Learning Linear Algebra for AI, Cannot solve system in R3.
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I am just creating random sets of vectors to try and practice solving systems of equations. I thought I had been doing well, but I came up with a set of vectors that keep stumping me. In fact, I've been trying to figure out where I went wrong for almost two hours, yet I still have no clue.
I tried the following:
$$x_1begin{bmatrix}
-1 \
-2 \
-3
end{bmatrix}+x_2begin{bmatrix}
1 \
3 \
5
end{bmatrix}+x_3begin{bmatrix}
4 \
2 \
0
end{bmatrix}
=
begin{bmatrix}
a \
b \
c
end{bmatrix}$$
Every time I try to solve this I end up stuck at a similar place.
Here is one example of what I have tried:
$$begin{eqnarray}
-x_1&+x_2&+4x_3&=a\
-2x_1&+3x_2&+2x_3&=b\
-3x_1&+5x_2&&=c
end{eqnarray}$$
Then for example, I try to eliminate the $x_3$ constant from equations 1 and 2.
$$begin{eqnarray}
-x_1&+x_2&+4x_3&=a\
4x_1&-6x_2&-4x_3&=-2b\
3x_1&-5x_2&&=a-2b
end{eqnarray}$$
Then, I try to eliminate the $x_2$ constant from the new equation and the original equation 3.
$$begin{eqnarray}
3x_1&-5x_2&=a-2b\
-3x_1&+5x_2&=c\
end{eqnarray}$$
but I end up with:
$$0+0=a-2b+c$$
I have tried eliminating different factors, but I cannot figure out what I'm doing wrong.
linear-algebra systems-of-equations
$endgroup$
add a comment |
$begingroup$
I am just creating random sets of vectors to try and practice solving systems of equations. I thought I had been doing well, but I came up with a set of vectors that keep stumping me. In fact, I've been trying to figure out where I went wrong for almost two hours, yet I still have no clue.
I tried the following:
$$x_1begin{bmatrix}
-1 \
-2 \
-3
end{bmatrix}+x_2begin{bmatrix}
1 \
3 \
5
end{bmatrix}+x_3begin{bmatrix}
4 \
2 \
0
end{bmatrix}
=
begin{bmatrix}
a \
b \
c
end{bmatrix}$$
Every time I try to solve this I end up stuck at a similar place.
Here is one example of what I have tried:
$$begin{eqnarray}
-x_1&+x_2&+4x_3&=a\
-2x_1&+3x_2&+2x_3&=b\
-3x_1&+5x_2&&=c
end{eqnarray}$$
Then for example, I try to eliminate the $x_3$ constant from equations 1 and 2.
$$begin{eqnarray}
-x_1&+x_2&+4x_3&=a\
4x_1&-6x_2&-4x_3&=-2b\
3x_1&-5x_2&&=a-2b
end{eqnarray}$$
Then, I try to eliminate the $x_2$ constant from the new equation and the original equation 3.
$$begin{eqnarray}
3x_1&-5x_2&=a-2b\
-3x_1&+5x_2&=c\
end{eqnarray}$$
but I end up with:
$$0+0=a-2b+c$$
I have tried eliminating different factors, but I cannot figure out what I'm doing wrong.
linear-algebra systems-of-equations
$endgroup$
4
$begingroup$
Calculate the determinant of the matrix, to know if it is invertible.
$endgroup$
– Emil
Nov 20 '18 at 7:10
3
$begingroup$
The end of the question seems to be missing.
$endgroup$
– Tobias Kildetoft
Nov 20 '18 at 7:17
$begingroup$
It is impossible to figure out where you went wrong if you don't show us you calculation.
$endgroup$
– miracle173
Nov 20 '18 at 7:21
$begingroup$
@miracle173 Sorry. I have never used MathJax/LaTex before, I was working on it.
$endgroup$
– smkarber
Nov 20 '18 at 7:21
add a comment |
$begingroup$
I am just creating random sets of vectors to try and practice solving systems of equations. I thought I had been doing well, but I came up with a set of vectors that keep stumping me. In fact, I've been trying to figure out where I went wrong for almost two hours, yet I still have no clue.
