## Vladimir Dobrushkin

http://math.uri.edu/~dobrush/

Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the appendix entitled GNU Free Documentation License.

# Subspaces

A subset *W* of a vector space *V* is called a **subspace** of *V* if *W* is itself a
vector space under the addition and scalar multiplication defined on *V*.

In general, to show that a nonempty set *W* with two operations (inner operation is usually called
addition and outer operation of multiplication by scalars) is a vector space one must verify the ten vector space
axioms. However, if *W* is a subspace of a known vector space *V*,
then certain axioms need not be verified because they are "inherited" from *V*. For example, commutativity property
needs not to be verified because it holds for all vectors from *V*.

Theorem: If *W* is a nonempty set of vectord froma vector space *V*, then
*W* is a subspace of *V* if and only if the following conditions hold.

- If
**u**and**v**are vectors in*W*, then**u + v**is in*W*. - If
*k*is a scalar and**u**is a vector in*W*, then*k***u**is in*W*. ■

*n*-dimensional real space, and it is called the

**standard basis**. Its dimension is

*n*.

*i*-th row and

*j*-th column. Then the set \( {\bf M}_{i,j} \ : \ 1 \le i \le m , \ 1 \le j \le n \) is a basis for the set of all such real matrices. Its dimension is

*mn*.

*n*. It has dimension

*n*+1. ■

If the vectors \( \left\{ {\bf u}_1 , {\bf u}_2 , \ldots , {\bf u}_n \right\} \)
form a basis for a vector space *V*, then every vector in *V* can be uniquely expressed in the form

**v**determines a unqiue

*n*-tuple of scalars \( \left[ \alpha_1 , \alpha_2 , \ldots , \alpha_n \right] \) and, conversely, each

*n*-tuple of scalars determines a unique vector \( {\bf v} \in V \) by using the entries of the

*n*-tuple as the coefficients of a linear combination of \( {\bf u}_1 , {\bf u}_2 , \ldots , {\bf u}_n . \) This fact suggests that

*V*is like the

*n*-dimensional vector space \( \mathbb{R}^n , \) where

*n*is the number of vectors in the basis for

*V*.

Theorem: Let *S* be a linearly independent subset of a vector space *V*,
and let **v** be an element of *V* that is not in *S*. Then
\( S \cup \{ {\bf v} \} \) is linearly dependent if and only if **v**
belongs to the span of the set *S*.

Theorem: If a vector space *V* is generated by a finite set *S*, then
some subset of *S* is a basis for *V* ■

A vector space is called **finite-dimensional** if it has a basis consisting of a finite

number of elements. The unique number of elements in each basis for *V* is called

the **dimension** of *V* and is denoted by dim(*V*). A vector space that is not finite-

dimensional is called
**infinite-dimensional**.

The next example demonstrates how *Mathematica* can determine the basis or set of linearly independent
vectors from the given set. Note that basis is not unique and even changing the order of vectors, a software can provide
you another set of linearly independent vectors.

```
MatrixRank[m =
{{1, 2, 0, -3, 1, 0},
{1, 2, 2, -3, 1, 2},
{1, 2, 1, -3, 1, 1},
{3, 6, 1, -9, 4, 3}}]
```

Then each of the following scripts determine a subset of linearly independent vectors:

```
m[[ Flatten[ Position[#, Except[0, _?NumericQ], 1, 1]& /@
```

Last @ QRDecomposition @ Transpose @ m ] ]]

or, using subroutine

```
MinimalSublist[x_List] :=
```

Module[{tm, ntm, ytm, mm = x}, {tm = RowReduce[mm] // Transpose,

ntm = MapIndexed[{#1, #2, Total[#1]} &, tm, {1}],

ytm = Cases[ntm, {___, ___, d_ /; d == 1}]};

Cases[ytm, {b_, {a_}, c_} :> mm[[All, a]]] // Transpose]

we apply it to our set of vectors.
```
m1 = {{1, 2, 0, -3, 1, 0}, {1, 2, 1, -3, 1, 2}, {1, 2, 0, -3, 2,
1}, {3, 6, 1, -9, 4, 3}};
```

MinimalSublist[m1]

`{{1, 1, 1, 3}, {0, 1, 0, 1}, {1, 1, 2, 4}}`

One can use also the standard *Mathematica*command:

**IndependenceTest**. ■