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Quotient Vector Space V/W

At a Glance

Why This Chapter Matters

The quotient space V/WV/W is the natural arena for the First Isomorphism Theorem and the rank–nullity theorem reread through abstract algebra. UPSC 2025 set an 8-mark Section A question on this atom — almost certainly asking for a proof of the dimension formula dim(V/W)=dimVdimW\dim(V/W) = \dim V - \dim W or a construction of a basis for V/WV/W. The topic demands a clean definition-proof style and rewards candidates who can navigate coset notation without getting lost in abstraction.

Minimum Theory

Setup. Let VV be a finite-dimensional vector space over a field F\mathbb{F}, and let WW be a subspace of VV.

Cosets. For vVv \in V, the coset of vv modulo WW is v+W={v+w:wW}V.v + W = \{v + w : w \in W\} \subseteq V.

Two cosets are equal iff their representatives differ by an element of WW: v1+W=v2+W    v1v2W.v_1 + W = v_2 + W \iff v_1 - v_2 \in W. The cosets partition VV.

Quotient space. The set V/W={v+W:vV}V/W = \{v + W : v \in V\} of all cosets is a vector space under: Addition: (v1+W)+(v2+W)=(v1+v2)+W,\text{Addition: } (v_1 + W) + (v_2 + W) = (v_1 + v_2) + W, Scalar multiplication: α(v+W)=αv+W.\text{Scalar multiplication: } \alpha(v + W) = \alpha v + W. These operations are well-defined (independent of the choice of coset representative). The zero element is 0+W=W0 + W = W.

Well-definedness check. Suppose v1+W=v1+Wv_1 + W = v_1' + W, i.e., v1v1Wv_1 - v_1' \in W, and similarly v2v2Wv_2 - v_2' \in W. Then (v1+v2)(v1+v2)=(v1v1)+(v2v2)W(v_1 + v_2) - (v_1' + v_2') = (v_1 - v_1') + (v_2 - v_2') \in W, so (v1+v2)+W=(v1+v2)+W(v_1+v_2)+W = (v_1'+v_2')+W. Scalar multiplication is checked similarly. \square

Dimension formula (Codimension theorem). dim(V/W)=dimVdimW.\dim(V/W) = \dim V - \dim W.

Proof. Let dimW=k\dim W = k and dimV=n\dim V = n. Choose a basis {w1,,wk}\{w_1, \ldots, w_k\} for WW and extend to a basis {w1,,wk,vk+1,,vn}\{w_1, \ldots, w_k, v_{k+1}, \ldots, v_n\} for VV.

Claim: B={vk+1+W,,vn+W}\mathcal{B} = \{v_{k+1}+W, \ldots, v_n+W\} is a basis for V/WV/W.

Spanning. Any coset v+Wv + W with v=i=1kaiwi+j=k+1nbjvjv = \sum_{i=1}^k a_i w_i + \sum_{j=k+1}^n b_j v_j satisfies v+W=j=k+1nbjvj+W=j=k+1nbj(vj+W)v + W = \sum_{j=k+1}^n b_j v_j + W = \sum_{j=k+1}^n b_j (v_j + W) since i=1kaiwiW\sum_{i=1}^k a_i w_i \in W is absorbed into the coset.

Linear independence. Suppose j=k+1ncj(vj+W)=W\sum_{j=k+1}^n c_j (v_j + W) = W (the zero coset). Then j=k+1ncjvjW\sum_{j=k+1}^n c_j v_j \in W, so j=k+1ncjvj=i=1kdiwi\sum_{j=k+1}^n c_j v_j = \sum_{i=1}^k d_i w_i for some scalars did_i. Rearranging, cjvjdiwi=0\sum c_j v_j - \sum d_i w_i = 0. Since {w1,,wk,vk+1,,vn}\{w_1,\ldots,w_k,v_{k+1},\ldots,v_n\} is a basis for VV, all coefficients are zero; in particular cj=0c_j = 0 for all jj.

Hence B\mathcal{B} is a basis of size nkn - k, giving dim(V/W)=nk=dimVdimW\dim(V/W) = n - k = \dim V - \dim W. \square

Analogy. This mirrors the index formula for groups: G/N=G/N|G/N| = |G|/|N|, with dimension playing the role of logarithm of order.

