The ODE Toolkit the Exam Assumes
Separable: . Linear: is solved by the integrating factor , which makes .
The Putnam never asks you to solve a hard ODE; it asks you to recognize that a functional condition IS an ODE, solve the easy ODE, and then argue about existence, uniqueness, or a bound. with gives — and the point of the problem is the blow-up at : no solution exists on all of . Likewise forces , which cannot be defined on an interval longer than .
If then , so . If and , then is non-increasing, so for (Grönwall).
Multiplying by converts a differential equation into "a derivative is zero" and a differential INEQUALITY into "a function is monotone" — the two-line arguments graders want in place of "obviously the solution is ". For second-order equations the analogous tool is an energy: for , has , so a solution with has and is identically zero — uniqueness for free.
has solutions for the roots of (with for a double root, and , for ).
The solution space is two-dimensional (a solution is determined by — that is the uniqueness theorem), so two independent solutions span everything. The same characteristic-root method solves linear recurrences, which is why the "Sequences" and "Differential Equations" units share a proof.
Typical asks: show a function satisfying an -type condition has a specific form; bound given ; show a solution of cannot exist on all of (compare with after some point and use blow-up); compute for the unique with , . Existence and uniqueness (Picard) may be cited; blow-up must be argued.
Solve with and evaluate .
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: , so , , and .
Equations That Hide an ODE
A condition involving or a shifted argument such as often becomes an ordinary differential equation after one or two differentiations. The original condition, evaluated at a convenient point, supplies the initial values; at the end, check the answer in the ORIGINAL condition.
If is continuous, is differentiable by the fundamental theorem of calculus, so an equation " something " forces itself to be differentiable — the equation bootstraps its own smoothness. Differentiating turns the integral into an ODE, which the uniqueness theorem then pins down once the initial values are known; those come from setting in the original, where every vanishes. Differentiation can lose information (constants disappear), so the final check against the original condition is part of the proof.
Find all continuous with for all real .
Step 1 — the right side is differentiable (FTC), so is, and . Setting in the original gives .
Step 2 — integrating factor: , so is constant, equal to its value at .
Step 3 — . Check: ✓.
How to find it. An unknown function inside is an antiderivative in disguise; one differentiation removes it.
Find all continuous with for all real .
Step 1 — expand the integral as ; both pieces are differentiable, and by the product rule and FTC .
Step 2 — differentiate again: .
Step 3 — initial values from the two equations at : and .
Step 4 — the solutions of are ; the initial values give , , so . Check: (integrate by parts), so the right side is ✓.
How to find it. The kernel is what one integration by parts produces: is the second antiderivative of . Two differentiations undo two integrations.
Find all differentiable with for every .
Step 1 — the right side is differentiable, so is, and , applying the equation at the point .
Step 2 — so , whose solutions are exactly (uniqueness by the energy argument above).
Step 3 — the second-order equation has two constants; the first-order condition must remove one. Substitute: , while . Matching coefficients: and , i.e. and . These are the same condition, because .
Step 4 — so and for an arbitrary constant . Check: and , equal since ✓.
How to find it. Applying the reflection twice is the identity, so differentiating twice returns to with a sign: a reflection condition hides a second-order equation, and the original condition then cuts the solution space in half.
In the last example it is tempting to stop at Step 2: ", so ." That family is too big. Try : then while , so the original condition fails. Differentiating an equation produces a CONSEQUENCE of it, not an equivalent; every solution of the original solves , not conversely. The check against the original condition is not a formality — here it removes a whole dimension of false solutions.
Find all continuous with .
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is differentiable with and . Multiply by : , so (the constant from ), and . Check: , and ✓.
Comparison, Phase Lines and Blow-Up
Phase line: for , a solution never crosses an equilibrium (), and between equilibria it is monotone. Comparison: if , and , then for (for with continuous partial derivative in ). Blow-up: compare with an equation whose solution explodes, such as ().
All three rest on uniqueness. Two solutions of the same equation cannot meet (they would then coincide), so a solution that starts between two equilibria stays between them, and since keeps one sign there, it is monotone. For comparison, at a first point where would drop below the two would be equal with ; the smooth dependence of on turns that tangency into a contradiction (the careful version is Grönwall's inequality applied to ). Blow-up follows: a function forced to stay above a solution that becomes infinite at cannot exist beyond .
Let with . Without solving, show that for all , that is increasing, and that as . Then solve.
Step 1 — equilibria: and . A solution starting at cannot reach either (uniqueness), so as long as it exists.
Step 2 — there : is increasing and bounded, hence exists for all and has a limit as .
Step 3 — if , then , so would grow without bound: contradiction. So .
Step 4 — solve: separate, , so , and gives : , which indeed stays in , increases, and tends to .
How to find it. For an autonomous equation, draw the phase line first: the signs of between equilibria tell you where every solution goes, and the formula only confirms it.
Let solve with . Show that cannot be defined on all of : it becomes infinite before .
Step 1 — , so is non-decreasing and for .
Step 2 — for : , i.e. .
Step 3 — integrate from to : , since .
Step 4 — is less than , so the inequality is impossible once . Hence the solution cannot exist on : it becomes infinite at some . (Numerically ; the comparison bound is crude but rigorous.)
How to find it. The term makes growth feed on itself; the term is only a nuisance, so bound it below by a constant on a half-line and compare with the equation , whose solution is known to explode.
" with : is an equilibrium, so the solution stays at ." But also solves it: . Uniqueness — and with it the phase-line principle that solutions cannot leave an equilibrium — needs to be Lipschitz near the equilibrium (a bounded derivative suffices), and has an infinite slope at . Check the hypothesis before quoting the phase line.
Let with . Show that becomes infinite before .
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On , . Compare with , . Separating, gives (using ), so , which reaches — i.e. — at . By comparison as long as both exist, so becomes infinite no later than .
Proofs & Why It Matters
If on with , then .
Let . Then , so is non-increasing and , i.e. . Significance: Grönwall is how uniqueness of ODE solutions is actually proved (apply it to the square of the difference of two solutions), and it is the model for every "differential inequality growth bound" argument.
If is differentiable with and , then cannot exist on .
Since , is non-decreasing, so wherever it exists and . Integrating from to : , i.e. , which is impossible once (the left side is positive). Significance: this comparison is the standard way to show that solutions of have finite lifetime — a favorite Putnam "prove that no such function exists on all of ."
Formulas, Proofs & Tips
What it means. Get all the 's on one side and all the 's on the other, then integrate both sides.
Example. : .
Why it works. Dividing by and multiplying by separates the variables; integrating both sides is valid because each side is the derivative of the same quantity with respect to (a chain-rule substitution in reverse).
Tip. Apply the initial condition to find before simplifying — it is usually much less algebra.