Math Study Flashcards

(29 cards)

1
Q

infinitely many solutions mean

A

there is at least one free variable

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2
Q

1 solution means

A

unique solution, no free variables

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3
Q

0 solutions mean

A

sys is inconsistent (a row where 0 = #)

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4
Q

w a linear combination of v and u

A

[v u | w] if consistent or a free variable

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5
Q

transformations

A

look at 7+8

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6
Q

independent

A

pivot in every column

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7
Q

columns of A span^#rowsA

A

pivot in every row

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8
Q

solution to Ax=w for all w

A

pivot in every row

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9
Q

Ax=0 has a unique solution?

A

pivot in every column

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10
Q

one to one

A

pivot in every column

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11
Q

onto

A

pivot in every row

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12
Q

matrix multiplication

A

given in rxc, so if given AB, then c of A = r of B

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13
Q

inverse using matrix of original and identity

A

[A|I] -> [I|A^-1]

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14
Q

basis for null space

A

x such that Ax = 0, solution vector

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15
Q

basis for column space

A

original independent vectors/columns

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16
Q

vectors v in column space of A

A

Ax=v is consistent

17
Q

dimension of a space spanned by vectors

A

number of independent columns

18
Q

basis for space spanned by vectors

A

independent original vectors

19
Q

v in null space of matrix

20
Q

vectors form a basis for R^m

A

linearly independent vectors (pivot in every column)
and
# of vectors = dim = m (want pivot in every row)

21
Q

vectors form a basis for H=span{v1…vk]
is w in H?
give w with respect to H

A

w = c1v1+c2v2…
[w]b = [c1 c2]

22
Q

subspace of vector space

A

think and look at 21

23
Q

verify linear transformation
kernel and range

A

think and look at 22

24
Q

polynomials and matrices independent?

A

turn into vectors
pivot in every column

25
fx spanned by px and qx?
fx =apx+bqx, a and b exist unique solution, or many
26
basis and dimension of polynomials and matrices
turn into vectors basis: og independent polynomial or matrix dim: # of independent vectors
27
det using cofactor expansion or EF
det = (-1)^i+j x (aij) det(Aij) EF: swap rows (-det), row times c(1/c det)
28
diagonalize
values: det(A-&Id) = 0 vectors: plug in values and find solutions vectors per value (nxn needs n) P are vectors and D are values
29
kernel
vectors such that Ax = 0