3.2.32 · D3 · Physics › Orbital Mechanics & Astrodynamics › Three-body problem — restricted (CR3BP), characteristic equa
Intuition Yeh page kis kaam ki hai
Parent note ne machinery banayi thi: pseudopotential U , Lagrange points, aur characteristic equation
λ 4 + ( 4 − U xx − U y y ) λ 2 + ( U xx U y y − U x y 2 ) = 0.
Yahaan hum ise use karte hain jab tak kuch bhi surprise na kar sake. Hum har tarah ke input se guzarte hain jo theory de sakti hai: dono families of Lagrange points, mass parameter μ ki poori allowed range, degenerate boundary case, do limiting behaviours (μ → 0 aur μ → 2 1 ), aur do real-world word problems. Compute karne se pehle guess karo — isi se reflex banta hai.
Shuru karne se pehle, chaar symbols ko re-anchor karte hain taaki kuch bhi unearned na lage.
ω aur "units jahan ω = 1 ", plain words mein
Dono primaries apne common centre ke around ek baar orbit karte hain har orbital period T orb mein. Unka angular rate — yaani kitne radians of angle wo har second sweep karte hain — hai
ω = T orb 2 π ( radians per second ) .
Hum apni clock choose karne ke liye free hain taaki ω = 1 ho: dimensionless time ka ek "tick" utne waqt ke barabar hai jitne mein primaries apni orbit ka ek radian sweep karein (roughly T orb /2 π seconds — e.g. Sun–Earth system ke liye ≈ 58 din). Yeh standard CR3BP time-normalisation hai; ab se "ek time unit" ka matlab hamesha hai "orbital angle ka ek radian," aur har λ , ω , growth rate usi clock par measured hai.
( ξ , η ) aur e λ t , plain words mein
Ek Lagrange point ( x 0 , y 0 ) par baitha hai. Us se thoda nudge karo little body ko; uski displacement likho
ξ = x − x 0 , η = y − y 0 .
Toh ξ , η sirf balance point se chhote offsets hain. Hum har offset ko trial motion ξ ∝ e λ t se test karte hain: time mein ek exponential jiska exponent λ fate batata hai — agar λ ek real positive number hai toh offset badhta hai (runaway), agar λ purely imaginary hai toh offset oscillate karta hai (bounded rehta hai). Allowed λ ke liye solve karna hi characteristic equation hai.
Definition Mass parameter
μ , plain words mein
Do bade bodies (the primaries ) ki masses m 1 ≥ m 2 hain. Mass parameter simply woh fraction hai jo chhoti primary total mass mein contribute karti hai:
μ = m 1 + m 2 m 2 , 0 < μ ≤ 2 1 .
Jab μ chhota hota hai toh doosra body ek mere speck hai (Sun–Jupiter: μ ≈ 0.00095 ); jab μ = 2 1 toh dono bodies equal twins hain. Is page ke har example mein basically yahi hai: "ek μ chuno, fate padho," toh yeh ek hi number sab kuch drive karta hai.
Definition Teen second-derivatives, plain words mein
Pseudopotential U ( x , y ) ko rotating plane ke upar height ke landscape ki tarah imagine karo. Ek Lagrange point par zameen flat hai (slope zero). Uski shape jaanane ke liye hume curvatures chahiye:
U xx = zameen kitni curve karti hai jab tum x (Sun–Earth line) direction mein chalte ho. Positive = us taraf valley-shaped; negative = ridge-shaped.
U y y = wahi curvature y direction mein.
U x y = "twist" — x -slope kitna badalta hai jab tum sideways y mein step karo. Zero hota hai jab landscape point par x -axis ke baare mein symmetric ho.
Yeh teen numbers characteristic equation ka poora input hain. Neeche sab kuch hai: woh teen numbers dhundho, feed karo, fate padho.
Neeche har worked example us cell ke saath tagged hai jo woh fill karta hai.
