WHAT: At y=0, u=0.
WHY: A real fluid has viscosity, so the layer of fluid touching the wall cannot slide over it — it moves with the wall. A stationary wall therefore has u(0)=0. This is the no-slip condition.
Answer:u(0)=0, forced by the no-slip condition.
Recall Solution 1.2
Order:θ<δ∗<δ.
WHY θ is smallest: its integrand Uu(1−Uu) is the product of two fractions each between 0 and 1, so it is smaller everywhere than the single fraction (1−Uu) that builds δ∗. A smaller integrand gives a smaller integral.
Recall Solution 1.3
Integrate only 0→δ. WHY: beyond δ the fluid moves at free-stream speed, u=U, so 1−Uu=0 and Uu(1−Uu)=0. The integrand vanishes, contributing nothing — the ∞ is bookkeeping for "wherever the deficit lives."
WHAT: substitute Uu=δy into δ∗=∫0δ(1−Uu)dy.
WHY substitute:δ∗ counts the fractional velocity deficit1−u/U stacked up over height; to add it up we need that deficit written as a function of y, which the profile hands us.
δ∗=∫0δ(1−δy)dy=[y−2δy2]0δ=δ−2δ=2δWHY it comes out δ/2: the deficit 1−y/δ falls straight from 1 (full deficit at the wall) to 0 (no deficit at the edge). The area under a straight line from 1 to 0 over a base δ is a triangle — exactly half the box, hence δ/2.
Answer:δ∗=2δ=0.5δ.
Recall Solution 2.2
WHY the integrand changes: momentum deficit weights the velocity gap (1−u/U) by how much mass is actually moving there, u/U — so we multiply the two, giving δy(1−δy).
θ=∫0δδy(1−δy)dy=∫0δ(δy−δ2y2)dy=2δ−3δ=6δWHY θ<δ∗ here: the extra factor y/δ is a fraction ≤1, so it shrinks the deficit everywhere — the integral must come out smaller (δ/6<δ/2), consistent with Exercise 1.2.
H=θδ∗=δ/6δ/2=3Answer:θ=6δ, H=3.
Recall Solution 2.3
WHY Rex first: the Blasius law δ=5x/Rex needs Rex, and Rex measures how strongly inertia (Ux) beats viscous diffusion (ν) — a big value means a thin layer.
Rex=νUx=1.5×10−530×0.5=1.5×10−515=106WHY plug into the Blasius law: it is the exact laminar flat-plate result; Rex=106=1000 is the shrink factor.
δ=Rex5x=10005×0.5=10002.5=2.5×10−3m=2.5mmAnswer:Rex=106, δ=2.5mm.
WHY sine? It satisfies u=0 at the wall and u=U at y=δ smoothly (its slope flattens at the edge) — a realistic stand-in for the true profile, unlike the kinked linear one.
WHY integrate the sine:δ∗ still sums the deficit 1−u/U; we just have a curved deficit now, so we need the antiderivative of sin.
δ∗=∫0δ(1−sin2δπy)dy=δ−[−π2δcos2δπy]0δWHY the 2δ/π factor: the chain rule on cos(2δπy) brings out 2δπ, so its reciprocal π2δ appears when we antidifferentiate.
The cosine term: at y=δ, cos2π=0; at y=0, cos0=1. So the bracket is −π2δ(0−1)=π2δ.
δ∗=δ−π2δ=δ(1−π2)≈0.3634δAnswer:δ∗=δ(1−π2)≈0.363δ.
Recall Solution 3.2
WHY split into two integrals: expanding sin(1−sin)=sin−sin2 separates a piece we already know (∫sin) from a new one (∫sin2), so each can be handled with a known result.
θ=∫0δsin2δπy(1−sin2δπy)dy==2δ/π∫0δsin2δπydy−=δ/2∫0δsin22δπydyWHY the identity is needed:sin2 has no elementary antiderivative on its own, so we rewrite it with sin2ϕ=21−cos2ϕ, whose average over this quarter-period is 21, giving δ/2.
θ=π2δ−2δ=δ(π2−21)≈0.1366δH=θδ∗=0.13660.3634≈2.66WHY compare to 2.59:H is a shape fingerprint independent of δ; the sine's 2.66 landing near the exact Blasius 2.59 is evidence the sine mimics the real profile well.
Answer:θ≈0.137δ, H≈2.66 — very close to the true Blasius 2.59, which is why the sine profile is a good approximation.
Recall Solution 3.3
WHY check the ends first: a candidate profile is only physical if it starts at no-slip (u=0) and meets the free stream (u=U) — otherwise the deficit integrals are meaningless.
Check ends. At y=0: u/U=0 ✓ (no-slip). At y=δ: u/U=2−1=1 ✓.
WHY the substitution η=y/δ: it turns a δ-cluttered integral into a clean number-integral from 0 to 1, and pulls one factor of δ out front (from dy=δdη) — so the answer must be a pure fraction times δ.
δ∗=δ∫01(1−2η+η2)dη=δ[η−η2+3η3]01=δ(1−1+31)=3δAnswer:δ∗=3δ≈0.333δ.
WHY expand the product:θ needs Uu(1−Uu), and with u/U=2η−η2 this is a polynomial — multiplying it out gives terms we can integrate one power at a time.
