Given a set for generators of a subspace of $R^n$, is it always possible to extend it to form a base of...











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In my heart I feel it is always possible, but the subject of an exercise makes me doubt.



It has two subspaces:



$S_1 = langle(1,-1,2,1),(2,-3,3,-1),(-1,2,-1,2)rangle$



$S_2 = langle(2,-3,1,4,1), (2,-3,3,-1,1),(1,0,-1,3,1),(1,0,-3,2,1)rangle$



It says to find base for $S_1$ and $S_2$, which I did.
then it says extend, if possible the set of generators to form a base of $mathbb{R}^4$ and $mathbb{R}^5$ respectively.



It is my understanding that when you have a n-tuple for a space of $mathbb{R}^n$ then you can always fill the missing generators. Am I right?



I understand it would not be possible for example to form a base of $mathbb{R}^4$ with vectors having only 3 components.










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  • 1




    A rather important theorem in linear algebra states that any linearly independent set in a linear space can be extended to a base of the space, so yes: you can always extend a basis of a subspace to a basis of the whole space
    – DonAntonio
    Nov 20 at 0:48






  • 1




    You can think of vectors with 3 components in $mathbb{R}^4$ as having its 4th entry 0. Then you can extend to a basis for $mathbb{R}^4$.
    – mathnoob
    Nov 20 at 0:52










  • Here is a small silly example: $(1,0,0),(0,1,0)$ forms a basis for a subspace of $Bbb R^3$. You can extend that basis by including an additional linearly independent vector (or vectors) to it, for example $(0,0,1)$, in order to make a basis for $Bbb R^3$.
    – JMoravitz
    Nov 20 at 0:53










  • Of course in my silly example, and in your examples, there are infinitely many correct answers. I could have extended the basis by instead including $(1,1,1)$ or $(pi, e, sqrt{2})$ or any other valid choice so long as it was linearly independent. The question is effectively "can you find a vector from $Bbb R^n$ which is linearly independent to your list of basis vectors that you already have" and recognizing that if you were to look at the span of all of your vectors, your original basis and whatever vector(s) you choose to include, that it spans the entirety of $Bbb R^n$.
    – JMoravitz
    Nov 20 at 0:56










  • The “if possible” takes into account the possibility that the initial set of vectors is not linearly independent.
    – amd
    2 days ago















up vote
1
down vote

favorite












In my heart I feel it is always possible, but the subject of an exercise makes me doubt.



It has two subspaces:



$S_1 = langle(1,-1,2,1),(2,-3,3,-1),(-1,2,-1,2)rangle$



$S_2 = langle(2,-3,1,4,1), (2,-3,3,-1,1),(1,0,-1,3,1),(1,0,-3,2,1)rangle$



It says to find base for $S_1$ and $S_2$, which I did.
then it says extend, if possible the set of generators to form a base of $mathbb{R}^4$ and $mathbb{R}^5$ respectively.



It is my understanding that when you have a n-tuple for a space of $mathbb{R}^n$ then you can always fill the missing generators. Am I right?



I understand it would not be possible for example to form a base of $mathbb{R}^4$ with vectors having only 3 components.










share|cite|improve this question




















  • 1




    A rather important theorem in linear algebra states that any linearly independent set in a linear space can be extended to a base of the space, so yes: you can always extend a basis of a subspace to a basis of the whole space
    – DonAntonio
    Nov 20 at 0:48






  • 1




    You can think of vectors with 3 components in $mathbb{R}^4$ as having its 4th entry 0. Then you can extend to a basis for $mathbb{R}^4$.
    – mathnoob
    Nov 20 at 0:52










  • Here is a small silly example: $(1,0,0),(0,1,0)$ forms a basis for a subspace of $Bbb R^3$. You can extend that basis by including an additional linearly independent vector (or vectors) to it, for example $(0,0,1)$, in order to make a basis for $Bbb R^3$.
    – JMoravitz
    Nov 20 at 0:53