I tried the following:
$$x_1begin{bmatrix}
-1 \
-2 \
-3
end{bmatrix}+x_2begin{bmatrix}
1 \
3 \
5
end{bmatrix}+x_3begin{bmatrix}
4 \
2 \
0
end{bmatrix}
=
begin{bmatrix}
a \
b \
c
end{bmatrix}$$
Every time I try to solve this I end up stuck at a similar place.
Here is one example of what I have tried:
$$begin{eqnarray}
-x_1&+x_2&+4x_3&=a\
-2x_1&+3x_2&+2x_3&=b\
-3x_1&+5x_2&&=c
end{eqnarray}$$
Then for example, I try to eliminate the $x_3$ constant from equations 1 and 2.
$$begin{eqnarray}
-x_1&+x_2&+4x_3&=a\
4x_1&-6x_2&-4x_3&=-2b\
3x_1&-5x_2&&=a-2b
end{eqnarray}$$
Then, I try to eliminate the $x_2$ constant from the new equation and the original equation 3.
$$begin{eqnarray}
3x_1&-5x_2&=a-2b\
-3x_1&+5x_2&=c\
end{eqnarray}$$
but I end up with:
$$0+0=a-2b+c$$
I have tried eliminating different factors, but I cannot figure out what I'm doing wrong.
linear-algebra systems-of-equations
$endgroup$
I am just creating random sets of vectors to try and practice solving systems of equations. I thought I had been doing well, but I came up with a set of vectors that keep stumping me. In fact, I've been trying to figure out where I went wrong for almost two hours, yet I still have no clue.
I tried the following:
$$x_1begin{bmatrix}
-1 \
-2 \
-3
end{bmatrix}+x_2begin{bmatrix}
1 \
3 \
5
end{bmatrix}+x_3begin{bmatrix}
4 \
2 \
0
end{bmatrix}
=
begin{bmatrix}
a \
b \
c
end{bmatrix}$$
Every time I try to solve this I end up stuck at a similar place.
Here is one example of what I have tried:
$$begin{eqnarray}
-x_1&+x_2&+4x_3&=a\
-2x_1&+3x_2&+2x_3&=b\
-3x_1&+5x_2&&=c
end{eqnarray}$$
Then for example, I try to eliminate the $x_3$ constant from equations 1 and 2.
$$begin{eqnarray}
-x_1&+x_2&+4x_3&=a\
4x_1&-6x_2&-4x_3&=-2b\
3x_1&-5x_2&&=a-2b
end{eqnarray}$$
Then, I try to eliminate the $x_2$ constant from the new equation and the original equation 3.
$$begin{eqnarray}
3x_1&-5x_2&=a-2b\
-3x_1&+5x_2&=c\
end{eqnarray}$$
but I end up with:
$$0+0=a-2b+c$$
I have tried eliminating different factors, but I cannot figure out what I'm doing wrong.
linear-algebra systems-of-equations
linear-algebra systems-of-equations
edited Nov 20 '18 at 7:40
miracle173
7,33322247
7,33322247
asked Nov 20 '18 at 6:58
smkarbersmkarber
133
133
4
$begingroup$
Calculate the determinant of the matrix, to know if it is invertible.
$endgroup$
– Emil
Nov 20 '18 at 7:10
3
$begingroup$
The end of the question seems to be missing.
$endgroup$
– Tobias Kildetoft
Nov 20 '18 at 7:17
$begingroup$
It is impossible to figure out where you went wrong if you don't show us you calculation.
$endgroup$
– miracle173
Nov 20 '18 at 7:21
$begingroup$
@miracle173 Sorry. I have never used MathJax/LaTex before, I was working on it.
$endgroup$
– smkarber
Nov 20 '18 at 7:21
add a comment |
4
$begingroup$
Calculate the determinant of the matrix, to know if it is invertible.
$endgroup$
– Emil
Nov 20 '18 at 7:10
3
$begingroup$
The end of the question seems to be missing.
$endgroup$
– Tobias Kildetoft
Nov 20 '18 at 7:17
$begingroup$
It is impossible to figure out where you went wrong if you don't show us you calculation.
$endgroup$
– miracle173
Nov 20 '18 at 7:21
$begingroup$
@miracle173 Sorry. I have never used MathJax/LaTex before, I was working on it.
