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Unformatted text preview: Tuesday 11/01, lecture notes by Y. Burda 1 Fields To do linear algebra we only need to do arithmetic operations to numbers. So instead of numbers we can work with anything we can add, multiply, subtract and divide (with the usual properties of the operations being assumed). Example: the inverse of a matrix 1 2 3 4 can’t be √ 2 1 3 2 1 2 because finding inverse matrix involves only arithmetic operations, the entries of the matrix we started with are rational and thus the answer should be a matrix with rational entries only. The relevant definition here is that of a field: A set K with operation + and · is called a field if: Sum of two numbers is a number x + y ∈ K for all x,y ∈ K Order doesn’t matter for addition x + y = y + x for all x,y ∈ K Grouping doesn’t matter for addition (x+y)+z=x+(y+z) for all x,y,z ∈ K Zero is a number there exists element 0 ∈ K such that x + 0 = x for all x ∈ K One can subtract numbers for any x ∈ K there exists x ∈ K such that x + ( x ) = 0 Product of numbers is a number xy ∈ K for all x,y ∈ K Order doesn’t matter for multiplication xy = yx for all x,y ∈ K Grouping doesn’t matter for products ( xy ) z = x ( yz ) for all x,y,z ∈...
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 Spring '11
 Y.Burda
 Linear Algebra, Algebra, Addition, Vector Space

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