Linear algebra
Hia! ^.^ Lets see here.
Here's my working
First one looks good! :)
You got good hand writting! ^.^
^ nice
Wait ill attach pics! :)
@Qwertty123 lol thanks :D.
lol You welcome! :)
@zzr0ck3r Come and help! ^.^
what is the question?
Do you just want to know if you found the inverse?
In the first part of the question, is it legal to perform column operations instead of row?
Yes it is! But stick to one!
Either column or row!
Part B is easy, matrix A will have a row which is a multiple of another so the determinant should be zero
Okay thanks @mecharv
lol why was I tagged?
One of my friends sent me his solution and I couldn't convince him why was he wrong
Just tell him his handwriting is bad! ;) Wait, Ill see
Honestly, I cant understand anything! :O
Hahaha sure I will do that, x1a1+x2b1+x3xc1=0 x1a2+x2b2+x3c2 x1a3+x2b3+x3c3 x1(a1 a2 a3)+x2(b1b2 b3)+x3(c1c2c3)=(0) He equated x1=2 x2=1 and x3=-4 to the given
Are you there? @Abmon98
Yes
Did you see if those values satisfy?
I am in doubt because the question is 'How' many solutions....
I am not sure too, I tried x1=1 x=2 and x3=1
I also tried the x-values of my friend but this will imply all of matrix A entries to be zero.
The first line defines the matrix, and the second line shows clearly that the third column (c) is a linear combination of the first two (a, b). So without doing any calculations, and using the properties of a matrix where one column is a linear combination of the other two, you should be able to tell (1) the number of slack variables in the solution, and hence the number of solutions. (2) if the matrix is invertible. If you are not sure, read, for example: http://mathworld.wolfram.com/InvertibleMatrixTheorem.html and note item 4.
To me, for a) the answer is infinitely many solution. From row 1, we have \(b_1= 4c_1-2a_1\) Hence, with infinitely many \(a_1, c_1\) satisfy this equation. Each pair of them define \(b_1\), Hence there are many matrices A formed by that reason. That gives us so many solution for Ax =0
for b) A is invertible if \(det A\neq 0\). That is we need to find det (A) and consider the condition of the entries make it =0. I might be wrong when overestimating the problem, but that is what I thought.
If the are infinite number of possibilities for a and c a1(b2c3-b3c2)-b1(a2c3-a3c2+c1(a2b3-a3c2) a1((4c2-2a2)c3-((4c3-2a3)c2)-(4c1-2a1)(a2c3-a3c2)+c1(a2((4c3-2a3)-a3c2)= a1(4c2c3-2a2c3-4c2c3+2a3c2)-(4a2c1c3-4a3c1c2-2a1a2c3+2a1a3c2)+c1(4a2c3-2a22a3-a3c2)=0
det(A)=0
@IrishBoy123 Can you please help?
agree with loser they're the same equations re-packaged so infinitely many the mark scheme worries me though. for 20 marks you ought to have to do some work!! experts on this include @Empty and @ikram002p and @ganeshie8 and a cast of many others.
if \[2\left(\begin{array}{c} a_1 \\a_2 \\a_3 \\\end{array}\right)+\left(\begin{array}{c} b_1 \\b_2 \\b_3 \\\end{array}\right)-4\left(\begin{array}{c} c_1 \\c_2 \\c_3 \\\end{array}\right)=\left(\begin{array}{c} 0 \\0 \\0 \\\end{array}\right)\] then for any number \(t\) we have \[2t\left(\begin{array}{c} a_1 \\a_2 \\a_3 \\\end{array}\right)+t\left(\begin{array}{c} b_1 \\b_2 \\b_3 \\\end{array}\right)-4t\left(\begin{array}{c} c_1 \\c_2 \\c_3 \\\end{array}\right)\] \[=t\left[2\left(\begin{array}{c} a_1 \\a_2 \\a_3 \\\end{array}\right)+\left(\begin{array}{c} b_1 \\b_2 \\b_3 \\\end{array}\right)-4\left(\begin{array}{c} c_1 \\c_2 \\c_3 \\\end{array}\right)\right]=\left(\begin{array}{c} 0 \\0 \\0 \\\end{array}\right)\]
@Zale101
I did not fully get what looser is trying to emphasize yes I did notice that b1=4c1-2a1 but how does this help me answering the question.
Familiar with the properties of homogeneous linear equations: https://math.dartmouth.edu/archive/m8s00/public_html/handouts/matrices2/node8.html and linear dependence: https://en.wikipedia.org/wiki/Linear_independence would help you answer the questions.
Now that I know homogeneous equations, one column is a linear combination of the other two and that its either a unique or an infinite solution. How can I figure whether its infinite or unique?
"Every homogeneous system has at least one solution, known as the zero solution (or trivial solution), which is obtained by assigning the value of zero to each of the variables. If the system has a non-singular matrix (det(A) ≠ 0) then it is also the only solution. If the system has a singular matrix then there is a solution set with an infinite number of solutions. " from Wiki, URL follows: https://en.wikipedia.org/wiki/System_of_linear_equations Also, read what @Zarcon wrote: for any number t: \(t\left[2\left(\begin{array}{c} a_1 \\a_2 \\a_3 \\\end{array}\right)+\left(\begin{array}{c} b_1 \\b_2 \\b_3 \\\end{array}\right)-4\left(\begin{array}{c} c_1 \\c_2 \\c_3 \\\end{array}\right)\right]=\left(\begin{array}{c} 0 \\0 \\0 \\\end{array}\right)\) Since the right hand side is zero, we can multiply the left hand side by any number t, and the right-hand side remains zero. This implies that if the system has a non-trivial solution (i.e. not a zero vector), there is an infinite number of solutions. However, if the matrix is not invertible, then the only solution is the trivial solution. So you can summarize the above and decide which case the given question falls into.
Rephrasing what everyone said. Take\[\begin{pmatrix}x_1\\x_2\\x_3\end{pmatrix}=\begin{pmatrix}2\\1\\-4\end{pmatrix}\]It is trivial to verify that \[\mathbf{x}=t\begin{pmatrix}2\\1\\-4\end{pmatrix}\] is also a solution to \(A\mathbf{x}=\mathbf{0}\) for any t.
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