Cell
Case class
Distinguishing feature
Example
A
Collinear points L 1 , L 2 , L 3 , generic μ
U x y = 0 , c < 0 → saddle (TEENO)
Ex 1 (+ note on L 2 , L 3 ), Ex 8 (L 2 )
B
Triangular point, small μ
c > 0 , b 2 − 4 c > 0 → stable
Ex 2
C
Triangular point, large μ
b 2 − 4 c < 0 → unstable
Ex 3
D
Degenerate boundary μ = μ crit
b 2 − 4 c = 0 (repeated root)
Ex 4
E
Limit μ → 0
ek primary vanish ho jaati hai
Ex 5
F
Limit μ → 2 1
equal masses, most unstable triangular
Ex 6
G
Real-world word problem
ek real system chuno, fate decide karo
Ex 7 (Sun–Jupiter)
H
Exam twist / trap
growth rate recover karo, sirf sign nahi
Ex 8 (L 2 )
Intuition Kyun teeno collinear points cell A share karte hain
L 1 , L 2 , L 3 teeno x -axis (primary line) par hain, isliye up–down symmetry se twist U x y = 0 unme se har ek par. Aur unme se har ek par potential line ke along upar curve karta hai (U xx > 0 ) lekin across neeche curve karta hai (U y y < 0 ) — ek saddle. Isliye c = U xx U y y < 0 teeno ke liye, har baar ek real positive λ deta hai: L 1 , L 2 , L 3 hamesha unstable hain, μ chahe kuch bhi ho. Hum L 1 ko Ex 1 mein aur L 2 ko Ex 8 mein karte hain; L 3 identically behave karta hai (sirf numbers badlenge), isliye yahan state kar rahe hain arithmetic repeat karne ke bajaye.
Triangular curvatures geometry se fix hain (parent note): L 4 , L 5 par
U xx = 4 3 , U y y = 4 9 , U x y = ± 4 3 3 ( 1 − 2 μ ) .
Isliye SABHI triangular examples ke liye: b = 4 − 4 3 − 4 9 = 1 , aur
c = 4 3 ⋅ 4 9 − 16 27 ( 1 − 2 μ ) 2 = 16 27 [ 1 − ( 1 − 2 μ ) 2 ] = 16 27 ⋅ 4 μ ( 1 − μ ) = 4 27 μ ( 1 − μ ) .
Aur stability discriminant hai b 2 − 4 c = 1 − 27 μ ( 1 − μ ) , jo parent ki condition hai. Yeh do baatein dhyan mein rakho; triangular examples sab ek hi formula hain alag-alag μ ke saath.
Neeche wali figure is poori page ka map hai: iska horizontal axis mass parameter μ hai (0 se 2 1 tak, dimensionless), aur vertical axis stability discriminant 1 − 27 μ ( 1 − μ ) hai (yeh bhi dimensionless — ek pure number). Jahan yellow curve zero ke upar hai (blue shading) triangular points stable hain; zero ke neeche (pink shading) unstable hain. Pink dotted line critical mass μ crit mark karti hai jahan curve zero cross karta hai, aur har coloured dot ek worked example ka μ mark karta hai taaki compute karne se pehle tum dekh sako kahan har case basta hai.
Figure s01 — Saare μ mein Triangular-point stability: discriminant curve, stable/unstable shading, μ crit , aur marked example cases.
Worked example Ex 1 — Cell A · Collinear point
L 1 (Earth–Moon), ek saddle
Statement. Earth–Moon L 1 ke liye parent note quote karta hai U xx ≈ + 11.3 , U y y ≈ − 4.2 , aur U x y = 0 (collinear points symmetry axis par baithe hain). Equilibrium classify karo aur ek growth rate λ dhundho.
Forecast: U y y negative hai — landscape y direction mein ek ridge hai. Guess: unstable. Lekin kitna unstable — kis size ka real λ ?
Compute c = U xx U y y − U x y 2 = ( 11.3 ) ( − 4.2 ) − 0 = − 47.46 .
Yeh step kyun? c do Λ -roots ka product hai; sirf iska sign saddle vs centre decide karta hai.
c < 0 hai, toh roots Λ ± ke signs opposite hain. Compute b = 4 − 11.3 − ( − 4.2 ) = − 3.1 .
