Prove that the range of a matrix A is equal to the number of
singular non-null...
Prove that the range of a matrix A is equal to the number of
singular non-null values of the matrix and Explain how the
condition number of a matrix A relates to its singular values.
LU Decomposition
(i). Prove that for n equal to 2 or 3 there is a non-singular
square (n by n) matrix which has no LU decomposition with L unit
lower triangular and U upper triangular. (In fact, this is true for
any integer ≥ 2.)
(ii). We will see that all non-singular square matrices do have
an LUP decomposition (some time soon in class). Here P is a
permutation matrix, also defined in Appendix D and used in Chapter
28....
a) Show that if A is a real, non-singular nxn matrix, then
A.(A^T) is positive definite.
b) Let H be a real, symmetric nxn matrix. Show that H is
positive definite if and only if its eigenvalues are positive.
Let A be incidence matrix of graph G. prove if G has a cycle,
then null space of transpose of A is not {0} (there exists
non-trivial solution of (A^T)y=0)
Prove that if two non-equal letters are interchanged in a ISBN
code word the error will be detected (the word is no longer an ISBN
code word)
Prove that the ISBN code can detect any single error ( if a
letter was transmitted incorrectly the word is no longer an ISBN
code word)
Find a singular value decomposition for the matrix A = [ 1 0 -1,
-1 1 0] (that means 1 0 -1 is the first row and -1 1 0 is the
second)
If you could provide a step-by-step tutorial on how to complete
this I'd greatly appreciate it.
Let A∈Rn× n be a non-symmetric matrix.
Prove that |λ1| is real, provided that
|λ1|>|λ2|≥|λ3|≥...≥|λn|
where λi , i= 1,...,n are the eigenvalues of A, while
others can be real or not real.
A m*n matrix A. P is the dimension of null space of A. What are
the number of solutions to Ax=b in these cases. Prove your
answer.
a. m=6, n=8, p=2
b. m=6, n=10, p=5
c. m=8, n=6, p=0