Why does adding a multiple of an equation to another equation in linear algebra result in row equivalence?

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Why is number 3 true? In theory, why does this work? Why are these systems equivalent?



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I also don't understand what the above is trying to get at. How do you figure out 1?







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  • Definitions are your friends. To reason mathematically (or explain) why two systems of equations are equivalent (as you ask), one needs to begin with a definition of when two systems of equations are equivalent. The large images of textbook material are a poor substitute for using your own words to explain what you want help with.
    – hardmath
    Jul 16 at 13:49














up vote
0
down vote

favorite












enter image description here



Why is number 3 true? In theory, why does this work? Why are these systems equivalent?



enter image description here



I also don't understand what the above is trying to get at. How do you figure out 1?







share|cite|improve this question



















  • Definitions are your friends. To reason mathematically (or explain) why two systems of equations are equivalent (as you ask), one needs to begin with a definition of when two systems of equations are equivalent. The large images of textbook material are a poor substitute for using your own words to explain what you want help with.
    – hardmath
    Jul 16 at 13:49












up vote
0
down vote

favorite









up vote
0
down vote

favorite











enter image description here



Why is number 3 true? In theory, why does this work? Why are these systems equivalent?



enter image description here



I also don't understand what the above is trying to get at. How do you figure out 1?







share|cite|improve this question











enter image description here



Why is number 3 true? In theory, why does this work? Why are these systems equivalent?



enter image description here



I also don't understand what the above is trying to get at. How do you figure out 1?









share|cite|improve this question










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asked Jul 15 at 23:04









Jwan622

1,61211224




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  • Definitions are your friends. To reason mathematically (or explain) why two systems of equations are equivalent (as you ask), one needs to begin with a definition of when two systems of equations are equivalent. The large images of textbook material are a poor substitute for using your own words to explain what you want help with.
    – hardmath
    Jul 16 at 13:49
















  • Definitions are your friends. To reason mathematically (or explain) why two systems of equations are equivalent (as you ask), one needs to begin with a definition of when two systems of equations are equivalent. The large images of textbook material are a poor substitute for using your own words to explain what you want help with.
    – hardmath
    Jul 16 at 13:49















Definitions are your friends. To reason mathematically (or explain) why two systems of equations are equivalent (as you ask), one needs to begin with a definition of when two systems of equations are equivalent. The large images of textbook material are a poor substitute for using your own words to explain what you want help with.
– hardmath
Jul 16 at 13:49




Definitions are your friends. To reason mathematically (or explain) why two systems of equations are equivalent (as you ask), one needs to begin with a definition of when two systems of equations are equivalent. The large images of textbook material are a poor substitute for using your own words to explain what you want help with.
– hardmath
Jul 16 at 13:49










3 Answers
3






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oldest

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up vote
3
down vote



accepted










When you have an equation you essentially have the statement $a = b$. When two equations are involved, you also have $c = d$.



Now let's assume both these statements are true. Then we can start with one:



$$a = b$$



Add $rc$ to both sides (this is obviously true), with arbitrary real $r$:



$$a + rc = b + rc$$



And finally use $c = d$ to replace the $c$ on the right hand side:



$$a + rc = b + rd$$



That is, in a system of equations, you can add an arbitrary multiple of an equation to another equation and still have an equivalent system. What is meant by that is iff one system is true then the other must be as well.






share|cite|improve this answer























  • This is also an excellent way to teach this material.
    – Randall
    Jul 16 at 13:36










  • @Randall Thanks :)
    – orlp
    Jul 16 at 18:21

















up vote
1
down vote













For example if we have the equations $3y+2x=6$ and $5y-2x=10$ we can easily find the values of $x$ and $y$ by adding those two equations to get $y$ and then find $x$.



But if we have the equations like $3x+y=9$ and $5x+4y=22$ we cannot just add or subtract these two equations. we need to multiply with the multiple of the other equations in order to make the $x$ or $y$ values equal.



Note that every homogeneous system of linear equations is consistent. If the system has fewer equations than variables, then it is said to have an infinite number of solutions.






share|cite|improve this answer




























    up vote
    0
    down vote













    Since you said "in theory"... :)



    For a more abstract viewpoint (which may be helpful once you get further in your linear algebra studies), note that a system of linear equations



    $$
    a_11 x_1 + a_12 x_2 + cdots + a_1m x_m = b_1 \
    a_21 x_1 + a_22 x_2 + cdots + a_2m x_m = b_2 \
    vdots \
    a_n1 x_1 + a_n2 x_2 + cdots + a_nm x_m = b_n
    $$



    can be rewritten as a matrix equation



    $$
    A vecx = vecb,
    $$
    and that each elementary row operation is equivalent to multiplication on both sides of this equation by an elementary matrix, i.e. changing $A vecx = vecb$ to the modified system
    $$
    E A vecx = E vecb.
    $$



    From this point it is easy to see that if $vecx$ is a solution set to the original system, then it is also a solution to the modified system.



