4.5.10 · D4 · HinglishLinear Algebra (Full)

ExercisesRow echelon form and reduced row echelon form

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4.5.10 · D4 · Maths › Linear Algebra (Full) › Row echelon form and reduced row echelon form

Shuru karne se pehle, ek shared notation piece, zero se build kiya gaya hai.

Figure — Row echelon form and reduced row echelon form

Upar ki figure poore page ke liye tumhara reference card hai. Ise left-to-right padho:

  • Left grid (REF). Teen shaded diagonal squares pivots hain — har row ki pehli non-zero entry. Woh "right aur neeche march karte hain" jaise ek staircase, jo exactly wahi hai jo REF demand karta hai. Diagonal ke upar plain numbers ( aur ) REF mein rehne ki ijazat hai.
  • Right grid (RREF). Same pivots, lekin ab har pivot ke upar ki entries force kar di gayi hain (shaded off-diagonal cells). RREF require karta hai ki har pivot apne column mein akaila non-zero entry ho, isliye yeh grid identity hai.
  • Unke beech ka arrow extra Gauss–Jordan kaam hai: "upar clean karo." REF → RREF exactly har pivot ke upar sab kuch zero karne ka kaam hai.

(Colour coding — pivots ek accent mein, cleaned zeros doosre mein — sirf ek visual aid hai; upar ki text har cell ka role state karti hai isliye logic follow karne ke liye figure zaroori nahi hai.)


Level 1 — Recognition

(Kya tum bata sakte ho ki matrix already kisi form mein hai, bina koi arithmetic kiye?)

Exercise 1.1

Har matrix ke liye, batao ki woh REF mein hai, RREF mein hai, ya neither mein. Us exact rule se justify karo jo pass ya fail hoti hai.

Recall Solution 1.1

Rules ko ek checklist ki tarah padho. REF chahiye: (i) zero rows neeche, (ii) har pivot strictly upar wale se right mein, (iii) har pivot ke neeche zeros. RREF add karta hai: (iv) har pivot , (v) har pivot apne column mein akela (upar bhi zeros).

: Pivots positions par hain — har ek aage right mein, koi zero rows nahi, neeche zeros hain. ✅ REF. Lekin pivots ke upar dekho: aur pivots ke upar non-zero entries hain. Toh (v) fail hota hai. sirf REF mein hai.

: Zero row beech mein hai, neeche nahi → rule (i) turant fail ho jaata hai. neither hai.

: Identity matrix. Har pivot hai, apne column mein akela hai, staircase perfect hai. ✅ RREF (aur isliye REF bhi).


Level 2 — Application

(Actually Gaussian elimination run karo.)

Exercise 2.1

REF tak reduce karo aur back-substitution se solve karo:

Recall Solution 2.1

Augmented matrix: Step 1 — top-left pivot ke neeche walo ko khatam karo ( ko equations 2,3 se bahar karo): , : Step 2 — agla pivot par hai; uske neeche clear karo: : Bottom row padhti hai . Contradiction → system ka koi solution nahi (inconsistent). Ek pivot constants column mein land kiya — inconsistency ki algebraic "cheekh".

Exercise 2.2

REF tak reduce karo aur solve karo:

Recall Solution 2.2

Step 1 — top-left pivot ko friendly banao. scale karo: Step 2 — neeche khatam karo: , : Step 3 — pivot ke neeche clear karo: : Bottom row: inconsistent, koi solution nahi. (Notice: is level ke do alag-alag dikhne wale systems dono inconsistent nikle — clue hamesha last column mein pivot hona hai.)


Level 3 — Analysis

(RREF tak pahuncho, phir pivots, free variables aur rank interpret karo.)

Exercise 3.1

RREF tak laao aur poora solution set describe karo:

Recall Solution 3.1

Step 1 — pivot ke neeche clear karo: : Step 2 aur identical hain; column 3 mein pivot ke neeche clear karo: : Pivots pehle se ke barabar hain aur row-2 pivot (column 3) ke upar column pehle se clean hai → yeh RREF bhi hai. Pivot columns: aur . Non-pivot columns: aur → variables aur free hain. Equations padho:

  • Row 1:
  • Row 2:

Solution set ( free ke saath): Rank = pivots ki sankhya = ==== (dekho Rank of a Matrix). variables aur rank ke saath, free variables hain → solutions ka poora 2-D plane solution space mein.