$endgroup$
– smkarber
Nov 20 '18 at 7:21
4
4
$begingroup$
Calculate the determinant of the matrix, to know if it is invertible.
$endgroup$
– Emil
Nov 20 '18 at 7:10
$begingroup$
Calculate the determinant of the matrix, to know if it is invertible.
$endgroup$
– Emil
Nov 20 '18 at 7:10
3
3
$begingroup$
The end of the question seems to be missing.
$endgroup$
– Tobias Kildetoft
Nov 20 '18 at 7:17
$begingroup$
The end of the question seems to be missing.
$endgroup$
– Tobias Kildetoft
Nov 20 '18 at 7:17
$begingroup$
It is impossible to figure out where you went wrong if you don't show us you calculation.
$endgroup$
– miracle173
Nov 20 '18 at 7:21
$begingroup$
It is impossible to figure out where you went wrong if you don't show us you calculation.
$endgroup$
– miracle173
Nov 20 '18 at 7:21
$begingroup$
@miracle173 Sorry. I have never used MathJax/LaTex before, I was working on it.
$endgroup$
– smkarber
Nov 20 '18 at 7:21
$begingroup$
@miracle173 Sorry. I have never used MathJax/LaTex before, I was working on it.
$endgroup$
– smkarber
Nov 20 '18 at 7:21
add a comment |
4 Answers
4
active
oldest
votes
$begingroup$
Guide:
Not every system has a unique solution. For your system to have a solution, we need $a-2b+c=0$.
If we have $a-2b+c=0$, now we can let $x_1=t$, from $-3x_1+5x_2=c$, we can solve for $x_2$. Now, having $x_1$ and $x_2$, we can use the equation to solve for $x_3$. It always have infinitely many solutions if $a-2b+c=0$.
$endgroup$
add a comment |
$begingroup$
The vectors
$$
begin{bmatrix}
-1 \
-2 \
-3
end{bmatrix},
begin{bmatrix}
1 \
3 \
5
end{bmatrix},
text{ and } begin{bmatrix}
4 \
2 \
0
end{bmatrix}
$$
are linearly dependent. Thus, your linear system either has no solutions or infinitely many solutions. So you won't be able to determine the numbers $x_1, x_2$, and $x_3$ uniquely.
And it won't be surprising if you discover that there is some condition such as $a - 2b + c = 0$ which must be satisfied in order for a solution to exist. For a solution to exist, the vector $(a,b,c)$ must belong to the span of your three vectors, and the span of the three given vectors is only a 2-dimensional subspace of $mathbb R^3$.
$endgroup$
$begingroup$
I didn't see that there was a scalar multiple or linear combination in this set of vectors. Could you point it out, please?
$endgroup$
– smkarber
Nov 20 '18 at 7:51
$begingroup$
In the linear system that you wrote, you are writing $(a,b,c)$ as a linear combination of the three given vectors: $x_1begin{bmatrix} -1 \ -2 \ -3 end{bmatrix}+x_2begin{bmatrix} 1 \ 3 \ 5 end{bmatrix}+x_3begin{bmatrix} 4 \ 2 \ 0 end{bmatrix} = begin{bmatrix} a \ b \ c end{bmatrix}$. That is a nice way to visualize a linear system of equations.
$endgroup$
– littleO
Nov 20 '18 at 8:11
add a comment |
$begingroup$
When you are trying to solve a linear system with the determinant of coefficient equal zero then you either have no solution or you have infinitely many solutions.
In your case the determinant of $$ det begin {bmatrix} -1&1&4\-2&3&2\-3&5&0end {bmatrix}=0$$
Thus depending on values of $a,b,c$ you either get infinitely many solutions or no solutions.
$endgroup$
add a comment |
$begingroup$
When trying to solve a system of equations, one of the the following possibilities can arise:
1- The system is "inconsistent". This means that it has not solution.
2- There is a unique solution. (Only 1)
3- There are infinitely many solutions.
As pointed out by Siong, you need to have a-2b+c = 0 in order to have any kind of solution.
The reason is that if a-2b+c is not equal to zero, then the last row of your matrix basically says that 0*x_1 + 0*x_2 + 0*x_3 equals something that is non-zero. This is not possible.
