Solution to systems of linear equations formed by linear combinations of another system of linear equations.

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I have recently began reading a text on linear algebra in preparation the upcoming fall semester. This is the first time I've looked at linear algebra proper in a few years. Early on I was reading about some basic concepts regarding systems of linear equations. In particular you can take a given system of linear equations call it system A and if we form linear combinations out of these equations we can construct another system of linear equations call it system B. Clearly any solution to system A is a solution to system B.



My question is that the text stated that there may be cases where a solution to system B may not be a solution to system A, but as I have been writing out simple systems to try to generate a case where this happens I have been unable to do so. If there is a trivial case to this then it escapes me. If someone could help me understand why this is so obvious and if there are trivial cases give me an example it would greatly help.



Also please note that I understand that in the case that all the solutions of B are solutions of A then we call the systems equivalent.







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    I have recently began reading a text on linear algebra in preparation the upcoming fall semester. This is the first time I've looked at linear algebra proper in a few years. Early on I was reading about some basic concepts regarding systems of linear equations. In particular you can take a given system of linear equations call it system A and if we form linear combinations out of these equations we can construct another system of linear equations call it system B. Clearly any solution to system A is a solution to system B.



    My question is that the text stated that there may be cases where a solution to system B may not be a solution to system A, but as I have been writing out simple systems to try to generate a case where this happens I have been unable to do so. If there is a trivial case to this then it escapes me. If someone could help me understand why this is so obvious and if there are trivial cases give me an example it would greatly help.



    Also please note that I understand that in the case that all the solutions of B are solutions of A then we call the systems equivalent.







    share|cite|improve this question





















      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      I have recently began reading a text on linear algebra in preparation the upcoming fall semester. This is the first time I've looked at linear algebra proper in a few years. Early on I was reading about some basic concepts regarding systems of linear equations. In particular you can take a given system of linear equations call it system A and if we form linear combinations out of these equations we can construct another system of linear equations call it system B. Clearly any solution to system A is a solution to system B.



      My question is that the text stated that there may be cases where a solution to system B may not be a solution to system A, but as I have been writing out simple systems to try to generate a case where this happens I have been unable to do so. If there is a trivial case to this then it escapes me. If someone could help me understand why this is so obvious and if there are trivial cases give me an example it would greatly help.



      Also please note that I understand that in the case that all the solutions of B are solutions of A then we call the systems equivalent.







      share|cite|improve this question











      I have recently began reading a text on linear algebra in preparation the upcoming fall semester. This is the first time I've looked at linear algebra proper in a few years. Early on I was reading about some basic concepts regarding systems of linear equations. In particular you can take a given system of linear equations call it system A and if we form linear combinations out of these equations we can construct another system of linear equations call it system B. Clearly any solution to system A is a solution to system B.



      My question is that the text stated that there may be cases where a solution to system B may not be a solution to system A, but as I have been writing out simple systems to try to generate a case where this happens I have been unable to do so. If there is a trivial case to this then it escapes me. If someone could help me understand why this is so obvious and if there are trivial cases give me an example it would greatly help.



      Also please note that I understand that in the case that all the solutions of B are solutions of A then we call the systems equivalent.









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      asked Jul 22 at 3:09









      Christian Harris

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          Consider the equations
          $$x+y=1tag1$$
          $$x-y=1tag2$$
          which has as unique solution $x=1,y=0$. If we take the linear equation $2(1)+(2)$ (twice of first equation plus second) and $4(1)+2(2)$ we get
          $$3x+y=3$$
          $$6x+2y=6$$
          which has an infinite number of solutions beside $x=1,y=0$, one of which is $x=0,y=3$.



          Such additional solutions, at least in two variables, arise when some of the new equations are multiples of each other, so that one degree of specification is lost. Later in the course you're taking I suppose that matrices will be introduced, and it can be shown that such generation of additional solutions arises when the determinant of the matrix of linear combinations – $beginbmatrix2&1\4&2endbmatrix$ here – is zero.






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            1 Answer
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            1 Answer
            1






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            oldest

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            active

            oldest

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            up vote
            1
            down vote



            accepted










            Consider the equations
            $$x+y=1tag1$$
            $$x-y=1tag2$$
            which has as unique solution $x=1,y=0$. If we take the linear equation $2(1)+(2)$ (twice of first equation plus second) and $4(1)+2(2)$ we get
            $$3x+y=3$$
            $$6x+2y=6$$
            which has an infinite number of solutions beside $x=1,y=0$, one of which is $x=0,y=3$.



            Such additional solutions, at least in two variables, arise when some of the new equations are multiples of each other, so that one degree of specification is lost. Later in the course you're taking I suppose that matrices will be introduced, and it can be shown that such generation of additional solutions arises when the determinant of the matrix of linear combinations – $beginbmatrix2&1\4&2endbmatrix$ here – is zero.






            share|cite|improve this answer

























              up vote
              1
              down vote



              accepted










              Consider the equations
              $$x+y=1tag1$$
              $$x-y=1tag2$$
              which has as unique solution $x=1,y=0$. If we take the linear equation $2(1)+(2)$ (twice of first equation plus second) and $4(1)+2(2)$ we get
              $$3x+y=3$$
              $$6x+2y=6$$
              which has an infinite number of solutions beside $x=1,y=0$, one of which is $x=0,y=3$.



              Such additional solutions, at least in two variables, arise when some of the new equations are multiples of each other, so that one degree of specification is lost. Later in the course you're taking I suppose that matrices will be introduced, and it can be shown that such generation of additional solutions arises when the determinant of the matrix of linear combinations – $beginbmatrix2&1\4&2endbmatrix$ here – is zero.






              share|cite|improve this answer























                up vote
                1
                down vote



                accepted







                up vote
                1
                down vote



                accepted






                Consider the equations
                $$x+y=1tag1$$
                $$x-y=1tag2$$
                which has as unique solution $x=1,y=0$. If we take the linear equation $2(1)+(2)$ (twice of first equation plus second) and $4(1)+2(2)$ we get
                $$3x+y=3$$
                $$6x+2y=6$$
                which has an infinite number of solutions beside $x=1,y=0$, one of which is $x=0,y=3$.



                Such additional solutions, at least in two variables, arise when some of the new equations are multiples of each other, so that one degree of specification is lost. Later in the course you're taking I suppose that matrices will be introduced, and it can be shown that such generation of additional solutions arises when the determinant of the matrix of linear combinations – $beginbmatrix2&1\4&2endbmatrix$ here – is zero.






                share|cite|improve this answer













                Consider the equations
                $$x+y=1tag1$$
                $$x-y=1tag2$$
                which has as unique solution $x=1,y=0$. If we take the linear equation $2(1)+(2)$ (twice of first equation plus second) and $4(1)+2(2)$ we get
                $$3x+y=3$$
                $$6x+2y=6$$
                which has an infinite number of solutions beside $x=1,y=0$, one of which is $x=0,y=3$.



                Such additional solutions, at least in two variables, arise when some of the new equations are multiples of each other, so that one degree of specification is lost. Later in the course you're taking I suppose that matrices will be introduced, and it can be shown that such generation of additional solutions arises when the determinant of the matrix of linear combinations – $beginbmatrix2&1\4&2endbmatrix$ here – is zero.







                share|cite|improve this answer













                share|cite|improve this answer



                share|cite|improve this answer











                answered Jul 22 at 3:26









                Parcly Taxel

                33.6k136588




                33.6k136588






















                     

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