Linear algebra question about combination linear transformations











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Suppose that $T : M_{2×2}(Bbb R) rightarrow U_{2×2}(Bbb R)$ and $S : U_{2×2}(Bbb R) rightarrow P_3$ are linear transformations.
Then the composition map $S circ T : M_{2×2}(Bbb R) rightarrow P_3$ is never one-to-one.



To prove this is wrong, I have created a transformation $T$ and $S$ such that the standard matrix for the transformation $S circ T$ has a pivot in every column, and thus, one-to-one. However, I am not sure if I am on the right track or missing something, as this answer seems too easy.










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  • Please help us to help you by explaining your notation. $M_{2times2}(Bbb{R})$ could well be the set of of $2 times 2$ matrices with elements in $Bbb{R}$ and $U_{2times2}(Bbb{R})$ might be the set of upper-triangular matrices. I can't hazard a guess about $P_3$. You need to tell us what the notations mean in your context.
    – Rob Arthan
    Nov 18 at 23:54












  • @RobArthan Hmm... Polynomials of degree at most 3? Then it would be $Bbb R^4to Bbb R^3toBbb R^4$.
    – A.Γ.
    Nov 19 at 0:07












  • @RobArthan U2×2(ℝ) is the set of upper triangular matrices and P3 is the set of polynomials of degree at most 3.
    – question123
    Nov 19 at 0:26










  • @A.Γ. Actually, I knew that with the obvious guess about the meaning $M$ and $U$ it didn't matter what $P_3$ meant, but the OP should have been more conscientious.
    – Rob Arthan
    Nov 19 at 1:03










  • @RobArthan I totally agree with you.
    – A.Γ.
    Nov 19 at 12:57















up vote
0
down vote

favorite












Suppose that $T : M_{2×2}(Bbb R) rightarrow U_{2×2}(Bbb R)$ and $S : U_{2×2}(Bbb R) rightarrow P_3$ are linear transformations.
Then the composition map $S circ T : M_{2×2}(Bbb R) rightarrow P_3$ is never one-to-one.



To prove this is wrong, I have created a transformation $T$ and $S$ such that the standard matrix for the transformation $S circ T$ has a pivot in every column, and thus, one-to-one. However, I am not sure if I am on the right track or missing something, as this answer seems too easy.










share|cite|improve this question
























  • Please help us to help you by explaining your notation. $M_{2times2}(Bbb{R})$ could well be the set of of $2 times 2$ matrices with elements in $Bbb{R}$ and $U_{2times2}(Bbb{R})$ might be the set of upper-triangular matrices. I can't hazard a guess about $P_3$. You need to tell us what the notations mean in your context.
    – Rob Arthan
    Nov 18 at 23:54












  • @RobArthan Hmm... Polynomials of degree at most 3? Then it would be $Bbb R^4to Bbb R^3toBbb R^4$.
    – A.Γ.
    Nov 19 at 0:07












  • @RobArthan U2×2(ℝ) is the set of upper triangular matrices and P3 is the set of polynomials of degree at most 3.
    – question123
    Nov 19 at 0:26










  • @A.Γ. Actually, I knew that with the obvious guess about the meaning $M$ and $U$ it didn't matter what $P_3$ meant, but the OP should have been more conscientious.
    – Rob Arthan
    Nov 19 at 1:03










  • @RobArthan I totally agree with you.
    – A.Γ.
    Nov 19 at 12:57













up vote
0
down vote

favorite









up vote
0
down vote

favorite











Suppose that $T : M_{2×2}(Bbb R) rightarrow U_{2×2}(Bbb R)$ and $S : U_{2×2}(Bbb R) rightarrow P_3$ are linear transformations.
Then the composition map $S circ T : M_{2×2}(Bbb R) rightarrow P_3$ is never one-to-one.



To prove this is wrong, I have created a transformation $T$ and $S$ such that the standard matrix for the transformation $S circ T$ has a pivot in every column, and thus, one-to-one. However, I am not sure if I am on the right track or missing something, as this answer seems too easy.










share|cite|improve this question















Suppose that $T : M_{2×2}(Bbb R) rightarrow U_{2×2}(Bbb R)$ and $S : U_{2×2}(Bbb R) rightarrow P_3$ are linear transformations.
Then the composition map $S circ T : M_{2×2}(Bbb R) rightarrow P_3$ is never one-to-one.



