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Section III. Basis and Dimension 139<br />

(b) Suppose that U and W are subspaces of a vector space. Suppose that the<br />

sequence 〈 � β1,..., � βk〉 is a basis for U ∩ W . Finally, suppose that the prior<br />

sequence has been expanded to give a sequence 〈�µ1,...,�µj, � β1,..., � βk〉 that is a<br />

basis for U, and a sequence 〈 � β1,..., � βk,�ω1,...,�ωp〉 that is a basis for W .Prove<br />

that this sequence<br />

〈�µ1,...,�µj, � β1,..., � βk,�ω1,...,�ωp〉<br />

is a basis for for the sum U + W .<br />

(c) Conclude that dim(U + W )=dim(U)+dim(W ) − dim(U ∩ W ).<br />

(d) Let W1 and W2 be eight-dimensional subspaces of a ten-dimensional space.<br />

List all values possible for dim(W1 ∩ W2).<br />

4.36 Let V = W1 ⊕ ...⊕ Wk and for each index i suppose that Si is a linearly<br />

independent subset of Wi. Prove that the union of the Si’s is linearly independent.<br />

4.37 Amatrixissymmetric if for each pair of indices i and j, thei, j entry equals<br />

the j, i entry. A matrix is antisymmetric if each i, j entry is the negative of the j, i<br />

entry.<br />

(a) Give a symmetric 2×2 matrix and an antisymmetric 2×2 matrix. (Remark.<br />

For the second one, be careful about the entries on the diagional.)<br />

(b) What is the relationship between a square symmetric matrix and its transpose?<br />

Between a square antisymmetric matrix and its transpose?<br />

(c) Show that Mn×n is the direct sum of the space of symmetric matrices and<br />

the space of antisymmetric matrices.<br />

4.38 Let W1,W2,W3 be subspaces of a vector space. Prove that (W1 ∩W2)+(W1∩ W3) ⊆ W1 ∩ (W2 + W3). Does the inclusion reverse?<br />

4.39 The example of the x-axis and the y-axis in R 2 shows that W1 ⊕ W2 = V does<br />

not imply that W1 ∪ W2 = V .CanW1⊕W2 = V and W1 ∪ W2 = V happen?<br />

� 4.40 Our model for complementary subspaces, the x-axis and the y-axis in R 2 ,<br />

has one property not used here. Where U is a subspace of R n we define the<br />

orthocomplement of U to be<br />

U ⊥ = {�v ∈ R n � � �v �u =0forall�u∈ U}<br />

(read “U perp”).<br />

(a) Find the orthocomplement of the x-axis in R 2 .<br />

(b) Find the orthocomplement of the x-axis in R 3 .<br />

(c) Find the orthocomplement of the xy-plane in R 3 .<br />

(d) Show that the orthocomplement of a subspace is a subspace.<br />

(e) Show that if W is the orthocomplement of U then U is the orthocomplement<br />

of W .<br />

(f) Prove that a subspace and its orthocomplement have a trivial intersection.<br />

(g) Conclude that for any n and subspace U ⊆ R n we have that R n = U ⊕ U ⊥ .<br />

(h) Show that dim(U)+dim(U ⊥ ) equals the dimension of the enclosing space.<br />

� 4.41 Consider Corollary 4.13. Does it work both ways — that is, supposing that<br />

V = W1 + ···+ Wk, isV = W1 ⊕ ...⊕ Wk if and only if dim(V )=dim(W1) +<br />

···+dim(Wk)?<br />

4.42 We know that if V = W1 ⊕ W2 then there is a basis for V that splits into a<br />

basis for W1 and a basis for W2. Can we make the stronger statement that every<br />

basis for V splits into a basis for W1 and a basis for W2?<br />

4.43 We can ask about the algebra of the ‘+’ operation.<br />

(a) Is it commutative; is W1 + W2 = W2 + W1?<br />

(b) Is it associative; is (W1 + W2)+W3 = W1 +(W2 + W3)?

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