With η=y/δ and u/U=2η−η2:
(2η−η2)(1−2η+η2)=2η−5η2+4η3−η4θ=δ∫01(2η−5η2+4η3−η4)dη=δ[η2−35η3+η4−5η5]01WHY collect over 15: the denominators 1,3,1,5 share least common multiple 15, so a common denominator makes the sum exact rather than decimal-rounded.
=δ(1−35+1−51)=δ⋅1515−25+15−3=152δH=θδ∗=2δ/15δ/3=615=2.5WHY H=2.5 makes sense: the parabola is "fuller" than the linear line, so it slows less fluid — a smaller shape factor than the linear H=3, exactly as the opening figure predicted.
Answer:θ=152δ≈0.133δ, H=2.5.
Recall Solution 4.2
Values: linear H=3.00; sine H≈2.66; parabolic H=2.50. True Blasius H≈2.59.
WHY H is the right yardstick: it strips away δ and captures only the shape of the deficit, so comparing models to Blasius' 2.59 is a fair, size-independent test.
Ranking (closest to Blasius first): sine (2.66) ≈ parabolic (2.50) > linear (3.00).
Worst model: the linear profile, H=3.00, is farthest from 2.59. WHY: a straight line has a sharp kink at y=δ (nonzero slope meeting the flat free stream) and constant shear — real profiles curve over and flatten smoothly. Sine and parabola both flatten near δ, matching reality better.
Recall Solution 4.3
WHY reuse δ∗=δ/2, θ=δ/6: those ratios came purely from the shape of the linear profile, so they hold at every x — we just feed in the x-dependent δ.
From Exercise 2.1–2.2: δ∗=δ/2, θ=δ/6. So
δ∗=21⋅Rex5x=Rex2.5x,θ=61⋅Rex5x=Rex0.8333xWHY the numbers follow instantly: at x=0.5 we already found δ=2.5mm (Exercise 2.3), so halving and sixthing it is all that remains.
At x=0.5: Rex=106, δ=2.5mm.
δ∗=22.5=1.25mm,θ=62.5=0.4167mmAnswer:δ∗=1.25mm, θ≈0.417mm (confirming θ<δ∗<δ).
WHY do it in η: with η=y/δ the profile is just η1/n and every integral runs 0→1, so we get formulas valid for alln in one stroke — a synthesis of every earlier special case.
δδ∗=∫01(1−η1/n)dη=1−n1+11=1−n+1n=n+11WHY the power-rule step:∫01η1/ndη=n1+11=n+1n; subtracting from 1 leaves n+11.
δθ=∫01η1/n(1−η1/n)dη=∫01(η1/n−η2/n)dη=n+1n−n+2n=(n+1)(n+2)nWHY the extra η2/n term: squaring η1/n doubles the exponent, giving the second integral n+2n; the difference collapses to a single fraction.
Shape factor:H=θ/δδ∗/δ=n/[(n+1)(n+2)]1/(n+1)=nn+2.
For n=7:δδ∗=81=0.125,δθ=8⋅97=727≈0.0972,H=79≈1.286WHY H≈1.29 is "fuller": large n makes η1/n shoot up fast near the wall — most fluid is already near U, tiny deficit, so H sits far below the laminar values.
Answer:δ∗=δ/(n+1), θ=(n+1)(n+2)nδ, H=nn+2; at n=7: δ∗=0.125δ, θ≈0.0972δ, H≈1.29.
Recall Solution 5.2
WHY take the limit: pushing a parameter to an extreme is the cheapest way to test whether a formula is physically sane — if it breaks here, it is wrong.
As n→∞, η1/n→1 for every η>0: the fluid is at full speed U everywhere except an infinitely thin sliver at the wall — a plug (slug) profile.
δδ∗=n+11→0,δθ=(n+1)(n+2)n→0,H=nn+2→1Physical sense: with almost no slowed fluid there is almost no mass or momentum deficit, so δ∗→0 and θ→0. And H→1 is the theoretical minimum shape factor — the flow is as "full" as possible, the opposite extreme from separation. ✓
Recall Solution 5.3
WHY compare integrands, not integrals: if one integrand is ≤ the other at every height, the integral inherits the inequality — this is the cleanest way to prove an ordering without computing either integral.
Write both as integrals with the same dy and let f=Uu, which satisfies 0≤f≤1:
δ∗=∫0∞(1−f)dy,θ=∫0∞f(1−f)dyWHY the pointwise bound holds: since 0≤f≤1, the factor (1−f)≥0, and multiplying a non-negative number by f≤1 can only shrink (or hold) it:
f(1−f)≤1⋅(1−f)=(1−f)
As this holds at every height y, integrating preserves the inequality:
θ=∫f(1−f)dy≤∫(1−f)dy=δ∗
Hence θ≤δ∗, i.e. H=δ∗/θ≥1 always. Combined with δ∗<δ (the deficit slab is thinner than the whole layer), we recover θ<δ∗<δ. ■
Recall One-line self-test summary
Linear H=3 ::: parabolic H=2.5 ::: sine H≈2.66 ::: Blasius H≈2.59 ::: 71-power H≈1.29 ::: and always H≥1.