A subspace test
A nonempty subset of a vector space is a subspace when it is closed under vector addition and scalar multiplication. The nonempty requirement ensures the zero vector is present.
Professor Dave Explains · YouTube · 5:49
Understand subspaces and spans through closure tests and concrete linear combinations.
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A nonempty subset of a vector space is a subspace when it is closed under vector addition and scalar multiplication. The nonempty requirement ensures the zero vector is present.
Vectors of the form (x,0,−x) stay in the same form after addition or scalar multiplication. This set is the span of (1,0,−1), a line through the origin.
The span of a collection consists of all its linear combinations. It is a subspace containing the collection, and every other subspace containing those vectors must also contain their span.
A nonempty subset of a vector space is a subspace when it is closed under vector addition and scalar multiplication. The nonempty requirement ensures the zero vector is present.
Vectors of the form (x,0,−x) stay in the same form after addition or scalar multiplication. This set is the span of (1,0,−1), a line through the origin.
The span of a collection consists of all its linear combinations. It is a subspace containing the collection, and every other subspace containing those vectors must also contain their span.
A nonempty subset of a vector space is a subspace when it is closed under vector addition and scalar multiplication. The nonempty requirement ensures the zero vector is present. Vectors of the form (x,0,−x) stay in the same form after addition or scalar multiplication. This set is the span of (1,0,−1), a line through the origin. The span of a collection consists of all its linear combinations. It is a subspace containing the collection, and every other subspace containing those vectors must also contain their span.
A nonempty subset of a vector space is a subspace when it is closed under vector addition and scalar multiplication. The nonempty requirement ensures the zero vector is present.
Conditions: The subset must be nonempty.; The subset must be closed under vector addition.; The subset must be closed under scalar multiplication.
The span of a collection consists of all its linear combinations. It is a subspace containing the collection, and every other subspace containing those vectors must also contain their span.
Conditions: The collection consists of one or more vectors.; Linear combinations involve scalar multiplication and vector addition.
The set is considered a subspace because vectors of the form (x,0,−x) stay in the same form after addition or scalar multiplication. This set is the span of (1,0,−1), a line through the origin.
Conditions: The vectors are of the form (x,0,-x).; The operation is vector addition or scalar multiplication.
The span is considered the smallest containing subspace because every other subspace containing those vectors must also contain their span. Since the span consists of all linear combinations, any subspace closed under addition and scalar multiplication that includes the original vectors must include all their combinations.
Conditions: The collection of vectors is fixed.; We are comparing subspaces that contain this collection.