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Show that a subset \(W\) of a vector space \(V\) is a subspace of \(V\) if and only if \(\operatorname{span}(\mathrm{W})=\mathrm{W}\).

Short Answer

Expert verified
To show that a subset \(W\) of a vector space \(V\) is a subspace of \(V\) if and only if \(\operatorname{span}(W) = W\), we first assume that \(W\) is a subspace of \(V\), and show that \(W = \operatorname{span}(W)\) by proving that \(W \subseteq \operatorname{span}(W)\) and \(\operatorname{span}(W) \subseteq W\). Next, we assume that \(\operatorname{span}(W) = W\) and verify the three properties of a subspace: the zero vector is in \(W\), the sum of any two vectors in \(W\) is also in \(W\), and the product of any scalar with a vector in \(W\) is also in \(W\). Since both implications are proven, we conclude that a subset \(W\) of a vector space \(V\) is a subspace of \(V\) if and only if \(\operatorname{span}(W) = W\).

Step by step solution

01

Prove that \(W\) being a subspace implies \(\operatorname{span}(W) = W\)

Let's first assume that \(W\) is a subspace of vector space \(V\). As the span of \(W\) contains all linear combinations of vectors of \(W\), the whole subspace \(W\) is included in \(\operatorname{span}(W)\). So, we have \(W \subseteq \operatorname{span}(W)\). Since \(W\) is a subspace, by definition, it contains all linear combinations of its vectors, so it also contains \(\operatorname{span}(W)\). Thus, we have \(\operatorname{span}(W) \subseteq W\). Combining these two statements, we have \(W = \operatorname{span}(W)\).
02

Prove that \(\operatorname{span}(W) = W\) implies \(W\) is a subspace

Now, let's assume that \(\operatorname{span}(W) = W\). We need to verify the three properties of a subspace of a vector space to prove that \(W\) is a subspace. 1. Since \(\operatorname{span}(W)\) is always a subspace of \(V\), it must contain the zero vector. Therefore, if \(\operatorname{span}(W) = W\), it implies that the zero vector is in \(W\). 2. Let \(\vec{u}, \vec{v} \in W\). Since \(\operatorname{span}(W) = W\), we can write \(\vec{u}, \vec{v}\) as linear combinations of vectors in \(W\). Adding these two linear combinations gives another linear combination in \(W\), and since \(\operatorname{span}(W) = W\), the sum of these two vectors (\(\vec{u} + \vec{v}\)) must also be in \(W\). 3. Let \(\vec{u} \in W\) and let \(c \in \mathbb{F}\). Since \(\operatorname{span}(W) = W\), we can represent \(\vec{u}\) as a linear combination of vectors in \(W\). Multiplying this linear combination by the scalar \(c\) gives us another linear combination in \(W\), and since \(\operatorname{span}(W) = W\), the product \(c\vec{u}\) must also be in \(W\). As \(W\) satisfies all three properties of a subspace, we have proven that if \(\operatorname{span}(W) = W\), then \(W\) is indeed a subspace of \(V\). Thus, we have shown that a subset \(W\) of a vector space \(V\) is a subspace of \(V\) if and only if \(\operatorname{span}(W) = W\).

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Most popular questions from this chapter

Prove the following generalization of the replacement theorem. Let \(\beta\) be a basis for a vector space \(\mathrm{V}\), and let \(S\) be a linearly independent subset of V. There exists a subset \(S_{1}\) of \(\beta\) such that \(S \cup S_{1}\) is a basis for \(\mathrm{V}\).

Solve the following systems of linear equations by the method introduced in this section. (a) \(2 x_{1}-2 x_{2}-3 x_{3}=-2\) (a) $\begin{aligned} 3 x_{1}-3 x_{2}-2 x_{3}+5 x_{4} &=7 \\ x_{1}-x_{2}-2 x_{3}-x_{4} &=-3 \end{aligned}$ \(3 x_{1}-7 x_{2}+4 x_{3}=10\) (b) \(x_{1}-2 x_{2}+x_{3}=3\) \(2 x_{1}-x_{2}-2 x_{3}=6\) \(x_{1}+2 x_{2}-x_{3}+x_{4}=5\) (c) \(\quad x_{1}+4 x_{2}-3 x_{3}-3 x_{4}=6\) \(2 x_{1}+3 x_{2}-x_{3}+4 x_{4}=8\)Solve the following systems of linear equations by the method introduced in this section. (a) \(2 x_{1}-2 x_{2}-3 x_{3}=-2\) (a) $\begin{aligned} 3 x_{1}-3 x_{2}-2 x_{3}+5 x_{4} &=7 \\ x_{1}-x_{2}-2 x_{3}-x_{4} &=-3 \end{aligned}$ \(3 x_{1}-7 x_{2}+4 x_{3}=10\) (b) \(x_{1}-2 x_{2}+x_{3}=3\) \(2 x_{1}-x_{2}-2 x_{3}=6\) \(x_{1}+2 x_{2}-x_{3}+x_{4}=5\) (c) \(\quad x_{1}+4 x_{2}-3 x_{3}-3 x_{4}=6\) \(2 x_{1}+3 x_{2}-x_{3}+4 x_{4}=8\)

Recall from Example 3 in Section \(1.3\) that the set of diagonal matrices in \(\mathrm{M}_{2 \times 2}(F)\) is a subspace. Find a linearly independent set that generates this subspace.

Let \(u\) and \(v\) be distinct vectors in a vector space \(\mathrm{V}\). Show that \(\\{u, v\\}\) is linearly dependent if and only if \(u\) or \(v\) is a multiple of the other.

Let \(M\) be a square upper triangular matrix (as defined on page 19 of Section 1.3) with nonzero diagonal entries. Prove that the columns of \(M\) are linearly independent.

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