1. Mark each statement True or False. Justify each answer. (If true, cite appropriate facts or theorems. If false, explain why or give a counterexample that shows why the statement is not true in every case. a. Every matrix is row equivalent to a unique matrix in echelon form. b. Any system of n linear equations in n variables has at most n solutions. odc. If a system of linear equations has two different solu- tions, it must have infinitely many solutions. indoe ntions has no free variables then 61 dosto
1. Mark each statement True or False. Justify each answer. (If true, cite appropriate facts or theorems. If false, explain why or give a counterexample that shows why the statement is not true in every case. a. Every matrix is row equivalent to a unique matrix in echelon form. b. Any system of n linear equations in n variables has at most n solutions. odc. If a system of linear equations has two different solu- tions, it must have infinitely many solutions. indoe ntions has no free variables then 61 dosto
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
1 please
![1. Mark each statement True or False. Justify each answer. (If
true, cite appropriate facts or theorems. If false, explain why
or give a counterexample that shows why the statement is not
true in every case.
a. Every matrix is row equivalent to a unique matrix in
echelon form.
b. Any system of n linear equations in n variables has at
most n solutions.
odc. If a system of linear equations has two different solu-
tions, it must have infinitely many solutions.pituloe
odd. If a system of linear equations has no free variables, then
noiloz
it has a unique solution.
be. If an augmented matrix [Ab] is transformed into
[C d] by elementary row operations, then the equa-
tions Ax = b and Cx = d have exactly the same solu-
tion sets.
f. If a system Ax = b has more than one solution, then so
does the system Ax = 0.
neto (2)sulav si
ma
g. If A is an m ×n matrix and the equation Ax = b is
consistent for some b, then the columns of A span Rm.
h. If an augmented matrix [ A b] can be transformed by
elementary row operations into reduced echelon form,
then the equation Ax = b is consistent.
i. If matrices A and B are row equivalent, they have the
same reduced echelon form.
.8
vil
j. The equation Ax = 0 has the trivial solution if and only
if there are no free variables.
Apres
U .01
k.
1.
If A is an m x n matrix and the equation Ax = b is con-
sistent for every b in R", then A has m pivot columns.
If an m x n matrix A has a pivot position in every row,
then the equation Ax = b has a unique solution for each
b in Rm.
Lor
m. If an nxn matrix A has n pivot positions, then the
reduced echelon form of A is the n x n identity matrix.
n. If 3 x 3 matrices A and B each have three pivot posi-
tions, then A can be transformed into B by elementary
row operations. ni vmonil
1601
If A is an m x n matrix, if the equation Ax = b has at
unleast two different solutions, and if the equation Ax = c
is consistent, then the equation Ax = c has many solu-
bitions.
0.
p. If A and B are row equivalent m x n matrices and if the
columns of A span R", then so do the columns of B.
Holloscibini
q. If none of the vectors in the set S = {V1, V2, V3} in R³ is
a multiple of one of the other vectors, then S is linearly
sandi 10 independent.
me
doso ni po
r.
2022
mstava dime
S.
t.
TRY
If {u, v, w} is linearly independent, then u, v, and w are
not in R2.
In some cases, it is possible for four vectors to span
R³.
If u and v are in Rm, then -u is in Span{u, v).stor
u. If u, v, and w are nonzero vectors in R2, then w is a linear
Scombination of u and v.
V.
aniv. If w is a linear combination of u and v in R", then u is a
linear combination of v and w.
moldy.
w. Suppose that V₁, V2, and v3 are in R5, v₂ is not a multiple
of V₁, and v3 is not a linear combination of v₁ and v2.
Then {V1, V2, V3} is linearly independent.
ni moldong all states bancoter strong
x. A linear transformation is a function.
m
If A is a 6 x 5 matrix, the linear transformation x →→ Ax
cannot map R5 onto R6.
ad gnierte
z. If A is an m x n matrix with m pivot columns, then the
linear transformation x Ax is a one-to-one mapping.
gniwollol am) Torborw grinim 10 m maidong sdt robizno
2. Let a and b represent real numbers. Describe the possible
solution sets of the (linear) equation ax = b. [Hint: The
number of solutions depends upon a and b.]
