Worked examples — Classification — elliptic, parabolic, hyperbolic (discriminant test)
This is a drill page for the parent classification topic. We will hit every kind of case the discriminant test can throw at you — clean signs, sneaky zeros, position-dependent types, and exam twists. Before we start, one reminder built from zero.
The scenario matrix
Every problem below is tagged with exactly which cell it fills. If you can do all of these, no exam version can surprise you.
| Cell | What makes it tricky | Example |
|---|---|---|
| C1 Clean hyperbolic | , constant coeffs | Ex. 1 |
| C2 Clean elliptic | , constant coeffs | Ex. 2 |
| C3 Parabolic via missing term | one 2nd-order term absent → | Ex. 3 |
| C4 Cross-term | must square a nonzero | Ex. 4 |
| C5 Convention trap | book writes | Ex. 5 |
| C6 Non-trivial parabolic | with all of | Ex. 6 |
| C7 Position-dependent type | functions of ; all three regions + degenerate line | Ex. 7 |
| C8 Quasilinear / solution-dependent | coeff depends on | Ex. 8 |
| C9 Real-world word problem | translate physics → coefficients + data needed | Ex. 9 |
| C10 Exam twist / limiting value | parameter 0 or sign flip | Ex. 10 |
Worked examples
(Cell C4) Classify .
Forecast: and are both (looks Laplace-ish, elliptic?) — but is loud. Who wins?
- Coefficients. , , . Why this step? The contributes directly (this convention: cross term is ).
- Compute. . Why this step? Squaring is why a big cross term can override same-sign .
- Read. hyperbolic.
Verify: Slopes , two real distinct values ⇒ hyperbolic. So the " same sign" hint is not a rule — the cross term flipped it. ✔
convention trap (Cell C5) A textbook writes its PDE as and defines . For , find the type in both conventions and show they agree.
Forecast: will the two formulas give the same number? The same sign?
- Our convention (, ). The cross term is , so , , . hyperbolic.
- Book convention (, ). Now , , . hyperbolic. Why this step? In this convention the cross coefficient is half of what you see, so you must solve ; the formula then compensates for the missing factor of .
- Compare. Numbers differ ( vs ) but both are positive. Why this step? Classification depends on the sign only, never the magnitude — so both conventions must, and do, agree on the type.
Verify: , so one is exactly times the other — same sign guaranteed. Both say hyperbolic. ✔
with every coefficient nonzero (Cell C6) Classify .
Forecast: every second-order term is present and nonzero, so it cannot be parabolic-by-missing-term. Guess the type before computing — is a full ever parabolic?
- Coefficients. , , ; all three are nonzero. Why this step? This is the whole point of the example — parabolic here is not because a term is absent, so we must test the actual arithmetic .
- Compute. . Why this step? Parabolic means the characteristic quadratic has a repeated real root, which happens exactly when its discriminant vanishes — a perfect-square principal part .
- Read. parabolic. Why this step? One repeated slope means a single characteristic direction, the hallmark of parabolic even with a full set of coefficients.
Verify: Repeated slope , and indeed . The principal part factors as — a genuine perfect square, confirming parabolic. ✔
Classify the Tricomi-type equation in every part of the plane.
Forecast: the type is not one word here. Where is it elliptic, parabolic, hyperbolic?
- Coefficients (now functions of position). , , . Why this step? is literally the variable , so becomes a function of position instead of a single number — you cannot answer with one word.
- Discriminant as a function. . Why this step? Writing as an expression in lets us see the sign flip: the type is decided point-by-point, so we track 's sign across the plane.
- Case : elliptic (right half-plane). Why this step? For positive , is negative, and negative is the elliptic (no real characteristics) case.
- Case : parabolic — the degenerate line where the type switches. Why this step? is exactly where crosses zero; a continuous must pass through the parabolic value to change sign between the two regions.
- Case : hyperbolic (left half-plane). Why this step? For negative , is positive, and positive is the hyperbolic (two real characteristics) case.

Verify: Sample points. At : elliptic ✔. At : parabolic ✔. At : hyperbolic ✔. ✔
A quasilinear equation is . Classify it where and where .