  • Of course in my silly example, and in your examples, there are infinitely many correct answers. I could have extended the basis by instead including $(1,1,1)$ or $(pi, e, sqrt{2})$ or any other valid choice so long as it was linearly independent. The question is effectively "can you find a vector from $Bbb R^n$ which is linearly independent to your list of basis vectors that you already have" and recognizing that if you were to look at the span of all of your vectors, your original basis and whatever vector(s) you choose to include, that it spans the entirety of $Bbb R^n$.
    – JMoravitz
    Nov 20 at 0:56










  • The “if possible” takes into account the possibility that the initial set of vectors is not linearly independent.
    – amd
    2 days ago













up vote
1
down vote

favorite









up vote
1
down vote

favorite











In my heart I feel it is always possible, but the subject of an exercise makes me doubt.



It has two subspaces:



$S_1 = langle(1,-1,2,1),(2,-3,3,-1),(-1,2,-1,2)rangle$



$S_2 = langle(2,-3,1,4,1), (2,-3,3,-1,1),(1,0,-1,3,1),(1,0,-3,2,1)rangle$



It says to find base for $S_1$ and $S_2$, which I did.
then it says extend, if possible the set of generators to form a base of $mathbb{R}^4$ and $mathbb{R}^5$ respectively.



It is my understanding that when you have a n-tuple for a space of $mathbb{R}^n$ then you can always fill the missing generators. Am I right?



I understand it would not be possible for example to form a base of $mathbb{R}^4$ with vectors having only 3 components.










share|cite|improve this question















In my heart I feel it is always possible, but the subject of an exercise makes me doubt.



It has two subspaces:



$S_1 = langle(1,-1,2,1),(2,-3,3,-1),(-1,2,-1,2)rangle$



$S_2 = langle(2,-3,1,4,1), (2,-3,3,-1,1),(1,0,-1,3,1),(1,0,-3,2,1)rangle$



It says to find base for $S_1$ and $S_2$, which I did.
then it says extend, if possible the set of generators to form a base of $mathbb{R}^4$ and $mathbb{R}^5$ respectively.



It is my understanding that when you have a n-tuple for a space of $mathbb{R}^n$ then you can always fill the missing generators. Am I right?



I understand it would not be possible for example to form a base of $mathbb{R}^4$ with vectors having only 3 components.







linear-algebra






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Nov 20 at 1:08









mathnoob

67011




67011










asked Nov 20 at 0:45









JorgeeFG

2661315




2661315








  • 1




    A rather important theorem in linear algebra states that any linearly independent set in a linear space can be extended to a base of the space, so yes: you can always extend a basis of a subspace to a basis of the whole space
    – DonAntonio
    Nov 20 at 0:48






  • 1




    You can think of vectors with 3 components in $mathbb{R}^4$ as having its 4th entry 0. Then you can extend to a basis for $mathbb{R}^4$.
    – mathnoob
    Nov 20 at 0:52










  • Here is a small silly example: $(1,0,0),(0,1,0)$ forms a basis for a subspace of $Bbb R^3$. You can extend that basis by including an additional linearly independent vector (or vectors) to it, for example $(0,0,1)$, in order to make a basis for $Bbb R^3$.
    – JMoravitz
    Nov 20 at 0:53










  • Of course in my silly example, and in your examples, there are infinitely many correct answers. I could have extended the basis by instead including $(1,1,1)$ or $(pi, e, sqrt{2})$ or any other valid choice so long as it was linearly independent. The question is effectively "can you find a vector from $Bbb R^n$ which is linearly independent to your list of basis vectors that you already have" and recognizing that if you were to look at the span of all of your vectors, your original basis and whatever vector(s) you choose to include, that it spans the entirety of $Bbb R^n$.
    – JMoravitz
    Nov 20 at 0:56










  • The “if possible” takes into account the possibility that the initial set of vectors is not linearly independent.
    – amd
    2 days ago














  • 1




    A rather important theorem in linear algebra states that any linearly independent set in a linear space can be extended to a base of the space, so yes: you can always extend a basis of a subspace to a basis of the whole space
    – DonAntonio
    Nov 20 at 0:48