So you have to assume that a-2b+c is zero.
This then means that the system will have a solution. We need to dig deeper to determine if it has a unique solution, or infinitely many solutions.
It turns out in this situation a "free variable" can be set up, leading to infinitely many solutions.
To fully understand solving these equations, you would want to get familiar with the concepts of:
- Reduced Row Echelon Form
- Pivot Columns
- Basic Variables
- Free Variables
As a bit of self-promotion, I've written an app (for Android) that explains how to solve common Linear Algebra problems in easy-to-understand language. If you're interested, please look up "Linear Algebra Patterns" on Google Play Store.
Cheers,
Richard
$endgroup$
add a comment |
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4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Guide:
Not every system has a unique solution. For your system to have a solution, we need $a-2b+c=0$.
If we have $a-2b+c=0$, now we can let $x_1=t$, from $-3x_1+5x_2=c$, we can solve for $x_2$. Now, having $x_1$ and $x_2$, we can use the equation to solve for $x_3$. It always have infinitely many solutions if $a-2b+c=0$.
$endgroup$
add a comment |
$begingroup$
Guide:
Not every system has a unique solution. For your system to have a solution, we need $a-2b+c=0$.
If we have $a-2b+c=0$, now we can let $x_1=t$, from $-3x_1+5x_2=c$, we can solve for $x_2$. Now, having $x_1$ and $x_2$, we can use the equation to solve for $x_3$. It always have infinitely many solutions if $a-2b+c=0$.
$endgroup$
add a comment |
$begingroup$
Guide:
Not every system has a unique solution. For your system to have a solution, we need $a-2b+c=0$.
If we have $a-2b+c=0$, now we can let $x_1=t$, from $-3x_1+5x_2=c$, we can solve for $x_2$. Now, having $x_1$ and $x_2$, we can use the equation to solve for $x_3$. It always have infinitely many solutions if $a-2b+c=0$.
$endgroup$
Guide:
Not every system has a unique solution. For your system to have a solution, we need $a-2b+c=0$.
If we have $a-2b+c=0$, now we can let $x_1=t$, from $-3x_1+5x_2=c$, we can solve for $x_2$. Now, having $x_1$ and $x_2$, we can use the equation to solve for $x_3$. It always have infinitely many solutions if $a-2b+c=0$.
answered Nov 20 '18 at 7:41
Siong Thye GohSiong Thye Goh
100k1466117
100k1466117
add a comment |
add a comment |
$begingroup$
The vectors
$$
begin{bmatrix}
-1 \
-2 \
-3
end{bmatrix},
begin{bmatrix}
1 \
3 \
5
end{bmatrix},
text{ and } begin{bmatrix}
4 \
2 \
0
end{bmatrix}
$$
are linearly dependent. Thus, your linear system either has no solutions or infinitely many solutions. So you won't be able to determine the numbers $x_1, x_2$, and $x_3$ uniquely.
And it won't be surprising if you discover that there is some condition such as $a - 2b + c = 0$ which must be satisfied in order for a solution to exist. For a solution to exist, the vector $(a,b,c)$ must belong to the span of your three vectors, and the span of the three given vectors is only a 2-dimensional subspace of $mathbb R^3$.
$endgroup$
$begingroup$
I didn't see that there was a scalar multiple or linear combination in this set of vectors. Could you point it out, please?
$endgroup$
– smkarber
Nov 20 '18 at 7:51
$begingroup$
In the linear system that you wrote, you are writing $(a,b,c)$ as a linear combination of the three given vectors: $x_1begin{bmatrix} -1 \ -2 \ -3 end{bmatrix}+x_2begin{bmatrix} 1 \ 3 \ 5 end{bmatrix}+x_3begin{bmatrix} 4 \ 2 \ 0 end{bmatrix} = begin{bmatrix} a \ b \ c end{bmatrix}$. That is a nice way to visualize a linear system of equations.
$endgroup$
– littleO
Nov 20 '18 at 8:11
add a comment |
$begingroup$
The vectors
$$
begin{bmatrix}
-1 \
-2 \
-3
end{bmatrix},
begin{bmatrix}
1 \
3 \
5
end{bmatrix},
text{ and } begin{bmatrix}
4 \
2 \
0
end{bmatrix}
$$
are linearly dependent. Thus, your linear system either has no solutions or infinitely many solutions. So you won't be able to determine the numbers $x_1, x_2$, and $x_3$ uniquely.
