- ⇒ integrate separately: .
- Clairaut ⇒ replace with then envelope gives singular solution.
- General Lagrange . Subsidiary (auxiliary) equations: solved by grouping or multipliers.
- Charpit method introduced for non-linear first-order PDEs.
Page 79–84 (Vector Differentiation)
- Scalar field ⇒ gradient (vector).
- Vector field .
- Divergence (scalar).
- Curl (vector, determinant mnemonic).
- Solenoidal: . Irrotational: .
- Directional derivative in direction : .
- Unit normal to surface is .
- Worked gradient, divergence, curl and directional-derivative examples.
Page 85–88 (Vector Integration)
- Differential displacement .
- Line integral (work, circulation).
- Surface integral with projections .
- Volume integral .
Page 89–95 (Green, Stokes, Divergence)
- Green’s theorem (plane): .
- Stokes’ theorem: .
- Divergence (Gauss) theorem: .
- Each theorem verified on rectangular regions, planes & parallelepipeds with explicit calculations.
Page 96 – End (Misc. Worked Problems)
- Multiple integrals evaluated along parametric paths .
- Use of projections onto coordinate planes to compute surface integrals for plane inside first octant.
- Combined application of Gauss theorem across six faces of rectangular box to show for
These page-wise notes capture every principal definition, algorithm, theorem, worked example, and formula mentioned in the transcript, formatted for rapid exam review.
To find the particular integral (PI) for a linear ordinary differential equation with constant coefficients, , the method depends on the form of (the input function):
- If (Exponential function): You replace with in the inverse operator . That is, PI = rac{1}{f(a)}e^{ax}, provided that . If , a special rule involving multiplication by and differentiation of is applied.
- If or (Trigonometric function): You replace with in the inverse operator . That is, PI = rac{1}{f(D^2)} ext{sin}(ax) = rac{1}{f(-a^2)} ext{sin}(ax), provided that . Similar rules apply if the denominator becomes zero.
- If (Polynomial): You expand in ascending powers of using binomial expansion or long division, and then apply the operators to .
- If (Product of exponential and another function): You use the shift rule: PI = e^{ax}rac{1}{f(D+a)}V(x). You then proceed to find the PI for based on the type of .
To find the Complementary Function (C.F) of a higher-order linear ordinary differential equation with constant coefficients, you first derive the Auxiliary (characteristic) equation . The form of the C.F then depends on the roots of this auxiliary equation:
- Distinct real roots (): The C.F is the sum of exponential terms, i.e., .
- Repeated real roots: If a root is repeated times, the C.F terms associated with it will include powers of , for example, .
- Complex conjugate roots (): For each pair of complex roots, the C.F term is .
- Repeated complex conjugate roots: If a complex pair is repeated, similar to repeated real roots, you multiply by powers of , for example, for a pair repeated twice.