Section I.2.1

Row and column vector spaces

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Problem I.2.1.1

The linear span ⟨U∪V⟩\langle U \cup V\rangle is called the sum of the subspaces UU and VV:

U+V=⟨U∪V⟩={u+v∣u∈U,v∈V} U+V=\langle U \cup V\rangle =\left\{ u+v \mid u \in U, v \in V\right\}

If U∩V=0U \cap V=0, then the sum U+VU+V is said to be direct, and one writes U⊕VU \oplus V.

Let V=V1⊕V2V=V_{1} \oplus V_{2} and X=X1+X2=X1′+X2′X=X_{1}+X_{2}=X_{1}^{\prime }+X_{2}^{\prime } be two expressions of a vector X∈VX \in V as a linear combination of vectors X1,X1′∈V1X_{1}, X_{1}^{\prime } \in V_{1} and X2,X2′∈V2X_{2}, X_{2}^{\prime } \in V_{2}. Then we have X1−X1′=X2′−X2∈V1∩V2X_{1}-X_{1}^{\prime }=X_{2}^{\prime }-X_{2} \in V_{1} \cap V_{2}, and since V1∩V2=0V_{1} \cap V_{2}=0, it follows that X1=X1′,X2=X2′X_{1}=X_{1}^{\prime }, X_{2}=X_{2}^{\prime }.

Prove the converse: if the expression X=X1+X2,Xi∈Vi,i=1,2X=X_{1}+X_{2}, X_{i} \in V_{i}, i=1,2, is unique for every vector X∈VX \in V, then the sum V=V1+V2V=V_{1}+V_{2} is direct. More generally: the sum VV of subspaces V1,…,Vk⊂RnV_{1}, \ldots , V_{k} \subset \mathbb {R}^{n} is called a direct sum V=V1⊕…⊕VkV=V_{1} \oplus \ldots \oplus V_{k} if every vector X∈VX \in V has a unique expression of the form X=X1+…+XkX=X_{1}+\ldots +X_{k} with Xi∈ViX_{i} \in V_{i}.

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Problem I.2.1.2

Let V,V1V, V_{1} and V2V_{2} be linear spans in Rn\mathbb {R}^{n}, with V⊂V1+V2V \subset V_{1}+V_{2}. Is it always true that V=V∩V1+V∩V2V=V \cap V_{1}+V \cap V_{2}? What can be said about this relation in the special case V1⊂VV_{1} \subset V?

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Problem I.2.1.3

Let VV be a linear span in Rn\mathbb {R}^{n}. If V=U⊕WV=U \oplus W is a decomposition into a direct sum, then the span WW is called a complement of UU, and UU a complement of WW, in VV. Is the complement of UU in VV uniquely determined? Compare WW with the set-theoretic notion of the complement V/UV / U (see § 5, Ch. 1).

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Problem I.2.1.4

Show that the vectors X1=(1,2,3),X2=(3,2,1)X_{1}=(1,2,3), X_{2}=(3,2,1) are linearly independent; consider the linear span V⟨X1,X2⟩V \left\langle X_{1}, X_{2}\right\rangle; show that the vector X=(−5,2,9)X=(-5,2,9) is contained in VV, and find its coordinates in the basis X1,X2X_{1}, X_{2}; find in R3\mathbb {R}^{3} at least one complement of VV.

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Problem I.2.1.5

Show that a system of vectors X1,…,XnX_{1}, \ldots , X_{n} from Rn\mathbb {R}^{n} spans Rn\mathbb {R}^{n} if and only if it is linearly independent.

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Problem I.2.1.6

Show that any linearly independent system of vectors X1,…,XkX_{1}, \ldots , X_{k} from a linear span V⊂RnV \subset \mathbb {R}^{n} can be embedded in some basis system for VV.

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Problem I.2.1.7

Let UU and VV be linear spans in Rn\mathbb {R}^{n}. Prove that if U∩V=0U \cap V=0, then dim⁡(U+V)=dim⁡U+dim⁡V\operatorname {dim}(U+V)=\operatorname {dim} U+\operatorname {dim} V.

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Problem I.2.1.8

Find the rank of the system of vectors (0,1,1),(1,0,1),(1,1,0)(0,1,1),(1,0,1),(1,1,0).

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