Worked examples — Area rule — Whitcomb's rule for transonic drag reduction
This page is the stress-test for the area rule. The parent note Area Rule gave you the machinery. Here we push it into every corner: smooth bodies, kinked bodies, degenerate (zero-length or zero-area) bodies, the perpendicular-cut case and the tilted Mach-plane case, and a real aircraft. If a scenario can happen, it is worked below.
Before we start, one reminder in plain words, because every example leans on it:
We will also need two quantities the parent note used but this page should recall in plain words, because Examples 4, 5 and 7 lean on them:
Recall Two quantities from the parent:
and Dynamic pressure ::: — the "push per unit area" the moving air carries, in . Here is the free-stream air density and the flight speed. Body volume ::: — literally the sum of all the slice-areas along the length, in . It is what the body must "make room for" in the air.
Everything below is one of these, or the master integral from the parent:
Written with dynamic pressure, the leading , since .
The scenario matrix
Think of "every scenario" this topic can throw at you as filling this grid. Each later example is tagged with the cell(s) it covers.
| Cell | What makes it distinct | Covered by |
|---|---|---|
| C1 Smooth body, positive curvature everywhere | textbook Sears–Haack, finite & smooth | Ex 1 |
| C2 Kink in (slope jump) | becomes a spike (impulse) → drag blows up | Ex 2 |
| C3 Superposition: fuselage + wing bump | the classic "Coke-bottle" fix, | Ex 3 |
| C4 Degenerate: zero volume / zero length | limiting inputs — does the formula stay sane? | Ex 4 |
| C5 Scaling limit: large at fixed | limiting behaviour of | Ex 5 |
| C6 Speed regime split: vs | perpendicular cut vs tilted Mach plane | Ex 6 |
| C7 Real-world word problem | YF-102 → F-102A, percentage drag drop | Ex 7 |
| C8 Exam twist: sign/units trap | why from the integral comes out positive despite the minus | Ex 8 |
Example 1 — C1: the smooth Sears–Haack slice (positive-curvature baseline)
Forecast: Guess before computing — is the maximum in the middle? Is closer to half of or much less?
Steps.
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Find the maximum. The bracket is a downward parabola in , peaking where is largest, i.e. . There , so . Why this step? The area rule wants a smooth, single-humped curve; the peak location tells you where to expect the widest fuselage, and it must sit mid-body for the Sears–Haack optimum.
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Evaluate . , and . So . Why this step? Shows the curve is not a triangle — at a quarter of the way in you're already at of peak area. Gentle, no kinks.
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Check the ends. At : , → . Same at . Nose and tail taper to a point. Why this step? This is our first taste of a degenerate input — the ends are legitimate cross-sections of zero area, and the formula handles them cleanly.
Verify: Units: in , the bracket is dimensionless, so is . Peak value matches exactly ✓. Symmetry: , so — a fore-aft symmetric body, as Sears–Haack should be ✓.
The figure below plots this area law. Look at the blue curve: it is the smooth, single hump the area rule prizes — no corners anywhere. The yellow dot marks the mid-body peak from step 1; the green dot is from step 2 (already two-thirds of the way up, not a straight-line ramp); the two red dots are the degenerate zero-area nose and tail from step 3. Read left to right and you are literally walking the ruler down the aircraft.

Example 2 — C2: a kink turns into a spike
Forecast: Guess — is merely "large" at the join, or is it infinite?
Steps.
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First derivative . For , (constant slope). For , . So jumps from down to at — a step. Why this step? is the rate the slice grows. A cone grows at constant rate; a cylinder not at all. The abrupt handover is the "kink."
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Second derivative . The derivative of a step is a Dirac impulse (a delta spike ). So : zero everywhere except an infinitely tall spike at the join. Why this step? The parent's chain says strong ⇒ strong shock ⇒ drag. An impulse is the most violent possible .
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Feed it to the drag integral. With , the double integral hits the kernel right at where . The self-correlation diverges — the linearized model literally predicts unbounded drag from a slope discontinuity. Why this step? This is the mathematical scream that says "never kink your area curve." Real air can't produce infinite drag, but it produces a strong shock, which is exactly what we want to avoid.
