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Unformatted text preview: MATH 223  HOMEWORK #1 Due Friday, September 14 The problems in the book deﬁne vector spaces over a ﬁeld F . You may assume that we always have F = R. When solving the problems you may refer to any result we have proved in class or that is proved in the book. The numbers, such as 13 in Section 1.2, refer to the textbook. This ﬁrst homework has the full text of the problems copied from the book since some students don’t have the textbook yet. Problem 1. Let V be a vector space. Use the axioms to prove: (i) For any vector v in V 0 · v = 0. (Hint: add v +w = 0 to the left hand side and simplify, where w is the “negative” of v from axiom (VS 4).) (ii) For any vector v in V , the vector w = (−1) · v satisﬁes axiom (VS 4): v + w = 0. In other words, (−1) · v is the “negative” of v . Problem 2. 13 in Section 1.2. Let V denote the set of ordered pairs of real numbers. If (a1 , a2 ) and (b1 , b2 ) are elements of V and c ∈ R, deﬁne (a1 , a2 ) + (b1 , b2 ) = (a1 + b1 , a2 b2 ), c(a1 , a2 ) = (ca1 , a2 ). Is V a vector space with these operations? Justify your answer. Problem 3. 21 in Section 1.2. Let V and W be vector spaces. Let Z = {(v, w)v ∈ V, w ∈ W }. Prove that Z is a vector space with the operations (v1 , w1 ) + (v2 , w2 ) = (v1 + v2 , w1 + w2 ), c(v1 , w1 ) = (cv1 , cw1 ). Please check axioms 14 only. This space Z is known as the product V × W . Problem 4. Let V be the set of positive real numbers, V = {a ∈ Ra > 0}. We write a vector in V with an arrow to distinguish it from a scalar; for example, a, 3, π are all elements of V . Deﬁne addition and scalar product as follows: → − −→ − a + b = a · b, c · a = ac . Is V with these operations a vector space? Justify your answer. (You have to be careful here with the zero vector. In checking (VS 3) you have to determine which vector is the zero vector, and then use the same zero vector in (VS 4).) 1 ...
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This note was uploaded on 02/01/2010 for the course MATH math115a taught by Professor Shalom during the Spring '10 term at UCLA.
 Spring '10
 SHALOM
 Linear Algebra, Algebra, Vector Space

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