Exercise 3.2

Kis value(s) of ke liye system mein (a) unique solution hai, (b) infinitely many hain, (c) koi nahi hai?

Recall Solution 3.2

, : Decisive entry pivot slot hai: , constant ke saath.

  • Agar : pivot , toh teenon columns mein pivots hain → unique solution. Solve karo: , phir , phir . Toh har ke liye.
  • Agar : bottom row ban jaati hai — ek zero row, koi contradiction nahi, aur variables ke liye sirf pivots → infinitely many solutions (ek free variable ). Row 2 se: . Row 1 se: . Toh .
  • ki koi bhi value no solution nahi deti, kyunki degenerate case () produce karta hai, kabhi nahi. Toh case (c) empty hai.

Level 4 — Synthesis

(RREF ko ek doosre idea ke saath combine karo: independence, ya inverse.)

Exercise 4.1

RREF use karke decide karo ki yeh vectors linearly independent hain ya nahi, aur rank nikalo:

Recall Solution 4.1

Inhe ek matrix ke columns ki tarah rakh ke reduce karo (pivot columns ek independent set mark karte hain — dekho Linear Independence): , : swap karo taaki zero row neeche jaaye: Pivots sirf columns aur mein hain → rank . Teen vectors lekin sirf pivots ⇒ woh linearly dependent hain. Concretely dependency isliye dikhti hai kyunki column 3 pivot column nahi hai: (check: ✅).

Exercise 4.2

ka inverse augment-with-$I$ method se nikalo.

Recall Solution 4.2

identity ke saath augment karo aur left block ko RREF tak drive karo; right block ban jaata hai: : : : : Toh . Check: ✅.


Level 5 — Mastery

(Systems banao / structural facts prove karo.)

Exercise 5.1

Ek augmented matrix (3 equations, 3 unknowns ) construct karo jo consistent ho exactly ek one-parameter family of solutions ke saath, aur jiska RREF mein pivots columns aur mein hon. Phir uska solution likho.

Recall Solution 5.1

Ek free variable ⇒ rank , columns mein pivots (toh column , yaani , free hai). Ek clean RREF jo yeh meet karta hai:

  • Pivots: columns ✅; column pivot-free → free ✅.
  • Last (constant) column mein koi pivot nahi → consistent ✅; rank variables → one-parameter family ✅. Solution: row 1 se, ; row 2 se, ; free: Ek valid original system (un-reduce karo): — ya ise dress up karo as .

Exercise 5.2

Prove karo (contradiction se, pivots ke level par) ki ek square matrix invertible hai iff uska RREF identity hai.

Recall Solution 5.2

Setup. Ek square matrix ka RREF ya toh hota hai (har column mein ek pivot) ya usme kam se kam ek pivot-free column hota hai (aur isliye kam se kam ek zero row, kyunki pivots fit nahi ho sakte agar koi column skip ho). Yeh ek square matrix ke liye sirf do possibilities hain.

() RREF invertible. Har row operation ek elementary matrix se left-multiplication ke barabar hai, aur har invertible hai. Agar , toh , invertibles ka product → invertible, ke saath.

() invertible RREF . Suppose nahi: RREF mein ek zero row hai. Toh , lekin saare invertible factors ke saath, toh . Kyunki har aur (assumption se) , product contradiction zero row ke saath jo force karta hai. Isliye RREF mein koi zero row nahi → har column mein pivot → RREF .


Recall Self-check: rank ↔ solution-count cheat sheet

Neeche har line Prompt ::: Answer format mein likhi hai — ::: ke baad waala part cover karo aur khud test karo, phir reveal karo. Maan lo = coefficient block ka rank, = augmented matrix ka rank, = unknowns ki sankhya. Agar (last column mein pivot) ::: koi solution nahi (inconsistent) Agar ::: unique solution Agar ::: infinitely many, free variables ke saath

Connections

Difficulty Map

L1 recognise a form

L2 run Gaussian elimination

L3 RREF plus free vars rank

L4 independence and inverse

L5 construct and prove