Verify: Sanity via smoothing. Round the corner over a small length : then ramps down over instead of jumping, so (large but finite). As , — confirming the delta limit and confirming drag grows without bound as the corner sharpens ✓. Units check: , dimensionless density, consistent with having units ✓.
The three stacked panels below tell the story top-to-bottom. Top (blue): ramps up then flattens — the yellow arrow points at the corner. Middle (green): its slope jumps abruptly from to (step 1). Bottom (red): the second derivative is zero everywhere except the tall red arrow — the delta spike of step 2. Trace one vertical line through all three panels at and you see how a barely-visible corner in becomes an infinite spike in .

Example 3 — C3: superposition, the Coke-bottle cancellation
Forecast: Guess — must the fuselage dip by exactly the wing bump, more, or less?
Steps.
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Write the total. . The area rule cares only about this sum, not the split. Why this step? This is the whole theorem in one line — two shapes with identical have identical slender-body wave drag.
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Demand smoothness. For no bump at the wing station, require there to equal the surrounding tube value : Why this step? The fuselage must shed exactly the wing's added area — a dip. Cancel the hump, cancel its curvature , cancel the drag it caused.
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Interpret the pinch. The fuselage cross-section drops from to , i.e. a area reduction at that station — the visible "wasp waist." Why this step? Ties the abstract cancellation to the physical Coke-bottle shape the parent note describes.
Verify: — flat across the wing region, so and there. No curvature spike, no wing-induced shock ✓. The fractional pinch matches the "~25–30% drag reduction" era numbers as an order of magnitude ✓.
Example 4 — C4: degenerate inputs (zero volume, zero length)
Forecast: Guess — which degenerate case gives zero drag and which blows up?
Steps.
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Where does the come from? It is not magic — it is what you get after doing the calculus-of-variations minimization the parent flagged. Feed the Sears–Haack area law into the von Kármán–Sears double integral and evaluate it. Two pieces combine: (i) the volume of that specific shape works out to , so ; (ii) the integral for this smooth curve evaluates to a pure number times . Substituting in terms of and collecting the leading leaves exactly . So is the fingerprint of this optimal shape, nothing more. Why this step? Learners should see the constant is earned by the minimization, not handed down; every other body gives a bigger number in front of .
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Zero-volume body (). Then . Why this step? A body of zero volume is a needle/streamline with no cross-section to shove air around. No displaced volume ⇒ no source strength ⇒ no waves ⇒ no wave drag. The formula agrees.
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Vanishing length (, fixed). . Why this step? Cramming a fixed volume into zero length forces the area to spike over a tiny distance — enormous . The formula correctly predicts unbounded wave drag: you cannot make a fat body infinitely short and stay slender.
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Boundary of validity. Case (b) is exactly where slender-body theory dies: it assumed thickness length. The growth is the theory politely blowing up at its own edge. Why this step? Every model has a domain; naming it is part of "covering every scenario."
Verify: Dimensional check on : , , , so — a force ✓. Monotonic: increases as up or down, both physically correct ✓.
Example 5 — C5: the length-scaling limit
Forecast: Guess the drag ratio for the length case, and whether the target needs roughly a , , or longer body.
Steps.
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Double-length drag ratio. . Why this step? with fixed leaves only the factor. Doubling length ⇒ -fold drop.
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Solve for the target. Want , so , giving . Why this step? Shows the steep payoff and its limit: slenderness buys huge drag cuts, but the fourth-power means you need only ~ length for a drag cut — geometry rewards length dramatically.
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Reading the limit. As at fixed , : the ideal slender needle. Real limits (weight, structure, friction) stop you, but wave drag alone vanishes. Why this step? Names the limiting behaviour cell explicitly.
Verify: ⇒ ratio ✓. ⇒ drag ratio ✓. Both consistent with .
Example 6 — C6: perpendicular cut vs tilted Mach-plane cut
Forecast: Guess at — bigger or smaller than ? And does the tilt make the equivalent body look longer or shorter in ?
