Vector Spaces
Vector space axioms stated over an arbitrary field and verified in full for real n-tuples under coordinatewise addition and scalar multiplication.
14 exercises
Exercise 1
Prove that under addition as defined in 1.2 is an abelian group.
Exercise 2
Let
Is a vector space?
Exercise 3
Prove 1.7.
Exercise 4
Let be a field and be a non-negative integer. Prove that
is a vector space over using the definitions of polynomial addition and scalar multiplication.(Warning: be careful with the zero polynomial!)
Exercise 5
Let the vector space
Let . Prove or disprove: is a spanning set for .
Exercise 6
For the vector space
over , which of the following sets of vectors of is/are linearly independent?
Exercise 7
Prove that if the set is a basis for the vector space over a field , then every vector in can be expressed uniquely as a linear combination of the vectors in .
Exercise 8
For the vector space given in 1.6, which of the following sets of vectors of is/are a basis for ?
Exercise 9
What is the dimension of the vector space in 1.6?
Problem 1
Let and be subspaces of a vector space over the field .
-
Prove that is a subspace of .
-
Define the set
Prove that is a subspace of .
Problem 2
Suppose is a vector space over the field with basis . Let
Prove that is also a basis for .
Problem 3
Let be a vector space over .
-
Let the set
Show that is not a subspace of .
-
Let the set
Show that is a subspace of . Find a basis for and hence state the value of .
Problem 4
Let be a field and be a positive integer. Define addition and scalar multiplication by
and
respectively, for any and . Prove that is a vector space over under the above definitions of addition and scalar multiplication.
Problem 5
The analogue of a group/ring homomorphism for vector spaces is called a linear transformation. If and are vector spaces over a field , then the map is a linear transformation if it preserves vector addition and scalar multiplication, that is,
for all and .
To prove that two vector spaces are isomorphic, one needs to find a bijective linear transformation.
With this information, p…
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.