  • 1




    You can think of vectors with 3 components in $mathbb{R}^4$ as having its 4th entry 0. Then you can extend to a basis for $mathbb{R}^4$.
    – mathnoob
    Nov 20 at 0:52










  • Here is a small silly example: $(1,0,0),(0,1,0)$ forms a basis for a subspace of $Bbb R^3$. You can extend that basis by including an additional linearly independent vector (or vectors) to it, for example $(0,0,1)$, in order to make a basis for $Bbb R^3$.
    – JMoravitz
    Nov 20 at 0:53










  • Of course in my silly example, and in your examples, there are infinitely many correct answers. I could have extended the basis by instead including $(1,1,1)$ or $(pi, e, sqrt{2})$ or any other valid choice so long as it was linearly independent. The question is effectively "can you find a vector from $Bbb R^n$ which is linearly independent to your list of basis vectors that you already have" and recognizing that if you were to look at the span of all of your vectors, your original basis and whatever vector(s) you choose to include, that it spans the entirety of $Bbb R^n$.
    – JMoravitz
    Nov 20 at 0:56










  • The “if possible” takes into account the possibility that the initial set of vectors is not linearly independent.
    – amd
    2 days ago








1




1




A rather important theorem in linear algebra states that any linearly independent set in a linear space can be extended to a base of the space, so yes: you can always extend a basis of a subspace to a basis of the whole space
– DonAntonio
Nov 20 at 0:48




A rather important theorem in linear algebra states that any linearly independent set in a linear space can be extended to a base of the space, so yes: you can always extend a basis of a subspace to a basis of the whole space
– DonAntonio
Nov 20 at 0:48




1




1




You can think of vectors with 3 components in $mathbb{R}^4$ as having its 4th entry 0. Then you can extend to a basis for $mathbb{R}^4$.
– mathnoob
Nov 20 at 0:52




You can think of vectors with 3 components in $mathbb{R}^4$ as having its 4th entry 0. Then you can extend to a basis for $mathbb{R}^4$.
– mathnoob
Nov 20 at 0:52












Here is a small silly example: $(1,0,0),(0,1,0)$ forms a basis for a subspace of $Bbb R^3$. You can extend that basis by including an additional linearly independent vector (or vectors) to it, for example $(0,0,1)$, in order to make a basis for $Bbb R^3$.
– JMoravitz
Nov 20 at 0:53




Here is a small silly example: $(1,0,0),(0,1,0)$ forms a basis for a subspace of $Bbb R^3$. You can extend that basis by including an additional linearly independent vector (or vectors) to it, for example $(0,0,1)$, in order to make a basis for $Bbb R^3$.
– JMoravitz
Nov 20 at 0:53












Of course in my silly example, and in your examples, there are infinitely many correct answers. I could have extended the basis by instead including $(1,1,1)$ or $(pi, e, sqrt{2})$ or any other valid choice so long as it was linearly independent. The question is effectively "can you find a vector from $Bbb R^n$ which is linearly independent to your list of basis vectors that you already have" and recognizing that if you were to look at the span of all of your vectors, your original basis and whatever vector(s) you choose to include, that it spans the entirety of $Bbb R^n$.
– JMoravitz
Nov 20 at 0:56




Of course in my silly example, and in your examples, there are infinitely many correct answers. I could have extended the basis by instead including $(1,1,1)$ or $(pi, e, sqrt{2})$ or any other valid choice so long as it was linearly independent. The question is effectively "can you find a vector from $Bbb R^n$ which is linearly independent to your list of basis vectors that you already have" and recognizing that if you were to look at the span of all of your vectors, your original basis and whatever vector(s) you choose to include, that it spans the entirety of $Bbb R^n$.
– JMoravitz
Nov 20 at 0:56












The “if possible” takes into account the possibility that the initial set of vectors is not linearly independent.
– amd
2 days ago




The “if possible” takes into account the possibility that the initial set of vectors is not linearly independent.
– amd
2 days ago















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