Linear-Algebra-Done-Right · Unit 30 · Video 1 · Interactive Practice

Why V × W Fails: Bilinear Functionals and dim B(V, W)

IKey Formulas

FormulaNameWhere it comes from
dim⁡(V×W)=dim⁡V+dim⁡W\dim(V \times W) = \dim V + \dim WProduct spaceBasis (ej,0)(e_j, 0) and (0,fk)(0, f_k): m+nm + n vectors
M(β)j,k=β(ej,fk)\mathcal{M}(\beta)_{j,k} = \beta(e_j, f_k)Matrix of a bilinear functionalValues of β\beta on pairs of basis vectors
βC(∑jajej, ∑kbkfk)=∑j,kCj,k ajbk\beta_C\big(\sum_j a_j e_j,\ \sum_k b_k f_k\big) = \sum_{j,k} C_{j,k}\, a_j b_kInverse map C↦βCC \mapsto \beta_CAny C∈Fm,nC \in \mathbf{F}^{m,n} gives a bilinear functional
dim⁡B(V,W)=(dim⁡V)(dim⁡W)\dim \mathcal{B}(V, W) = (\dim V)(\dim W)Dimension of B(V,W)\mathcal{B}(V, W)β↦M(β)\beta \mapsto \mathcal{M}(\beta) is an isomorphism onto Fm,n\mathbf{F}^{m,n}

Key Insight: Linearity in each slot separately is what turns the count m+nm + n into mnmn: a bilinear functional is free on every pair (ej,fk)(e_j, f_k), not just on each basis vector.

IIA Sum Where a Product Is Needed

A basis of V×WV \times W has m+nm + n vectors, while a bilinear functional is fixed by mnmn values.

IIIThe Matrix C Determines β_C

With v=(1,2)v = (1, 2) and w=(3,−1,4)w = (3, -1, 4), βC(v,w)\beta_C(v, w) adds one term Cj,k ajbkC_{j,k}\, a_j b_k per cell.

💡 Challenge: change entries of CC until βC(v,w)=0\beta_C(v, w) = 0 while C≠0C \neq 0; a nonzero bilinear functional can vanish at a pair.

IVQuiz Questions

Problem 1 · Two Dimension Counts

Given: dim⁡V=4\dim V = 4 and dim⁡W=3\dim W = 3. Find dim⁡(V×W)\dim(V \times W) and dim⁡B(V,W)\dim \mathcal{B}(V, W).

What is dim⁡(V×W)\dim(V \times W)?

What is dim⁡B(V,W)\dim \mathcal{B}(V, W)?

✅ Correct! The product space adds dimensions, 4+3=74 + 3 = 7; bilinear functionals multiply them, 4⋅3=124 \cdot 3 = 12.
❌ Check the product space. A basis of V×WV \times W is the 44 vectors (ej,0)(e_j, 0) together with the 33 vectors (0,fk)(0, f_k).
❌ Check B(V,W)\mathcal{B}(V, W). A bilinear functional is determined by one free value β(ej,fk)\beta(e_j, f_k) for each of the 4⋅34 \cdot 3 pairs; powers such as 434^3 count functions, not bilinear functionals.
Show solution

With bases e1,…,e4e_1, \dots, e_4 of VV and f1,f2,f3f_1, f_2, f_3 of WW, the vectors (e1,0),…,(e4,0),(0,f1),(0,f2),(0,f3)(e_1, 0), \dots, (e_4, 0), (0, f_1), (0, f_2), (0, f_3) form a basis of V×WV \times W, so

dim⁡(V×W)=4+3=7.\dim(V \times W) = 4 + 3 = 7.

The map β↦M(β)\beta \mapsto \mathcal{M}(\beta), M(β)j,k=β(ej,fk)\mathcal{M}(\beta)_{j,k} = \beta(e_j, f_k), is an isomorphism B(V,W)→F4,3\mathcal{B}(V, W) \to \mathbf{F}^{4,3}, so

dim⁡B(V,W)=dim⁡F4,3=4⋅3=12.\dim \mathcal{B}(V, W) = \dim \mathbf{F}^{4,3} = 4 \cdot 3 = 12.

Problem 2 · Which One Is Bilinear?

Given: functions on R2×R2\mathbf{R}^2 \times \mathbf{R}^2, with v=(v1,v2)v = (v_1, v_2) and w=(w1,w2)w = (w_1, w_2). Which is a bilinear functional?

