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 a 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 S1.(ii) If S1 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′.
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 a 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 S1.(ii) If S1 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′.
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 a 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 S1. (ii) If S1 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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