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    250A Homework 1

    Solution by Jaejeong Lee

    Question 1 Let

    be a linear operator. Show that

    has 1 and 2

    dimensional invariant subspaces.

    Solution The characteristic polynomial of

    is real cubic, so it has at least one

    real root and an eigenvector

    such that

    . Note that

    is a 1-dimensional invariant subspace of

    and

    . Now if

    ,

    then

    and any 2-dimensional subspace of

    is invariant under

    . If

    , then

    is a 2-dimensional invariant subspace, since

    for

    we have

    and

    hence

    . If

    , then

    is a 2-dimensional invariant subspace since

    . Therefore, in any case,

    has a 2-dimensional invariant subspace,

    too.

    Question 2Let be the space of matrices. What is

    ? Now define the

    linear operator

    by

    Compute

    .

    SolutionThe standard basis for is

    , where

    is a matrix

    unit with its only nonzero entry being 1 at

    . Thus

    . We compute

    so the eigenvectors of

    are

    and the corresponding eigenval-

    ues are

    . Therefore,

    .

    1

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    Question 3Van der Monde Determinant. Let be the

    matrix with entries

    Show that

    .

    SolutionNote that

    ... ...

    ... . . .

    ...

    We use induction on . When

    , we verify

    Assume now the assertion is true up to

    and let

    ... ...

    ... . . .

    ...

    Since

    is a polynomial of degree

    and

    for

    , we

    have

    ... ...

    . . . ...

    2

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    by the induction hypothesis. Therefore, we finally get

    ... ...

    ... . . .

    ...

    and the assertion is true for n.

    Question 4(Anti)commutators.Let

    be a finite dimensional vector space. Show

    that the mapping

    where

    obeys the Leibnitz rule

    . In addition, verify the

    Jacobi identity

    Generalize the above laws to the mapping

    . Include also new rules which mix both operations.

    SolutionWe want to find a kind of the Leibnitz rule

    in cases

    or

    and

    ,

    , or

    . For

    example, when

    and

    , we have

    (1)

    3

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    and when

    and

    , we have

    (2)

    Now I present a trickto find such rules. (It may not be a trick but a principle.

    Because I dont know why it works, to me, it is a trick.)

    Matrices can be assigned two attributes, even and odd. If is assigned odd,

    we mark it

    , and if even, leave it as it is.

    Step1Write down (1) or (2).

    e.g.

    Step2Assign attributes to

    arbitrarily.

    e.g.

    Step3Regard (odd,odd)-pair and (even,even)-pair as even and other pairs as

    odd.

    e.g. is odd, so is even. is even and is odd.

    Step4If you fi nd

    odd

    odd

    , replace

    by

    .

    e.g.

    Step5If an odd, as an operator, goes past another odd, then replace

    by

    .

    e.g.

    (

    goes past

    )

    Step6Remove markings

    and declare you found a rule.

    e.g.

    Example1.

    Step1

    .

    Step2

    Step3Observe

    and

    .

    Step4

    Step5

    Step6

    Example2.

    Step1

    .

    Step2

    Step3Observe

    ,

    , and

    .

    Step4

    Step5

    Step6

    4

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    Example3.

    Step1 .

    Step2

    Step3

    is even,

    and

    are odd.

    Step4

    Step5

    (No change)

    Step6

    Find more on your own. Note that you never get

    because ofStep3

    andStep4.

    Question 5 Baker Campbell Hausdorff Formula. Let

    be a finite dimensional

    vector space and

    . Show that

    if

    . Hint: Develop and solve a differential equa-

    tion for

    .

    SolutionWe need the identity

    (proved below) to see

    the last equality coming from the commutativity assumptions. Since

    we

    get the unique solution

    (Verify this. We need the commutativity assumptions again. To solve

    we observe

    .) Plugging we get the

    desired equality. To show

    , let

    and

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    compute the Taylor expansion for

    ;

    and so on. Therefore

    6