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A linear space has to agree with closure axioms.So,on the basis that,can a linear space be defined so that it is a finite set?

3 Answers3

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Yes, it's possible to have finite vector spaces ! That is the case if and only if our vector space (also called linear space) is defined over a finite field and of finite dimension. (as pointed out by Joe, that's for nonzero vector spaces, $\{ 0 \}$ is always finite no matter over which field it is defined)

For example, we can define a two dimensional space over $\mathbb{F_2}$ (its vectors will simply be

$$\begin{pmatrix}0 \\\ 0\end{pmatrix} \begin{pmatrix}1 \\\ 0\end{pmatrix} \begin{pmatrix}0 \\\ 1\end{pmatrix} \begin{pmatrix}1 \\\ 1\end{pmatrix}$$

If you are not familiar with finite fields then indeed, you cannot construct non trivial (that is non $ \\{ 0 \\} $) vector spaces over infinite fields as pointed out by Jykri Lahtonen

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The answer is yes. First of all the trivial example, the vector space $\{\mathbf 0\}$ only consisting of the zero vector. More interestingly:

A vector space over a field $\mathbb F$ has a finite number of elements if and only if $\mathbb F$ is a finite field and the vector space has a finite dimension (and is non-trivial).

This means that most of the "intuitive" vector spaces you get to know first when learning algebra e.g. $\mathbb R^n$ over $\mathbb R$, the vector space contains infinitely many elements as the field $\mathbb R$ is not finite.

vitamin d
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Linear space is not a set, it is a combination of abelian group and field related through so called scalar multiplication.

So I understand your question as: can the underlying set of vertices be finite? The answer is of course yes. The trivial vector space $\{0\}$ has exactly one element, regardless of the choice of field.

However whether other finite sets can form a vector space depends on the underlying field. If it is infinite then every non-trivial vector space is infinite.

On the other hand if a field $k$ is finite, then it is well known that it has $p^n$ elements for some prime $p$, and therefore every finite dimensional vector space over $k$ has $p^{dn}$ elements for some $d$. In particular if two different primes divide size of $X$ then it cannot form a vector space. While every set of size $p^m$ for some prime $p$ is indeed a vector space over some field (e.g. $\mathbb{Z}/p\mathbb{Z}$).

freakish
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  • Sorry. But I read a definition of linear space as a set."Let V denote a non empty set of objects, called elements.The set V is called a linear space if it satisfies the following axioms such as closure axioms, axioms of addition, axioms for multiplication by scalers & existence of negatives, zero elements. -From Calculus Vol 2,Tom Apostol – Sumit Roy Dec 31 '23 at 15:00
  • @SumitRoy well, it is incorrect. Formally at least. However ultimately we can see that the author means the same thing, that vector space consists of three components: a set of vertices, addition function and multiplication function. It is not just the set of vertices. – freakish Dec 31 '23 at 15:17
  • Can u suggest me any resource from which I can verify & figure out myself that linear space is not something like set? – Sumit Roy Dec 31 '23 at 15:19
  • Btw, this book is quite old, the first edition is 1962 or something. For the modern definition of vector space you can see wiki: https://en.wikipedia.org/wiki/Vector_space I will search for something to recommend later. – freakish Dec 31 '23 at 15:26