Yeh step kyun? Quadratic solve karne aur actual positive Λ nikalane ke liye b chahiye.
Solve Λ 2 − 3.1 Λ − 47.46 = 0 : Λ = 2 3.1 ± 3. 1 2 + 4 ( 47.46 ) = 2 3.1 ± 199.45 .
199.45 = 14.123 , toh Λ + = 8.611 , Λ − = − 5.511 .
Yeh step kyun? Positive root real exponential deta hai; negative wala oscillation deta hai.
Growth rate λ = Λ + = 8.611 = 2.935 (ω = 1 clock par jo upar define ki — toh λ orbital angle ke per radian measure hua hai).
Yeh step kyun? Small offset ξ ∝ e λ t follow karta hai (yaad karo ξ L 1 se tiny displacement hai). λ = 2.935 ke saath, ek time unit ke baad — Earth–Moon orbit ka ek radian — nudge e 2.935 ≈ 18.8 × badhta hai. Yahi relentless amplification kyun hai ki L 1 ko active station-keeping chahiye.
Verify: Roots ka product Λ + Λ − = 8.611 × ( − 5.511 ) = − 47.46 = c . ✓ Sum = 8.611 − 5.511 = 3.1 = − b . ✓ Opposite signs saddle confirm karte hain.
Worked example Ex 2 — Cell B · Triangular
L 4 (Earth–Moon), stable
Statement. Earth–Moon μ = 0.0123 . L 4 classify karo aur do oscillation frequencies do.
Forecast: L 4 U ka ek maximum hai (ek hilltop). Naively "balls roll off hilltops" ⇒ unstable. Lekin Coriolis small-μ triangular points ko bachata hai. μ = 0.0123 ke saath jo 0.0385 se kaafi neeche hai, guess: stable , do distinct real oscillation frequencies.
b = 1 (hamesha, triangular ke liye). Compute c = 4 27 μ ( 1 − μ ) = 4 27 ( 0.0123 ) ( 0.9877 ) = 0.08202 .
Yeh step kyun? c > 0 pehla stability gate hai; yahaan pass karta hai.
Discriminant b 2 − 4 c = 1 − 4 ( 0.08202 ) = 1 − 0.32808 = 0.67192 > 0 .
Yeh step kyun? 1 − 27 μ ( 1 − μ ) ke equivalent; positive ⇒ dono Λ real. c > 0 , b > 0 ke saath ⇒ dono negative ⇒ stable.
Roots: Λ ± = 2 − 1 ± 0.67192 = 2 − 1 ± 0.81971 , giving Λ + = − 0.09015 , Λ − = − 0.90985 .
Yeh step kyun? Dono negative pure imaginary λ confirm karta hai.
Frequencies ω 1 , 2 = − Λ ± : ω 1 = 0.09015 = 0.3003 (long-period libration), ω 2 = 0.90985 = 0.9539 (short-period). Yeh usi ω = 1 clock par measured hain, toh ω 2 ≈ 0.95 matlab fast wobble almost utni hi quick hai jitni ek orbital radian.
Yeh step kyun? Yeh woh do libration frequencies hain jis par real Trojan-like bodies wobble karte hain.
Verify: Λ + Λ − = ( − 0.09015 ) ( − 0.90985 ) = 0.08202 = c . ✓ Sum = − 1 = − b . ✓ Dono negative ⇒ stable, parent ke Ex 2 se match (27 μ ( 1 − μ ) = 0.328 < 1 ).
Worked example Ex 3 — Cell C · Triangular point, mass just over critical → unstable
Statement. Ek hypothetical binary mein μ = 0.05 hai (above μ crit ≈ 0.03852 ). L 4 classify karo.
Forecast: μ critical value se zyada hai, toh guess: discriminant flip hoga negative → complex Λ → unstable (spiralling growth).
c = 4 27 ( 0.05 ) ( 0.95 ) = 0.320625 ; b = 1 .
Yeh step kyun? Λ mein quadratic set up karo.
Discriminant b 2 − 4 c = 1 − 1.2825 = − 0.2825 < 0 .
