Guided Proof Let S be a spanning set for a finite dimensional vector space V . Prove that there exists a subset S ′ of S that forms a basis for V . Getting Started: S is a spanning set, but it may not be a basis because it may be linearly dependent. You need to remove extra vectors so that a subset S ′ is a spanning set and is also linearly independent. (i) If S is linearly independent set, then you are done. If not, remove some vector v from S that is a linear combination of the other vectors in S . Call this set S 1 . (ii) If S 1 is a linearly independent set, then you are done. If not, then continue to remove dependent vectors until you produce a linearly independent subset S ′ . (iii) Conclude that this subset is the minimal spanning set S ′ .
Guided Proof Let S be a spanning set for a finite dimensional vector space V . Prove that there exists a subset S ′ of S that forms a basis for V . Getting Started: S is a spanning set, but it may not be a basis because it may be linearly dependent. You need to remove extra vectors so that a subset S ′ is a spanning set and is also linearly independent. (i) If S is linearly independent set, then you are done. If not, remove some vector v from S that is a linear combination of the other vectors in S . Call this set S 1 . (ii) If S 1 is a linearly independent set, then you are done. If not, then continue to remove dependent vectors until you produce a linearly independent subset S ′ . (iii) Conclude that this subset is the minimal spanning set S ′ .
Solution Summary: The author explains that the subset Sprime exists of set S which forms the basis for V.
Guided Proof Let
S
be a spanning set for a finite dimensional vector space
V
. Prove that there exists a subset
S
′
of
S
that forms a basis for
V
.
Getting Started:
S
is a spanning set, but it may not be a basis because it may be linearly dependent. You need to remove extra vectors so that a subset
S
′
is a spanning set and is also linearly independent.
(i) If
S
is linearly independent set, then you are done. If not, remove some vector
v
from
S
that is a linear combination of the other vectors in
S
. Call this set
S
1
.
(ii) If
S
1
is a linearly independent set, then you are done. If not, then continue to remove dependent vectors until you produce a linearly independent subset
S
′
.
(iii) Conclude that this subset is the minimal spanning set
S
′
.
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
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