4.6.11 · D5Ordinary Differential Equations
Question bank — Case 1 - two distinct real roots
Before we start, the objects in play — so no symbol appears un-earned:
- is the unknown function we are solving for; is its slope (first derivative), its curvature (second derivative).
- is our ODE, with fixed number weights and .
- is the exponential ansatz: the one shape whose derivative is just itself times a number, (see Exponential function and its derivative).
- is the Characteristic equation; its roots come from the quadratic formula, and is the discriminant that decides which case we are in.
- Case 1 means : two different real roots .
True or false — justify
TF1. If and both solve the ODE, then also solves it.
True — the equation is linear, so scaling and adding solutions keeps you in the solution set; this is exactly the Superposition principle.
TF2. (no constants) is the general solution in Case 1.
False — it is one particular solution. The general solution needs the two free constants because a 2nd-order ODE has a two-parameter family.
TF3. Two distinct real roots always mean the solution decays to zero as .
False — decay needs both roots negative. If either root is positive (e.g. ), a generic solution grows without bound.
TF4. and are linearly independent whenever .
True — their ratio is non-constant, so neither is a fixed multiple of the other (confirmed by a nonzero Wronskian).
TF5. Since for every real , we are allowed to divide it out of the substituted equation.
True — the exponential never hits zero, so cancelling it introduces no lost solutions and leaves the pure algebra .
TF6. If the roots are and , one of the two basis solutions is the constant function .
True — , so ; the constant term is a perfectly valid, non-trivial solution.
TF7. A discriminant of exactly still counts as Case 1 because "the quadratic formula gives a root."
False — gives one repeated root; the two exponentials coincide and lose independence. That is Case 2 repeated real root, not Case 1.
TF8. Swapping the labels changes the general solution.
False — it only renames the constants; describes the very same family of functions.
TF9. The characteristic equation depends on the initial conditions .
False — the roots come only from . Initial conditions enter later, fixing from the general solution.
Spot the error
SE1. ", so by factoring the roots are and ."
The roots are where each factor is zero: and . The roots are and , not the numbers inside the brackets.
SE2. "Discriminant is , which is not positive, so this isn't Case 1."
is positive (), so it is Case 1. The trap is misreading a small positive number as failing the strict inequality.
SE3. "For we get , and since there's only one root."
gives — two distinct real roots. A zero middle coefficient does not reduce the root count; it just makes them symmetric.
SE4. ", so ."
The chain rule pulls down from the second term too: . Forgetting one factor of corrupts every later step.
SE5. "Both roots solve the ODE, so their product is also a solution."
Superposition permits sums and scalings, not products. generally has a growth rate that is not a root, so it need not satisfy the ODE.
SE6. "Since , either or the bracket is zero — let's try ."
is never zero for real , so that branch is empty; only the bracket can vanish, which is precisely why we get the characteristic equation.
Why questions
WQ1. Why do we guess and not, say, or a polynomial?
Because is the unique shape whose derivatives are just scaled copies of itself, so factors out and the ODE collapses into simple algebra in .
WQ2. Why does the algebra come out as a quadratic rather than some other equation?
The highest derivative is second order (), which contributes ; matching each derivative to a power of produces , a degree-2 polynomial.
WQ3. Why must a second-order ODE have exactly two arbitrary constants?
Recovering from requires two integrations, each adding one constant; equivalently you need two initial data ( and ) to pin a unique solution.
WQ4. Why does guarantee independence, while destroys it?
When the roots differ, the ratio changes with (independent). When they're equal the ratio is — the same function twice — so you've only found one direction of the solution space.
WQ5. Why do we even check the Wronskian if we can already see the ratio is non-constant?
The Wronskian gives a single, rigorous nonzero test valid at every point, and it generalises to cases where the "eyeball the ratio" trick isn't obvious.
WQ6. Why does the sign of the roots, not their size, decide long-term behaviour?
In , a positive grows and a negative decays as ; the exponent's sign sets the direction, while its magnitude only sets the speed.
Edge cases
EC1. What happens to the general solution if exactly one root is ?
That term becomes , a constant, so — the solution levels off toward rather than toward zero.
EC2. What if both distinct roots are negative but very close, like ?
Still Case 1 (they differ), so ; both decay. The formulas don't break, though numerically the two exponentials look nearly identical.
EC3. What if the roots are equal in magnitude but opposite in sign, ?
You get — one growing, one decaying "saddle" behaviour; the solution blows up unless the initial data forces .
EC4. As , what happens to the two roots and to Case 1?
The roots slide toward each other and merge; in the limit they coincide, Case 1 breaks down, and you must switch to Case 2 repeated real root with the extra factor.
EC5. If instead, why can't we stay in Case 1?
The square root of a negative number gives complex roots, so no real distinct roots exist; this is Case 3 complex conjugate roots, where solutions oscillate.
EC6. Could a genuine Case-1 solution ever be the zero function ?
Yes — choosing gives the trivial solution, which always satisfies a homogeneous ODE but carries no information; it's the one member of the family everyone forgets.
EC7. If someone hands you but writes , is that wrong?
No — the order and naming of terms is free, so this is the identical general solution; only the set of exponentials matters, not their sequence.
Connections
- Case 1 - two distinct real roots (index 4.6.11) — the parent note these traps stress-test.
- Characteristic equation — the algebra whose roots every card hinges on.
- Case 2 repeated real root / Case 3 complex conjugate roots — the two "next door" cases many traps disguise themselves as.
- Wronskian and linear independence — the rigorous independence test behind TF4/WQ5.
- Superposition principle — why sums (not products) of solutions are allowed (TF1, SE5).
- Exponential function and its derivative — why is the natural guess (WQ1).