Forecast: the coefficient of is itself. Can the type flip depending on the solution's value?
- Coefficients. , , . Why this step? In a quasilinear PDE the top-derivative coefficient may depend on ; it still enters linearly, so the discriminant test still applies pointwise — but now the "point" includes the value of there.
- Discriminant. . Why this step? Because , the sign of is controlled by the sign of the solution , so the type cannot be named until we know .
- Where : elliptic. Why this step? Substituting the actual solution value turns the symbolic into a number whose sign we can read.
- Where : hyperbolic. Why this step? A different solution value flips the sign of , and therefore flips the type — the defining feature of quasilinear classification.
Verify: : elliptic ✔. : hyperbolic ✔. So you truly cannot name the type until you know the solution's sign. ✔
A thin metal rod is heated. Physicists model its temperature by "the rate of temperature change in time equals a constant times the curvature in space": . Classify it, and state what data you must supply to solve it.
Forecast: "in time" and "curvature in space" — which single type describes spreading heat, and does it need data all around, or just a starting condition?
- Translate to standard form. , with as the two variables ( plays the role of ). Why this step? You must line the physics up with before reading coefficients.
- Coefficients. , , — and because the model has (first order in time) but no term to supply a coefficient. Why this step? "Rate of change in time" is a first derivative; assigning only makes sense once we notice no second time-derivative exists in the physics.
- Discriminant. parabolic. Why this step? The zero factor from the missing forces , the parabolic (diffusion) signature — matching the intuition that heat smooths rather than propagates as sharp fronts.
- State the data required. Parabolic problems need one initial condition (the starting temperature profile) plus boundary conditions at the rod's two ends (e.g. fixed end temperatures and ), and you then march forward in . You do not, and should not, prescribe data at a "final time" — that would be ill-posed. Contrast: a wave equation would additionally need the initial velocity , and an elliptic (Laplace) problem needs data on the whole closed boundary. (See Well-posedness and Boundary Conditions and Heat Equation — separation of variables.)
Verify: With : , parabolic — the correct, well-known character of diffusion (infinite signal speed but smoothing). "One initial condition + two boundary conditions, march forward in " is exactly the standard well-posed heat problem. ✔
A PDE contains a knob : (variables ; here is the coefficient, is the coefficient). Classify for , then examine the limit .
Forecast: what happens to the type as shrinks to zero — does it change identity?
- Coefficients. (from ), , (from ). The is first order, discarded. Why this step? We must identify the second-order coefficients before we can track the limit; only enter .
- Discriminant. . Why this step? Keeping symbolic lets us watch how the sign of behaves as the knob is turned toward zero, rather than losing that dependence too early.
- For : elliptic.
- Limit : the term vanishes, leaving , i.e. a heat equation. Now and parabolic. Why this step? A singular limit can change the order of the equation (the top time-derivative disappears), and thus its type — a favourite exam trap (a "singular perturbation").
Verify: : elliptic ✔. : still elliptic ✔. Exactly at : term disappears, parabolic ✔. The type does not approach parabolic smoothly — it snaps at the moment the top term dies. ✔
Active recall
Recall Cover and answer
Which cell had because a term was missing, giving ? ::: Cell C3 (heat-type), Ex. 3. Which example is parabolic even though ALL of are nonzero? ::: Ex. 6, where () and the principal part is a perfect square . In Ex. 4 the cross term overrode same-sign . What was ? ::: , hyperbolic. In the Tricomi Ex. 7, along which line is the type parabolic? ::: The line , where . For quasilinear , is it elliptic or hyperbolic where ? ::: Hyperbolic, since . Why can two conventions ( vs ) both be correct? ::: They always share the same sign; only the sign classifies. What must you check before ever using ? ::: That at least one of is nonzero — if all three are zero the equation is not second order. What data does a parabolic (heat) problem need? ::: One initial condition plus boundary conditions at each end, then march forward in time.
Negative = eNvelope of equilibrium → elliptic. Zero = one line smears → parabolic. Positive = Pair of wave lines → hyperbolic.