Final Flashcards

1
Q

Onto

A
  • Span

* pivot in each row

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2
Q

1-to-1

A
  • linearly indépendant

* pivot in each column

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3
Q

b is in the span {v1,v2,v3} iff

A

x1v1+x2v2+x3v3=b has a solution

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4
Q

{v1,v2,v3} are linearly independent iff

A

c1v1+c2v2+c3v3=0 has only the trivial solution (no free variables)

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5
Q

{0,v2,v3} is

A

linearly dependent

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6
Q

linear iff

A

Ax=0

plug in 0 for all x, if that gets you 0 then its linear

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7
Q

A set H in Rn is a subspace if it satisfies the following properties

A

1) the zero vector is in H
2) for any u v in H, u+v is in H
3) for any u in H cu is in H

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8
Q

A basis for a subspace H of Rn is:

A

A basis for a subspace H is a collection of vectors which are linearly independent and span H

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9
Q

Col(A)

A

The column space of A is the set of all linear combinations of the columns of A

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10
Q

Nul(A)

A

The null space of A is the set of all solutions to the homogenous equation Ax=0

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11
Q

The dimension of a subspace H is

A

the number of vectors in any basis of H

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12
Q

The rank of matrix A

A

is the dimension of the column space of A

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13
Q

what is the dimensions theorem

A

given an mXn matrix A the dimensions theorem states that dim(NulA) + rankA = n

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14
Q

how is the length (or norm) of a vector v defined by using inner product?

A

sqrt(v*v) the square root of the inner product of v with itself

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15
Q

A collection of vectors {u1,u2,…un} in Rn is said to be an orthogonal set if

A

ui*uj = 0 for any i not equal to j

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16
Q

if a multiple of one row is added to another row

A

det(A)=det(B)

17
Q

if two rows are swapped

A

detB=-detA

18
Q

if a row of A is multiplied by k to produce B

A

det(B) = k det(A)

19
Q

if lambda = 0 is an eigenvalue

A

det(A) = 0

20
Q

the characteristic eq

A

det(A=lambda(I))= blah blah till you get a polynomial eq

21
Q

A is invertible if

A

det(A) does not = 0