Answer:
Among the options, only (a) the plane of vectors
where
is a subspace.
Step-by-step explanation:
A subset
of a vector space is a linear subspace if and only if both of the following are satisfied:
- The subset
is closed under vector addition. In other words, if vectors
and
are members of
, their sum
should also be a member of
:
. - The subset
is closed under scalar multiplication. In other words, for any scalar
(a real number) and for any member
of
, the scalar multiple
should also be a member of
:
.
To prove that a subset of a vector space is a linear subspace, simply prove that this subset satisfy the two properties above. A counterexample for one of the two properties is sufficient to show that the subset isn't a linear subspace.
(a)
Let
denote the plane of vectors
where
. A member of
is in
if and only if its first two components are equal.
To prove that this
is closed under addition, consider members of this subspace
. The goal is to show that
by showing that its first two components are equal.
Let
and let
for scalars
.

By the construction of
,
and
.. Add the two equalities to obtain:
. In other words, the first two components of
are indeed equal, and
is a member of
.
To prove that
is closed under scalar multiplication, consider one member of this subspace,
where
for scalars
. Let
be a scalar. The goal is to show that
by showing that the first two components of
are equal.
.
Since
,
, such that
. Hence,
is indeed a member of
.
Since
satisfies both properties of linear subspace,
would indeed be a linear subspace of
.
(b)
The following counterexample demonstrates that the plane of vectors
with
isn't closed under scalar multiplication.
Consider scalar
and vector
. Since the first component of
is
, this vector would be a member of the given subset. However, the scalar multiple
isn't part of this subset since the first component isn't
, meaning that this subset of vectors isn't closed under scalar multiplication.
Hence, this subset of vectors isn't a linear subspace.
(c)
The following counterexample demonstrates that the set of vectors
where
isn't closed under vector addition.
Consider vectors
and
. While both vectors satisfy the requirement that the scalar product of the components is
, their sum
doesn't. Hence, this subset of vectors isn't closed under vector addition and isn't a linear subspace.