Yeh step kyun? Negative discriminant ⇒ Λ complex conjugates hain, real nahi. Tab λ = Λ ka nonzero real part hoga ⇒ growth.
Complex roots Λ = 2 − 1 ± i 0.2825 = − 0.5 ± 0.26575 i .
Growing direction hamesha kyun hoti hai? Ek complex Λ ko polar form mein likho Λ = R e i θ jahan R > 0 aur angle − π < θ < π ho. Iske do square roots hain λ = ± R e i θ /2 . Unke real parts hain ± R cos ( θ /2 ) , aur − 2 π < θ /2 < 2 π hone se cos ( θ /2 ) > 0 — toh ek root ka real part strictly positive hota hai jab bhi θ = 0 (yaani jab bhi Λ real nahi hai). Yahi positive real part exponential growth hai. Yeh oscillatory instability hai: body spiral karke bahar jaati hai, collinear points ke pure exponential saddle se alag.
Verify: discriminant sign check: 27 μ ( 1 − μ ) = 27 ( 0.05 ) ( 0.95 ) = 1.2825 > 1 , toh 1 − 27 μ ( 1 − μ ) = − 0.2825 < 0 . ✓ Unstable confirmed.
Worked example Ex 4 — Cell D · Degenerate boundary
μ = μ crit
Statement. Exactly μ crit = 2 1 ( 1 − 23/27 ) par discriminant zero hai. μ crit numerically dhundho aur (repeated) root Λ nikalo.
Forecast: Stable aur unstable ke beech boundary — expect karo ek repeated real root, marginal case. Guess μ crit ≈ 0.0385 .
Solve 1 − 27 μ ( 1 − μ ) = 0 , i.e. 27 μ 2 − 27 μ + 1 = 0 . Tab μ = 2 ⋅ 27 27 − 2 7 2 − 4 ⋅ 27 = 54 27 − 621 .
Yeh step kyun? Stability discriminant, zero set karke, μ mein ek plain quadratic hai.
621 = 24.9199 , toh μ crit = 54 27 − 24.9199 = 54 2.0801 = 0.038520 .
Yeh step kyun? Parent ka 0.03852 confirm karta hai aur algebraic form 2 1 ( 1 − 23/27 ) identical dikhata hai (kyunki 621 = 2 7 2 − 108 aur 23/27 = 621/729 ).
Boundary par b 2 − 4 c = 0 , toh Λ = − b /2 = − 1/2 (double root). Tab λ = ± i / 2 (repeated).
Yeh step kyun? Ek repeated imaginary pair matlab do libration frequencies merge ho jaate hain; is μ se aage wo complex pair mein split ho jaate hain aur destabilise karte hain. Yeh coalescence stability boundary ka mathematical signature hai.
Verify: 2 1 ( 1 − 23/27 ) = 2 1 ( 1 − 0.922958 ) = 0.038521 . ✓ step 2 se match karta hai. Aur 27 μ crit ( 1 − μ crit ) = 1 . ✓
Worked example Ex 5 — Cell E · Limit
μ → 0 (second primary vanish ho jaati hai)
Statement. μ → 0 + hone do. c ka aur triangular-point stability ka kya hoga? Physically interpret karo.
Forecast: m 2 → 0 ke saath hum (almost) two-body / one-body situation mein wapas hain. Guess: L 4 marginally, phir trivially stable ho jaata hai; libration frequencies 0 aur 1 approach karti hain.
c = 4 27 μ ( 1 − μ ) → 0 as μ → 0 .
Yeh step kyun? c roots ka product hai; agar yeh → 0 hai, toh ek root Λ → 0 .
b = 1 aur c → 0 ke saath: roots Λ + → 0 aur Λ − → − 1 . Frequencies ω 1 = − Λ + → 0 , ω 2 = − Λ − → 1 .
Yeh step kyun? ω 2 → 1 orbital frequency hi hai (ω = 1 clock par) — tiny body akele primary ke around mean motion par orbit karta hai. ω 1 → 0 matlab long-period libration infinitely slow ho jaati hai (doosra mass hold karne ke liye nahi hai).