And it won't be surprising if you discover that there is some condition such as $a - 2b + c = 0$ which must be satisfied in order for a solution to exist. For a solution to exist, the vector $(a,b,c)$ must belong to the span of your three vectors, and the span of the three given vectors is only a 2-dimensional subspace of $mathbb R^3$.
$endgroup$
$begingroup$
I didn't see that there was a scalar multiple or linear combination in this set of vectors. Could you point it out, please?
$endgroup$
– smkarber
Nov 20 '18 at 7:51
$begingroup$
In the linear system that you wrote, you are writing $(a,b,c)$ as a linear combination of the three given vectors: $x_1begin{bmatrix} -1 \ -2 \ -3 end{bmatrix}+x_2begin{bmatrix} 1 \ 3 \ 5 end{bmatrix}+x_3begin{bmatrix} 4 \ 2 \ 0 end{bmatrix} = begin{bmatrix} a \ b \ c end{bmatrix}$. That is a nice way to visualize a linear system of equations.
$endgroup$
– littleO
Nov 20 '18 at 8:11
add a comment |
$begingroup$
The vectors
$$
begin{bmatrix}
-1 \
-2 \
-3
end{bmatrix},
begin{bmatrix}
1 \
3 \
5
end{bmatrix},
text{ and } begin{bmatrix}
4 \
2 \
0
end{bmatrix}
$$
are linearly dependent. Thus, your linear system either has no solutions or infinitely many solutions. So you won't be able to determine the numbers $x_1, x_2$, and $x_3$ uniquely.
And it won't be surprising if you discover that there is some condition such as $a - 2b + c = 0$ which must be satisfied in order for a solution to exist. For a solution to exist, the vector $(a,b,c)$ must belong to the span of your three vectors, and the span of the three given vectors is only a 2-dimensional subspace of $mathbb R^3$.
$endgroup$
The vectors
$$
begin{bmatrix}
-1 \
-2 \
-3
end{bmatrix},
begin{bmatrix}
1 \
3 \
5
end{bmatrix},
text{ and } begin{bmatrix}
4 \
2 \
0
end{bmatrix}
$$
are linearly dependent. Thus, your linear system either has no solutions or infinitely many solutions. So you won't be able to determine the numbers $x_1, x_2$, and $x_3$ uniquely.
And it won't be surprising if you discover that there is some condition such as $a - 2b + c = 0$ which must be satisfied in order for a solution to exist. For a solution to exist, the vector $(a,b,c)$ must belong to the span of your three vectors, and the span of the three given vectors is only a 2-dimensional subspace of $mathbb R^3$.
answered Nov 20 '18 at 7:43
littleOlittleO
29.6k646109
29.6k646109
$begingroup$
I didn't see that there was a scalar multiple or linear combination in this set of vectors. Could you point it out, please?
$endgroup$
– smkarber
Nov 20 '18 at 7:51
$begingroup$
In the linear system that you wrote, you are writing $(a,b,c)$ as a linear combination of the three given vectors: $x_1begin{bmatrix} -1 \ -2 \ -3 end{bmatrix}+x_2begin{bmatrix} 1 \ 3 \ 5 end{bmatrix}+x_3begin{bmatrix} 4 \ 2 \ 0 end{bmatrix} = begin{bmatrix} a \ b \ c end{bmatrix}$. That is a nice way to visualize a linear system of equations.
$endgroup$
– littleO
Nov 20 '18 at 8:11
add a comment |
$begingroup$
I didn't see that there was a scalar multiple or linear combination in this set of vectors. Could you point it out, please?
$endgroup$
– smkarber
Nov 20 '18 at 7:51
$begingroup$
In the linear system that you wrote, you are writing $(a,b,c)$ as a linear combination of the three given vectors: $x_1begin{bmatrix} -1 \ -2 \ -3 end{bmatrix}+x_2begin{bmatrix} 1 \ 3 \ 5 end{bmatrix}+x_3begin{bmatrix} 4 \ 2 \ 0 end{bmatrix} = begin{bmatrix} a \ b \ c end{bmatrix}$. That is a nice way to visualize a linear system of equations.
