Infinite Dimension Vector Space: Showing Kernel & Image Dimensions

In summary: I think you are confusing the index denoting which sequence in a finite collection of sequences with the index denoting the term in a single sequence.so each of the v's are supposed to individual collections of numbers themselves??A somewhat more straightforward way to show that V is not finite dimensional is to show that for any natural number n, you can find n + 1 independent vectors in V, so V cannot be n-dimensional for any n.well ok then suppose V = span\{v_{1},v_{2},...,v_{N}\} also r_{1} v_{1} + r_{2} v_{2} + ... r_{N} v_{N}=
  • #1
stunner5000pt
1,465
4
Let V consists of all sequences [x0,x1x,...) of numbers and define vectors operations
[tex] [x_{0},x_{1},...) + [y_{0},y_{1},...) = (x_{0}+y_{0},...) [/tex]
[tex] r[x_{0},x_{1},...) = [rx_{0},...} [/tex]


SHow taht V is a vector space of infinite dimension

Well for some linear transformation T: V- >V

dim V = dim(ker T) + dim(im T)
ker T = {T(v) = 0, v in V}
i don't see how i can find the dimension of the ker or image for the matter...

Any ideas/suggestions?
 
Physics news on Phys.org
  • #2
Why are you looking at linear transformations? And I'm pretty sure that formula you're using only works for finite dimensional V, otherwise it would give equations of the form [itex]\infty = X + Y[/itex]. Either way, it's irrelevant to the question you've asked. First, just show that V is a vector space, i.e. that V under the given operations satisfies the vector space axioms. Then, show that V is not finite dimensional, by showing that no finite collection of vectors in V spans V. To do this, take an arbitrary finite collection of vectors, and construct a new vector that is not in the span of this collection.
 
  • #3
AKG said:
Why are you looking at linear transformations? And I'm pretty sure that formula you're using only works for finite dimensional V, otherwise it would give equations of the form [itex]\infty = X + Y[/itex]. Either way, it's irrelevant to the question you've asked. First, just show that V is a vector space, i.e. that V under the given operations satisfies the vector space axioms. Then, show that V is not finite dimensional, by showing that no finite collection of vectors in V spans V. To do this, take an arbitrary finite collection of vectors, and construct a new vector that is not in the span of this collection.

this arbitrary collection of vectors, should be in V? Since V is collection of all sequences of numbers, it shouldn't matter?

So form the question isn't
[tex] V = span[x_{0},x_{1},...) [/tex]
our finite collection is
[tex] W = span\{v_{1},v_{2},...,v_{N}\} = r_{1} v_{1} + r_{2} v_{2} + ... r_{N} v_{N}[/tex]
No matter what the N is, W cannot span V because V doesn't haev a finite N. WE are trying to span an infinite span with a finite span. So it isn't possible? Unless N - > infinity?
 
  • #4
stunner5000pt said:
this arbitrary collection of vectors, should be in V? Since V is collection of all sequences of numbers, it shouldn't matter?

So form the question isn't
[tex] V = span[x_{0},x_{1},...) [/tex]
our finite collection is
[tex] W = span\{v_{1},v_{2},...,v_{N}\} = r_{1} v_{1} + r_{2} v_{2} + ... r_{N} v_{N}[/tex]
No matter what the N is, W cannot span V because V doesn't haev a finite N. WE are trying to span an infinite span with a finite span. So it isn't possible? Unless N - > infinity?

I think you are confusing the index denoting which sequence in a finite collection of sequences with the index denoting the term in a single sequence.
 
  • #5
so each of the v's are supposed to individual collections of numbers themselves??
 
  • #6
A somewhat more straightforward way to show that V is not finite dimensional is to show that for any natural number n, you can find n + 1 independent vectors in V, so V cannot be n-dimensional for any n.
 
  • #7
well ok then suppose
[tex] V = span\{v_{1},v_{2},...,v_{N}\} [/tex]
also
[tex] r_{1} v_{1} + r_{2} v_{2} + ... r_{N} v_{N}= 0 [/tex]
and the r i are zero

so far so good?
since V is a collection of all possible numbers there must be exist an [itex] v_{n +1} [/tex] st vn+1 is in V
but how do i prove that v n+1 is not in the span??
 
