Chapter 1.1 - 1.2 Flashcards

1
Q

Homogenous linear equation

A

all of the constant terms are 0

\_\_\_\_ = 0 
\_\_\_\_ = 0 
\_\_\_\_ = 0
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2
Q

A system of linear equations can only have how many solutions?

A

0, 1, ∞

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3
Q

If a system has at least ONE solution, what is it called?

A

consistent

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4
Q

If a system has NO solution, what is it called?

A

inconsistent

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5
Q

How can you determine the #dimensions in a system?

A

dimensions = #parameters

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6
Q

What are 3 ELEMENTARY row operations on a matrix?

A
  1. Multiply by non-zero constant
  2. Interchange two rows
  3. Add a constant times on row to another
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7
Q

True or False: A linear system whose equations are homogenous must be consistent?

A

True

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8
Q

What are the parameters necessary for a matrix to be in Reduced Row Echelon Form (RREF)?

A
  1. Leading one (non-zero rows)
  2. Lower leading one must be further to the RIGHT
  3. Rows of only 0 are at the BOTTOM
  4. Each column with a 1 must have ZERO everywhere else
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9
Q

What are the parameters necessary for a matrix to be in Row Echelon Form (REF)?

A
  1. Leading one (non-zero rows)
  2. Lower leading one must be further to the RIGHT
  3. Rows of only 0 are at the BOTTOM

DO NOT NEED 0 EVERYWHERE

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10
Q

What type of elimination do you do when converting a matrix into RREF?

A

Gauss-Jordan Elimination

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11
Q

What type of elimination do you do when converting a matrix into REF?

A

Gaussian Elimination

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12
Q

What do all homogenous systems do?

A

Pass through the origin (0,0)

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13
Q

What is a TRIVIAL solution of a homogenous system?

A

(0,0,0…0)

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14
Q

What is a NON-TRIVIAL solution of a homogenous system?

A

any other solution

NOT (0,0,0…0)

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15
Q

How do you know how many parameters a system will need?

A

parameters = # variables - # non-zero rows

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16
Q

What is a LEADING VARIABLE in a matrix?

A

leading 1s

17
Q

What is a FREE VARIABLE in a matrix?

A

all other variables

NOT leading 1s

18
Q

When a matrix needs to be parameterized how many solutions does it have?

A

19
Q

How many solutions would matrix with this last row have?

0 0 0 0 0 1

A

ZERO solutions

20
Q

Does every matrix have a unique reduced row echelon (RREF) form?

A

Yes

21
Q

Does every matrix have a unique row echelon (REF) form?

A

No