$endgroup$
– littleO
Nov 20 '18 at 8:11
$begingroup$
I didn't see that there was a scalar multiple or linear combination in this set of vectors. Could you point it out, please?
$endgroup$
– smkarber
Nov 20 '18 at 7:51
$begingroup$
I didn't see that there was a scalar multiple or linear combination in this set of vectors. Could you point it out, please?
$endgroup$
– smkarber
Nov 20 '18 at 7:51
$begingroup$
In the linear system that you wrote, you are writing $(a,b,c)$ as a linear combination of the three given vectors: $x_1begin{bmatrix} -1 \ -2 \ -3 end{bmatrix}+x_2begin{bmatrix} 1 \ 3 \ 5 end{bmatrix}+x_3begin{bmatrix} 4 \ 2 \ 0 end{bmatrix} = begin{bmatrix} a \ b \ c end{bmatrix}$. That is a nice way to visualize a linear system of equations.
$endgroup$
– littleO
Nov 20 '18 at 8:11
$begingroup$
In the linear system that you wrote, you are writing $(a,b,c)$ as a linear combination of the three given vectors: $x_1begin{bmatrix} -1 \ -2 \ -3 end{bmatrix}+x_2begin{bmatrix} 1 \ 3 \ 5 end{bmatrix}+x_3begin{bmatrix} 4 \ 2 \ 0 end{bmatrix} = begin{bmatrix} a \ b \ c end{bmatrix}$. That is a nice way to visualize a linear system of equations.
$endgroup$
– littleO
Nov 20 '18 at 8:11
add a comment |
$begingroup$
When you are trying to solve a linear system with the determinant of coefficient equal zero then you either have no solution or you have infinitely many solutions.
In your case the determinant of $$ det begin {bmatrix} -1&1&4\-2&3&2\-3&5&0end {bmatrix}=0$$
Thus depending on values of $a,b,c$ you either get infinitely many solutions or no solutions.
$endgroup$
add a comment |
$begingroup$
When you are trying to solve a linear system with the determinant of coefficient equal zero then you either have no solution or you have infinitely many solutions.
In your case the determinant of $$ det begin {bmatrix} -1&1&4\-2&3&2\-3&5&0end {bmatrix}=0$$
Thus depending on values of $a,b,c$ you either get infinitely many solutions or no solutions.
$endgroup$
add a comment |
$begingroup$
When you are trying to solve a linear system with the determinant of coefficient equal zero then you either have no solution or you have infinitely many solutions.
In your case the determinant of $$ det begin {bmatrix} -1&1&4\-2&3&2\-3&5&0end {bmatrix}=0$$
Thus depending on values of $a,b,c$ you either get infinitely many solutions or no solutions.
$endgroup$
When you are trying to solve a linear system with the determinant of coefficient equal zero then you either have no solution or you have infinitely many solutions.
In your case the determinant of $$ det begin {bmatrix} -1&1&4\-2&3&2\-3&5&0end {bmatrix}=0$$
Thus depending on values of $a,b,c$ you either get infinitely many solutions or no solutions.
answered Nov 20 '18 at 7:43
Mohammad Riazi-KermaniMohammad Riazi-Kermani
41.5k42061
41.5k42061
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When trying to solve a system of equations, one of the the following possibilities can arise:
1- The system is "inconsistent". This means that it has not solution.
2- There is a unique solution. (Only 1)
3- There are infinitely many solutions.
As pointed out by Siong, you need to have a-2b+c = 0 in order to have any kind of solution.
The reason is that if a-2b+c is not equal to zero, then the last row of your matrix basically says that 0*x_1 + 0*x_2 + 0*x_3 equals something that is non-zero. This is not possible.
So you have to assume that a-2b+c is zero.
This then means that the system will have a solution. We need to dig deeper to determine if it has a unique solution, or infinitely many solutions.
It turns out in this situation a "free variable" can be set up, leading to infinitely many solutions.
