Second-Order Linear ODEs – Superposition, Linear Independence & Characteristic Roots

Two Dependent Variables & Uncertainty

  • Opening remark: when a system contains two dependent variables, each can influence the outcome; uncertainty arises because what happens to one need not happen to the other.
  • Practical implication: always expect multiple possible behaviors unless a theorem guarantees uniqueness.

Fast Solution of Differential Equations

  • Goal: “find a quick way of solving” – the characteristic-equation method for linear, homogeneous, constant-coefficient ODEs.
  • Key observation: focus on one function that is unique (the lecturer jokingly calls it “the delivery when antidelivery is safe”).

Superposition Principle (c₁, c₂‐Form)

  • For a second-order homogeneous linear ODE ay+by+cy=0a\,y''+b\,y'+c\,y=0 every linear combination of two independent solutions is again a solution.
  • Statement: “Pick any c<em>1,c</em>2c<em>1, c</em>2, the sum c<em>1y</em>1+c<em>2y</em>2c<em>1y</em>1+c<em>2y</em>2 is still a solution; no restriction on c<em>1,c</em>2c<em>1,c</em>2.”
    → wording change: “for some c<em>1,c</em>2c<em>1,c</em>2” vs “for all c<em>1,c</em>2c<em>1,c</em>2” distinguishes existence from universality.
  • Humorous example: “Pick your name for cosx\cos x, your friend’s name for sinx\sin x—any coefficients will work.”

“Two-Fold Infinity” of Solutions

  • Idea: allowing all real values of c<em>1,c</em>2c<em>1,c</em>2 yields an uncountable ("two-fold infinity") family of solutions.
    – Visualised as c<em>1,c</em>2R2{c<em>1,c</em>2}\cong \mathbb R^2.

English vs Mathematical “Independence”

  • Everyday: independent ⇒ unique, incomparable.
  • Mathematical (linear) independence: a set f<em>1,f</em>2{f<em>1,f</em>2} on interval II is linearly independent if neither is a constant multiple of the other on II.
    – Example independent pair: sinx,  cosx\sin x,\;\cos x (quotient gives tanx\tan x or cotx\cot x, not a constant).
    – Example dependent pair: x,  2xx,\;2x (constant multiple).

Quick Tests for Independence

  • Constant-multiple test: if f(x)=kg(x)f(x)=k\,g(x) for some constant kk on II ⇒ dependent.
  • Wronskian (to be formalised later): W(f,g)(x)=fgfgW(f,g)(x)=f g' - f' g.
    – If W≢0W\not\equiv 0 on II ⇒ independent.

Theorem 4 (Existence Version)

  • If yy is any solution on interval II, there exists constants c<em>1,c</em>2c<em>1,c</em>2 such that y=c<em>1y</em>1+c<em>2y</em>2y=c<em>1y</em>1+c<em>2y</em>2 where y<em>1,y</em>2y<em>1,y</em>2 are a fundamental set on II.
  • Not universal for all c<em>1,c</em>2c<em>1,c</em>2 – merely one pair fits each specific solution.

Domain & Piecewise Issues

  • Example: solutions y<em>1=x,  y</em>2=x3y<em>1=x,\;y</em>2=x^3 may each satisfy initial data on overlapping pieces, yet the whole domain may require piecewise definition.
  • Strategy: compute separate Wronskians W<em>L,W</em>RW<em>L, W</em>R on left/right sub-intervals, then glue solutions.

Characteristic-Equation Method (Section 3.1 “new stuff”)

