Can someone check if my answers are correct. True and False questions.
(a) For an invertible matrix M, if M = M^−1, then |M| = 1. False (b) Let A be any 3 × 3 real matrix such that |A| does not equal 0. Then |2A|=2|A|. False (c) If A is an n × n matrix and b ∈ R^n such that Ax = b has no solution, then Ax=c has no solution for any other nonzero vector c∈ R^n. True (d) If A is a square matrix and Ax = 0 has a unique solution, then A is invertible. False (e) The set of functions {at^4 + bt + c | a, b, c ∈ R} is a vector space. False
so for A you were able to provide a counterexample?
never mind i checked again and a) is true
for part a), you should have M = M^(-1) M*M = M^(-1)*M M^2 = I then take the determinant of both sides det(M^2) = det(I) det(M*M) = 1 det(M)*det(M) = 1 ( det(M) )^2 = 1 sqrt[ ( det(M) )^2 ] = sqrt(1) |det(M)| = 1
there may be another way to do part a)
I like the M^2=I way
But I think that is the only way I know too
(a) is false
so it is false then
let \[M=\left[\begin{array}{cc} 1 & 0 \\[0.em] 0 & -1 \\[0.em] \end{array}\right]\]
\[M=M^{-1}\] \[|M|=-1\]
the determinant of M is -1, but the absolute value bars force det(M) to be +1
so that's why I put it as |det(M)|
then again, the initial |M| could just mean determinant and not |det(M)|
they asked for |M| \[|M|=Det(M)\]
hmm good point, so I'm not sure now, but |det(M)| = 1 is definitely true
\[(\det(M))^2=1 \\ means \det(M)=1 \text{ or } \det(M)=-1 \]
so it is true then since it can be both
well that or doesn't mean it is both
it just means if we have M^2=I we have two possibilities that can happen for the determinant
you know depending on the matrix we choose for M
Like zarkon chosen a matrix such that M^2=I and det(M)=-1
I could find a matrix M such that M^2=I and also det(M)=1 but the point is the det(M) isn't aways 1 for when M^2=I
I think Zarkon is right. He picked a matrix M such that M = M^(-1) is true, but |M| = -1
zarkon is right
you have others that are incorrect in your list
is it d. i think it might be true
yes..that is one of them
is e. another one is it true
you tell me...why did you think it was false...why do you now think it is now true?
the set of all functions, with the standard definitions of "sum of two functions" and "product of a function and a number", is a vector space because for any two functions
@Zarkon
e is true
ok are the rest correct?
no
okay so i am left with b and c. is c false?
c is false...why?
dont know thats just a guess
how many solutions does the following have \[\left[\begin{array}{cc} 1 & 0 \\[0.em] 0 & 0 \\[0.em] \end{array}\right]x=\left[\begin{array}{c} 0 \\[0.em] 1 \\[0.em] \end{array}\right]\]
many solutions
give me one
im not quite sure what you mean
you said it has many solutions...give be one vector x that satisfies the matrix equation above
well i think it has many solutions since the last row is all 0 but i dont know what you mean still
write it like this \[\left[\begin{array}{cc} 1 & 0 \\[0.em] 0 & 0 \\[0.em] \end{array}\right] \left[\begin{array}{c} x_1 \\[0.em] x_2 \\[0.em] \end{array}\right] =\left[\begin{array}{c} x_1 \\[0.em] 0\\[0.em] \end{array}\right]\]
is it possible for \[\left[\begin{array}{c} x_1 \\[0.em] 0\\[0.em] \end{array}\right]=\left[\begin{array}{c} 0\\[0.em] 1\\[0.em] \end{array}\right]\]
are you away from your computer or are you thinking?
im here
just trying to figure out what you're trying to tell me..im confuse
is b. wrong too is it true
you might want to look over your book and notes again to get a better grasp of the fundamentals
why do you think (b) is true?
idk apparently i had almost all of them wrong
yes you did....hence why I think you should take some time to reread the material and try and do as many numerical problems as you can then come back to these
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