To fully understand solving these equations, you would want to get familiar with the concepts of:
- Reduced Row Echelon Form
- Pivot Columns
- Basic Variables
- Free Variables
As a bit of self-promotion, I've written an app (for Android) that explains how to solve common Linear Algebra problems in easy-to-understand language. If you're interested, please look up "Linear Algebra Patterns" on Google Play Store.
Cheers,
Richard
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add a comment |
$begingroup$
When trying to solve a system of equations, one of the the following possibilities can arise:
1- The system is "inconsistent". This means that it has not solution.
2- There is a unique solution. (Only 1)
3- There are infinitely many solutions.
As pointed out by Siong, you need to have a-2b+c = 0 in order to have any kind of solution.
The reason is that if a-2b+c is not equal to zero, then the last row of your matrix basically says that 0*x_1 + 0*x_2 + 0*x_3 equals something that is non-zero. This is not possible.
So you have to assume that a-2b+c is zero.
This then means that the system will have a solution. We need to dig deeper to determine if it has a unique solution, or infinitely many solutions.
It turns out in this situation a "free variable" can be set up, leading to infinitely many solutions.
To fully understand solving these equations, you would want to get familiar with the concepts of:
- Reduced Row Echelon Form
- Pivot Columns
- Basic Variables
- Free Variables
As a bit of self-promotion, I've written an app (for Android) that explains how to solve common Linear Algebra problems in easy-to-understand language. If you're interested, please look up "Linear Algebra Patterns" on Google Play Store.
Cheers,
Richard
$endgroup$
add a comment |
$begingroup$
When trying to solve a system of equations, one of the the following possibilities can arise:
1- The system is "inconsistent". This means that it has not solution.
2- There is a unique solution. (Only 1)
3- There are infinitely many solutions.
As pointed out by Siong, you need to have a-2b+c = 0 in order to have any kind of solution.
The reason is that if a-2b+c is not equal to zero, then the last row of your matrix basically says that 0*x_1 + 0*x_2 + 0*x_3 equals something that is non-zero. This is not possible.
So you have to assume that a-2b+c is zero.
This then means that the system will have a solution. We need to dig deeper to determine if it has a unique solution, or infinitely many solutions.
It turns out in this situation a "free variable" can be set up, leading to infinitely many solutions.
To fully understand solving these equations, you would want to get familiar with the concepts of:
- Reduced Row Echelon Form
- Pivot Columns
- Basic Variables
- Free Variables
As a bit of self-promotion, I've written an app (for Android) that explains how to solve common Linear Algebra problems in easy-to-understand language. If you're interested, please look up "Linear Algebra Patterns" on Google Play Store.
Cheers,
Richard
$endgroup$
When trying to solve a system of equations, one of the the following possibilities can arise:
1- The system is "inconsistent". This means that it has not solution.
2- There is a unique solution. (Only 1)
3- There are infinitely many solutions.
As pointed out by Siong, you need to have a-2b+c = 0 in order to have any kind of solution.
The reason is that if a-2b+c is not equal to zero, then the last row of your matrix basically says that 0*x_1 + 0*x_2 + 0*x_3 equals something that is non-zero. This is not possible.
So you have to assume that a-2b+c is zero.
This then means that the system will have a solution. We need to dig deeper to determine if it has a unique solution, or infinitely many solutions.
It turns out in this situation a "free variable" can be set up, leading to infinitely many solutions.
To fully understand solving these equations, you would want to get familiar with the concepts of:
- Reduced Row Echelon Form
- Pivot Columns
- Basic Variables
- Free Variables
As a bit of self-promotion, I've written an app (for Android) that explains how to solve common Linear Algebra problems in easy-to-understand language. If you're interested, please look up "Linear Algebra Patterns" on Google Play Store.
Cheers,
Richard
answered Jan 2 at 12:55
RichardRichard
112
112
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Calculate the determinant of the matrix, to know if it is invertible.
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– Emil
Nov 20 '18 at 7:10
3
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The end of the question seems to be missing.
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– Tobias Kildetoft
Nov 20 '18 at 7:17
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It is impossible to figure out where you went wrong if you don't show us you calculation.
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– miracle173
Nov 20 '18 at 7:21
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@miracle173 Sorry. I have never used MathJax/LaTex before, I was working on it.
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– smkarber
Nov 20 '18 at 7:21