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=What is a "subspace" in linear algebra?=
 
A subset (call it W) of vectors is a subspace when it satisfies these conditions:
 
A subset (call it W) of vectors is a subspace when it satisfies these conditions:
  
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* If two vectors u and v are in W, then u+v must also be in W. (This is called "[[closed under addition]]")
 
* If two vectors u and v are in W, then u+v must also be in W. (This is called "[[closed under addition]]")
 
* If the vector v is in W, and k is some [[scalar]] (ie just some number), then kv must also be in W. (This is called "[[closed under scalar multiplication]]").
 
* If the vector v is in W, and k is some [[scalar]] (ie just some number), then kv must also be in W. (This is called "[[closed under scalar multiplication]]").
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*In other words, every linear combination of two vectors in W is also in W.
  
 
Testing these conditions is the best way to see if W is a subspace.
 
Testing these conditions is the best way to see if W is a subspace.
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*A plane passing through the origin
 
*A plane passing through the origin
 
*<math>{\mathbb R}^3</math>
 
*<math>{\mathbb R}^3</math>
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[[Category:MA351]]
 
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Latest revision as of 15:27, 11 March 2013

What is a "subspace" in linear algebra?

A subset (call it W) of vectors is a subspace when it satisfies these conditions:

Testing these conditions is the best way to see if W is a subspace.

Some common subspaces of $ {\mathbb R}^3 $

  • The zero vector, $ \vec 0 $
  • A line running through the origin
  • A plane passing through the origin
  • $ {\mathbb R}^3 $

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