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Systems of Linear Equations
1. True or False.
(a) The null space of a 4 × 6 real matrix is a subspace of R6.
(b) The column space of a 4 × 6 real matrix is a subspace of R6.
(c) The rank of a 6 × 4 real matrix is at most 4.
(d) The nullity of a 4 × 6 real matrix is at least 4.
(e) A vector in Rm is in the column space of an m × n real matrix A if the
linear
system is solvable.
(f) Any vector in the range of an m × n real matrix A can be written as a linear
combination of the column vectors of A.
(g) Suppose that an m × n real matrix A is row reduced to another matrix B by row
reductions. Then the null space of A equals the null space of B.
(h) Suppose that an m × n real matrix A is row reduced to another matrix B by row
reductions. Then the range of A equals the range of B.
(i) Suppose that an m × n real matrix A is row reduced to another matrix B by row
reductions. Then rank(A) = rank(B) and nullity(A) = nullity(B).
(j) If the column vectors of a 6 × 4 real matrix A are linearly independent, then
the null
space of A is { 0 }.
(k) If the column vectors of a 6 × 4 real matrix A are linearly independent, then
the
column space of A is R6.
2. Let .
(a) Find the dimension and a basis of Span
.
(b) Find the dimension and a basis of Span . Is
in Span ? If yes,
write it as
a scalar multiple of with a specific
coefficient.
(c) Find the dimension and a basis of Span. Is
in Span ?
If yes, write
it as a linear combination of with specific
coefficients.
(d) Find the dimension and a basis of Span. Is
in Span? If
yes, write it as a linear combination of with specific
coefficients.
(e) Find the dimension and a basis of Span Is
in
Span ?
If yes, write it as a linear combination of with specific
coefficients.
Hint: The row reduction of one single matrix provides the answers to all these
questions.
3. A n × n square matrix is called a magic square if its n
row sums, n column sums, and 2
diagonal sums are all equal. For instance, is
a 3 × 3 magic square, since
8+1+6 = 3+5+7 = 4+9+2 = 8+3+4 = 1+5+9 = 6+7+2 = 8+5+2 = 6+5+4:
is another one.
Let V be the vector space of all 3 × 3 real matrices, and let M be the set of all
3 × 3
magic squares with real entries.
(a) Show that M is a subspace of V .
(b) Find the dimension and a basis of M.
Answers:
1. (a) Y (b) N (c) Y (d) N (e) Y (f) Y (g) Y (h) N (i) Y (j) Y (k) N
2. (a) dim = 3. Basis: .
(b) dim = 1. Basis: . Yes,
.
(c) dim = 1. Basis: . No.
(d) dim = 2. Basis: . No.
(e) dim = 3. Basis: . Yes,
.
3. (a) Verify by yourself. I'll skip here.
(b) dim(M) = 3. The following matrices form a basis of M:
Remark 1: Of course you may have different choices. That's
just fine, as long as your
basis consists of 3 different magic squares and they span M.
Remark 2: Solving this problem allows us to generate all 3 × 3 magic squares. For
the
example matrices given in the problem we have the following: