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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

The Mixing Tank: Salt Balance and k = r/V

Why does salt flowing through a well-mixed tank obey exactly the same equation as a cooling body, with $k = r/V$?


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Your summary note

    1. 1

      Three tiers of first-order linear equations

      List y′+ky=kqe(t)y' + ky = kq_e(t)y′+ky=kqe​(t), y′+ky=q(t)y' + ky = q(t)y′+ky=q(t) and y′+p(t)y=q(t)y' + p(t)y = q(t)y′+p(t)y=q(t) from special to general, name the first the conduction-diffusion model, and note the assumption k>0k > 0k>0.

    2. 2

      Salt balance for the well-mixed tank

      Set up dxdt\frac{dx}{dt}dtdx​ as inflow rCerC_erCe​ minus outflow rxVr\frac{x}{V}rVx​ for the amount xxx, then substitute x=CVx = CVx=CV to reach C′+rVC=rVCe(t)C' + \frac{r}{V}C = \frac{r}{V}C_e(t)C′+Vr​C=Vr​Ce​(t).

    3. 3

      k=r/Vk = r/Vk=r/V as the fractional rate of outflow

      Interpret r/Vr/Vr/V with a numerical example of the fraction emptied per minute, and check that its units are reciprocal time, matching conductivity and diffusivity.

    4. 4

      Sinusoidal inflow concentration and large kkk

      Using the polluted-lake example and the known AAA and ϕ\phiϕ, record what happens to amplitude and phase lag as kkk grows, and which tank conditions make kkk large.

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