Discriminant 1 − 27 μ ( 1 − μ ) → 1 > 0 : stable region ke andar deeply.
Yeh step kyun? Confirm karta hai ki tiny secondary wale har real planetary system mein stable Trojans hote hain.
Verify: μ = 0 par, c = 0 , roots 0 aur − 1 ; ω 2 = 1 = ω (orbital rate). ✓
Worked example Ex 6 — Cell F · Limit
μ → 2 1 (equal masses)
Statement. Equal-mass binary, μ = 0.5 . L 4 classify karo aur complex Λ dhundho.
Forecast: Do equal stars — sabse symmetric, aur (0.5 > μ crit hone se) most unstable triangular case. Guess: strongly complex Λ .
c = 4 27 ( 0.5 ) ( 0.5 ) = 16 27 = 1.6875 ; b = 1 .
Yeh step kyun? c yahaan maximum possible hai, kyunki μ ( 1 − μ ) μ = 2 1 par peak karta hai.
Discriminant 1 − 4 ( 1.6875 ) = 1 − 6.75 = − 5.75 < 0 ⇒ complex conjugate Λ .
Yeh step kyun? Strong oscillatory instability confirm karta hai; note karo U x y = 4 3 3 ( 1 − 2 μ ) = 0 yahaan, toh twist vanish ho jaata hai phir bhi instability rehti hai — instability twist term ke baare mein nahi hai.
Λ = 2 − 1 ± i 5.75 = − 0.5 ± 1.19896 i .
Yeh step kyun? λ = Λ mein nonzero real part ⇒ runaway (Ex 3 ke polar-form argument se). Equal-mass binaries mein koi stable Trojan points nahi hote.
Verify: ∣ Λ ∣ = 0. 5 2 + 1.1989 6 2 = 0.25 + 1.4375 = 1.6875 = c . ✓ (ek conjugate pair ka product = ∣Λ ∣ 2 = c = 1.6875 .)
Worked example Ex 7 — Cell G · Real-world word problem: Sun–Jupiter Trojans
Statement. Jupiter Sun ki mass ka 9.55 × 1 0 − 4 hai. Real asteroids (Trojans ) L 4 , L 5 par baithe hain. Dikhao ki theory unhe allow karta hai aur do libration periods nikalo (Jupiter ke orbital period ke units mein).
Forecast: μ ≈ 0.00095 ≪ 0.0385 , toh stable — observation se match karta hai. Expect karo ek bahut long-period aur ek nearly-orbital-period libration.
μ = 1 + 9.55 × 1 0 − 4 9.55 × 1 0 − 4 = 9.541 × 1 0 − 4 .
Yeh step kyun? Mass ratio ko mass parameter μ = m 2 / ( m 1 + m 2 ) mein convert karo.
c = 4 27 μ ( 1 − μ ) = 4 27 ( 9.541 × 1 0 − 4 ) ( 0.99905 ) = 6.4327 × 1 0 − 3 ; b = 1 .
Yeh step kyun? Tiny c ⇒ ek root near 0 , ek near − 1 .
Roots Λ ± = 2 − 1 ± 1 − 4 c = 2 − 1 ± 0.974269 . 0.974269 = 0.987051 . Toh Λ + = − 0.0064746 , Λ − = − 0.993525 .
Yeh step kyun? Dono negative ⇒ stable; frequencies mein feed karo.
Frequencies ω 1 = − Λ + = 0.0064746 = 0.080465 , ω 2 = − Λ − = 0.993525 = 0.996757 (ω = 1 clock par).
Yeh step kyun? Yeh do libration rates hain; ab periods mein convert karo.
ω = 1 clock par primaries ka orbital period T orb = 2 π / ω = 2 π hai. Ek libration period T = 2 π / ω i hai, toh orbital period se uska ratio T / T orb = ω / ω i = 1/ ω i hai. Isliye long-period libration 1/ ω 1 = 1/0.080465 = 12.43 Jupiter orbits chalta hai, aur short wala 1/ ω 2 = 1/0.996757 = 1.003 Jupiter orbits.
Yeh step kyun? ~12.4-orbit wali long libration real Trojans ki observed slow "tadpole" wobble se match karti hai.
