First-order ODE classification
A differential equation ties a function to its own rate of change, and before any solution technique is touched, an equation must be sorted correctly — otherwise the wrong machinery gets applied and the algebra goes nowhere. This article is the classification gateway of the Ordinary Differential Equations unit in MA10001: it fixes what order and degree mean, distinguishes linear from nonlinear, and singles out the simplest solvable family, the variables-separable first-order equation. Every later technique in the unit — exact equations, linear equations, Bernoulli's equation — assumes a student can already answer three quick questions about an ODE on sight: how high is the derivative, what power is it raised to, and does it split into an -part times a -part? Get that triage right and separation of variables becomes routine integration; get it wrong and hours are lost forcing a technique that was never going to work. The ideas here reuse only integration and implicit differentiation already known from single-variable calculus.
Classify an ODE by order, degree and linearity before choosing a method; a first-order equation is separable and solves by integrating .
The core idea
An ordinary differential equation (ODE) relates an unknown function to its derivatives Two labels are attached before anything else is attempted. The order is the order of the highest derivative appearing in the equation. The degree is the power to which that highest-order derivative is raised, once the equation has been cleared of fractions and radicals so that it is polynomial in the derivatives. Order and degree are independent counts — one about which derivative, the other about what power.
where: the highest derivative present is (order 1), and it is cubed (degree 3). By contrast has order 2 (because of ) and degree 1 (that appears only to the first power). An ODE is linear if the dependent variable and every derivative of it occur only to the first power, with no products such as and no nonlinear function of such as , , or . Any equation failing this test is nonlinear. Linearity does not care about — an equation can have , , or multiplying or and still be linear; it is only and its derivatives that must stay to the first power, unmixed. A first-order, first-degree equation is called variables separable exactly when factors as a product of a pure function of and a pure function of , . Dividing through by isolates each variable on its own side:
where: collects every -dependent factor and every -dependent factor of the right-hand side; the split must be exact, not approximate. Integrating each side independently — one integral in , one in — gives the general solution
where: is a single arbitrary constant of integration (the two integrals do not each need their own constant — one is enough, since a difference of constants is still just a constant). A first-order ODE's general solution is a one-parameter family of curves; supplying an initial condition selects one curve from the family, the particular solution.
Working through these four checks in order — order, degree, linear or not, separable or not — is the practical habit the rest of the unit builds on. Misclassifying an equation almost always means reaching for a technique that cannot actually solve it.
The goal is to show, using only the chain rule run in reverse and ordinary integration, that any first-order equation of the form (with ) collapses to two independent integrals whose sum, plus one constant, is the complete general solution — the working engine behind every separable-equation problem in this unit.
Step 1. Start from and divide both sides by , which is legal wherever . This gives , an equation in which every -dependent piece sits together with and every -dependent piece sits alone on the right.
Step 2. Integrate both sides with respect to : . The left integral is exactly the setup for a -substitution with , , so it equals purely as a function of — this is the formal justification for writing and "integrating each side on its own variable," a shortcut that is really this substitution done silently.
Step 3. Carry out both integrations symbolically: . A single constant suffices because combining two separate constants of integration, one from each side, only ever produces one net constant.
Step 4. Recognize the result as the general solution. It is an implicit relation between and containing one free constant, so it represents a one-parameter family of curves, each one a valid solution curve of the original ODE. Substituting an initial condition into this relation solves for and pins down the single curve through that point — the particular solution.
Worked example
Solve , given , and then extend it to a second initial condition.
Step 1 — classify. The equation is order 1 (only appears) and degree 1 (that derivative is to the first power). It is nonlinear because of the in the denominator, which is equivalent to multiplying — not a first-power appearance of . Writing the right side as shows it is separable, with and .
Step 2 — separate. .
Step 3 — integrate both sides. . Multiplying through by 3 and renaming the constant gives .
Step 4 — apply the initial condition. At , : , so .
Step 5 — write the particular solution. , so . Checking by implicit differentiation, gives , matching the original ODE, so the particular solution is .
Competitive stretch
The same family answers a slightly harder question: for which initial points does the solution curve pass through the origin's neighbourhood without ever vanishing on the way? Since is defined and smooth for every real whenever makes the cube root well-behaved (real cube roots exist for all real arguments, unlike square roots), the only delicate value is , i.e. , which forces — a solution curve that passes straight through the origin. Every other value of traces a curve that never touches except possibly where , confirming that the constant from the initial condition genuinely controls the shape of the whole family, not just a single point on it.
Common traps
- Confusing order with degree. Order counts which derivative is highest; degree is the power of that highest derivative once the equation is rationalized — they are independent numbers and neither determines the other.
- Forgetting the constant of integration until later. Add immediately after integrating both sides; delaying it risks losing or duplicating terms during rearrangement.
- Assuming every first-order ODE is separable. Only right-hand sides that factor as split this way. is not separable — it is linear, and needs a different method covered later in the unit.
- Mislabelling nonlinear equations as linear. Watch for products like , powers of above one, or trapped inside , , or similar — any of these makes the equation nonlinear regardless of how the -terms look.
- Losing a constant solution when dividing by . If for some constant , then is itself a solution of the original ODE, but dividing by during separation silently discards it — always check for such singular solutions separately.
Ask the tutor: unsure whether a tricky right-hand side actually factors as , or want another initial-value problem checked step by step? Ask the AI tutor to classify and solve it with you.
Why does dividing by h(y) sometimes throw away a valid solution?
Because division by zero is never legal, and if for some constant value , then makes automatically — a perfectly good constant solution of the original equation. Once you divide both sides by to separate variables, you have implicitly assumed , so that constant solution never appears in the integrated family and must be checked and reported separately, alongside the general solution.
How can I tell quickly if a right-hand side is separable without extensive algebra?
Try to physically pull all the terms into one factor and all the terms into another by pure multiplication and division, no addition allowed. , , and all split cleanly. Anything with and added or subtracted inside the same term, like or , or appearing both inside and outside a function in a tangled way, usually is not separable and needs a different technique.
Does an implicit solution like y cubed equals x cubed plus 8 count as a full answer, or do I have to solve for y explicitly?
An implicit relation between and is a completely valid general or particular solution whenever it cannot be cleanly solved for , and even when it can — as in this case, where is available — either form is acceptable unless a question specifically asks for explicitly. Many separable equations in later, harder examples (products of exponentials, logarithms) genuinely cannot be inverted in elementary terms, so getting comfortable leaving the answer implicit, after checking it by implicit differentiation, is an expected skill in this course.