2.1.22 · D1 · Physics › Analytical Mechanics › Inertia tensor — principal axes, principal moments
Ek ghoomta hua solid body apni "ghoomne ki resistance" ko ek 3 × 3 number grid mein store karta hai jise inertia tensor kehte hain — yeh us arrow ko leta hai jo batata hai kaise ghoom rahe ho (ω ) aur output deta hai woh arrow jo batata hai kitna rotation carry ho raha hai (L ). Yeh page, bilkul scratch se, har woh symbol build karta hai jo us sentence ko samajhne ke liye chahiye: vectors, cross products, mass sums, matrices, aur yeh ki "principal axis" ka matlab kya hota hai.
Yeh ek prerequisites page hai. Pehle parent note padh sako, uske liye tumhe har woh symbol khud se samajhna hoga jo woh tumhare samne rakhta hai. Hum ek-ek karke jaate hain, har ek kisi picture se anchor hai, aur har ek pichle par build karta hai.
Ek rigid body ek aisa solid object hai jiske particles apni ek-doosre se dooriyan kabhi nahi badlate — jaise ek spinning top, ek kitaab, ek eent. Yeh na squash ho sakta hai na bend. Jab yeh rotate karta hai, har particle usi axis ke around usi angle se usi time mein ghoomta hai.
Socho ek eent jo lakhon chhote mass-dots se glue karke bani hai. Agar eent 10° ghoomti hai, toh har dot 10° ghoomta hai. Yahi ek fact hai jo poori theory ko possible banata hai — dekho Rigid body rotation .
Neeche ki figure yeh dikhati hai: faint dots "pehle" wali eent hain, bright dots "baad" wali. Yellow aur green arrows dekho — ek corner dot aur ek inner dot usi angle se fixed red origin ke around ghoomte hain. Kuch stretch nahi hota; sirf orientation badlti hai.
Definition Position vector
r = ( x , y , z ) ek arrow hai ek chosen origin se (body mein ek fixed point, aksar centre) kisi particle tak. Teeno numbers x , y , z batate hain ki teeno perpendicular axes ke along kitna chalna padega wahan pahunchne ke liye.
Upar wala chhota arrow hamesha matlab hai "yeh ek vector hai — iska ek direction hai, sirf size nahi."
Definition Standard basis vectors
i ^ , j ^ , k ^
x , y , z axes ke along hum teeno unit arrows rakhte hain — bilkul 1 length ke arrows — jinhe i ^ , j ^ , k ^ kehte hain. Chhota hat ^ ek promise hai: "is arrow ki length 1 hai; yeh sirf direction carry karta hai, size nahi." Koi bhi vector inka sum hai:
r = x i ^ + y j ^ + z k ^ .
Toh "r ka x -component" ka matlab hai "tumhe kitne i ^ copies chahiye." Hum yahi hat baad mein unit direction arrows ke liye use karenge jaise e ^ .
Definition Length (magnitude)
r
r = ∣ r ∣ = x 2 + y 2 + z 2 origin se particle tak ki seedhi doori hai — ek single positive number, koi direction nahi. Isliye iska koi arrow nahi, koi hat nahi.
Yeh topic ko kyun chahiye: inertia tensor build hota hai is se ki har particle kahan baitha hai, yaani uske components x , y , z se. Koi positions nahi, toh koi tensor nahi.
m a aur ∑ a
Har particle ko ek index a = 1 , 2 , 3 , … se label karo. Toh m a particle number a ki mass hai, aur symbol ∑ a (capital Greek "sigma") ka matlab hai "neeche wala expression har particle a ke liye jodte jao."
∑ a m a = m 1 + m 2 + m 3 + ⋯ = total mass.
Ek smooth solid body mein infinitely many infinitely-small chunks hote hain. Infinitely many chhote pieces jodna exactly wahi kaam hai jo ek integral karta hai. Mass ka ek "infinitely small chunk" samajhne ke liye, hume ek aur idea chahiye: density .
ρ ( r ) aur d m = ρ d V
ρ ( r ) (Greek "rho") har unit volume mein kitni mass bhari hai point r par — kilograms per cubic metre. r par baitha volume d V ka ek chhota box isliye yeh mass rakhta hai:
d m = ρ ( r ) d V .
