Worked examples — Case 1 - two distinct real roots
This page is the "no surprises" drill for Case 1. The parent note showed you the machine — Replace, Solve, Superpose. Here we run that machine through every kind of input it can meet, so that when an exam throws you a variation, you have already seen its shape.
Before any algebra, one reminder of the object we are solving:
Here are the two growth rates; are free constants set by starting data. Everything below is just this one formula, met in every disguise.
The scenario matrix
Case 1 always gives two real numbers . What differs is their signs, whether one is zero, whether the problem is dressed as a word problem, and how the constants get fixed. Each row below is a distinct "shape of answer" you must recognise on sight.
| Cell | What is special about the roots | Long-term behaviour of | Example |
|---|---|---|---|
| A | Both roots negative () | Decays to | Ex 1 |
| B | Both roots positive () | Blows up | Ex 2 |
| C | Opposite signs () | Generically blows up (one term dominates) | Ex 3 |
| D | One root is zero (? no — ) | Settles to a nonzero constant | Ex 4 |
| E | symmetric roots () | Grows unless the growing part is switched off | Ex 5 |
| F | Initial conditions pin | Depends on data | Ex 6 |
| G | Boundary conditions (values at two 's) | Depends on data | Ex 7 |
| H | Word problem (real-world decay/mixing) | Physical decay | Ex 8 |
| I | Exam twist — leading coefficient , needs the quadratic formula | Depends | Ex 9 |
| J | Degenerate boundary — no solution / infinitely many | Watch for failure | Ex 10 |
The figure below plots the four sign-combinations of roots so you can see what each row does before we compute anything.

Look at the four coloured curves: green (both roots negative) sinks to zero; red (both positive) shoots up; blue (opposite signs) is pulled up by its growing half; yellow (a zero root) flattens onto a constant shelf. Every example below lands on one of these shapes.
Cell A — both roots negative (pure decay)
- Replace derivatives by powers of : . Why this step? The ansatz makes , ; the common factor divides out, leaving pure algebra.
- Check the discriminant: . Why this step? Positive discriminant is the entry ticket to Case 1 — two distinct reals.
- Solve the quadratic: . Why this step? These are the two growth rates that make the exponential satisfy the ODE.
- Superpose: . Why this step? Superposition plus the need for two free constants in a 2nd-order ODE.
Recall Verify
Take : ✔. Both roots negative, so as , — matches the forecast.
Cell B — both roots positive (pure growth)
- Characteristic equation: . Why? Same replacement rule.
- Discriminant: . Case 1 confirmed. Why? Guarantees two distinct real roots.
- Factor: . Why? Both positive, matching the sum/product prediction.
- General solution: .
Recall Verify
Sum of roots ✔; product ✔ (Vieta's checks). Test : ✔.
Cell C — opposite-sign roots (saddle)
- Characteristic equation: .
- Discriminant: . Why? Case 1.
- Factor: . Why? One positive ( grows), one negative ( decays).
- General solution: .
Recall Verify
Product ✔, sum ✔. Test : ✔.
Cell D — one root is zero (settles to a constant)
- Characteristic equation: . Why? Same replacement; leaves no constant term.
- Factor: . Why? These are still two distinct reals, so it is genuinely Case 1 — the zero root is perfectly legal.
- General solution: . Why? , so the "growth rate zero" solution is the constant function.
Recall Verify
Test (constant): ✔. As , , a constant shelf — matches forecast.
Cell E — symmetric roots ()
- Characteristic equation: .
- Solve: , i.e. . Distinct reals — Case 1. Why? Discriminant .
- General solution: .
Recall Verify
Test : ✔. Test : ✔.
Cell F — initial conditions fix the constants
- Characteristic equation & roots: .
- General solution: .
- Apply : at both exponentials equal , so . Why? collapses the equation into a plain linear relation.
- Differentiate: . Apply : . Why? A 2-parameter family needs two conditions to be pinned.
- Solve the pair: subtract: , then . Why? Two linear equations, two unknowns.
- Answer: .
Recall Verify
✔. ✔. Plug into ODE: ✔.
Cell G — boundary conditions (two different -values)
- Roots & general solution: , so .
- Apply : . Why? Both exponentials are at .
- Apply : , , so . Why? Evaluate the exponentials at exactly.
- Solve: from step 2, . Substitute: , then . Why? Linear elimination again — boundary conditions are still just two linear equations.
- Answer: .
Recall Verify
✔. ✔.
Cell H — real-world word problem
- Characteristic equation: . Why? Standard replacement.
- General solution: .
- : . Why? .
- , : . Why? Second condition pins both constants.
- Solve: subtract step 3: , then .
- Answer: . As , both terms , so .
Recall Verify
✔. ✔. Units: shares 's units per second; the rates have units (correct for an exponential of with in seconds). Long-term matches physical decay ✔.
Cell I — exam twist: , quadratic formula needed
- Characteristic equation: . Why? Keep the coefficient ; do not divide sloppily.
- Quadratic formula: . Why this tool? No obvious integer factoring, so the formula is the general route.
- Roots: . Why? Discriminant , distinct reals — Case 1.
- General solution: .
Recall Verify
Sum ✔. Product ✔. Test : ✔.
Cell J — degenerate boundary problem (a trap)
- General solution: .
- Impose : , so we must have . Why? Any nonzero makes blow up, contradicting the limit.
- Now . Impose : , so . A unique solution exists.
- Second version — impose instead: , giving . Here the only decaying solution starting at is the trivial zero function. Why show both? To see that boundary conditions can (a) select a unique nonzero solution, or (b) force the trivial solution — you must check which.
Recall Verify
: ✔; ✔; ✔. Version two: trivially satisfies everything ✔.
Recall check
Which sign of guarantees opposite-sign roots?
When , what is always one of the roots and what does that term look like?
Why does " as " force a constant to vanish?
For , what are the roots?
Connections
- Case 1 - two distinct real roots — the parent recipe drilled here.
- Characteristic equation — the quadratic behind every example.
- Superposition principle — why every answer is .
- Wronskian and linear independence — guarantees the two exponentials span all solutions, even when one root is .
- Case 2 repeated real root — the neighbouring case when the discriminant hits .
- Case 3 complex conjugate roots — when the discriminant goes negative.
- Exponential function and its derivative — the reason the whole method works.