Math 560 Assignment 1: Proving Theorems in Linear Algebra, Assignments of Linear Algebra

The assignments for math 560, focusing on proving various theorems in linear algebra. Students are required to prove theorem 1.2.4, 1.2.8, 1.2.9, 1.2.10, and 1.3.1, as well as theorem 1.3.3 and a statement about the quotient of a linear space by a subspace. The document also includes references to definitions 1.2.9 and 1.3.1.

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Pre 2010

Uploaded on 03/10/2009

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Math 560, Assignment 1
Due Wednesday, September 7
1. Prove
Theorem 1.2.4
All bases for a finite dimensional linear space have the same number of elements.
2. Prove
Theorem 1.2.9
(1) Every finite dimensional vector space over Kis isomorphic to Kn,n= dim X.
(2) Any two finite dimensional vector spaces over the same field and with the same dimension are isomorphic.
3. Prove
Theorem 1.2.8
Suppose Xis a finite dimensional linear space and Yand Zare subspaces of Xsuch that X=Y+Z. Let
W=YZ. Then,
dim X= dim Y+ dim Zdim W. (1.2.1)
4. Using Definition 1.2.9, prove
Theorem 1.2.10
Let X1and X2be linear spaces over K.X1X2is a linear space and
dim X1X2= dim X1+ dim X2.
5. In reference to Definition 1.3.1, prove
Theorem 1.3.1
is an equivalence relation, i.e.,
x1x2x2x1(i)
xx(ii)
x1x2, x2x3x1x3(iii)
6. Prove
Theorem 1.3.3
The definitions of addition and multiplication in Definition 1.3.2 are independent of the particular choice of
representatives from the congruence classes.
7. In reference to Definition 1.2.9, prove that if Xis a linear space and Yis a subspace, then YX/Y is isomorphic
to X.
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Math 560, Assignment 1 Due Wednesday, September 7

  1. Prove Theorem 1.2. All bases for a finite dimensional linear space have the same number of elements.
  2. Prove Theorem 1.2. (1) Every finite dimensional vector space over K is isomorphic to Kn, n = dim X. (2) Any two finite dimensional vector spaces over the same field and with the same dimension are isomorphic.
  3. Prove Theorem 1.2. Suppose X is a finite dimensional linear space and Y and Z are subspaces of X such that X = Y + Z. Let W = Y ∩ Z. Then, dim X = dim Y + dim Z − dim W. (1.2.1)
  4. Using Definition 1.2.9, prove Theorem 1.2. Let X 1 and X 2 be linear spaces over K. X 1 ⊕ X 2 is a linear space and dim X 1 ⊕ X 2 = dim X 1 + dim X 2.
  5. In reference to Definition 1.3.1, prove Theorem 1.3. ≡ is an equivalence relation, i.e.,

x 1 ≡ x 2 ⇒ x 2 ≡ x 1 (i) x ≡ x (ii) x 1 ≡ x 2 , x 2 ≡ x 3 ⇒ x 1 ≡ x 3 (iii)

  1. Prove Theorem 1.3. The definitions of addition and multiplication in Definition 1.3.2 are independent of the particular choice of representatives from the congruence classes.
  2. In reference to Definition 1.2.9, prove that if X is a linear space and Y is a subspace, then Y ⊕X/Y is isomorphic to X.