Toh smooth-body sum ban jaata hai ek volume integral :
∫ ( ⋯ ) d m = ∫ body ( ⋯ ) ρ ( r ) d V .
Ek uniform body ke liye ρ constant hai aur integral se bahar nikal sakte hain.
∑ ↔ ∫
String par beads → use karo ∑ a m a . Continuous rope → use karo ∫ ρ d V . Same "sab jodo" wala idea, alag notation.
Yeh topic ko kyun chahiye: I ki entries mass-weighted sums hain coordinate products ki. Ek solid body ke liye inhe ρ d V par volume integrals ke roop mein compute karte hain — exactly aise hi parent ke cube example mein 6 1 M L 2 aata hai.
Definition Angular velocity vector
ω (Greek "omega") ek arrow hai jo ek spin ke baare mein sab kuch pack karta hai: yeh rotation ke axis ki taraf point karta hai, aur iska length hai ki kitni tezi se ghoom rahe ho (radians per second). Right-hand rule direction fix karta hai: apni right hand ki ungliyan waise curl karo jaise body ghoom rahi hai, aur apna thumb ω ki taraf point karega.
Figure mein disc ghoomti dikhti hai (green circulation arrows) jabki single yellow ω arrow axis ke upar seedha khada hai — uski direction hai axis, uski length hai rate.
Intuition Spin ke liye arrow kyun?
Ek spin mein do facts hote hain: kaunsa axis aur kitni tezi/kaunsi disha . Ek axis ek direction hai → arrow direction. Speed+sense → arrow length + right-hand rule. Ek arrow, dono facts. Isliye hum likh sakte hain ω = ( ω x , ω y , ω z ) = ω x i ^ + ω y j ^ + ω z k ^ bilkul position ki tarah.
Yeh topic ko kyun chahiye: ω inertia tensor ka input hai. L = I ω padhte hain "spin arrow daalo andar, momentum arrow niklo bahar."
Do arrows ko aisa multiply kiya ja sakta hai ki ek teesra arrow milta hai. Hume yeh do baar chahiye: velocity ke liye (v = ω × r ) aur angular momentum ke liye (L = r × m v ).
Definition Cross product (geometric)
A × B woh arrow hai jo dono A aur B ke perpendicular hai, length ∣ A ∣∣ B ∣ sin θ ke saath (jahan θ unke beech ka angle hai), us direction mein point karta hai jo tumhara right thumb deta hai jab ungliyan A se B ki taraf sweep karti hain.
Figure mein, blue A aur green B page mein hain; yellow shaded parallelogram unka ∣ A ∣∣ B ∣ sin θ area hai; red dot-in-a-circle hai A × B jo seedha page ke bahar point kar raha hai — dono ke perpendicular.
Intuition Spinning ke liye cross product kyun?
r par baitha ek particle ω ke saath ghoomta hai toh ek circle mein move karta hai — uski velocity axis aur position arm dono ke perpendicular hai. "Dono ke perpendicular" exactly cross product ka kaam hai, isliye v = ω × r natural (aur sahi) formula hai. Aur kyunki component form cross products ko coordinate products ke sums mein badal deta hai, isliye parent note r × ( ω × r ) ko un coordinate sums mein grind kar pata hai jo I fill karte hain.
Recall Quick check: parallel arrows ka cross product
Agar A ∥ B toh θ = 0 , toh sin θ = 0 , toh A × B = 0 .
Ek particle jo spin axis par hi baitha ho (r ∥ ω ) isliye v = 0 hai — woh hilta nahi. Sahi hai: axis stationary hoti hai.
A ⋅ B = A x B x + A y B y + A z B z = ∣ A ∣∣ B ∣ cos θ — matching components multiply karo aur add karo. Result ek single number hai (koi arrow nahi). Yeh measure karta hai "dono arrows kitna same direction mein point kar rahe hain."
Yeh topic ko kyun chahiye: I ki derivation mein term r ( r ⋅ ω ) aata hai. Dot r ⋅ ω ek number mein collapse hota hai jo phir r ko re-scale karta hai.
Common mistake Dot aur cross ko confuse karna
Kyun tempting hai: dono "do vectors multiply karte hain."
Fix: dot (⋅ ) → number , alignment measure karta hai. Cross (× ) → arrow , perpendicular twist measure karta hai. r × ( ω × r ) mein tum dono use karte ho, exactly usi order mein.