✅ Correct! For fixed ww it is v↦2w2v1−w1v2v \mapsto 2w_2 v_1 - w_1 v_2, linear in vv; for fixed vv it is linear in ww the same way.
❌ Not quite. v1+w2v_1 + w_2 is linear on the pair (v,w)(v, w), which is a different condition: for fixed ww, v↦v1+w2v \mapsto v_1 + w_2 sends 00 to w2w_2, so it is not linear in vv unless w2=0w_2 = 0.
❌ Not quite. A functional linear in vv must send v=0v = 0 to 00, but β(0,w)=1\beta(0, w) = 1.
❌ Not quite. For fixed ww with w2≠0w_2 \neq 0, v↦v12w2v \mapsto v_1^2 w_2 is not linear: doubling vv multiplies it by 44.
Show solution

Fix ww. Then β(v,w)=(2w2) v1+(−w1) v2\beta(v, w) = (2w_2)\,v_1 + (-w_1)\,v_2 is a linear functional of vv with fixed coefficients. Fix vv. Then β(v,w)=(−v2) w1+(2v1) w2\beta(v, w) = (-v_2)\,w_1 + (2v_1)\,w_2 is a linear functional of ww. So (d) is bilinear.

The others fail linearity in one slot: (a) and (b) do not send 00 to 00 in the first slot (for fixed ww with w2≠0w_2 \neq 0, resp. for every ww), and (c) is quadratic in v1v_1.

Problem 3 · Evaluate β_C

Given: the standard bases of F2\mathbf{F}^2 and F3\mathbf{F}^3, and C=(1200−13)C = \begin{pmatrix} 1 & 2 & 0 \\ 0 & -1 & 3 \end{pmatrix}. Find βC((2,1), (1,1,−1))\beta_C\big((2, 1),\ (1, 1, -1)\big).

✅ Correct! Row 1 contributes 2⋅3=62 \cdot 3 = 6 and row 2 contributes 1⋅(−4)=−41 \cdot (-4) = -4.
❌ Close, but… 66 is only the row j=1j = 1 part; the row j=2j = 2 terms C2,k a2bkC_{2,k}\, a_2 b_k add −4-4.
❌ Check the signs. b3=−1b_3 = -1, so C2,3 a2b3=3⋅1⋅(−1)=−3C_{2,3}\, a_2 b_3 = 3 \cdot 1 \cdot (-1) = -3, and C2,2 a2b2=−1C_{2,2}\, a_2 b_2 = -1.
❌ Not quite. Add Cj,k ajbkC_{j,k}\, a_j b_k over all six cells, with a=(2,1)a = (2, 1) and b=(1,1,−1)b = (1, 1, -1).
Show solution

With a=(2,1)a = (2, 1) and b=(1,1,−1)b = (1, 1, -1),

βC(a,b)=∑j=12aj∑k=13Cj,k bk=2 (1+2+0)+1 (0−1−3)=6−4=2.\beta_C(a, b) = \sum_{j=1}^{2} a_j \sum_{k=1}^{3} C_{j,k}\, b_k = 2\,(1 + 2 + 0) + 1\,(0 - 1 - 3) = 6 - 4 = 2.

Problem 4 · Bilinearity in Both Slots

Given: β∈B(V,W)\beta \in \mathcal{B}(V, W) with β(v,w)=5\beta(v, w) = 5 and β(v,w′)=−1\beta(v, w') = -1. Find β(2v, 3w−w′)\beta(2v,\ 3w - w').

✅ Correct! β(2v,3w−w′)=2(3⋅5−(−1))=32\beta(2v, 3w - w') = 2\big(3 \cdot 5 - (-1)\big) = 32.
❌ Check the sign. The term is −β(v,w′)=−(−1)=+1-\beta(v, w') = -(-1) = +1.
❌ Close, but… β\beta is linear in the first slot too, so the factor 22 in 2v2v comes out.
❌ Not quite. Pull the 22 out of the first slot, then expand the second slot: β(v,3w−w′)=3β(v,w)−β(v,w′)\beta(v, 3w - w') = 3\beta(v, w) - \beta(v, w').
Show solution
β(2v, 3w−w′)=2 β(v, 3w−w′)=2(3β(v,w)−β(v,w′))=2 (15+1)=32.\beta(2v,\ 3w - w') = 2\,\beta(v,\ 3w - w') = 2\big(3\beta(v, w) - \beta(v, w')\big) = 2\,(15 + 1) = 32.

Solved: 0 / 4