6. Let P and Q denote 2 arbitrary nxm matrices with entries from the field F and let α be an arbitrary scalar from the field F. Then P+Q is a nxm matrix with entries from the field F so that P+Q ∈ Mn,m(F). Hence Mn,m(F) is closed under vector addition. Also, αP is a nxm matrix with entries from the field F so that αP ∈ Mn,m(F).It implies that Mn,m(F) is closed under scalar multiplication. Further, the zero nxm matrix apparently belongs to Mn,m(F) . Hence Mn,m(F) is a vector space is an F-vector space.
Let Mij denote the nxm matrix with 1 as the ijth entry, all other entries being zero. Then {Mij 1≤ i≤n, 1≤j≤m} is a basis for Mn,m(F). The dimension of Mn,m(F) is, therefore, mn.
Let M','" (F) denote the set of n × m nnatrices with entries from the field...
(e) Let GLmn(R) be the set of all m x n matrices with entries in R and hom(V, W) be the set of all lnear transformations from the finite dimensional vector space V (dim V n and basis B) to the finite dimensional vector space W (dimW m and basis C) (i) Show with the usual addition and scalar multiplication of matrices, GLmRis a finite dimensional vector space, and dim GCmn(R) m Provide a basis B for (ii) Let VW...
i want answers of all Questions Example. As another special case of examples we may regard the set R of all of n umber vector 1.4.6. Example. Yet another al l the vector space M of mx matrices of members of where m - NI. We will use M. horthand for M F ) and M. for M.(R) 1.4.9. Exercise. Let be the total real numbers. Define an operation of addition by y the maximum of u and y for...
Let n EN Consider the set of n x n symmetric matrices over R with the usual addition and multiplication by a scalar (1.1) Show that this set with the given operations is a vector subspace of Man (6) (12) What is the dimension of this vector subspace? (1.3) Find a basis for the vector space of 2 x 2 symmetric matrices (6) (16)
I. Consider the set of all 2 × 2 diagonal matrices: D2 under ordinary matrix addition and scalar multiplication. a. Prove that D2 is a vector space under these two operations b. Consider the set of all n × n diagonal matrices: di 00 0 d20 0 0d under ordinary matrix addition and scalar multiplication. Generalize your proof and nota in (a) to show that D is a vector space under these two operations for anyn I. Consider the set...
QUESTION 5 Let V denote an arbitrary finite-dimensional vector space with dimension n E N Let B = {bi, bn} and B' = { bị, b, } denote two bases for V and let PB-B, be the transition matrix from B to B' Prove that where 1 V → V is the identity transformation, i e 1(v) v for all v E V Note that I s a linear transformation 14] QUESTION 5 Let V denote an arbitrary finite-dimensional vector...
1. [4-+6+6-16 points Let /°0 denote the vector space of bounded sequences of real numbers, with addition and scalar multiplication defined componentwise. Define a norm Il on by Il xl = suplx! < oo where x = (x1,x2, 23, . .. ) iEN (a) Prove that is complete with respect to the norm | . (b) Consider the following subspaces of 1o i) c-the space of convergent sequences; (i) co-the space of sequences converging to 0; (iii) coo- the space...
6. (i) Prove that if V is a vector space over a field F and E is a subfield of F then V is a vector space over E with the scalar multiplication on V restricted to scalars from E. (ii) Denote by N, the set of all positive integers, i.e., N= {1, 2, 3, ...}. Prove that span of vectors N in the vector space S over the field R from problem 4, which we denote by spanr N,...
. Let V be a vector space and S a set. Let V$ = {f S V} on VS by be the set of all functions from S to V. Define addition and scalar multiplication (fg)(s) f(s) + g(s) and (af)(s) = af(s) for all a F, f,gE V, and s E S. Show that VS is a vector space
2. Let F be a field, n > 1 an integer and consider the F-vector space Mat,,n(F) of n × n matrices over F. Given a matrix A = (aij) E Matn,n(F) and i < n let 1 row,(Α-Σ@y and col,(A)-Žaji CO j-1 j-1 be the sum of entries in row i and column i, respectively. Define C, A EMat,,(F): row,(A)col,(A) for all 1 < i,j < n] C, { A E Matn.n(F) : row,(A) = 0 = col,(A) for...