Definition Angular momentum
Ek particle ke liye, L = r × m v . Yeh ordinary momentum m v ka rotational cousin hai: ek vector jo batata hai ki particle kitna rotational motion carry karta hai aur kis axis ke baare mein. Dekho Angular momentum .
Yeh topic ko kyun chahiye: L inertia tensor ka output hai. Poora topic is sawaal ka jawab dene ke liye hai: spin ω diya hua hai, toh L kya hai?
Parent note ek 3 × 3 grid I xx , I x y , I y z , wagera entries se bharta hai. Yahan exactly hai ki har label ka kya matlab hai, derivation mein milne se pehle bhi . Do subscripts i aur j mein se har ek axes x , y , z mein se ek ko represent karta hai; I ij entry hai row i , column j mein.
Us ek formula ko unpack karne se har woh entry milti hai jo parent use karta hai:
Definition Diagonal entries — moments of inertia
Jab i = j toh switch δ ij = 1 , toh r 2 bachta hai aur x i x j = x i 2 :
I xx = ∑ m ( y 2 + z 2 ) , I y y = ∑ m ( x 2 + z 2 ) , I z z = ∑ m ( x 2 + y 2 ) .
Har ek us axis se squared perpendicular distances ka sum hai — hamesha ≥ 0 .
Definition Off-diagonal entries — products of inertia
Jab i = j toh switch δ ij = 0 , isliye sirf − x i x j term bachti hai — minus sign note karo, formula mein built-in hai:
I x y = I y x = − ∑ m x y , I x z = − ∑ m x z , I y z = − ∑ m y z .
Yeh + , − , ya 0 ho sakte hain. Minus sign koi baad mein lagaya hua convention nahi hai — yeh I ij ke andar wala − x i x j hi hai.
Intuition Pieces kahan se aate hain (derivation ki jhalkee)
δ ij r 2 wala part hai "axis se kitni door, squared" wala piece — resistance badhti hai doori ke square ke saath (do baar dur wali mass ko spin karna chaar baar mushkil hai). − x i x j wala part measure karta hai ki mass do axes mein kitna lopsided hai; jab yeh nonzero hota hai, ek axis ke baare mein spin karne se momentum doosri taraf leak hota hai, aur exactly isliye L ω se tilted ja sakta hai.
Common mistake "Products of inertia hain
+ ∑ m x y ."
Kyun tempting hai: diagonal moments positive sums hain, isliye plus natural lagta hai.
Fix: single formula I ij = ∑ m ( δ ij r 2 − x i x j ) x i x j term par minus carry karta hai. Off-diagonals hain − ∑ m x i x j . Galat sign → galat eigenvectors.
Ek matrix numbers ka rectangular grid hai. Inertia tensor 3 × 3 hai (teen rows, teen columns). Matrices ko bold upright mein likhte hain: I . Row i , column j mein uski entry wahi I ij hai jo humne abhi define ki.
Definition Matrix times vector
Ek 3 × 3 matrix ek 3 -vector par act karke ek naya 3 -vector deta hai: har row ka input vector ke saath dot product lo, har output component milega.
I ω = I xx I y x I z x I x y I y y I z y I x z I y z I z z ω x ω y ω z = I xx ω x + I x y ω y + I x z ω z I y x ω x + I y y ω y + I y z ω z I z x ω x + I z y ω y + I z z ω z
Ek matrix ek machine hai jo ek arrow ko doosre arrow mein badalta hai — ho sakta hai use rotate aur stretch kare. Kyunki incoming spin ω aur outgoing L alag directions mein point kar sakte hain, hume exactly aisi machine chahiye. Woh machine hai I . Dekho Symmetric and orthogonal matrices .
Definition Diagonal matrix
Sirf woh entries jahan i = j hain (top-left se bottom-right) nonzero hain; har off-diagonal entry 0 hai. Ek diagonal matrix har axis ko simply uske diagonal number se stretch karta hai — kabhi kisi arrow ko tilt nahi karta.
Definition Symmetric matrix
Ek matrix jo apne diagonal-ke-paar mirror ke barabar hai: row i , column j wali entry row j , column i wali entry ke barabar hai. Inertia tensor symmetric hai kyunki formula I ij = − ∑ m x i x j (off-diagonal) x i aur x j ke order ki parwah nahi karta, isliye I ij = I j i .