To prove this is wrong, I have created a transformation $T$ and $S$ such that the standard matrix for the transformation $S circ T$ has a pivot in every column, and thus, one-to-one. However, I am not sure if I am on the right track or missing something, as this answer seems too easy.







linear-algebra matrices vector-spaces linear-transformations






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edited Nov 18 at 23:47









Joey Kilpatrick

1,183422




1,183422










asked Nov 18 at 23:42









question123

11




11












  • Please help us to help you by explaining your notation. $M_{2times2}(Bbb{R})$ could well be the set of of $2 times 2$ matrices with elements in $Bbb{R}$ and $U_{2times2}(Bbb{R})$ might be the set of upper-triangular matrices. I can't hazard a guess about $P_3$. You need to tell us what the notations mean in your context.
    – Rob Arthan
    Nov 18 at 23:54












  • @RobArthan Hmm... Polynomials of degree at most 3? Then it would be $Bbb R^4to Bbb R^3toBbb R^4$.
    – A.Γ.
    Nov 19 at 0:07












  • @RobArthan U2×2(ℝ) is the set of upper triangular matrices and P3 is the set of polynomials of degree at most 3.
    – question123
    Nov 19 at 0:26










  • @A.Γ. Actually, I knew that with the obvious guess about the meaning $M$ and $U$ it didn't matter what $P_3$ meant, but the OP should have been more conscientious.
    – Rob Arthan
    Nov 19 at 1:03










  • @RobArthan I totally agree with you.
    – A.Γ.
    Nov 19 at 12:57


















  • Please help us to help you by explaining your notation. $M_{2times2}(Bbb{R})$ could well be the set of of $2 times 2$ matrices with elements in $Bbb{R}$ and $U_{2times2}(Bbb{R})$ might be the set of upper-triangular matrices. I can't hazard a guess about $P_3$. You need to tell us what the notations mean in your context.
    – Rob Arthan
    Nov 18 at 23:54












  • @RobArthan Hmm... Polynomials of degree at most 3? Then it would be $Bbb R^4to Bbb R^3toBbb R^4$.
    – A.Γ.
    Nov 19 at 0:07












  • @RobArthan U2×2(ℝ) is the set of upper triangular matrices and P3 is the set of polynomials of degree at most 3.
    – question123
    Nov 19 at 0:26










  • @A.Γ. Actually, I knew that with the obvious guess about the meaning $M$ and $U$ it didn't matter what $P_3$ meant, but the OP should have been more conscientious.
    – Rob Arthan
    Nov 19 at 1:03










  • @RobArthan I totally agree with you.
    – A.Γ.
    Nov 19 at 12:57
















Please help us to help you by explaining your notation. $M_{2times2}(Bbb{R})$ could well be the set of of $2 times 2$ matrices with elements in $Bbb{R}$ and $U_{2times2}(Bbb{R})$ might be the set of upper-triangular matrices. I can't hazard a guess about $P_3$. You need to tell us what the notations mean in your context.
– Rob Arthan
Nov 18 at 23:54






Please help us to help you by explaining your notation. $M_{2times2}(Bbb{R})$ could well be the set of of $2 times 2$ matrices with elements in $Bbb{R}$ and $U_{2times2}(Bbb{R})$ might be the set of upper-triangular matrices. I can't hazard a guess about $P_3$. You need to tell us what the notations mean in your context.
– Rob Arthan
Nov 18 at 23:54














@RobArthan Hmm... Polynomials of degree at most 3? Then it would be $Bbb R^4to Bbb R^3toBbb R^4$.
– A.Γ.
Nov 19 at 0:07






@RobArthan Hmm... Polynomials of degree at most 3? Then it would be $Bbb R^4to Bbb R^3toBbb R^4$.
– A.Γ.
Nov 19 at 0:07














@RobArthan U2×2(ℝ) is the set of upper triangular matrices and P3 is the set of polynomials of degree at most 3.
– question123
Nov 19 at 0:26




@RobArthan U2×2(ℝ) is the set of upper triangular matrices and P3 is the set of polynomials of degree at most 3.
– question123
Nov 19 at 0:26












@A.Γ. Actually, I knew that with the obvious guess about the meaning $M$ and $U$ it didn't matter what $P_3$ meant, but the OP should have been more conscientious.
– Rob Arthan
Nov 19 at 1:03




