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Differential Equations
The Geometric View of ODEs
01Direction Fields and the Geometric View of ODEs02Integral Curves and the Isocline Method03Perpendicular Isoclines: The Circles of y' = -x/y04Isocline Corridors and a Trap for Solutions05Existence and Uniqueness: One Curve Through a Point06Where Existence and Uniqueness FailProblem set0/10Problem set 20/10MIT problem set0/3
Numerical Methods
01Euler's Method and Its Three Equations02Euler's Method by Hand: Building the Table03Convexity and the Sign of Euler's Error04First Order Error: Halve the Step, Halve the Error05Improved Euler (RK2): Averaging Two Slopes06Runge-Kutta 4 and the Price of Accuracy07Singular Points: Where Every Method FailsProblem set0/10Problem set 20/10MIT problem set0/1
First-Order Linear Equations
01First Order Linear: Standard Form and the Sign of p02The Conduction-Diffusion Model: Newton's Law of Cooling03The Integrating Factor and the Four-Step Method04Integrating Factors: Two Mistakes and a Trick Question05Constant Coefficients: Steady State and TransientProblem set0/10Problem set 20/10MIT problem set0/1
Substitution Methods
01Scaling a First Order ODE: The Fourth-Power Cooling Law02The Bernoulli Equation and the Substitution v = y^(1-n)03A Worked Bernoulli Example: The Substitution v = 1/y04Homogeneous Equations: The Zoom Test and y = zx05Modelling the Lighthouse Chase: A 45-Degree Heading06The Boat's Path: A Logarithmic Spiral in Polar CoordinatesProblem set0/10Problem set 20/10
Autonomous Equations
01Autonomous Equations and Time-Translation Invariance02Critical Points: Constant Solutions as Barriers03The Embezzler Model dy/dt = ry - w: One Unstable Balance04The Logistic Equation: Carrying Capacity Without Solving05Stable, Unstable and Semi-Stable Critical Points06Maximum Sustainable Harvest: Why h = a^2/4bProblem set0/10Problem set 20/10MIT problem set0/3
Complex Numbers
01Complex Division, Polar Form and the Definition of e^(iθ)02Why e^(iθ) Earns Its Name: Multiply Moduli, Add Angles03Integrating e^(-x) cos x by Complexifying04The nth Roots of Unity: Zeta on the Unit CircleProblem set0/10Problem set 20/10MIT problem set0/4
Input and Response
01Steady-State and Transient Solutions of y' + ky = q(t)02Input, Response and the Superposition Principle03Solving y' + ky = k cos ωt by Complexification04Amplitude and Phase Lag of a Sinusoidal ResponseProblem set0/10Problem set 20/10MIT problem set0/2
01Cartesian Method: Rationalise, Then Take the Real Part02The Sinusoidal Identity and Its Right Triangle03Three Proofs of the Sinusoidal Identity04The Mixing Tank: Salt Balance and k = r/V05RC Circuits, Decay Chains and Negative kProblem set0/10Problem set 20/10MIT problem set0/2
Second-Order Linear Equations
01Second-Order Linear ODEs and the Spring–Mass–Dashpot02The Characteristic Equation and Overdamped Motion03Complex Roots a ± bi and Underdamped Oscillation04Critical Damping and Reduction of Order: t e^(−at)Problem set0/10Problem set 20/10MIT problem set0/2
01One Complex Root Is Enough: Conjugates and Real Solutions02When a Damped Spring Oscillates: p Below ω₀03Damped Oscillations: Pseudo-Period and ω₁² + p² = ω₀²Problem set0/10Problem set 20/10MIT problem set0/1
01Superposition: Why Linearity Makes c₁y₁ + c₂y₂ a Solution02The Wronskian and Abel's Theorem: Fitting Any Initial Values03Normalized Solutions: Why cosh x and sinh x Solve y'' − y = 004Uniqueness: Why c₁y₁ + c₂y₂ Is Every SolutionProblem set0/10Problem set 20/10

Superposition: Why Linearity Makes c₁y₁ + c₂y₂ a Solution

Why does linearity alone guarantee that every combination $c_1y_1 + c_2y_2$ of two solutions is again a solution — even when $p$ and $q$ vary with $x$?


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Your summary note

    1. 1

      Independence of two solutions

      State both conditions y2≠c y1y_2 \neq c\,y_1y2​=cy1​ and y1≠c′ y2y_1 \neq c'\,y_2y1​=c′y2​, and work the pair y1=0y_1 = 0y1​=0, y2≠0y_2 \neq 0y2​=0 to show one condition alone lets a dependent pair through.

    2. 2

      The operator L=D2+pD+qL = D^2 + pD + qL=D2+pD+q

      Rewrite y′′+p y′+q y=0y'' + p\,y' + q\,y = 0y′′+py′+qy=0 step by step as Ly=0Ly = 0Ly=0, and compute L(x2)=2+2xp+x2qL(x^2) = 2 + 2xp + x^2qL(x2)=2+2xp+x2q as an example of the operator acting on a function.

    3. 3

      The two laws of a linear operator

      Write L(u1+u2)=L(u1)+L(u2)L(u_1 + u_2) = L(u_1) + L(u_2)L(u1​+u2​)=L(u1​)+L(u2​) and L(cu)=c L(u)L(cu) = c\,L(u)L(cu)=cL(u), and verify both laws for DDD from the sum and constant-multiple rules for derivatives.

    4. 4

      The superposition principle and its proof

      Write the three-line proof that L(c1y1+c2y2)=c1L(y1)+c2L(y2)=0L(c_1y_1 + c_2y_2) = c_1L(y_1) + c_2L(y_2) = 0L(c1​y1​+c2​y2​)=c1​L(y1​)+c2​L(y2​)=0, naming the law used at each step, and record what changes when the right side is not 000.

    Attempt 1 of 2