Definition Identity matrix
1
Diagonal matrix jisme diagonal par 1 s hain (uski entries exactly δ ij hain). Yeh har vector ko unchanged chhod deta hai: 1 v = v . Yeh "kuch mat karo" wali machine hai.
Intuition Diagonal form kyun chahte hain
Agar I diagonal hota, toh I ω sirf har component ko scale karta — L aur ω axis-by-axis align ho jaate aur messy physics gayab ho jaati. Woh frame dhundhna jahan I diagonal ban jaaye yahi pura punchline hai "principal axes."
Definition Eigenvector & eigenvalue
Ek matrix M ka eigenvector ek special arrow hai jise matrix tilt nahi karta — sirf stretch karta hai. Kyunki sirf uski direction matter karti hai, hum ise normally length 1 par scale karte hain aur hat ke saath likhte hain, e ^ (hat ka matlab hai "unit vector," jaise §1 mein). Defining equation hai:
M e ^ = λ e ^ ,
aur stretch factor λ (Greek "lambda") hai eigenvalue . Dekho Eigenvalues and eigenvectors .
Intuition Yeh exactly principal axis kyun hai
Ek principal axis defined hota hai ek aisi spin direction ke roop mein jahan L ω ke parallel rehta hai. Symbols mein, I e ^ = λ e ^ — eigenvector equation, letter for letter, jisme unit arrow e ^ axis direction hai aur λ principal moment. Toh: principal axes = I ke (unit) eigenvectors , aur principal moments = I ke eigenvalues . Yahi poora topic ek sentence mein hai.
Rigid body: fixed distances
Length r and squares x2 y2 z2
Mass m_a sum and density rho dV
Angular velocity omega spin arrow
Cross product v = omega cross r
Angular momentum L = r cross m v
Tensor components I_ij formula
Matrix times vector L = I omega
Eigenvalues and eigenvectors
Principal axes and principal moments
Self-test: kya tum parent note kholne se pehle har sawaal ka jawab de sakte ho?
r par arrow ka kya matlab hai aur bina arrow ke r kya hai?r ek direction+length hai (ek vector, position); plain
r = x 2 + y 2 + z 2 sirf doori hai, ek single number.
Basis vectors i ^ , j ^ , k ^ ka kya matlab hai aur hat kya signal karta hai? Yeh x , y , z axes ke along unit (length-1) arrows hain; hat mark karta hai "is vector ki length 1 hai, sirf direction." Koi bhi vector hai x i ^ + y j ^ + z k ^ .
∑ a m a kab use karte hain aur ∫ ρ d V kab?∑ discrete point masses ke liye; ∫ ρ d V (d m = ρ d V ke saath) continuous solid body ke liye — same "sab jodo" wala idea.
Single arrow ω kaun se do facts encode karta hai? Uski direction = rotation axis (right-hand rule); uski length = spin rate.
Cross product kaunsa object output karta hai, aur dot product? Cross → ek naya vector dono ke perpendicular (components ( A y B z − A z B y , … ) ); dot → ek single number jo alignment measure karta hai.
v = ω × r axis ke perpendicular kyun hai?Cross product hamesha dono inputs ke perpendicular hota hai, aur ek spinning particle axis ke around circle mein move karta hai.
General inertia-tensor component I ij likho. I ij = ∑ m ( δ ij r 2 − x i x j ) ; diagonal → moments ∑ m ( y 2 + z 2 ) wagera, off-diagonal → products − ∑ m x i x j .
Ek diagonal matrix vector par act karte waqt kya special karta hai? Yeh sirf har component ko stretch karta hai — arrow ko kabhi tilt nahi karta.
Inertia tensor symmetric kyun hai? Off-diagonal − ∑ m x i x j unchanged rehta hai agar tum i aur j swap karo, isliye I ij = I j i .
Eigenvector equation batao, including hat aur λ ka kya matlab hai. I e ^ = λ e ^ ;
e ^ ek unit-length principal-axis direction hai,
λ principal moment hai — woh spin direction jahan
L ∥ ω .
Jab har line easy ho jaaye → jao parent note par.