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Lecture

# Fields, Vector Spaces and Vector Subspaces

This preview shows page 1. to view the full 4 pages of the document. Tuesday11/01, lecture notes byY. Burda
1Fields
Todo linear algebra weonly need to do arithmetic operations to numbers. So
and divide (with the usual properties of the operations being assumed).
Example: the inverse of amatrix 1 2
3 4 can’t be2 1
3
2
1
2because ﬁnding
inverse matrix involves only arithmetic operations, the entries of the matrix
westarted with arerational and thus the answer should beamatrix with
rational entries only.
The relevantdeﬁnition here is that of aﬁeld:
Aset Kwith operation +and ·is called aﬁeld if:
Sum of twonumbers is anumber
x+yKfor all x, yK
x+y=y+xfor all x, yK
(x+y)+z=x+(y+z) for all x, y,zK
Zero is anumber
there exists element0Ksuchthat x+0=xfor all xK
One can subtract numbers
for anyxKthere exists xKsuchthat x+(x)=0
Product of numbers is anumber
xy Kfor all x, yK
Order doesn’t matter for multiplication
xy =yxfor all x, yK
Grouping doesn’t matter for products
(xy)z=x(yz)for all x, y,zK
One is in the ﬁeld
There exists 1Ksuchthat 1x=xfor all xK
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