lecture 5 - linear systems Flashcards

1
Q

what is a system of linear equations?

A

multiple equations forming into a complete matrix

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2
Q

What is a complete matrix?

A

A matrix, symbolised as A^c, that is made of the regular incomplete A matrix as well as the “known” b column.

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3
Q

What is cramers theorem?

A

if A is non-singular (det != 0), then there is only one solution that can satisfy all linear equations in the system simultaneously. If this is true, it is considered a cramer system.

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4
Q

What is a hybrid matrix?

A

Symbol = A(i)
Matrix of A with respect to i that substites the ith column for b (known values).
a(1,1) a(1,2) … b(1) .. a(1,n)

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5
Q

What is cramers method?

A

If matrix is cramer system, then you can find the solutions to the linear system by finding det(hybrid matrix(i)) / det(A).
> this means replacing each column vector with the known values (b) to find determinant values for x, y and z depending on their position.

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6
Q

What is equivalent systems?

A

2 systems Ax = b and Cx = b that have some solutions which are equivalent.
> transformations may be needed to make matrix become equivalent.

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7
Q

What is gaussian elimination?

A

Transform complete matrix using 3 properties in which do not change the solution but will give solutions to the linear system by creating a triangular system.

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8
Q

What are the 3 transformations for gaussian elimination?

A

E1 = swap 2 rows with eachother
E2 = multiplication of row by scalar value
E3 = substitute rows by a sum of row a(i) and another row.
The focus should be on the unknown values (incomplete matrix a) but should change the known values as well.

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9
Q

What is a triangular system?

A

Remove values sequentially using transformations to get to a(n) on its own.
1 1 1 1 | 2
0 2 3 2 | 3
0 0 1 1 | 7
0 0 0 3 | 5

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10
Q

Why use gaussian elimination instead of cramers method?

A

Gaussian elimination is easy for a computer to do and is useful on larger matrices with more elements.

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11
Q

How to get solutions from gaussian elimination?

A

Use the last x value to find each sequential step prior to it with the transformed known values.

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12
Q

What should be the general method for Gaussian Elimination?

A
  • get leading 1 in first column
  • make rest of the column 0
  • move to next value.
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13
Q
A
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