4.10.10 · D4 · HinglishAdvanced Topics (Elite Level)

ExercisesMetric tensor — raising - lowering indices

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4.10.10 · D4 · Maths › Advanced Topics (Elite Level) › Metric tensor — raising - lowering indices

Figure — Metric tensor — raising - lowering indices

Level 1 — Recognition

Kya tum notation padh sakte ho aur sahi tool choose kar sakte ho?

Recall Solution 1.1

Metric diagonal hai. WHAT hum karte hain: ek diagonal matrix ko invert karne ke liye har diagonal entry ka reciprocal lete hain. WHY yeh kaam karta hai: ek diagonal matrix ke liye, alag-alag equations mein toot jaata hai (no sum), toh . Ek index raise karne ke liye tum up-indexed inverse metric use karte ho.

Recall Solution 1.2
  • (i) — valid. Repeated index ek baar up, ek baar down hai. Yeh invariant dot product hai.
  • (ii) — ek tensor expression ke roop mein valid nahi. Index dono baar up appear karta hai; koi metric pairing nahi kar raha, toh yeh basis-dependent bakwaas hai.
  • (iii) — valid. Metric missing "down" provide karta hai taaki aur dono up–down pair ho jayein. Actually (iii) equals (i), kyunki .

Level 2 — Application

aur mein sahi se plug in karo.

Recall Solution 2.1

. Identity metric ke saath sirf diagonal survive karta hai: Toh . Reveal: jab , lowering kuch bhi nahi badalta — yahi reason hai ki school dono mein kabhi distinguish nahi karta.

Recall Solution 2.2

Down-indexed metric se lower karo: Toh . WHY factor 4: ki length hai, nahi; metric entry us stretch ko dot product mein build karta hai.

Recall Solution 2.3

Diagonal ⇒ har component independently lower hoti hai: Toh . Sirf time component ka sign flip hota hai — yeh indefinite (Lorentzian) metric ki fingerprint hai.


Level 3 — Analysis

Off-diagonal coupling, inverses, aur self-consistency.

Recall Solution 3.1

Cross terms alive hain, toh har row mein dono metric entries contribute karti hain: Toh . WHY dono terms: ka matlab hai aur perpendicular nahi hain, toh ko pe project karne par -direction ka ek piece bhi aata hai.

Recall Solution 3.2

2×2 ka Inverse hai . Determinant : Ab ke saath se raise karo: Toh ✓ — lowering phir raising identity hai, jaise guarantee karta hai.

Recall Solution 3.3

(i) . Carefully: (ii) use karte hue: ✓. Norm same object hai chahe kisi bhi tarah se dekho — wahi invariance puri wajah hai ki metric exist karta hai.


Level 4 — Synthesis

Multi-index tensors aur mixed raising/lowering.

Recall Solution 4.1

Pehla slot lower karne ka matlab hai ka pehla index ke saath contract hoga. Kyunki diagonal hai, (no sum), yaani row ko se multiply karo:

  • Row 1 (): .
  • Row 2 (): .
Recall Solution 4.2

Doosra slot lower karne se column ko se multiply hota hai:

  • Column 1 (): .
  • Column 2 (): . WHY ek index at a time: har exactly ek free slot ko ek dummy ke saath pair karta hai; sequentially karne se guarantee hoti hai ki tum sirf wahi slot convert karo jo tum chahte ho.
Recall Solution 4.3

Pehle form karo ( ka doosra index lower karo): column ko se multiply karo:

  • Column 1 : . Column 2 : . Ab contract karo (diagonal sum karo): . Yeh invariant trace hai.

Level 5 — Mastery

Proof-level reasoning aur ek full physical computation.

Recall Solution 5.1

Left se shuru karo aur regroup karo (contraction ki associativity): WHAT/WHY: humne dono metrics ko bracket kiya kyunki unka product inverse metric ki defining relation hai: Kronecker delta tab hai jab , warna ; ise ke saath contract karne par index simply rename ho jaata hai: Koi component values use nahi hue — yeh har metric ke liye hold karta hai, diagonal ho ya nahi, curved ho ya flat.

Recall Solution 5.2

Lower karo: (time component flip hoti hai). Meaning: invariant norm hai — momentum null (lightlike) hai. Yeh encode karta hai : photon massless hai. Metric ka minus sign exactly wahi hai jo ek nonzero-energy object ko zero invariant length deta hai.

Recall Solution 5.3

lower karo: . Phir Metric se directly cross-check karo: Dono routes dete hain; negative sign kehta hai vectors ka "time overlap" unke "space overlap" pe dominate karta hai.



Connections

Level Map

L1 Recognition: read notation, pick g up or down

L2 Application: plug into lower and raise

L3 Analysis: off diagonal coupling and inverse

L4 Synthesis: multi index tensors

L5 Mastery: proofs and Minkowski physics