Chapter 1. Flashcards

1
Q

What’s the first property for a matrix to be considered in echelon form?

A

All nonzero rows are above any rows of all zeros.

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2
Q

What’s the second property for a matrix to be considered in echelon form?

A

For each row, the leading nonzero entry is in a column to the right of the above row’s leading nonzero entry.

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3
Q

What is the third property for a matrix to be in echelon form?

A

All entries in a column below a leading nonzero entry are zeros.

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4
Q

What is the first property for a matrix to be considered in reduced echelon form?

A

Each leading entry of a column is a 1.

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5
Q

What is the second property for a matrix to be in reduced echelon form?

A

Each leading entry is only nonzero entry in its column.

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6
Q

Do we want echelon form or reduced echelon form?

A

Echelon form requires less work but the solution is not as obvious. Reduced echelon form requires more work but however the solution to the system is more clear.

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7
Q

What is a pivot position?

A

A column with a leading entry.

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8
Q

What is a pivot column?

A

A column that has a pivot position nested in it.

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9
Q

What is a basic variable?

A

Corresponds to value that, represents a pivot position in the matrix.

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10
Q

What is a free variable?

A

Value that is nested inside of a non-pivot column.

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11
Q

What happens when the echelon form of a matrix contains a row of the form: [0 0 0 0 … | != 0]?

A

We would say that there is no solution.

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12
Q

When is a solution unique to a system?

A

A solution is unique whenever there are no free variables and there are only basic variables.

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13
Q

When does a system in echelon form have an infinite amount of solutions?

A

A system in echelon form has an infinite amount of solutions, whenever we have free variables inside of the matrix.

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14
Q

What is linear algebra?

A

This would be the study of system of linear equations.

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15
Q

What is a linear equation?

A

An equation of the form: a_1x_1 + a_2x_2 + … + a_nx_n = b

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16
Q

What is an example of a linear equation?

A

3x_1 + 5x_2 = 8