@A.Γ. Actually, I knew that with the obvious guess about the meaning $M$ and $U$ it didn't matter what $P_3$ meant, but the OP should have been more conscientious.
– Rob Arthan
Nov 19 at 1:03












@RobArthan I totally agree with you.
– A.Γ.
Nov 19 at 12:57




@RobArthan I totally agree with you.
– A.Γ.
Nov 19 at 12:57










1 Answer
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Following your comment clarifying the notation:



$M_{2times2}(Bbb{R})$ ($2times2$ matrices with real number entries) is a $4$-dimensional vector space over $Bbb{R}$. $U_{2times2}(Bbb{R})$ (upper-triangular $2times2$ matrices with real number entries) is a $3$-dimensional vector space over $Bbb{R}$.



Any linear transformation $T : M_{2times2}(Bbb{R}) to U_{2times2}(Bbb{R})$ must have a kernel of dimension at least $1$. So for any real vector space $V$ and any linear transformatiom $S : U_{2times2}(Bbb{R}) to V$, the composite $S circ T$ will have a non-trivial kernel and hence will not be one-one.






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    Following your comment clarifying the notation:



    $M_{2times2}(Bbb{R})$ ($2times2$ matrices with real number entries) is a $4$-dimensional vector space over $Bbb{R}$. $U_{2times2}(Bbb{R})$ (upper-triangular $2times2$ matrices with real number entries) is a $3$-dimensional vector space over $Bbb{R}$.



    Any linear transformation $T : M_{2times2}(Bbb{R}) to U_{2times2}(Bbb{R})$ must have a kernel of dimension at least $1$. So for any real vector space $V$ and any linear transformatiom $S : U_{2times2}(Bbb{R}) to V$, the composite $S circ T$ will have a non-trivial kernel and hence will not be one-one.






    share|cite|improve this answer



























      up vote
      0
      down vote













      Following your comment clarifying the notation:



      $M_{2times2}(Bbb{R})$ ($2times2$ matrices with real number entries) is a $4$-dimensional vector space over $Bbb{R}$. $U_{2times2}(Bbb{R})$ (upper-triangular $2times2$ matrices with real number entries) is a $3$-dimensional vector space over $Bbb{R}$.



      Any linear transformation $T : M_{2times2}(Bbb{R}) to U_{2times2}(Bbb{R})$ must have a kernel of dimension at least $1$. So for any real vector space $V$ and any linear transformatiom $S : U_{2times2}(Bbb{R}) to V$, the composite $S circ T$ will have a non-trivial kernel and hence will not be one-one.






      share|cite|improve this answer

























        up vote
        0
        down vote










        up vote
        0
        down vote









        Following your comment clarifying the notation:



        $M_{2times2}(Bbb{R})$ ($2times2$ matrices with real number entries) is a $4$-dimensional vector space over $Bbb{R}$. $U_{2times2}(Bbb{R})$ (upper-triangular $2times2$ matrices with real number entries) is a $3$-dimensional vector space over $Bbb{R}$.



        Any linear transformation $T : M_{2times2}(Bbb{R}) to U_{2times2}(Bbb{R})$ must have a kernel of dimension at least $1$. So for any real vector space $V$ and any linear transformatiom $S : U_{2times2}(Bbb{R}) to V$, the composite $S circ T$ will have a non-trivial kernel and hence will not be one-one.






        share|cite|improve this answer














        Following your comment clarifying the notation:



        $M_{2times2}(Bbb{R})$ ($2times2$ matrices with real number entries) is a $4$-dimensional vector space over $Bbb{R}$. $U_{2times2}(Bbb{R})$ (upper-triangular $2times2$ matrices with real number entries) is a $3$-dimensional vector space over $Bbb{R}$.



        Any linear transformation $T : M_{2times2}(Bbb{R}) to U_{2times2}(Bbb{R})$ must have a kernel of dimension at least $1$. So for any real vector space $V$ and any linear transformatiom $S : U_{2times2}(Bbb{R}) to V$, the composite $S circ T$ will have a non-trivial kernel and hence will not be one-one.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Nov 19 at 0:57

























        answered Nov 19 at 0:52









        Rob Arthan

        28.6k42865




        28.6k42865






























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