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1. Vector Space

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Title: 1. Vector Space


1
1. Vector Space
  • 3. March 2004

2
Real Numbers R.
  • Let us review the structure of the set of real
    numbers (real line) R.
  • In particular, consider addition and
    multiplication .
  • (R,) forms an abelian group.
  • (R,) does not form a group. Why?
  • (R,,) forms a (commutative) field.
  • Exercise Write down the axioms for a group,
    abelian group, a ring and a field.
  • Exercise What algebraic structure is associated
    with the integers (Z,,)?
  • Exercise Draw a line and represent the numbers
    R. Mark 0, 1, 2, -1, ½, p.

3
A Skew Field K
  • A skew field is a set K endowed with two
    constants 0 and 1, two unary operations
  • - K ! K,
  • K ! K,
  • and with two binary operations
  • K K ! K,
  • K K ! K,
  • satisfying the following axioms
  • (x y) z x (y z) associativity
  • x 0 0 x x neutral element
  • x (-x) 0 inverse
  • x y y x commutativity
  • (x y) z x (y z). associativity
  • (x 1) (1 x) x unit
  • (x x) (x x) 1, for x ¹ 0. inverse
  • (x y) z x z y z. left
    distributivity
  • x (y z) x y y z. right
    distributivity
  • A (commutative) field satisfies also
  • x y y x.

4
Examples of fields and skew fields
  • Reals R
  • Rational numbers Q
  • Complex numbers C
  • Quaterions H. (non-commutative!! Will consider
    briefly later!)
  • Residues mod prime p Fp.
  • Residues mod prime power q pk Fq. (more
    complicated, need irreducible poynomials!!Will
    consider briefly later!)

5
Complex numbers C.
  • a a bi 2 C.
  • a a bi.

6
Quaternions H.
  • Quaternions form a non-commutative field.
  • General form
  • q x y i z j w k., x,y,z,w 2 R.
  • i 2 j 2 k 2 -1.
  • q x y i z j w k.
  • q x y i z j w k.
  • q q (x x) (y y) i (z z) j (w
    w) k.
  • How to define q .q ?
  • i.j k, j.k i, k.i j, j.i -k, k.j -i,
    i.k -j.
  • q.q (x y i z j w k)(x y i z j
    w k)
  • Exercise There is only one way to complete the
    definition of multiplication and respect
    distributivity!
  • Exercise Represent quaternions by complex
    matrices (matrix addition and matrix
    multiplication)! Hint q a b -b a.

7
Residues mod n Zn.
  • Two views
  • Zn 0,1,..,n-1.
  • Define on Z
  • x y x y cn.
  • Zn Z/.
  • (Zn,) an abelian group, called cyclic group.
    Here is taken mod n!!!

8
Example (Z6, ).
0 1 2 3 4 5
0 0 1 2 3 4 5
1 1 2 3 4 5 0
2 2 3 4 5 0 1
3 3 4 5 0 1 2
4 4 5 0 1 2 3
5 5 0 1 2 3 4
9
Example (Z6, ).
0 1 2 3 4 5
0 0 0 0 0 0 0
1 0 1 2 3 4 5
2 0 2 4 0 2 4
3 0 3 0 3 0 3
4 0 4 2 0 4 2
5 0 5 4 3 2 4
10
Example (Z6\0, ).
It is not a group!!! For p prime, (Zp\0, )
forms a group (Zp, ,) Fp.
1 2 3 4 5
1 1 2 3 4 5
2 2 4 0 2 4
3 3 0 3 0 3
4 4 2 0 4 2
5 5 4 3 2 4
11
Vector space V over a field K
  • V V ! V (vector addition)
  • . K V ! V. (scalar multiple)
  • (V,) abelian group
  • (l m)x l x m x.
  • 1.x x
  • (l m).x l(m x).
  • l.(x y) l.x l.y.

12
Euclidean plane E2 and real plane R2.
  • R2 (x,y) x,y 2 R.
  • R2 is a vector space over R. The elements of R2
    are ordered pairs of reals.
  • (x,y) (x,y) (xx,yy)
  • l(x,y) (l x,l y).
  • We may visualize R2 as an Euclidean plane (with
    the origin O).

13
Subspaces
  • Onedimensional (vector) subspaces are lines
    through the origin. (y ax)
  • Onedimensional affine subspaces are lines. (y
    ax b)

y ax b
y ax
o
14
Three important results
  • Thm1 Through any pair of distinct points passes
    exactly one affine line.
  • Thm2 Through any point P there is exactly one
    affine line l that is parallel to a given affine
    line l.
  • Thm3 There are at least three points not on the
    same affine line.
  • Note parallel not intersecting or identical!

15
2. Affine Plane
  • Axioms
  • A1 Through any pair of distinct points passes
    exactly one line.
  • A2 Through any point P there is exactly one line
    l that is parallel to a given line l.
  • A3 There are at least three points not on the
    same line.
  • Note parallel not intersecting or identical!

16
Examples
  • Each affine plane is an incidence structure C
    (P,L,I) of points and lines.
  • Let K be a field, then K2 has a structure of an
    affine plane.
  • K Fp.
  • Determine the number of points and lines in the
    affine plane A2(p) Fp2.

17
Parallel Lines
  • Parallel lines l m define an equivalence
    relation on the set of lines.
  • l l
  • l m ) m l
  • l m, m n ) l n.
  • Conditions 1. and 2. are true for any incidence
    structure. (Prove it!)
  • Exercise Prove condition 3 for affine planes and
    find a counter-example for general incidence
    structure.

18
A bundle of parallel lines
  • An equivalence class of parallel lines is called
    a bundle of parallel lines.
  • Thm. Each bundle of parallel lines defines an
    equivalence relation on the set of points.

19
Ideal points and Ideal line
  • Each bundle of parallel lines defines a new
    point, called an ideal point (or a point at
    inifinity.) New point is incident with each line
    of the bundle.
  • In addition we add a new ideal line (or line at
    infinity)

20
Extended Plane
  • Let A be an arbitrary affine plane. The incidence
    structure obtained from A by adding ideal points
    and ideal lines is celled the extended plane and
    is denoted by P(A).
  • Theorem. Let C be an extended plane obtainde from
    any affine plane. The following holds
  • T1. For any two distinct points P and Q there
    exists a unique line l connecting them.
  • T2. For any two distinct line l and m there
    exists a unique point P in their intersesction.
  • T3. There exist at least four points P,Q,R,S such
    that no three of them are colinear.

21
Projective Plane
  • Axioms for the Projective Plane. Let C be an
    incidence structure of points and lines that
    satisfies the following axioms
  • P1. For any two distinct points P and Q there
    exists a unique line l connecting them.
  • P2. For any two distinct line l and m there
    exists a unique point P in their intersesction.
  • P3. There exist at least four points P,Q,R,S such
    that no three of them are colinear.

22
Linear Transformations
  • In a vector space the important mappings are
    linear transformations
  • L(l x m y) l L(x) m L(y). L-1 exists.
  • L can be represented by a nonsingular square
    matrix.

23
Semi Linear Transformations
  • A semi linear transformation is more general
  • L(lx m y) f(l) L(x) f(m) L(y). L-1 exists,
    f K ! K is an automorphism of K.

24
Exercise
  • Prove that in R, Q, Fp, (p- prime) there are no
    nontrivial automorphisms.
  • Prove that z a z (conjugate) is an automorphism
    of C.

25
Affine Transformations
  • In an affine plane the important mappings are
    affine transformations (affinities).
  • An affine transformation maps three collinear
    points to collinear points.
  • Each affine transformation is of the form
  • A(x) c, where A is a semilinear transformation.
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