Dimension Characterizes Isomorphism
An equivalence relation whose classes are labeled by a single number, so any two spaces of equal dimension are copies of one another.
20 exercises
Exercise 1
Decide if the spaces are isomorphic.
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(a) , (b) , (c) , (d) , (e) ,
Exercise 2
Which of these spaces are isomorphic to each other?
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(a) (b) (c) (d) (e)
Exercise 3
Consider the isomorphism where . Find the image of each of these elements of the domain.
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(a) ; (b) ; (c)
Exercise 4
For which is the space isomorphic to ?
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the plane subset of
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the vector space of linear combinations of three letters
Exercise 5
Show that if then .
Exercise 6
Is ?
Exercise 7
Are any two planes through the origin in isomorphic?
Exercise 8
Find a set of equivalence class representatives other than the set of ’s.
Exercise 9
True or false: between any -dimensional space and there is exactly one isomorphism.
Exercise 10
Can a vector space be isomorphic to one of its proper subspaces?
Exercise 11
This subsection shows that for any isomorphism, the inverse map is also an isomorphism. This subsection also shows that for a fixed basis of an -dimensional vector space , the map is an isomorphism. Find the inverse of this map.
Exercise 12
Prove these facts about matrices.
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The row space of a matrix is isomorphic to the column space of its transpose.
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The row space of a matrix is isomorphic to its column space.
Exercise 13
Show that the function from Theorem 2.3 is well-defined.
Exercise 14
Is the proof of Theorem 2.3 valid when ?
Exercise 15
For each, decide if it is a set of isomorphism class representatives.
Exercise 16
Let be a correspondence between vector spaces and (that is, a map that is one-to-one and onto). Show that the spaces and are isomorphic via if and only if there are bases and such that corresponding vectors have the same coordinates: .
Exercise 17
Consider the isomorphism .
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Vectors in a real space are orthogonal if and only if their dot product is zero. Give a definition of orthogonality for polynomials.
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The derivative of a member of is in . Give a definition of the derivative of a vector in .
Exercise 18
Does every correspondence between bases, when extended to the spaces, give an isomorphism? That is, suppose that is a vector space with basis and that is a correspondence such that is basis for . Must sending to be an isomorphism?
Exercise 19
(Requires the subsection on Combining Subspaces, which is optional.) Suppose that and that is isomorphic to the space under the map . Show that .
Exercise 20
Show that this is not a well-defined function from the rational numbers to the integers: with each fraction, associate the value of its numerator.
Adapted from Linear Algebra © 2016 Jim Hefferon. Licensed under CC BY-SA 3.0 US. Source: Linear Algebra. Imported at revision df2262e.