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Following are equivalent for mxn matrix A (consistency):
Ax = b consistent ∀b
Columns of A span the set Rm
A has a pivot in every row
b is a linear combo/in span of columns of A
How to determine if the columns of an mxn matrix A are linearly independent? What 2 things should you always check first?
Trivial solution is the only solution to Ax = 0
If n > m (more columns than rows), then automatically dependent; 0 vector always causes dependence
Following are equivalent for an mxn matrix A (independence):
Columns of A are linearly independent
Ax = 0 has only the trivial solution
A has a pivot in every column
A has no free variables
What is true about every consistent linear system in terms of solution sets and the homogenous system?
Every consistent linear system has a general solution of the form
x = xp+xh
xp= particular solution (main solution of Ax = b)
xh= homogenous solution (solution of Ax = 0)
What is a dependence relation? How do you form one?
Expression relating a set of dependent vectors
Multiply the free variable by (each entry of it multiplied by the corresponding entry of the matrix)
Example: x3(5a1+3a2-2a3) = 0
What are the rules for Echelon form? What about RREF?
EF:
0 rows on bottom
Leading entries strictly behind those of above rows
All entries below a leading entry are 0
RREF (on top of EF):
Leading entries are 1s
All entries above leading entries are also 0
What does row equivalent mean?
You can obtain each matrix from the other with elementary row operations
What does vector equivalent mean? What’s a common trick question?
Every corresponding entry is the same
(1,2,3,0) ≠ (1,2,3) (different spaces)
What is the span of 1 vector? What about 2 non-colinear?
A line
A plane
What does non colinear mean?
Not on the same line
What’s the form of a linear map (function) and what are the inputs and outputs called? Actual outputs? What does image and pre-image mean?
T: Rn → Rm
Domain → codomain
Actual outputs → range
Image (b) is was you get from putting the pre-image (x) through T (under T)
What are the two rules for a linear transformation?
T(u + v) = T(u) + T(v)
T(cu) = cT(u)
What does it mean if a map can be written T(x) = Ax? What’s A called? How do you find this special matrix?
It’s a matrix transformation (it’s linear)
Standard matrix of T (if it exists then T is linear)
A = [T(e1) T(e2) … T(en)] where ei is the ith standard basis vector
What is the rotation matrix? What does it do?
cos -sin
sin cos
Rotates vector counterclockwise by theta wrt the origin
What does it mean for a map to be onto (surjective)? How do you determine this?
Every output has at least 1 input (every b is image of some x in Rn)
|range of T| = |codomain of T|
Ax = b has solution for all b
What does it mean for a map to be one to one? How do you determine this?
No 2 inputs have the same output
|range of T| <= |codomain of T|
Columns of A are linearly independent
What does the laplace interpolation theorem say?
Given n points, the interpolating equation through all n is an n-1 degree polynomial
p(t) = a0 + a1t + a2t2 + … + an-1tn-1
What is a contraction?
Shrink or stretch
What is shear?
Tilts the side(s) of the shape without changing volume or area
What is a projection?
Flatten into a line