Verify: Λ + Λ − = ( − 0.0064746 ) ( − 0.993525 ) = 6.4327 × 1 0 − 3 = c . ✓ Dono roots negative ⇒ stable, μ ≪ μ crit . ✓ Long-period ratio 1/ ω 1 ≈ 12.43 . ✓
Worked example Ex 8 — Cell H (aur cell A, point
L 2 ) · Exam twist: L 2 par e-foldings ki number nikalo
Statement. Sun–Earth L 2 (space telescopes ka ghar) mein effective curvatures hain U xx ≈ + 7.38 , U y y ≈ − 2.19 , U x y = 0 . Ek spacecraft ko nudge kiya jaata hai aur uncontrolled chhod diya jaata hai. Ek dimensionless time unit baad (t = 1 , yaani ek orbital radian) displacement kitne factor se badh jaayegi?
Forecast: L 2 collinear hai ⇒ (cell A se) unstable ⇒ real positive λ . Trap yeh hai: bahut se log "unstable" par ruk jaate hain. Exam growth factor e λ chahta hai.
c = U xx U y y − U x y 2 = ( 7.38 ) ( − 2.19 ) − 0 = − 16.1622 < 0 ⇒ saddle, exactly baaki collinear points ki tarah.
Yeh step kyun? Confirm karta hai ki ek real positive λ exist karta hai (cell A behaviour L 2 ke liye).
b = 4 − 7.38 − ( − 2.19 ) = − 1.19 . Solve Λ 2 − 1.19Λ − 16.1622 = 0 : Λ + = 2 1.19 + 1.4161 + 64.6488 = 2 1.19 + 66.0649 = 2 1.19 + 8.1281 = 4.6591 .
Yeh step kyun? Positive root unstable direction ki rate deta hai.
λ = 4.6591 = 2.1585 . Offset ξ ka t = 1 baad growth factor: e λ ⋅ 1 = e 2.1585 = 8.658 .
Yeh step kyun? Ek time unit mein (Sun–Earth orbit ka ek radian, ~58 s-scaled din) ek unmanaged deviation ~8.7× badhti hai. Yahi quantitative reason hai ki station-keeping burns roughly har kuch hafte hoti hain.
Verify: Λ + = 4.6591 ; check Λ + 2 − 1.19 Λ + + ( − 16.1622 ) ≈ 0 : 21.707 − 5.544 − 16.162 = 0.001 ≈ 0 . ✓ Growth factor e 2.1585 = 8.66 . ✓
Recall Self-test (guess karne ke baad reveal karo)
Collinear points L 1 , L 2 , L 3 hamesha hote hain ::: unstable saddles, kyunki U x y = 0 with U xx > 0 , U y y < 0 har ek par c < 0 deta hai.
Triangular points stable hain iff ::: μ ≤ μ crit ≈ 0.03852 , equivalently 27 μ ( 1 − μ ) ≤ 1 .
Ek collinear point ke liye saddle vs centre decide karne wali ek quantity kya hai? ::: c = U xx U y y ka sign (Λ -roots ka product).
Equal-mass binaries mein stable Trojans kyun nahi hote? ::: μ = 0.5 > μ crit , toh discriminant 1 − 27 μ ( 1 − μ ) = − 5.75 < 0 , complex Λ aur oscillatory runaway deta hai.
Characteristic equation mein "4" aata hai ::: Coriolis coupling terms 2 η ˙ , 2 ξ ˙ se jo determinant mein squared hote hain.
"Ek time unit" ka matlab hai ::: primaries ke orbital angle ka ek radian (woh clock jahan ω = 1 ).
Mnemonic Do gates, ek grid
C phir D. Pehle c check karo (corner value): c < 0 ⇒ dead (saddle, unstable). Agar c > 0 hai, D iscriminant 1 − 27 μ ( 1 − μ ) check karo: positive ⇒ delightful (stable), negative ⇒ doomed (spiral).
Yeh bhi dekho: Lagrange points , Jacobi constant & zero-velocity curves , Rotating reference frames — Coriolis & centrifugal forces .