Steps.
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Why an angle at all? In Transonic flow at , disturbances spread nearly straight sideways, so the "footprint" a wave feels is the ordinary perpendicular cross-section. Above , every disturbance is swept back into a Mach cone; the plane the wave actually "sees" is tilted. Why this step? Justifies switching tools — we don't change the physics, we change the cutting plane to match how signals propagate.
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Compute at . . Why this step? answers "which angle has this sine?" Here , and the angle with sine is . Smaller than , so at higher the cone is narrower and the cut is more tilted toward the flow direction.
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Effect on the area law. Tilting the cut and averaging over roll angle stretches and smears the area contributions along (a station's area gets projected forward/back). The equivalent body is longer and its area curve smoother — which is why supersonic designs are area-ruled for a chosen Mach number, not just . Why this step? Connects the geometric tilt to a different , hence different — the whole reason for a separate supersonic rule.
Verify: gives — the Mach plane becomes perpendicular, smoothly recovering case (a) ✓. gives — the cone flattens onto the axis ✓. At , ✓.
The curve below plots the Mach angle against Mach number . Follow the blue curve from the left: near it starts up at (the green arrow) — that is the perpendicular cut of case (a), so the transonic rule is just the supersonic rule's endpoint. The yellow dot marks our answer at , sitting below the red dashed line, confirming the cone narrows as you fly faster. Reading further right, keeps dropping toward , the hypersonic limit where disturbances lie almost along the axis.

Example 7 — C7: real-world word problem (YF-102 → F-102A)
Forecast: Guess — is the total drag drop bigger or smaller than , and why?
Steps.
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New wave drag. Remove : . Why this step? Area ruling attacks only the wave-drag piece (parent mistake #3), so we scale just that term and leave the rest alone.
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New total. Friction+induced is untouched at . So . Why this step? Drag breakdown is additive; you only edited the one component that area ruling touches, then re-add the parts it cannot touch.
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Percentage total drop. . Why this step? Shows the real-world lesson: a wave-drag cut becomes a smaller total cut because friction and induced drag ride along unchanged — yet was still enough to push the F-102A past Mach 1 when the un-ruled YF-102 could not.
Verify: ✓; ✓; ✓. The total drop () is less than the wave-drag drop () exactly because wave drag is only of the total, and ✓.
Example 8 — C8: exam twist — why the minus sign gives positive drag
Forecast: Guess — do stations closer together or farther apart contribute more drag through the kernel?
Steps.
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Handle the sign of . For (measuring separation in the body's own length units), . Multiply by the leading minus and you get a positive contribution from those close-station pairs. Why this step? The scary minus sign is doing bookkeeping, not producing thrust; combined with the negative log it yields as physics demands.
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Probe with two curvature impulses. Model as two spikes; the kernel value is . At separation : weight . At : weight . Since , the case has a smaller weight. Why this step? It shows spreading the curvature out (bigger separation) lowers drag — the mathematical reason smooth, gently varying wins, and abrupt back-to-back area changes lose.
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Tie to design. Closely bunched area changes (a kink, or wing area piled where the fuselage is already fat) correlate strongly through the log kernel ⇒ high drag; a body that spreads its area changes over its whole length minimizes the self-correlation. Why this step? Recovers the area-rule design principle straight from the integral's sign structure.
Verify: ; so relative to separation , doubling to subtracts from the (positive-drag) weight — less drag at wider spacing ✓. Sign check: with and typical negative over the interacting region, , so ✓.
Recall Did every cell get covered?
C1 Ex1 ::: smooth Sears–Haack baseline C2 Ex2 ::: kink → delta-spike C3 Ex3 ::: fuselage+wing superposition (Coke-bottle) C4 Ex4 ::: zero-volume and zero-length degenerates, plus origin of the prefactor C5 Ex5 ::: scaling limit C6 Ex6 ::: perpendicular vs Mach-plane cut, C7 Ex7 ::: real F-102A drag-count word problem C8 Ex8 ::: sign/units exam twist