WorksheetsVector Space-Subspace-Linearly Independent-Bases-Dimension
Total questions: 99
Worksheet time: 8hrs 15mins
The subset { (1,-2), (2,9), (-4,3 } of R2 is
Linearly dependent
Linearly independent
Basis
None of the above
The set { (1,-2,6), (5,-10,30) } is
Linearly dependent
Linearly independent
Basis
None of the above
Dimension of set of 3 × 3 matrices with real entries is
6
9
3
0
If W is subspace of vector space v then
dim W = dim V
dim w < dim V
dim w > dim V
dim w ≤ dim V
The dimension of subspace W = { (x,y,z) / x+y+z = 0 } of R3 is
1
3
2
0
Is the set { (4,5,3), (1,0,2), (0,0,0) } is basis of R3
Yes
No
Can not be determined
None of the above
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
Option (a)
Option (b)
Option (c)
Option (d)
1. Let V be a vector space over a field F and α∈F and u∈V . Which of the following statement is not correct?
αu=θ⟹either α=0 or u=θ
∣−1u∣=∣−1∣u,∀u∈V
αθ=θ
0u=θ
1. Let V be the vector space of all 2X2 matrices over R, Then, the set W, consisting of all matrices A for which A2=A ,
is a subspace of V
is not a subspace of V as it is not closed with respect to vector addition
is not a subspace of V as it is not closed with respect to scalar multiplication
Both (b) and (c)
The zero vector in the vector space R4 is
(0,0)
(0,0,0)
(0,0,0,0)
none of these
In vector space V(F), the set V contains
Scalars
Vectors
Scalars and vectors
None of these
In vector space V(F), the set F contains
Scalars
Vectors
Scalars and vectors
None of these
In a vector space V(F), binary operation is
a) vector addition
b) scalar multiplication
c) both a and b
d) None of these
The linear span L(S) of any subset S of a vector space V(F) is a (a) of V(F).
Is null set a vector space?
Yes
No
Set of polynomials of degree 3 is a vector space. The statement is
True
False
In a finite dimensional vector space V of dimension n, subset A of V has n number of linearly independent elements. Then
A is generating set of V
A is not a generating set of V
Removing some elements from A can give generating set.
Adding some elements to A can give basis
Let V be vector space of polynomials of degree upto three. Let S be set of polynomials of degree 2. Is S a subspace of V?
Yes
No
In a vector space of dimension 5, a set containing 6 elements is
Linearly independent
Linearly dependent
Generating set
Can not say anything about the set
In a vector space of dimension 5, a subset A containing 6 elements is generating set. Then
A is Linearly independent also.
There is one element in A which can be written as a linear combination of others.
A contains zero element
Can not say anything about the set A
Let V be a vector space over the field F . Let W be a subset of V . Then W is a subspace of V over the field F if
W is a vector space over the field F
∀ x , y ∈W, x+y∈W and xy∈W
∀ x , y ∈W and c∈F, x+y∈W and cy∈W
∀ x , y ∈W and c∈F , cx+y∈W
The dimension of the vector space ℝn over the field ℝ is.......
ℝ
0
∞
n
A vector space is said to be finite dimensional vector space if the dimention of the vector space is infinite.
True
False
If W1 and W2 are two subspace of vector space V(F). Then which of the following is false
W1 ∪ W2 is a subspace of V(F)
W1 ∩ W2 is a subspace of V(F)
W1 + W2 is a subspace of V(F)
W1 ∪ W2 is a not a subspace of V(F)
If W is a subspace of a vector space V(F) and α, β ∈ W then for any scalar c ..........
cα + β ∈ V
cα + β ∈ W
cα + β ∉ V
cα + β ∉ W
If W1 and W2 are two disjoint subspace of vector space V(F). Then.....
W1 ⋂ W2 = ∅
W1 ⋃ W2 = {0}
W1 ⋂ W2 = {0}
W1 ⋃ W2 = ∅
Dim(M2X3)=.
2
3
6
5
Is the vectors (1, 2, 3), (4, 5, 6) and (7, 8, 9) span the vector
space ℝ3.
yes
no
Let 𝑉 = ℝ3. Is 𝑊 is a subspace of 𝑉 where W= {(𝑎, 𝑏, 𝑐): 𝑎 ≥ 0}.
yes
no
Let V be a vector space then
u+v=v+u
1v=v
α(βv)=(αβ)v
All of these
Let V be a vector space, and let W be a subset of V. What does it mean when we say that is linearly independent?
S is closed under both addition and scalar multiplication.
