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Vector Spaces: exercises
Vector Spaces: exercises — from Judson, Abstract Algebra: Theory and Applications.
Practice (16)
Try each one on paper first. Reveal the answer to check; verified ones can be opened in the solver for every step.
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If \(F\) is a field, show that \(F[x]\) is a vector space over \(F\), where the vectors in \(F[x]\) are polynomials. Vector addition is polynomial addition, and scalar multiplication is defined by \(\alpha p(x)\) for \(\alpha \in F\).
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Prove that \({\mathbb Q }( \sqrt{2}\, )\) is a vector space.
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Let \({\mathbb Q }( \sqrt{2}, \sqrt{3}\, )\) be the field generated by elements of the form \(a + b \sqrt{2} + c \sqrt{3} + d \sqrt{6}\), where \(a, b, c, d\) are in \({\mathbb Q}\). Prove that \({\mathbb Q }( \sqrt{2}, \sqrt{3}\, )\) is a vector space of dimension \(4\) over \({\mathbb Q}\). Find a basis for \({\mathbb Q }( \sqrt{2}, \sqrt{3}\, )\).
答えを明らかにしろ
Hint:
\({\mathbb Q}(\sqrt{2}, \sqrt{3}\, )\) has basis \(\{ 1, \sqrt{2}, \sqrt{3}, \sqrt{6}\, \}\) over \({\mathbb Q}\).
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Prove that the complex numbers are a vector space of dimension \(2\) over \({\mathbb R}\).
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Prove that the set \(P_n\) of all polynomials of degree less than \(n\) form a subspace of the vector space \(F[x]\). Find a basis for \(P_n\) and compute the dimension of \(P_n\).
答えを明らかにしろ
Hint:
The set \(\{ 1, x, x^2, \ldots, x^{n-1} \}\) is a basis for \(P_n\).
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Let \(F\) be a field and denote the set of \(n\)-tuples of \(F\) by \(F^n\). Given vectors \(u = (u_1, \ldots, u_n)\) and \(v = (v_1, \ldots, v_n)\) in \(F^n\) and \(\alpha\) in \(F\), define vector addition by \[\begin{aligned}\end{aligned}\] and scalar multiplication by \[\begin{aligned}\end{aligned}\]. Prove that \(F^n\) is a vector space of dimension \(n\) under these operations.
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Which of the following sets are subspaces of \({\mathbb R}^3\)? If the set is indeed a subspace, find a basis for the subspace and compute its dimension.
\(\{ (x_1, x_2, x_3) : 3 x_1 - 2 x_2 + x_3 = 0 \}\)
\(\{ (x_1, x_2, x_3) : 3 x_1 + 4 x_3 = 0, 2 x_1 - x_2 + x_3 = 0 \}\)
\(\{ (x_1, x_2, x_3) : x_1 - 2 x_2 + 2 x_3 = 2 \}\)
\(\{ (x_1, x_2, x_3) : 3 x_1 - 2 x_2^2 = 0 \}\)
答えを明らかにしろ
Hint:
(a) Subspace of dimension \(2\) with basis \(\{(1, 0, -3), (0, 1, 2) \}\); (d) not a subspace
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Show that the set of all possible solutions \((x, y, z) \in {\mathbb R}^3\) of the equations \[\begin{aligned}Ax + B y + C z & = 0 \\ D x + E y + C z & = 0\end{aligned}\] form a subspace of \({\mathbb R}^3\).
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Let \(W\) be the subset of continuous functions on \([0, 1]\) such that \(f(0) = 0\). Prove that \(W\) is a subspace of \(C[0, 1]\).
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Let \(V\) be a vector space over \(F\). Prove that \(-(\alpha v) = (-\alpha)v = \alpha(-v)\) for all \(\alpha \in F\) and all \(v \in V\).
答えを明らかにしろ
Hint:
Since \(0 = \alpha 0 = \alpha(-v + v) = \alpha(-v) + \alpha v\), it follows that \(- \alpha v = \alpha(-v)\).
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Let \(V\) be a vector space of dimension \(n\). Prove each of the following statements.
If \(S = \{v_1, \ldots, v_n \}\) is a set of linearly independent vectors for \(V\), then \(S\) is a basis for \(V\).
