Cardinality vs. Dimension, Solution of homogeneous equations

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SUMMARY

The discussion centers on the distinction between cardinality and dimension in vector spaces, particularly in the context of systems of linear equations over the field Zp. It is established that the cardinality of a vector space is defined as the number of elements in the space, while the dimension refers to the number of vectors in a basis for that space. The participants clarify that for a finite-dimensional vector space over Z/pZ, the number of distinct solutions to a system of linear equations is a power of p, specifically pt, where t is the dimension of the solution space.

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  • Understanding of vector spaces and their properties
  • Familiarity with linear algebra concepts, including basis and dimension
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  • Experience with solving systems of linear equations
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Locoism
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Homework Statement



Show that the number of distinct solutions of a system of linear equations (in any number of equations, and unknowns) over the field Zp is either 0, or a power of p.


The Attempt at a Solution



First off, I was wondering whether there is any difference between "cardinality" of a vector space and "dimension". Aren't both just the size of the basis? (the cardinality of V = dim(V)??)
This is just because my prof keeps switching between both and confusing the rest of us.

for the question, suppose the system is m equations in n unknowns.
The case of 0 is trivial, so if we take the subset W of Zpn of solutions over Zp, W is a vector space, and dim(W) = n.
I'm not sure how to put this technically, but for each unknown more than the number of equations (say we parametrize them) we have p possible choices, and thus pt solutions.

There's something missing, but am I on the right track?
 
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No. The cardinality of V isn't equal to the dimension of V. Easy counterexample: an n-dimensional vector space over Z/pZ has p^n elements (which is essentially what you've noticed with your W). What is true is that the cardinality of a basis for V is equal to the dimension of V (and this is the definition of dimension).

Anyway, you've basically solved the problem, although you've said some questionable things. You've noticed W is a finite-dimensional vector space over Z/pZ, which is correct. If the dimension of W is t (it's not necessarily n), then you can choose a basis w_1,...,w_t for W. Any element of W will thus look like a_1w_1+...+a_tw_t with a_i in Z/pZ. Now count these suckers.
 
morphism said:
No. The cardinality of V isn't equal to the dimension of V. Easy counterexample: an n-dimensional vector space over Z/pZ has p^n elements (which is essentially what you've noticed with your W). What is true is that the cardinality of a basis for V is equal to the dimension of V (and this is the definition of dimension).
Oh ok thank you. So what is cardinality then (talking about a vector space)?

morphism said:
If the dimension of W is t (it's not necessarily n), then you can choose a basis w_1,...,w_t for W. Any element of W will thus look like a_1w_1+...+a_tw_t with a_i in Z/pZ. Now count these suckers.
So then the dimension is pt! It makes sense to say dim(W) = t, but I don't understand why it isn't n:
The system is in n unknowns, and as you said, you can form a basis {w1, w2,...,wt}. But in the standard basis, you would have {e1,...,en}, thus dim(W) = n since all bases of W have the same cardinality. Why not n?
 
Locoism said:
Oh ok thank you. So what is cardinality then (talking about a vector space)?
The cardinality of a vector space is just its cardinality as a set.
So then the dimension is pt! It makes sense to say dim(W) = t, but I don't understand why it isn't n:
The system is in n unknowns, and as you said, you can form a basis {w1, w2,...,wt}. But in the standard basis, you would have {e1,...,en}, thus dim(W) = n since all bases of W have the same cardinality. Why not n?
Try solving
x_1 + x_2 = 0
x_1 + x_2 + x_3 = 0
in Z/2Z, for example. Is dimW=3?
 
morphism said:
The cardinality of a vector space is just its cardinality as a set.
Thank you, makes perfect sense.
morphism said:
Try solving
x_1 + x_2 = 0
x_1 + x_2 + x_3 = 0
in Z/2Z, for example. Is dimW=3?
Oh alright. Essentially saying dimW = t is just saying it is finite dimensional.
 

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