The only way to write 0 as a linear combination of elements of S.
All the elements of are distinct from each other.
S has nullity zero.
Let V be a vector space, and let S be a subset of V. What does it mean when we say that S spans V?
Every vector in V can be expressed as a linear combination of vectors in S.
The elements of S are all distinct from each other.
Every vector in V has exactly one representation as a linear combination of vectors in S.
S is a basis for V.
If V is a vector spacr over F then 0.v=0 for v∈V
True
False
Let V be a five-dimensional vector space, and let S be a subset of V which spans V . Then S
Must have exactly five elements.
Must consist of at least five elements.
Must have infinitely many elements.
Must have at most five elements.
L(S) is a subspace of V.
True
False
The dimension of V over F is ---------
Number of elements in V
Number of elements in F
Number of elements in any basis of V over F.
If V is finite dimensional then any two bases of V
are in W
are equal
have the same number of elements
Determine if the vectors (1, 2, 3), (4, 5, 6), and (7, 8, 9) are linearly independent.
No, the vectors are collinear.
Yes, the vectors are linearly independent.
No, the vectors are orthogonal.
No, the vectors are not linearly independent.
What is the dimension of the vector space spanned by the vectors (1, 2, 3) and (4, 5, 6)?
5
2
3
0
The set of all polynomial with degree less than or equal to n is a Vector Space
True
False
The value of k so that vectors (1,−1,3),(1,2,−2),(k,0,1) are linearly independent.
5/4
1/4
3/4
7/4
Let us consider (1,1,2,4),(2,−1,−5,2),(1,−1,−4,0) and (2,1,1,6) vectors in R4 , then
they are linearly depenent
they are linearly independent
cannot be determined
none of the above
If W1 and W2 are the finite dimensional subspaces of vector space V , then
dim(W1+W2)=dimW1+dim W2
dim(W1+W2)=dimW1+dim W2−dim(W1∩W2)
dim(W1+W2)+dim(W1∩W2)=dimW1+dim W2
dim(W1+W2)=dim(W1∩W2)
Let V be the real vector space of all functions f from R into R . Which of the following sets of functions are subspaces of V ?
all f such that f(x2)= f(x)2
all f such that f(0)=f(1)
all f such that f(−1)=0
all f such that f(3)=1+f(−5)
Let V be a vector space over the field F . Let W1 , W2 , W3 are the subspaces of V . Then
W1∪(W2∩W3) is a subspace of V
W1∩(W2∩W3) is a subspace of V
W1 ∪W2 is a subspace of V
W2 ∩W3 is a subspace of V
Let V be set of all pairs (x, y) of real numbers and let F be the field of real numbers, Define (x, y)+(x1, y1)=(x+x1, y+y1) and c(x, y)=(cx, y) , then
undefinedis a vector space over the field of real numbers.
undefinedis not a vector space over the field of real numbers
cannot be determined
V ={(x, y) : x , y are real numbers}
Let u = (2, 0, −1), v = (3, 1, 0), and w = (1, −1, c) where c ∈ R.
The set {u, v, w} is a basis for R3 provided that c is not equal to
0
2
-2
1
What is the dimension of the space of all matrices A in R2×2 such that a+d=0
dim (A) = 3
dim (A) = 4
dim (A) = 2
dim (A) = 0
Which of the following denotes commutative property in vector spaces?
a+b=a-b
a+b=b+a
ab=a
a+b=a+2b
Every set of (n+1) or more vectors in an 'n' dimensional vector space is Linearly independent.
TRUE
FALSE
C(R) is a Vector space
TRUE
FALSE
R(C) is a Vector space
TRUE
FALSE
Intersection of two subspaces is a subspace of vector space
TRUE
FALSE
Union of two subspaces is a subspace of a vector space
TRUE
FALSE
The Sum of two subspaces is a subspace of a vector space
TRUE
FALSE
The set W of ordered triads (x,y,0), where x,y are real numbers, is a subspace of V3 (R) .
TRUE
FALSE
W={(a,b,c) : a2+b2+c2<1} is a subspace of V3(R).
TRUE
FALSE
The set {(1,2,0),(0,3,1),(-1,0,1)} of V3(Q) is Linearly independent
TRUE
FALSE
A nonempty subset of a Linearly independent set of vectors is Linearly independent.
TRUE
FALSE
A set of vectors, which contains zero vector is Linearly independent.
TRUE
FALSE
If V(F) is a finite-dimensional vector space then there exists a basis set of V.
TRUE
FALSE
If W is a subspace of an 'n' dimensional vector space then dim W >n
TRUE
FALSE
If S is a Linearly independent set of V(F) then S can be extended to form a basis for V.