If \(S = \{v_1, \ldots, v_n \}\) spans \(V\), then \(S\) is a basis for \(V\).
If \(S = \{v_1, \ldots, v_k \}\) is a set of linearly independent vectors for \(V\) with \(k \lt n\), then there exist vectors \(v_{k + 1}, \ldots, v_n\) such that \[\begin{aligned}\end{aligned}\] is a basis for \(V\).
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Prove that any set of vectors containing \({\mathbf 0}\) is linearly dependent.
答えを明らかにしろ
Hint:
Let \(v_0 = 0, v_1, \ldots, v_n \in V\) and \(\alpha_0 \neq 0, \alpha_1, \ldots, \alpha_n \in F\). Then \(\alpha_0 v_0 + \cdots + \alpha_n v_n = 0\).
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Let \(V\) be a vector space. Show that \(\{ {\mathbf 0} \}\) is a subspace of \(V\) of dimension zero.
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If a vector space \(V\) is spanned by \(n\) vectors, show that any set of \(m\) vectors in \(V\) must be linearly dependent for \(m \gt n\).
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Let \(V\) and \(W\) be finite dimensional vector spaces of dimension \(n\) over a field \(F\). Suppose that \(T: V \rightarrow W\) is a vector space isomorphism. If \(\{ v_1, \ldots, v_n \}\) is a basis of \(V\), show that \(\{ T(v_1), \ldots, T(v_n) \}\) is a basis of \(W\). Conclude that any vector space over a field \(F\) of dimension \(n\) is isomorphic to \(F^n\).
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Let \(U\) and \(V\) be subspaces of a vector space \(W\). The sum of \(U\) and \(V\), denoted \(U + V\), is defined to be the set of all vectors of the form \(u + v\), where \(u \in U\) and \(v \in V\).
Prove that \(U + V\) and \(U \cap V\) are subspaces of \(W\).
If \(U + V = W\) and \(U \cap V = {\mathbf 0}\), then \(W\) is said to be the direct sum. In this case, we write \(W = U \oplus V\). \(U \oplus V\) direct sum of vector spaces \(U\) and \(V\) Show that every element \(w \in W\) can be written uniquely as \(w = u + v\), where \(u \in U\) and \(v \in V\).
Let \(U\) be a subspace of dimension \(k\) of a vector space \(W\) of dimension \(n\). Prove that there exists a subspace \(V\) of dimension \(n-k\) such that \(W = U \oplus V\). Is the subspace \(V\) unique?
If \(U\) and \(V\) are arbitrary subspaces of a vector space \(W\), show that \[\begin{aligned}\end{aligned}\].
答えを明らかにしろ
Hint:
(a) Let \(u, u' \in U\) and \(v, v' \in V\). Then \[\begin{aligned}(u + v) + (u' + v') & = (u + u') + (v + v') \in U + V \\ \alpha(u + v) & = \alpha u + \alpha v \in U + V\end{aligned}\].
Symbols used here
The non-negative number whose square (n-th power) is x.
x belongs to A; every element of A is in B.
In either; in both; in A but not B.
Naturals, integers, rationals, reals, complex numbers.
Marks the point where the statement has been established.
n divides a − b; a and b have the same remainder.
b is a multiple of a; the largest number dividing both.
A set with an operation; the do-nothing element; the element that undoes g.
Same structure; the group of cosets of a normal subgroup N.
The remainders 0…n−1 with clock arithmetic.
The set of morphisms; do g then f.
Questions people ask
What is a group, in plain words?
A set with one operation that is associative, has an identity, and lets every element be undone. Symmetries of any object form a group — that is where the idea came from.
What is the difference between a ring and a field?
A ring has addition and multiplication that behave like the integers (you cannot always divide); a field is a ring where every non-zero element has a reciprocal, like the rationals or the reals.
あなた自身を試してみてください
Parts of this page are adapted from Judson, Abstract Algebra: Theory and Applications (GFDL 1.3). Condensed and re-explained here; errors are ours.
ここに Abstract Algebra
GroupsSubgroups, cosets and Lagrange's theoremCyclic groups and permutation groupsHomomorphisms, normal subgroups and quotient groupsRings and fieldsGalois theory: why the quintic has no formula