The work of elimination is cut in half when $A$ is symmetric












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I am going through the book "Gilbert Strang - Introduction to Linear Algebra, Third Edition (2003)" and as I was working through the chapter of transpose matrices and solving systems of linear equations, I got stuck at this one particular sentence.
ss
What does the author mean by 'smaller matrices', and how do they stay the same as elimination proceeds.

I tried doing the process by hand, chose a 3x3 symmetric matrix, and I didn't see the symmetry until the very end: $A = LDU = LDL^T$

Also, as you may notice, in the end he even says the work of elimination is cut in half. I really don't see this.










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  • 2




    $begingroup$
    After one step of Gaussian elimination on an $n times n$ matrix $M_{n}$, you get a matrix of the form $$pmatrix{ a_{1} & a_{2} & ldots & a_{n} \ 0 & & & \ vdots & & M_{n-1}& \ 0 & & & \ }$$ where $M_{n-1}$ is an $(n-1) times (n-1)$ (smaller) matrix. I think these are the `smaller matrices' which are all symmetric.
    $endgroup$
    – preferred_anon
    Feb 3 at 9:38








  • 1




    $begingroup$
    Yes, I see it now. Thanks a ton
    $endgroup$
    – zafirzarya
    Feb 3 at 9:51
















2












$begingroup$


I am going through the book "Gilbert Strang - Introduction to Linear Algebra, Third Edition (2003)" and as I was working through the chapter of transpose matrices and solving systems of linear equations, I got stuck at this one particular sentence.
ss
What does the author mean by 'smaller matrices', and how do they stay the same as elimination proceeds.

I tried doing the process by hand, chose a 3x3 symmetric matrix, and I didn't see the symmetry until the very end: $A = LDU = LDL^T$

Also, as you may notice, in the end he even says the work of elimination is cut in half. I really don't see this.










share|cite|improve this question









$endgroup$








  • 2




    $begingroup$
    After one step of Gaussian elimination on an $n times n$ matrix $M_{n}$, you get a matrix of the form $$pmatrix{ a_{1} & a_{2} & ldots & a_{n} \ 0 & & & \ vdots & & M_{n-1}& \ 0 & & & \ }$$ where $M_{n-1}$ is an $(n-1) times (n-1)$ (smaller) matrix. I think these are the `smaller matrices' which are all symmetric.
    $endgroup$
    – preferred_anon
    Feb 3 at 9:38








  • 1




    $begingroup$
    Yes, I see it now. Thanks a ton
    $endgroup$
    – zafirzarya
    Feb 3 at 9:51














2












2








2





$begingroup$


I am going through the book "Gilbert Strang - Introduction to Linear Algebra, Third Edition (2003)" and as I was working through the chapter of transpose matrices and solving systems of linear equations, I got stuck at this one particular sentence.
ss
What does the author mean by 'smaller matrices', and how do they stay the same as elimination proceeds.

I tried doing the process by hand, chose a 3x3 symmetric matrix, and I didn't see the symmetry until the very end: $A = LDU = LDL^T$

Also, as you may notice, in the end he even says the work of elimination is cut in half. I really don't see this.










share|cite|improve this question









$endgroup$




I am going through the book "Gilbert Strang - Introduction to Linear Algebra, Third Edition (2003)" and as I was working through the chapter of transpose matrices and solving systems of linear equations, I got stuck at this one particular sentence.
ss
What does the author mean by 'smaller matrices', and how do they stay the same as elimination proceeds.

I tried doing the process by hand, chose a 3x3 symmetric matrix, and I didn't see the symmetry until the very end: $A = LDU = LDL^T$

Also, as you may notice, in the end he even says the work of elimination is cut in half. I really don't see this.







linear-algebra






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share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Feb 3 at 9:00









zafirzaryazafirzarya

424




424








  • 2




    $begingroup$
    After one step of Gaussian elimination on an $n times n$ matrix $M_{n}$, you get a matrix of the form $$pmatrix{ a_{1} & a_{2} & ldots & a_{n} \ 0 & & & \ vdots & & M_{n-1}& \ 0 & & & \ }$$ where $M_{n-1}$ is an $(n-1) times (n-1)$ (smaller) matrix. I think these are the `smaller matrices' which are all symmetric.
    $endgroup$
    – preferred_anon
    Feb 3 at 9:38








  • 1




    $begingroup$
    Yes, I see it now. Thanks a ton
    $endgroup$
    – zafirzarya
    Feb 3 at 9:51














  • 2




    $begingroup$
    After one step of Gaussian elimination on an $n times n$ matrix $M_{n}$, you get a matrix of the form $$pmatrix{ a_{1} & a_{2} & ldots & a_{n} \ 0 & & & \ vdots & & M_{n-1}& \ 0 & & & \ }$$ where $M_{n-1}$ is an $(n-1) times (n-1)$ (smaller) matrix. I think these are the `smaller matrices' which are all symmetric.
    $endgroup$
    – preferred_anon
    Feb 3 at 9:38








  • 1




    $begingroup$
    Yes, I see it now. Thanks a ton
    $endgroup$
    – zafirzarya
    Feb 3 at 9:51








2




2




$begingroup$
After one step of Gaussian elimination on an $n times n$ matrix $M_{n}$, you get a matrix of the form $$pmatrix{ a_{1} & a_{2} & ldots & a_{n} \ 0 & & & \ vdots & & M_{n-1}& \ 0 & & & \ }$$ where $M_{n-1}$ is an $(n-1) times (n-1)$ (smaller) matrix. I think these are the `smaller matrices' which are all symmetric.
$endgroup$
– preferred_anon
Feb 3 at 9:38






$begingroup$
After one step of Gaussian elimination on an $n times n$ matrix $M_{n}$, you get a matrix of the form $$pmatrix{ a_{1} & a_{2} & ldots & a_{n} \ 0 & & & \ vdots & & M_{n-1}& \ 0 & & & \ }$$ where $M_{n-1}$ is an $(n-1) times (n-1)$ (smaller) matrix. I think these are the `smaller matrices' which are all symmetric.
$endgroup$
– preferred_anon
Feb 3 at 9:38






1




1




$begingroup$
Yes, I see it now. Thanks a ton
$endgroup$
– zafirzarya
Feb 3 at 9:51




$begingroup$
Yes, I see it now. Thanks a ton
$endgroup$
– zafirzarya
Feb 3 at 9:51










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