    Now you may be asking why we care about solutions to the modified system --- we were trying to solve $A vecx = vecb$, not $E A vecx = E vecb$. Well, it is a basic exercise in linear algebra to show that each type of elementary matrix is invertible (in fact they generate all invertible matrices!), so that if $vecx$ solves the modified system, we can "undo" the elementary matrices and see that $vecx$ solves the original system as well:



    $$
    E A vecx = Evecb iff E^-1 E A vecx = E^-1 E vecb iff A vecx = vecb.
    $$



    In short, multiplication by elementary (or invertible) matrices preserves the solution set of the matrix equation. This is the more abstract / theoretical viewpoint of why Gaussian elimination works.






    share|cite|improve this answer























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      3 Answers
      3






      active

      oldest

      votes








      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes








      up vote
      3
      down vote



      accepted










      When you have an equation you essentially have the statement $a = b$. When two equations are involved, you also have $c = d$.



      Now let's assume both these statements are true. Then we can start with one:



      $$a = b$$



      Add $rc$ to both sides (this is obviously true), with arbitrary real $r$:



      $$a + rc = b + rc$$



      And finally use $c = d$ to replace the $c$ on the right hand side:



      $$a + rc = b + rd$$



      That is, in a system of equations, you can add an arbitrary multiple of an equation to another equation and still have an equivalent system. What is meant by that is iff one system is true then the other must be as well.






      share|cite|improve this answer























      • This is also an excellent way to teach this material.
        – Randall
        Jul 16 at 13:36










      • @Randall Thanks :)
        – orlp
        Jul 16 at 18:21














      up vote
      3
      down vote



      accepted










      When you have an equation you essentially have the statement $a = b$. When two equations are involved, you also have $c = d$.



      Now let's assume both these statements are true. Then we can start with one:



      $$a = b$$



      Add $rc$ to both sides (this is obviously true), with arbitrary real $r$:



      $$a + rc = b + rc$$



      And finally use $c = d$ to replace the $c$ on the right hand side:



      $$a + rc = b + rd$$



      That is, in a system of equations, you can add an arbitrary multiple of an equation to another equation and still have an equivalent system. What is meant by that is iff one system is true then the other must be as well.






      share|cite|improve this answer























      • This is also an excellent way to teach this material.
        – Randall
        Jul 16 at 13:36










      • @Randall Thanks :)
        – orlp
        Jul 16 at 18:21












      up vote
      3
      down vote



      accepted







      up vote
      3
      down vote



      accepted






      When you have an equation you essentially have the statement $a = b$. When two equations are involved, you also have $c = d$.



      Now let's assume both these statements are true. Then we can start with one:



      $$a = b$$



      Add $rc$ to both sides (this is obviously true), with arbitrary real $r$:



      $$a + rc = b + rc$$



      And finally use $c = d$ to replace the $c$ on the right hand side:



      $$a + rc = b + rd$$



      That is, in a system of equations, you can add an arbitrary multiple of an equation to another equation and still have an equivalent system. What is meant by that is iff one system is true then the other must be as well.






      share|cite|improve this answer















      When you have an equation you essentially have the statement $a = b$. When two equations are involved, you also have $c = d$.



      Now let's assume both these statements are true. Then we can start with one:



      $$a = b$$



      Add $rc$ to both sides (this is obviously true), with arbitrary real $r$:



      $$a + rc = b + rc$$



      And finally use $c = d$ to replace the $c$ on the right hand side:



      $$a + rc = b + rd$$



      That is, in a system of equations, you can add an arbitrary multiple of an equation to another equation and still have an equivalent system. What is meant by that is iff one system is true then the other must be as well.







      share|cite|improve this answer















      share|cite|improve this answer



      share|cite|improve this answer








      edited Jul 15 at 23:23


























      answered Jul 15 at 23:14









      orlp

      6,6051228




      6,6051228











      • This is also an excellent way to teach this material.
        – Randall
        Jul 16 at 13:36










      • @Randall Thanks :)
        – orlp
        Jul 16 at 18:21
















      • This is also an excellent way to teach this material.
        – Randall
        Jul 16 at 13:36










      • @Randall Thanks :)
        – orlp
        Jul 16 at 18:21















      This is also an excellent way to teach this material.
      – Randall
      Jul 16 at 13:36




      This is also an excellent way to teach this material.
      – Randall
      Jul 16 at 13:36












      @Randall Thanks :)
      – orlp
      Jul 16 at 18:21




      @Randall Thanks :)
      – orlp
      Jul 16 at 18:21










      up vote
      1
      down vote













      For example if we have the equations $3y+2x=6$ and $5y-2x=10$ we can easily find the values of $x$ and $y$ by adding those two equations to get $y$ and then find $x$.



