Yeh page kuch bhi assume nahi karta. Parent note Covariant and contravariant components padhne se pehle, tumhe neeche diye gaye har symbol mein fluent hona chahiye. Hum unhe ek-ek karke build karte hain, har ek pichle par, har ek ek picture se anchored.
Picture. Neeche diye gaye black arrow ko dekho. Woh ek blank sheet par baitha hai. Abhi tak koi numbers nahi hain — numbers tabhi aate hain jab hum measure karne ke liye reference arrows choose karte hain.
Yeh topic kyun iske saath shuru hota hai. Covariant/contravariant ka poora drama yahi hai ki arrow fixed hai lekin uske numbers grid ke saath change ho jaate hain. Agar tumhe pehle yeh yakeen nahi hai ki arrow coordinates se alag exist karta hai, toh do-readings wali baat ka koi matlab nahi banega.
Picture. Neeche, e1 aur e2 lavender aur coral mein draw kiye gaye hain. Dhyan do ki yeh 90° par nahi hain aur ek hi length ke nahi hain. Yeh ek skew basis hai — deliberately awkward, taaki do-readings effect dikhaayi de.
Aage link: alag basis choose karna exactly wahi hai jo Change of basis and transformation laws study karta hai.
Yeh topic kyun iska use karta hai. Har component statement in do moves se bani hai. Jab hum v=v1e1+v2e2 likhte hain, hum keh rahe hain: e1 ko number v1 se scale karo, e2 ko v2 se scale karo, phir dono scaled arrows ko add karo taaki exactly v ki tip par land ho.
Yahi notation logon ko darr deti hai. Yeh bas chhote label ki jagah hai — itna hi.
Picture. Ek staircase socho: lower index neeche ki step par baitha hai, upper index upar ki step par. Parent note ka mnemonic — "CO cellar mein neeche jaata hai, contra upar jaata hai" — exactly yahi staircase hai.
Poori index machinery Tensors and index notation mein hai.
Ek upper aur ek lower kyun? "Ek upar, ek neeche" ki pairing ek signal hai ki result ek genuine coordinate-free number hai (hum §8 mein dekhenge kyun). Agar tum kabhi wahi letter do baar dono upar ya dono neeche dekho, toh kuch galat hai.
Is topic mein har cheez geometric — lengths, angles, projections, metric — ek operation se bani hai: dot product.
Yeh exact formula kyun, aur cos kyun? Hum ek aisa gadget chahte hain jo (a) length ke saath bade, aur (b) bataye ki do arrows kitne aligned hain. Cosine natural "alignment dial" hai:
Arrows same direction mein point karte hain → θ=0°, cos0°=1 → sabse bada value.
Arrows right angles par → θ=90°, cos90°=0 → dot product zero hai. (Aise hum perpendicularity detect karte hain!)
Arrows opposite mein point karte hain → θ=180°, cos180°=−1 → sabse negative.
Picture. Figure mein, coral arrow ka shadow seedha lavender arrow par girta hai jiska length ∣b∣cosθ hai. Dot product woh shadow length times ∣a∣ hai. Yeh "axis par shadow" wala idea parent note mein ek covariant component ki definition literally hai.
Ab jab hamare paas arrows, ek basis, scaling, aur dot product hain, do readings naturally dikhti hain.
Picture. Neeche, wahi v dono tareekon se padha gaya hai. Dashed parallel lines v1,v2 deti hain (tirchi grid ke saath chalo). Dotted perpendicular drops v1,v2 dete hain (har axis par shadows). Is skew grid par yeh differ karte hain — square paper par yeh ek doosre ke upar aa jaate.
Topic ko dono ki zaroorat kyun hai. Na hi koi reading "sahi wali" hai — yeh dono ek hi arrow ke do faces hain. Parent note ka kaam dono ko carry karna aur metric naam ke dot products ke chhote table se unke beech translate karna hai.
Yeh topic kyun iska use karta hai. Metric dono readings ke beech dictionary hai: vi=gijvj (stairs neeche) aur vi=gijvj (stairs upar, inverse table gij use karke). Jab basis orthonormal hoti hai, har dot product ek Kronecker delta hota hai, isliye gij=δij, metric kuch-nahi-karta table ban jaata hai, aur dono readings identical ho jaati hain — isliye square-paper school maths ne kabhi yeh kuch mention nahi kiya.
Deeper study: Metric tensor, aur General relativity — raising and lowering indices mein iski role. Perpendicular-reading ka apna alag reference arrows ka set bhi hai, Dual (reciprocal) basis.