3. The solutions (x, y, z) of a single linear equation
ni max+by+ cz =
14
form a plane in R³ when a, b, and c are not all zero. Construct
mal sets of three linear equations whose graphs (a) intersect in
a single line, (b) intersect in a single point, and (c) have no](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7cee403c-9139-49ee-992f-6fff9a4ab51f%2F2c2a4ffe-7cfb-4177-932a-2924ddd4369d%2F474t55_processed.jpeg&w=3840&q=75)
Transcribed Image Text:1. Mark each statement True or False. Justify each answer. (If
true, cite appropriate facts or theorems. If false, explain why
or give a counterexample that shows why the statement is not
true in every case.
a. Every matrix is row equivalent to a unique matrix in
echelon form.
b. Any system of n linear equations in n variables has at
most n solutions.
odc. If a system of linear equations has two different solu-
tions, it must have infinitely many solutions.pituloe
odd. If a system of linear equations has no free variables, then
noiloz
it has a unique solution.
be. If an augmented matrix [Ab] is transformed into
[C d] by elementary row operations, then the equa-
tions Ax = b and Cx = d have exactly the same solu-
tion sets.
f. If a system Ax = b has more than one solution, then so
does the system Ax = 0.
neto (2)sulav si
ma
g. If A is an m ×n matrix and the equation Ax = b is
consistent for some b, then the columns of A span Rm.
h. If an augmented matrix [ A b] can be transformed by
elementary row operations into reduced echelon form,
then the equation Ax = b is consistent.
i. If matrices A and B are row equivalent, they have the
same reduced echelon form.
.8
vil
j. The equation Ax = 0 has the trivial solution if and only
if there are no free variables.
Apres
U .01
k.
1.
If A is an m x n matrix and the equation Ax = b is con-
sistent for every b in R", then A has m pivot columns.
If an m x n matrix A has a pivot position in every row,
then the equation Ax = b has a unique solution for each
b in Rm.
Lor
m. If an nxn matrix A has n pivot positions, then the
reduced echelon form of A is the n x n identity matrix.
n. If 3 x 3 matrices A and B each have three pivot posi-
tions, then A can be transformed into B by elementary
row operations. ni vmonil
1601
If A is an m x n matrix, if the equation Ax = b has at
unleast two different solutions, and if the equation Ax = c
is consistent, then the equation Ax = c has many solu-
bitions.
0.
p. If A and B are row equivalent m x n matrices and if the
columns of A span R", then so do the columns of B.
Holloscibini
q. If none of the vectors in the set S = {V1, V2, V3} in R³ is
a multiple of one of the other vectors, then S is linearly
sandi 10 independent.
me
doso ni po
r.
2022
mstava dime
S.
t.
TRY
If {u, v, w} is linearly independent, then u, v, and w are
not in R2.
In some cases, it is possible for four vectors to span
R³.
If u and v are in Rm, then -u is in Span{u, v).stor
u. If u, v, and w are nonzero vectors in R2, then w is a linear
Scombination of u and v.
V.
aniv. If w is a linear combination of u and v in R", then u is a
linear combination of v and w.
moldy.
w. Suppose that V₁, V2, and v3 are in R5, v₂ is not a multiple
of V₁, and v3 is not a linear combination of v₁ and v2.
Then {V1, V2, V3} is linearly independent.
ni moldong all states bancoter strong
x. A linear transformation is a function.
m
If A is a 6 x 5 matrix, the linear transformation x →→ Ax
cannot map R5 onto R6.
ad gnierte
z. If A is an m x n matrix with m pivot columns, then the
linear transformation x Ax is a one-to-one mapping.
gniwollol am) Torborw grinim 10 m maidong sdt robizno
2. Let a and b represent real numbers. Describe the possible
solution sets of the (linear) equation ax = b. [Hint: The
number of solutions depends upon a and b.]
3. The solutions (x, y, z) of a single linear equation
ni max+by+ cz =
14
form a plane in R³ when a, b, and c are not all zero. Construct
mal sets of three linear equations whose graphs (a) intersect in
a single line, (b) intersect in a single point, and (c) have no
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