      But if we have the equations like $3x+y=9$ and $5x+4y=22$ we cannot just add or subtract these two equations. we need to multiply with the multiple of the other equations in order to make the $x$ or $y$ values equal.



      Note that every homogeneous system of linear equations is consistent. If the system has fewer equations than variables, then it is said to have an infinite number of solutions.






      share|cite|improve this answer

























        up vote
        1
        down vote













        For example if we have the equations $3y+2x=6$ and $5y-2x=10$ we can easily find the values of $x$ and $y$ by adding those two equations to get $y$ and then find $x$.



        But if we have the equations like $3x+y=9$ and $5x+4y=22$ we cannot just add or subtract these two equations. we need to multiply with the multiple of the other equations in order to make the $x$ or $y$ values equal.



        Note that every homogeneous system of linear equations is consistent. If the system has fewer equations than variables, then it is said to have an infinite number of solutions.






        share|cite|improve this answer























          up vote
          1
          down vote










          up vote
          1
          down vote









          For example if we have the equations $3y+2x=6$ and $5y-2x=10$ we can easily find the values of $x$ and $y$ by adding those two equations to get $y$ and then find $x$.



          But if we have the equations like $3x+y=9$ and $5x+4y=22$ we cannot just add or subtract these two equations. we need to multiply with the multiple of the other equations in order to make the $x$ or $y$ values equal.



          Note that every homogeneous system of linear equations is consistent. If the system has fewer equations than variables, then it is said to have an infinite number of solutions.






          share|cite|improve this answer













          For example if we have the equations $3y+2x=6$ and $5y-2x=10$ we can easily find the values of $x$ and $y$ by adding those two equations to get $y$ and then find $x$.



          But if we have the equations like $3x+y=9$ and $5x+4y=22$ we cannot just add or subtract these two equations. we need to multiply with the multiple of the other equations in order to make the $x$ or $y$ values equal.



          Note that every homogeneous system of linear equations is consistent. If the system has fewer equations than variables, then it is said to have an infinite number of solutions.







          share|cite|improve this answer













          share|cite|improve this answer



          share|cite|improve this answer











          answered Jul 15 at 23:17









          Key Flex

          4,416525




          4,416525




















              up vote
              0
              down vote













              Since you said "in theory"... :)



              For a more abstract viewpoint (which may be helpful once you get further in your linear algebra studies), note that a system of linear equations



              $$
              a_11 x_1 + a_12 x_2 + cdots + a_1m x_m = b_1 \
              a_21 x_1 + a_22 x_2 + cdots + a_2m x_m = b_2 \
              vdots \
              a_n1 x_1 + a_n2 x_2 + cdots + a_nm x_m = b_n
              $$



              can be rewritten as a matrix equation



              $$
              A vecx = vecb,
              $$
              and that each elementary row operation is equivalent to multiplication on both sides of this equation by an elementary matrix, i.e. changing $A vecx = vecb$ to the modified system
              $$
              E A vecx = E vecb.
              $$



              From this point it is easy to see that if $vecx$ is a solution set to the original system, then it is also a solution to the modified system.



              Now you may be asking why we care about solutions to the modified system --- we were trying to solve $A vecx = vecb$, not $E A vecx = E vecb$. Well, it is a basic exercise in linear algebra to show that each type of elementary matrix is invertible (in fact they generate all invertible matrices!), so that if $vecx$ solves the modified system, we can "undo" the elementary matrices and see that $vecx$ solves the original system as well:



              $$
              E A vecx = Evecb iff E^-1 E A vecx = E^-1 E vecb iff A vecx = vecb.
              $$



              In short, multiplication by elementary (or invertible) matrices preserves the solution set of the matrix equation. This is the more abstract / theoretical viewpoint of why Gaussian elimination works.






              share|cite|improve this answer



























                up vote
                0
                down vote













                Since you said "in theory"... :)



                For a more abstract viewpoint (which may be helpful once you get further in your linear algebra studies), note that a system of linear equations



                $$
                a_11 x_1 + a_12 x_2 + cdots + a_1m x_m = b_1 \
                a_21 x_1 + a_22 x_2 + cdots + a_2m x_m = b_2 \
                vdots \
                a_n1 x_1 + a_n2 x_2 + cdots + a_nm x_m = b_n
                $$



                can be rewritten as a matrix equation



                $$
                A vecx = vecb,
                $$
                and that each elementary row operation is equivalent to multiplication on both sides of this equation by an elementary matrix, i.e. changing $A vecx = vecb$ to the modified system
                $$
                E A vecx = E vecb.
                $$



                From this point it is easy to see that if $vecx$ is a solution set to the original system, then it is also a solution to the modified system.