TRUE
FALSE
Let S be a set of an 'n' dimensional vector space such that L(S)=V then S is a basis of V.
TRUE
FALSE
The set of all linear combinations of given vectors is called the (a) of the set.
The basis for a vector space is ............................................
linearly independent set
spanning set
both linearly independent and spanning set
neither spanning set nor linearly independent
The number of elements in any basis is called (a) of the vector space
The trivial subspaces of V are..........................................
{0}
V
both {0} and V
none of these
which of the following is not a subspace of
R3
W={(x,y,z) ∣ x+2y=0}
W={(x,y,z) ∣ x+y=0}
W={(x,y,z) ∣ x+y+z=0}
W={(x,y,z) ∣ x+y=1}
Which of the following is a vector space?
The set of all pairs of real numbers of the form (x,0) with standard operations on R2
The set of all pairs of real numbers of the form (x,y) , where x≥0, with the standard operations on R2
The set of all pairs of real numbers with the standard vector addition but with scalar multiplication defined by
k(x,y)=(k2x, k2y)
None of the above.
Which of these is a subspace of Mnn ?
The set of non-invertible n ×n matrices
The set of all n×n matrices A such that det(A)=0
The set of all n×n matrices A such that tr(A)=0
None of these
For a set of vectors to be a vector space, it should satisfy 10 axioms. Which of the following is NOT one of them?
closure under vector addition
closure under scalar multiplication
existence of the neutral element
closure under vector multiplication
Is the set of vectors {(a,b) ∈ R2 : b=3a+1} a vector space?
Yes
No
Cannot be determined.
The set of all 2x2 matrices with determinant equal to zero under the operations of matrix addition and scalar multiplication is not a vector space. Why?
2x2 matrices are not vectors.
With matrices, AB need not equal BA.
None of the above.
R2 Which of the three sets in the plane is a subspace of
the vector space
The blue line only.
The red line only
The green line only.
More than one.
None of them.
What is a vector space?
Describes a collection of objects called vectors, which can be added together and scaled by numbers.
Describes a collection of objects called vectors, which can be divided together.
Describes as a single number which can be added together.
None of these.
What is the span of a set of vectors in a vector space? A) The set of all possible linear combinations of the vectors B) The set of all possible scalar multiples of the vectors C) The set of all possible dot products of the vectors D) The set of all possible cross products of the vectors
A) The set of all possible linear combinations of the vectors
B) The set of all possible scalar multiples of the vectors
C) The set of all possible dot products of the vectors
D) The set of all possible cross products of the vectors
Which of the following is NOT a vector space property? A) Distributivity of scalar multiplication over vector addition B) Existence of additive inverse C) Existence of multiplicative inverse D) Associativity of scalar multiplication
D) Associativity of scalar multiplication
B) Existence of additive inverse
C) Existence of multiplicative inverse
A) Distributivity of scalar multiplication over vector addition
If two vectors in a vector space are linearly dependent, what can be said about their scalar multiples? A) They are linearly independent B) They are equal C) They are parallel D) They are orthogonal
C) They are parallel
A) They are linearly independent
B) They are equal
D) They are orthogonal
What is the span of a set of vectors in a vector space? A) The set of all possible linear combinations of the vectors B) The set of all possible scalar multiples of the vectors C) The set of all possible dot products of the vectors D) The set of all possible cross products of the vectors
A) The set of all possible linear combinations of the vectors
B) The set of all possible scalar multiples of the vectors
C) The set of all possible dot products of the vectors
D) The set of all possible cross products of the vectors
What does it mean for vectors to be linearly independent?
They all have the same magnitude
They can be expressed as a linear combination of each other
They all point in the same direction
They cannot be expressed as a linear combination of each other
What does the span of a set of vectors represent?
The maximum length of the vectors
The orthogonal complement of the vectors
The set of all linear combinations of those vectors
The average of the vectors
Which of the following is an example of a vector space?
The set of all integers
The set of all 2x3 matrices
The set of all positive real numbers
The set of all complex numbers
A set of linear equations is represented by the matrix equation Ax=b. The necessary condition for the existence of a solution for this system is
A must be invertible
b must be linearly dependent on columns of A
b must be linearly independent of columns of A
None of these
Which of the following would be a linear combination of {(a, 0), (b, 0)} ? (a and b are non-zero)
(3,0)
(1, 3)
(0,5)
(16, 0)
What is the dimension of real polynomial of degree n over the set of reals?
n
n-1
n+1
not defined
