Week 10 Flashcards
(23 cards)
Column Space?
-Linear span of columns of M , before RREF
subspace of R^m (where m is rows)
Row Space?
-Lin span of transpose rows of M before RREF
subspace of R^n (where n is columns)
Null Space?
the set of solutions of the system Mx=0
subspace of R^m (where m is rows)
What are the basis for CS and RS?
-CS = Pre RREF, whatever are the columns making up it
-RS =Post RREF
Basis for null space?
the same
How to show linear makeup from basis?
-RREF basis columns and column that is made up of one and the equation we get e.g. c1 -c2 +c3 = 0 , we can show it is
Rank Nullity?
dim(RS(M) + dim (CS(M) = dim (R^n) where n are columns
How to prove RS(A) and NS(A) are orthogonal complements?
- rank nullity theorem
-dot product of any vector of each = 0
Null Space Cartesian Equation?
-use basis for RS(A) as orthogonal
and plug into eq
What is null space?
all x that solves Ax = 0
How to get cartesian description of null space?
-we use basis of row space transposed and multiply by vector (x1,x2,x3…) = 0
How to get cartesian description of Row Space?
-we use basis of null space transposed and multiply by vector (x1,x2,x3…) =0
How to get cartesian description of column space?
-Transpose matrix then RREF, then paramteric equation vectors multiplied by x = 0 then we get our cartesian equations
or if we have 2 vectors in basis, we just use the normal from that by cross product
How to get the cartesian equation of subspace that spans the set X
-same as cartesian description of column space
How to show a system is consisyent using column space?
Column space condition: b∈CS(A), meaning
b can be written as a linear combination of the columns of A.
condition for a set of vectors to provide a basis in a R^n?
det ≠ 0
Coordinates (V)c with respect to basis c
you just use vectors of c and solve a(v1) + b(v2) = (v)
How to show a set of functions is linearly independent?
c1f1(x) +c2f2(x) = z(x)
only if c1 and c2=0
How to show a set spans a subspace for functions?
That the subspace can be written as combination of the functions
bilinearity?
⟨u,βb+γc⟩=β⟨u,b⟩+γ⟨u,c⟩
use example and just plug in inner product <u,v> to get end
linearity on right is keep vector on left and vice versa for on right
Symmetry?
<v,u> = <u,v>
Positivity?
<u,u> ≥0 or if <u,u> = 0 only if u=0
<n,n>?
ll n ll ^2