Question Archetypes

ArchetypeRecognition
dimension-formula-proof”Prove dim(V/W)=dimVdimW\dim(V/W) = \dim V - \dim W
basis-construction”Find a basis for V/WV/W; determine dim(V/W)\dim(V/W)
well-definedness-proof”Show the operations on V/WV/W are well-defined”

dimension-formula-proof (1 question(s); 2025)

Recognition Cues

Solution Template

  1. Define V/WV/W and its operations (2–3 lines; do not skip).
  2. State what you will prove; choose a basis {w1,,wk}\{w_1,\ldots,w_k\} for WW and extend to {w1,,wk,vk+1,,vn}\{w_1,\ldots,w_k,v_{k+1},\ldots,v_n\} for VV.
  3. Define B={vk+1+W,,vn+W}\mathcal{B} = \{v_{k+1}+W,\ldots,v_n+W\}.
  4. Prove spanning: any coset v+Wv+W is a linear combination of elements of B\mathcal{B} (absorb WW-components).
  5. Prove independence: a zero linear combination forces all coefficients zero via the independence of the basis of VV.
  6. Conclude dim(V/W)=nk\dim(V/W) = n - k.
  7. (If asked) Apply to the given concrete VV and WW.

Worked Example

2025 Paper 1, 2025-P1-Q1d (8 marks)

Let V=R3V = \mathbb{R}^3 and W={(x,y,z)R3:x+y+z=0}W = \{(x, y, z) \in \mathbb{R}^3 : x + y + z = 0\}. Prove that V/WV/W is a vector space and determine dim(V/W)\dim(V/W). Find a basis for V/WV/W.

Step 1. Identify WW and its dimension.

WW is the solution space of x+y+z=0x+y+z=0, a homogeneous system with one equation in three unknowns. Hence dimW=31=2\dim W = 3 - 1 = 2.

A basis for WW: w1=(1,1,0)w_1 = (1,-1,0), w2=(1,0,1)w_2 = (1,0,-1).

Step 2. Extend to a basis for VV.

We need to add a vector not in WW. Take v3=(1,0,0)v_3 = (1,0,0); check: 1+0+0=101+0+0 = 1 \neq 0, so v3Wv_3 \notin W.

The set {w1,w2,v3}={(1,1,0),(1,0,1),(1,0,0)}\{w_1, w_2, v_3\} = \{(1,-1,0),(1,0,-1),(1,0,0)\} is a basis for R3\mathbb{R}^3 (its determinant equals 10-1 \neq 0). \checkmark

Step 3. V/WV/W is a vector space.

WW is a subspace of VV, so the coset operations (addition and scalar multiplication defined above) are well-defined and satisfy all vector space axioms. (The standard verification — closure, associativity, zero element =W= W, negatives — follows directly from the corresponding properties in VV.) \square

Step 4. Basis for V/WV/W.

By the proof of the dimension formula, B={v3+W}={(1,0,0)+W}\mathcal{B} = \{v_3 + W\} = \{(1,0,0)+W\} is a basis for V/WV/W.

Spanning: Any (a,b,c)R3(a,b,c) \in \mathbb{R}^3 can be written as (a,b,c)=αw1+βw2+γv3(a,b,c) = \alpha w_1 + \beta w_2 + \gamma v_3 for appropriate α,β,γ\alpha,\beta,\gamma (solvable since {w1,w2,v3}\{w_1,w_2,v_3\} is a basis). Hence (a,b,c)+W=γv3+W=γ(v3+W)(a,b,c)+W = \gamma\,v_3 + W = \gamma\,(v_3+W).

Independence: If γ(v3+W)=W\gamma(v_3+W) = W, then γv3W\gamma v_3 \in W, i.e., γ(1,0,0)W\gamma(1,0,0) \in W, i.e., γ=0\gamma = 0.

Step 5. Conclusion.

dim(V/W)=dimVdimW=32=1,\dim(V/W) = \dim V - \dim W = 3 - 2 = 1,

with basis {(1,0,0)+W}\{(1,0,0) + W\}.

dim(V/W)=1,basis: {(1,0,0)+W}.\boxed{\dim(V/W) = 1, \quad \text{basis: } \{(1,0,0)+W\}.}

Common Traps

Marks-Aware Writing

At 8 marks (Section A, ~12 min), allocate roughly: 1 mark for defining V/WV/W and its operations; 1 mark for the basis-extension setup; 3 marks for the spanning and independence arguments (the core proof); 1 mark for invoking the dimension count; 2 marks for the concrete application (basis, dim\dim). Write the independence argument with a displayed equation — examiners look for the line ”cjvjW\sum c_j v_j \in W, hence \ldots, hence cj=0c_j = 0.”

Practice Set

Only one historical question on this atom (shown above).

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