Matrices and linear algebra Flashcards

1
Q

What is the commutator?

A

[A,B]=AB-BA

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2
Q

What does commutative mean?

A

AB=BA

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3
Q

What three ways are there to change equations without changing the solution?

A
  1. Interchange two equations/rows
    2.Replace a line/row by itself +C times another equation/row
    3.Multiply any equation/row by a non-zero constant
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4
Q

What are the aims for row-reduced echelon?

A
  1. Want 1st non-zero entry in a row to be 1
  2. Want the 1st non-zero entry for each row to be at he right of the previous row
  3. Want each column that contains one of the leading 1’s to have all other entries zero
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5
Q

What is the trace of a matrix?

A

Tr(A) equals the sum of the diagonal

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6
Q

What are the properties of the trace?

A

Tr(A+B)=Tr(A)+Tr(B)
Tr(AB)=Tr(BA)

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7
Q

What is the volume of a parallelepiped formed by 3 row vectors?

A

The determinant of the matrix containing those 3 row vectors?

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8
Q

What determinant property allows to expand along the 1st column instead of 1st row?

A

det(A)=det(A’)
Where A’ is the transpose of A

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9
Q

What determinant property allows to expand along any row or column?

A

If a matrix B is obtained by interchanging two rows or two columns of a matrix A then det(B)=-det(A)

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10
Q

What is the determinant for a triangular matrix?

A

The product of all entries on the diagonal

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11
Q

What is the co-factor rule?

A

det(A)=∑a_ij*c_ij
From j=1

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12
Q

What is the false co-factor rule?

A

det(A)=∑a_ij*c_kj=0
From j=1 for all i ≠ k

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13
Q

If two rows of a matrix, A, are the same what is det(A)?

A

det(A)=0

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14
Q

What is the adjugate matrix?

A

Adj(A) equals the transpose of the co-factor matrix

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15
Q

What is a singular matrix?

A

A matrix for which det(A)=0 and has no inverse

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16
Q

What is the inverse of a matrix?

A

A^-1=Adj(A)1/det(A)
A
Adj(A)=det(A)*I

17
Q

What are the properties of matrix inevrses?

A

If A and B are invertible then (AB)^-1=B^-1 * A^-1

If A is invertible then the transpose of A is also invertible

18
Q

What is the LU decomposition method?

A

A matrix A is split into a lower matrix L and an upper matrix U
The the det(A)=det(L)*det(U)=det(U)

19
Q

How do we use the LU decomposition method to solve simultaneous equations?

A

Ax=b
LUx=b
Ux=y
Ly=b
Use L and vector b to work out vector y
Then use vector y and U to work out vector x

20
Q

What is a symmetric matrix?

A

When A equals the transpose of A

21
Q

What is an anti-symmetric matrix?

A

When the transpose of A equals -A

22
Q

What is an orthogonal matrix?

A

When the transpose of A equals the inverse of A

23
Q

What is the Hermitian conjugate matrix?

A

The Hermitian conjugate of A is A dagger which equals the transpose of the complex conjugate of A as well as the complex conjugate of the transpose of A

24
Q

What is a Hermitian matrix?

A

When A dagger equals A

25
Q

What is an anti-Hermitian amtrix?

A

When A dagger equals -A

26
Q

How are eigenvalues calculated?

A

det(A-Iλ)=0
The obtain a quadratic, cubic etc in λ and solve for λ

27
Q

How are eigenvectors calculated?

A

Ax=λ_i x
Equate these two and solve for a,b,c etc and then normalise the eigenvector

28
Q

What is orthogonality for vectors?

A

For a vector y the transpose of y dotted with y=1 and the transpose of y dotted with a vector x=0
For complex vectors replace the transpose with the Hermitian conjugate

29
Q

What is a unitary matrix?

A

U dagger equals the inverse of U
The magnitude of λ_i squared =1

30
Q

What is the similarity transformation?

A

A goes to S^-1 A S
Where S is a matrix made up of the eigenvectors of A
Which diagonalises a matrix A
If A is Hermitian then S^-1=S dagger