  • Start with ODE ay+by+cy=0a\,y''+b\,y'+c\,y=0.
  • Form characteristic polynomial ar2+br+c=0a r^2 + b r + c = 0; roots r<em>1,r</em>2r<em>1,r</em>2 dictate the template of the general solution.
Case 1 – Distinct, Real Roots (r<em>1r</em>2Rr<em>1\ne r</em>2\in\mathbb R)
  • Theorem 5: y=c<em>1er</em>1x+c<em>2er</em>2xy=c<em>1 e^{r</em>1 x}+c<em>2 e^{r</em>2 x}.
Case 2 – Repeated, Real Root (r<em>1=r</em>2=rr<em>1=r</em>2=r)
  • Solution: y=(c<em>1+c</em>2x)erxy=(c<em>1+c</em>2 x)\,e^{r x}.
Case 3 – Complex Conjugate Roots (r=α±iβ,  β0r=\alpha\pm i\beta,\;\beta\ne 0)
  • Write e(α+iβ)x=eαx(cosβx+isinβx)e^{(\alpha+i\beta)x}=e^{\alpha x}(\cos \beta x + i\sin \beta x).
  • Real general solution: y=eαx(c<em>1cosβx+c</em>2sinβx)y=e^{\alpha x}\left(c<em>1\cos \beta x + c</em>2\sin \beta x\right).

Extensions to Higher Order

  • Same projection idea: reduce an nthn^{\text{th}}-order constant-coefficient ODE to an nn-degree polynomial; solve roots; build exponentials/polynomials/sines-cosines accordingly.
  • Lecturer hints at “projection to 2-D philosophy” – treat each pair of complex roots as a 2-D subsystem.

Theorems Beyond Second Order

  • Two final theorems (names not provided) cover:
  1. Multiple distinct real roots in high order.
  2. Complex roots in conjugate pairs.
  3. Repeated roots requiring extra xx factors (up to multiplicity kk gives xk1erxx^{k-1}e^{rx} terms).

Practical Workflow for Students

  1. Verify whether the ODE is linear, homogeneous, constant-coefficient.
  2. Write the characteristic polynomial, factor (use technology if degree >2).
  3. Classify roots (distinct, repeated, complex).
  4. Construct template solution as per the three cases above.
  5. Impose initial conditions to solve for c<em>1,c</em>2c<em>1,c</em>2.
  6. If domain is piecewise, compute solution/Wronskian on each sub-interval.

Examples & Metaphors Mentioned

  • “Your name cosx\cos x, friend’s name sinx\sin x” illustrates arbitrary constants.
  • Dividing sinx\sin x by cosx\cos x gives tanx\tan x – shows non-multiplicity yet relationship.
  • “Two-fold infinity” describes the R2\mathbb R^2 space of coefficients.

Ethical / Pedagogical Comments

  • Lecturer avoids giving problems that demand heavy symbolic integration late in the course – focuses on conceptual mastery.
  • Emphasis on not “wasting time to re-prove long-established theorems” in class; instead supply convincing examples.

Key Vocabulary

  • Dependent Variable – quantity whose value depends on others.
  • Superposition – linear combination of solutions is a solution.
  • Fundamental Set – minimal independent set spanning solution space.
  • Linear Independence – no constant multiple relation; Wronskian non-zero.
  • Characteristic Equation – algebraic equation ar2+br+c=0ar^2+br+c=0 for 2nd order.
  • Repeated Root – root multiplicity >1, introduces polynomial factors.
  • Complex Conjugate Roots – pair producing oscillatory sin,cos\sin,\cos terms.

Numerical / Symbolic Facts to Memorise

  • W(f,g)(x)=fgfgW(f,g)(x)=f g' - f' g (Wronskian for two functions).
  • Template summary:
    – Distinct real: c<em>1er</em>1x+c<em>2er</em>2xc<em>1e^{r</em>1x}+c<em>2e^{r</em>2x}.
    – Repeated real: (c<em>1+c</em>2x)erx(c<em>1+c</em>2x)e^{rx}.
    – Complex pair α±iβ\alpha\pm i\beta: eαx(c<em>1cosβx+c</em>2sinβx)e^{\alpha x}(c<em>1\cos\beta x+c</em>2\sin\beta x).

Closing Advice

  • Always test for independence early; without it, superposition cannot span entire solution space.
  • Use technology for root-finding but understand the template shapes.
  • Expect exam questions on:
    – Identifying independence via Wronskian.
    – Writing general solutions for the three root patterns.
    – Applying initial/boundary conditions.
    – Recognising when piecewise treatment is needed (domain breaks).