4.4.4 · D5Multivariable Calculus

Question bank — Clairaut's theorem — mixed partials are equal (under conditions)

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True or false — justify

Mixed partials and are always equal for every function.
False. They agree only when the mixed partials are continuous near the point; the origin counterexample gives .
If and both exist at a point, they must be equal there.
False. Mere existence is not enough — both exist in the counterexample yet differ. What forces equality is continuity of the mixed partials, not their existence.
If both mixed partials are continuous on an open disk, then everywhere on that disk.
True. Continuity is exactly Clairaut's hypothesis, and it holds at every point of the disk, so the conclusion holds pointwise throughout.
Clairaut's theorem is a statement of pure algebra with no hypotheses.
False. It is an analysis theorem whose whole content is the continuity condition; without it the equality can genuinely fail, so the hypothesis is not decorative.
measures how the -slope changes as you move in .
True. is the slope in the -direction; differentiating it with respect to measures how that slope twists as you shift in — this is the geometric "warping" (Picture 2) Clairaut compares in both orders.
If holds at a point, the function must be continuous there.
False. Equality of mixed partials at a point does not force full two-variable continuity of : partial derivatives (even equal ones) probe only along coordinate lines, while can still jump when approached from a diagonal direction.
For a polynomial like , order of differentiation never matters.
True. Polynomials have continuous partials of every order, so Clairaut applies at every point and every mixed partial is order-independent.
If is continuous but is only known to exist, we still get .
True (Schwarz's refined version). It suffices that exist near the point and one mixed partial is continuous there; the other then exists and equals it.
The Hessian matrix of a smooth function is always symmetric.
True. The Hessian's off-diagonal entries are and ; under Clairaut's continuity condition they are equal, making the Hessian Matrix symmetric — which is why its eigenvalues are real.

Spot the error

" means differentiate with respect to first because is written first."
Error. In Leibniz notation the operator nearest acts first, so this is -then-. The subscript form reads first left-to-right; the two notations run opposite directions.
"Since equals , we conclude immediately."
Error. The point is unknown and generally not ; only after does it squeeze toward , and only continuity lets its function value approach the value at .
"Clairaut lets me swap the order in for the counterexample function too, since exists."
Error. Existence at the origin doesn't grant swapping; the mixed partials there are discontinuous (Picture 3), so the hypothesis fails and .
"The proof uses the Mean Value Theorem (MVT) only once."
Error. Each order peels apart with two applications of the MVT — one in , one in — producing one way and the other; four interior points total.
"For I must differentiate strictly left to right or I get a different answer."
Error. Under continuity Clairaut lets you reorder the whole string; only the count of each variable matters, so .
"If is continuous everywhere, its mixed partials are automatically equal."
Error. Continuity of is far weaker than continuity of its second mixed partials. The counterexample function is itself continuous everywhere yet fails Clairaut at the origin.

Why questions

Why does the proof build the symmetric second difference rather than attacking and directly?
Because is visibly unchanged when the roles of and swap (see the symmetric corner-signs in Picture 1), so a single quantity can be shown to limit to one way and the other — the shared symmetry forces both limits to agree.
Why is continuity of the mixed partials the exact hinge of the theorem?
The Mean Value Theorem (MVT) hands us derivative values at unknown interior points ; continuity is the only thing that converts "value at a squeezing point" into "value at ," so removing it removes the conclusion.
Why does the geometric picture (the twist of a surface in Picture 2) make equality plausible before any algebra?
"How the -slope changes as you move in " and "how the -slope changes as you move in " both quantify the same local warping of the surface, so a smooth surface must report the same twist either way.
Why is the counterexample function specifically undefined-looking (a piecewise ) at the origin?
The rational formula is at the origin, so a separate value is set there; this seam (the pinch in Picture 3) is exactly where the second mixed partials lose continuity and the two orders diverge.
Why does Clairaut make computation easier in practice (the 80/20 payoff)?
Because either order gives the same result, you may choose the algebraically cleaner path — e.g. differentiate the simpler variable first — and trust the answer without redoing the hard order.
Why must the Hessian being symmetric be treated as a conclusion, not a definition?
Symmetry is earned from Clairaut's continuity hypothesis; for a non-smooth function the Hessian's off-diagonal entries can differ, so symmetry is a theorem, not a built-in property.

Edge cases

At a point where fails to exist, can we even ask whether ?
No. requires to exist in a neighbourhood before differentiating it in ; if is undefined nearby, the mixed partial isn't defined, so the equality question is void.
Take with held fixed first — does the proof still work?
No, the order of the double limit matters. The proof needs divided by with both steps genuinely nonzero; setting collapses to and destroys the second difference before any information is extracted.
For a function smooth except along a single crease (a line of non-differentiability), what happens to ?
On the crease the hypothesis fails, so equality may break there; away from the crease, where the partials are continuous, Clairaut still guarantees locally.
If a function has continuous first partials but discontinuous second partials at a point, is Clairaut guaranteed there?
No. First-partial continuity is too weak; Clairaut demands continuity of the second mixed partials at that point, which is precisely what's missing.
Does Clairaut extend to three or more variables, e.g. is ?
Yes, under the same continuity condition. Any pair of adjacent variables can be swapped when the relevant mixed partials are continuous, so any permutation of gives the same third-order partial.
What about the "degenerate" constant function — is the theorem vacuously true?
Trivially true. All partials are and continuous, so ; the theorem holds but carries no information — a useful sanity check that the hypotheses are satisfiable.

Recall One-line summary of every trap

The single fault line running through all of these is: existence of mixed partials is not continuity of them, and only continuity buys you the swap.