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Vector Spaces

Vector space axioms stated over an arbitrary field and verified in full for real n-tuples under coordinatewise addition and scalar multiplication.

A Complete Introduction to Abstract Algebra, Vector Spaces

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14 exercises

Exercise 1

Prove that Rn\mathbb{R}^{n} under addition as defined in 1.2 is an abelian group.

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Exercise 2

Let

Is WW a vector space?

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Exercise 3

Prove 1.7.

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Exercise 4

Let FF be a field and nn be a non-negative integer. Prove that

is a vector space over FF using the definitions of polynomial addition and scalar multiplication.(Warning: be careful with the zero polynomial!)

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Exercise 5

Let the vector space

Let S={x,x+2,x2+2,x2+2x+3}S=\{x,x+2,x^{2}+2,x^{2}+2x+3\}. Prove or disprove: SS is a spanning set for VV.

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Exercise 6

For the vector space

over Q\mathbb{Q}, which of the following sets of vectors of VV is/are linearly independent?

  1. S={1,x+2}S=\{1,x+2\}

  2. T={1,x+2,x2+2x+3}T=\{1,x+2,x^{2}+2x+3\}

  3. U={1,x+2,x2+2x+3,x2−2x−3}U=\{1,x+2,x^{2}+2x+3,x^{2}-2x-3\}

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Exercise 7

Prove that if the set SS is a basis for the vector space VV over a field FF, then every vector in VV can be expressed uniquely as a linear combination of the vectors in SS.

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Exercise 8

For the vector space VV given in 1.6, which of the following sets of vectors of VV is/are a basis for VV?

  1. S={1,x+2}S=\{1,x+2\}

  2. T={1,x+2,x2+2x+3}T=\{1,x+2,x^{2}+2x+3\}

  3. U={1,x+2,x2+2x+3,x2−2x−3}U=\{1,x+2,x^{2}+2x+3,x^{2}-2x-3\}

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Exercise 9

What is the dimension of the vector space VV in 1.6?

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Problem 1

Let UU and WW be subspaces of a vector space VV over the field FF.

  1. Prove that U∩WU\cap W is a subspace of VV.

  2. Define the set

    Prove that U+WU+W is a subspace of VV.

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Problem 2

Suppose VV is a vector space over the field FF with basis {v1,v2,v3}\{\mathbf{v}_{1},\mathbf{v}_{2},\mathbf{v}_{3}\}. Let

u1\displaystyle\mathbf{u}_{1} =v1,\displaystyle=\mathbf{v}_{1}, u2\displaystyle\mathbf{u}_{2} =v1+v2, and\displaystyle=\mathbf{v}_{1}+\mathbf{v}_{2},\text{ and} u3\displaystyle\mathbf{u}_{3} =v1+v2+v3.\displaystyle=\mathbf{v}_{1}+\mathbf{v}_{2}+\mathbf{v}_{3}.

Prove that {u1,u2,u3}\{\mathbf{u}_{1},\mathbf{u}_{2},\mathbf{u}_{3}\} is also a basis for VV.

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Problem 3

Let V=R4V=\mathbb{R}^{4} be a vector space over R\mathbb{R}.

  1. Let the set

    Show that RR is not a subspace of VV.

  2. Let the set

    Show that SS is a subspace of VV. Find a basis for SS and hence state the value of dim⁡(S)\dim(S).

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Problem 4

Let FF be a field and nn be a positive integer. Define addition and scalar multiplication by

and

respectively, for any (u1,u2,…,un),(v1,v2,…,vn)∈Fn(u_{1},u_{2},\dots,u_{n}),(v_{1},v_{2},\dots,v_{n})\in F^{n} and α∈F\alpha\in F. Prove that FnF^{n} is a vector space over FF under the above definitions of addition and scalar multiplication.

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Problem 5

The analogue of a group/ring homomorphism for vector spaces is called a linear transformation. If VV and WW are vector spaces over a field FF, then the map T:V→WT:V\to W is a linear transformation if it preserves vector addition and scalar multiplication, that is,

T(u+v)\displaystyle T(\mathbf{u}+\mathbf{v}) =T(u)+T(v) and\displaystyle=T(\mathbf{u})+T(\mathbf{v})\text{ and} T(αu)\displaystyle T(\alpha\mathbf{u}) =αT(u)\displaystyle=\alpha T(\mathbf{u})

for all u,v∈V\mathbf{u},\mathbf{v}\in V and α∈F\alpha\in F.

To prove that two vector spaces are isomorphic, one needs to find a bijective linear transformation.

With this information, p…

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Adapted from A Complete Introduction to Abstract Algebra © 2022–2026 Kan Onn Kit. Licensed under CC BY-SA 4.0. Source: A Complete Introduction to Abstract Algebra. Imported at revision a559e8b.