Vectors, Eigenvectors and Eigenvalues (Lectures 1-2) so far, add 3-6 Flashcards

(24 cards)

1
Q

How to find the determinant of a 2x2 matrix

A

(Top left x Bottom right) - (Bottom left x Top right)

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2
Q

How to find X and Y from the following system of equations (Cramer’s Rule) :

A1X + B1Y = C1
A2X + B2Y = C2

A

Write matrix Ax by replacing first column (a’s) with the C’s.

Write matrix Ay by replacing second columns (b’s) with the C’s.

X = det Ax / det A
Y = det Ay / det A

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3
Q

What does det A = 0 suggest about the number of solutions

A

No solutions
Infinite solutions

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4
Q

How many equations and how many unknowns do there have to be to use Cramer’s rule

A

Same number of linear equations as the number of unknowns.

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5
Q

How to find the determinant of a 3x3 matrix

A

Expand along row 1 using the sign pattern + − +.

For each number in row 1:

Multiply the number by the determinant of the 2×2 matrix left after blocking row 1 and that number’s column.

Apply the signs + − + from left to right.

Add the three results together to get the determinant.

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6
Q

What is a permutation

A

A rearrangement of numbers

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7
Q

What is an inversion

A

When a larger number appears before a smaller number in your permutation

E.g. In the permutation 2,3,1:

(2,3) and (3,1) are inversions

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8
Q

What is a configuration

A

When in an nxn matrix you choose exactly n elements such that:

No 2 elements are in the same row
No 2 elements are in the same column

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9
Q

How to find the determinant of a 3x3 matrix using configurations

A

Find every single way of getting a number from each column and row but CANNOT be in the same row or column, then add them all. If there are any odd number of inversions then it gets a (-) sign.

Det A = A11A22A33 + A12A23A31 + A13A21A32 - A13A22A31 - A12A21A33 - A11A23A32

You only look at the permutation of column indices NOT the actual matrix values.

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10
Q

What is the necessary condition for Cramer’s Rule

A

Det A MUST NOT = 0

The rule doesn’t work if Det A = 0 as you would be dividing by 0

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11
Q

What is transposition

A

The rows of A become the columns of A^T

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12
Q

What are the properties of determinants

A

Det A = Det (A^T) for each square matrix A

If you swap the positions of two different rows in a square matrix, then Det A’ = - Det A

If you multiply each row of a square matrix A by c then det A’ = c x Det A

If in a square matrix, two rows are multiples of each other (3rd row is irrelevant) then determinant = 0

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13
Q

What is the necessary condition for matrix addition

A

Both matrices must have the SAME number of rows and columns

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14
Q

Common rules about matrices

A

A + B = B + A
(A + B) + C = A + (B + C)
A + 0 = A
A - A = 0

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15
Q

What is the necessary condition for matrix multiplication

A

Number of rows in A must equal the number of columns in B

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16
Q

Is matrix multiplication commutative

17
Q

How to multiply 3x3 matrices

A

(R1 x C1) + (R1 x C2) + (R1 x C3) = new row 1

Repeat to find rows 2 and 3 substituting R1 for R2 and R3

18
Q

What is the identity matrix

A

An nxn square matrix with 1’s on the diagonal and 0’s elsewhere

19
Q

What does multiplying by the identity matrix do

A

Nothing, same as multiplying by 1

20
Q

When is a square matrix non-singular/ invertible

A

If there exists another matrix A^-1 such that AA^-1 = identity matrix

21
Q

What does an invertible/non-singular matrix mean

A

Determinant is not 0

22
Q

How to solve a system of linear equations with matrices

A

Write in the form Ax = b where A is the matrix, x is the column of unknowns and b is the column of answers.

X = A^-1 x b if A is invertible (it will have 1 solution)

23
Q

How do we find the inverse of a 2x2 matrix

A

A^-1 = 1 / Det A x A*

Where to get A*, swap the top to bottom diagonal and multiply bottom to top diagonal by -1

24
Q

How to find the inverse of a 3x3 matrix

A

A^-1 = 1 / Det A x A*

Find 9 determinants and use +, -, +, - , + etc..
REMEMBER NOT TO MULTIPLY BY THE NUMBER LIKE YOU DO WHEN FINDING DET OF A 3X3. YOU ARE JUST FINDING THE DET OF THE 2X2’s

Block first row and first column, then second, then third

Repeat but blocking second row instead of first

Repeat but block third row

Then transpose the matrix formed (swap rows and columns)

Now this new matrix is A*