  • #8
No. What do you mean the ri are zero? Do you just mean to say that the vi are linearly independent? V is not a collection of all possible numbers, V is a collection of sequences. And what do you mean that "there must exist a vn+1 such that vn+1 is in V"? That sentence there is essentially meaningless, it says nothing more than that V is nonempty. Here are three sequences:

v = [1, 2, 3, 5, 0, -1, 2, 1, 2, 1, 2, 1, 2, 1, ...)
w = [0, 0, 1, 2, 1, 1, 1, 2.3, 8.99, 8.99, 8.99, 8.99, 8.99, ...)
u = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, ...)

Let a = 1, b = 1, c = 2. What is av + bw + cu? Just tell me the first 4 entries in the answer. Now, suppose I tell you that I have some constants a', b', and c' such that a'v + b'w + c'u has the same first three entries as av + bw + cu (which is just v + w + 2u). What can you say about the fourth entry in a'v + b'w + c'u?
 
  • #9
AKG said:
No. What do you mean the ri are zero? Do you just mean to say that the vi are linearly independent? V is not a collection of all possible numbers, V is a collection of sequences. And what do you mean that "there must exist a vn+1 such that vn+1 is in V"? That sentence there is essentially meaningless, it says nothing more than that V is nonempty. Here are three sequences:

v = [1, 2, 3, 5, 0, -1, 2, 1, 2, 1, 2, 1, 2, 1, ...)
w = [0, 0, 1, 2, 1, 1, 1, 2.3, 8.99, 8.99, 8.99, 8.99, 8.99, ...)
u = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, ...)

Let a = 1, b = 1, c = 2. What is av + bw + cu? Just tell me the first 4 entries in the answer. Now, suppose I tell you that I have some constants a', b', and c' such that a'v + b'w + c'u has the same first three entries as av + bw + cu (which is just v + w + 2u). What can you say about the fourth entry in a'v + b'w + c'u?

so
v + w + 2u = (5,8,14,21,...)

so for a'v + b' w + c'u the fourth entry may or may not be different?
 
  • #10
so
v + w + 2u = (5,8,14,21,...)

so for a'v + b' w + c'u the fourth entry may or may not be different?
It may not be different? How so? How about this: I've told you that a'v + b'w + c'u also has first three entries 5, 8, and 14. Here, the v, w, and u are the same as before, but my a', b', and c' might be different. See if you can solve for a', b', and c'. See if they really can be different. If not, then the fourth entry must be the same.
 
  • #11
it can't be different because the a',b,',c' are all unique. I don't know what i was thinkin when i was saying taht th3ey may not be different
 
  • #12
stunner5000pt said:
it can't be different because the a',b,',c' are all unique.
What do you mean, "the a', b', c' are all unique"? The point is that if av + bw + cu and a'v + b'w + c'u have the same first three entries, then ALL their entries are the same, and a' = a, b' = b, and c' = c, assuming that {v,w,u} is a linearly independent basis. Can you prove this? If so, what can you say about the possibility of v, w, and u spanning V? Generalize this.
 

FAQ: Infinite Dimension Vector Space: Showing Kernel & Image Dimensions

What is an infinite dimension vector space?

An infinite dimension vector space is a mathematical concept used to describe a set of vectors that can be added together and multiplied by scalars. Unlike finite dimension vector spaces, which have a finite number of basis vectors, an infinite dimension vector space has an infinite number of basis vectors.

How do you show the kernel and image dimensions of an infinite dimension vector space?

To show the kernel and image dimensions of an infinite dimension vector space, you can use the rank-nullity theorem. This theorem states that the sum of the dimension of the kernel and the dimension of the image is equal to the dimension of the vector space. Therefore, if you know the dimension of the vector space, you can calculate the dimension of the kernel and the image.

What is the kernel of an infinite dimension vector space?

The kernel of an infinite dimension vector space is the set of all vectors that are mapped to the zero vector by a linear transformation. In other words, it is the set of all vectors that result in a zero output when the transformation is applied to them.

What is the image of an infinite dimension vector space?

The image of an infinite dimension vector space is the set of all possible outputs of a linear transformation. It is the range of the transformation and is a subset of the vector space's codomain.

What is the relationship between the kernel and image dimensions of an infinite dimension vector space?

The relationship between the kernel and image dimensions of an infinite dimension vector space is that they are complementary. This means that the dimensions of the kernel and the image add up to the dimension of the vector space. In other words, the dimension of the kernel plus the dimension of the image equals the dimension of the vector space.

Similar threads

Replies
10
Views
2K
Replies
5
Views
2K
Replies
1
Views
1K
Replies
18
Views
2K
Replies
8
Views
2K
Replies
13
Views
1K
Replies
7
Views
1K
Back
Top