Finding a Basis for R4 with Given Data

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Homework Help Overview

The discussion revolves around finding a basis for a subspace W of R4 defined by specific linear equations. The original poster attempts to identify vectors that are independent and span the entirety of R4, given the constraints of the subspace.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • The original poster suggests a potential basis for R4 that includes vectors they believe are independent. They question the mathematical method for determining additional vectors needed to complete the basis for R4 given the constraints of W.

Discussion Status

Some participants provide references to methods such as the Gram-Schmidt process, while others engage in a conceptual clarification regarding the nature of linear independence between different bases of the same subspace. There appears to be an exploration of definitions and properties related to bases and linear independence.

Contextual Notes

The original poster is working under the constraints of specific linear equations that define the subspace W, and there is an implicit need to adhere to the rules of linear algebra regarding bases and independence.

Dell
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i am given a subspace of R4 W={(a b c d)} and know a+c=0 c-2d=0, and am asked to find a basis for W,
i wrote (-2 0 2 1)(0 1 0 0),
now i am asked to find the missing vectors so that the new basis will be a basis for R4. to find this i need vectors that are independent and are the basis for R4-W? how can i do this??
just a guess would be (-2 0 2 1)(0 1 0 0)(0 0 1 0)(0 0 0 1) but that's just because i know that those four would cover the whole space and are independent. what is the mathematical way of solving this?
 
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Gram-Schmidt process --http://en.wikipedia.org/wiki/Gram_schmidt
 
another question, not related,
is it possible for 2 separate basises of a subspace to be linearly independent of one another, or do they always need to be independent
 
I don't think it's meaningful to talk about one basis being independent of another. For linear independence/dependence, we're always talking about a collection of vectors.

Suppose v1, v2, ... , vn are a basis for a subspace W and u1, u2, ..., un are another basis for W. The set of vectors {v1, v2, ..., vn, u1} has to be a linearly dependent set, meaning that u1 has to be a linear combination of v1, v2, ... , vn.

A basis for a subspace W is the largest set of vectors that a) is linearly independent, and b) spans W. If you add any vector to this basis, the added vector must be a linear combination of the original basis vectors.
 

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