Consider the linear system Ax = b where A ∈Rn×n is non-singular and b ∈Rn.
assume A is symmetric (but not necessarily positive definite), and consider
again the oblique projection framework.
Wk = AKk
Where AKk is the Krylov space
Show that 〈r0,rk〉= ‖rk‖^2
Consider the linear system Ax = b where A ∈Rn×n is non-singular and b ∈Rn.
Assuming A is positive definite, consider the oblique projection framework where Wk = AKk,
and show that Span{r0,r1,...,rk−1}= Kk (A,r0)
Where ri are the residuals and Kk is the Krylov space
Find the inverse of the given set of ordered pairs, Then, type F if the inverse is a function or R if its is a mere relation.
1.) {(-3,5), (2,-4), (6,10), (3,-5)}
2.) {(5,1), (4,2), (3,3), (2,5)}
3.) {(1,1), (2,2), (3,3), (4,4)}
Show that if be the Eigenvalues of the matrix, then has the Eigenvalues
.
λ1, λ2, λ3, . . . λn A An
λn
1 , λ n
2 , λn
3 . . . λn
n
In R
4
let L
1
be the subspace spaned by the vectors a=(1;2;5;1), b=(4;3;3;0), c=(7;4;1;−1), and let L
2
be the subspace spaned by the vectors d=(1;1;1;1), f=(−1;0;3;−1) and g=(5;2;−1;−3). Find the dimension of L
1
∩L
2
.
In R^3 we have a = (1, 0,-2); b = (-1, 3, 1) and we consider x = a + b; y = -2a + b and z =3a – 5b.
Using the properties of the vector space, calculate T = 2x – 3y + z.