Week 2 matrices Flashcards

1
Q

using systems of equations

A

1) use matrix equation

2) write out coefficient matrix, vectors of unknowns, constant vector

3) solve for X in the matrix equation, by multiplying by inverse A

4) Find inverse A

5) solve for X by subbing in calculated ANS

6) solve for x,y values

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2
Q

using systems of equations

A

1) notice equation 3 is double than equation 2, but = 0 not 18, so it’s inconsistent and no solution

2) another check, the determinant of A = 0

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3
Q

Question e

using systems of equations

A

1) to balance the equation, multiply each factor by different constants

2) write out an equation for each element (O, C, H) with their different constants

3) write it out as a system of equation (use matrix equation) - also choose which variable to be the constant

4) Use X= (A^-1)(b), find inverse A

5) sub ANS into X= (A^-1)(b) equation
ANS= inverse A, constant vector (b)

6) obtain 3 equations for the 3 unknown vectors (a,b,c)

7) choose a value for d so it gives a whole number for everything

8) sub back into original chemistry equation

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4
Q

Gaussian elimination goal?

A

To get augmented matrix into identity matrix, then you can read the b column (constant vector) to get the ANS

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5
Q

Question a

A

1) write the augmented matrix

2) use row reduction methods to get to identity matrix

3) match with x,y values with rows

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6
Q

What is the basic method for gaussian elimination

A
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7
Q

Question c

A
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8
Q

Question a, find inverse of A using gaussian elimination

A

0) Check if inverse A exists, if determinant = 0, then inverse doesn’t exist

1) write augmented matrix with identity matrix

2) perform gaussian elimination (Get LHS = Identity matrix, results in RHS= inverse)

3) Take out inverse A

4) take a factor out of the matrix so there’s only whole numbers in the matrix

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9
Q

what is row echelon?

A

where all elements below the main diagonal is 0

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10
Q

what is reduced row echelon form?

A

all remaining elements in a column containing 1 on the main diagonal is 0

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11
Q

Define rank

A

number of non-zero rows in the row echelon form of a matrix

where non-zero row = rows in a matrix which has at least 1 non-zero element in it

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12
Q

find the ranks and no. of free parameters

A
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13
Q

equation for the no. of free parameters

A

m - rank(coefficient matrix) = no. free parameters

m= no. of rows in the augmented matrix (includes the extra column)

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14
Q

what is the Rank properties
If:

A
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15
Q

what is a non-trivial solution?

A

X doesn’t equal 0

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16
Q

Define eigenvalues and eigenvectors

A

val- values of lambda (scalar constant) giving non-trivial solutions

vec- the corresponding vectors, X

17
Q

what is the eigenvalue problem?

A
18
Q

what is the characteristic polynomial?

A
19
Q

Find the eigenvalue and eigenvector

A
20
Q

eigenvalue properties

A
21
Q

What is the solution to this augmented matrix?

A

No solution, as system is inconsistent

(0 = -14)

22
Q

Question c

A

1) use row reduction methods to achieve row echelon form
(Get all elements below the main diagonal to = 0)

2) note row 4, even has in its main diagonal position (column 4) = 0, this is fine

3) rank = 3

23
Q
A

0) leave equation 4, find the 3 unknowns and then sub into equ 4 to get lambda

1) put int augmented matrix

2) row reduct to get coefficient matrix to = identity matrix

3) solve for x,y,z by comparing with RHS

4) sub ANS into equ 4 to get lambda

24
Q
A
25
Q
A
26
Q

what’s the difference between reduced row echelon and identity matrix?

A

reduced row echelon can have 0 in the main diagonal