                Now you may be asking why we care about solutions to the modified system --- we were trying to solve $A vecx = vecb$, not $E A vecx = E vecb$. Well, it is a basic exercise in linear algebra to show that each type of elementary matrix is invertible (in fact they generate all invertible matrices!), so that if $vecx$ solves the modified system, we can "undo" the elementary matrices and see that $vecx$ solves the original system as well:



                $$
                E A vecx = Evecb iff E^-1 E A vecx = E^-1 E vecb iff A vecx = vecb.
                $$



                In short, multiplication by elementary (or invertible) matrices preserves the solution set of the matrix equation. This is the more abstract / theoretical viewpoint of why Gaussian elimination works.






                share|cite|improve this answer

























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote









                  Since you said "in theory"... :)



                  For a more abstract viewpoint (which may be helpful once you get further in your linear algebra studies), note that a system of linear equations



                  $$
                  a_11 x_1 + a_12 x_2 + cdots + a_1m x_m = b_1 \
                  a_21 x_1 + a_22 x_2 + cdots + a_2m x_m = b_2 \
                  vdots \
                  a_n1 x_1 + a_n2 x_2 + cdots + a_nm x_m = b_n
                  $$



                  can be rewritten as a matrix equation



                  $$
                  A vecx = vecb,
                  $$
                  and that each elementary row operation is equivalent to multiplication on both sides of this equation by an elementary matrix, i.e. changing $A vecx = vecb$ to the modified system
                  $$
                  E A vecx = E vecb.
                  $$



                  From this point it is easy to see that if $vecx$ is a solution set to the original system, then it is also a solution to the modified system.



                  Now you may be asking why we care about solutions to the modified system --- we were trying to solve $A vecx = vecb$, not $E A vecx = E vecb$. Well, it is a basic exercise in linear algebra to show that each type of elementary matrix is invertible (in fact they generate all invertible matrices!), so that if $vecx$ solves the modified system, we can "undo" the elementary matrices and see that $vecx$ solves the original system as well:



                  $$
                  E A vecx = Evecb iff E^-1 E A vecx = E^-1 E vecb iff A vecx = vecb.
                  $$



                  In short, multiplication by elementary (or invertible) matrices preserves the solution set of the matrix equation. This is the more abstract / theoretical viewpoint of why Gaussian elimination works.






                  share|cite|improve this answer















                  Since you said "in theory"... :)



                  For a more abstract viewpoint (which may be helpful once you get further in your linear algebra studies), note that a system of linear equations



                  $$
                  a_11 x_1 + a_12 x_2 + cdots + a_1m x_m = b_1 \
                  a_21 x_1 + a_22 x_2 + cdots + a_2m x_m = b_2 \
                  vdots \
                  a_n1 x_1 + a_n2 x_2 + cdots + a_nm x_m = b_n
                  $$



                  can be rewritten as a matrix equation



                  $$
                  A vecx = vecb,
                  $$
                  and that each elementary row operation is equivalent to multiplication on both sides of this equation by an elementary matrix, i.e. changing $A vecx = vecb$ to the modified system
                  $$
                  E A vecx = E vecb.
                  $$



                  From this point it is easy to see that if $vecx$ is a solution set to the original system, then it is also a solution to the modified system.



                  Now you may be asking why we care about solutions to the modified system --- we were trying to solve $A vecx = vecb$, not $E A vecx = E vecb$. Well, it is a basic exercise in linear algebra to show that each type of elementary matrix is invertible (in fact they generate all invertible matrices!), so that if $vecx$ solves the modified system, we can "undo" the elementary matrices and see that $vecx$ solves the original system as well:



                  $$
                  E A vecx = Evecb iff E^-1 E A vecx = E^-1 E vecb iff A vecx = vecb.
                  $$



                  In short, multiplication by elementary (or invertible) matrices preserves the solution set of the matrix equation. This is the more abstract / theoretical viewpoint of why Gaussian elimination works.







                  share|cite|improve this answer















                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited Jul 16 at 0:12


























                  answered Jul 16 at 0:04









                  Adam Williams

                  35115




                  35115






















                       

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