Quantum Physics II (8.05) Fall 2013 Assignment 4
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1 Quantum Physics II (8.05) Fall 2013 Assignment 4 Massachusetts Institute of Technology Physics Department Due October 4, 2013 September 27, :00 pm Problem Set 4 1. Identitites for commutators (Based on Griffiths Prob.3.13) [10 points] In the following problem A, B, and C are linear operators. So are q and p. (a) Prove the following commutator identity: [A, BC] = [A, B]C + B [A, C]. This is the derivation property of the commutator: the commutator with A, that is the object [A, ], acts like a derivative on the product BC. In the result the commutator is first taken with B and then taken with C while the operator that stays untouched is positioned at the expected place. (b) Prove the Jacobi identity: [[A, B],C]+ [[B, C],A]+ [[C, A],B] = 0. (c) Using [q, p] = il and the result of (a), show that n n 1 [q,p ] = il nq. (d) For any function f(q) that can be expanded in a power series in q, use (c) to show [f(q),p] = ilf (q). (e) On the space of position-dependent functions, the operator f(x) acts multiplical tively and p acts as. Calculate [f(x),p] by letting this operator act on an i x arbitrary wavefunction. 2. Useful operator identities and translations [10 points] Suppose that A and B are two operators that do not commute, [A, B] = 0. (a) Let t be a formal variable. Show that d e t(a+b) = (A + B)e t(a+b) = e t(a+b) (A + B). 1
2 2 (b) Now suppose [A, B] = c, where c is a c-number (a complex number times the identity operator). Prove that e A Be A = B + c. (1) [Hint: Define an operator-valued function F (t) e ta Be ta. What is F (0)? Derive a differential equation for F (t) and integrate it.] Comment: Equation (1) is a special case of the Hadamard lemma, to be considered below. (c) Let a be a real number and ˆp be the momentum operator. Show that the unitary translation operator translates the position operator: p/l ˆT (a) e iaˆ Tˆ (a)ˆxtˆ(a) = xˆ+ a. If a state ψ) is described by the wave function (x ψ) = ψ(x), show that the state Tˆ(a) ψ) is described by the wave function ψ(x a). 3. Proof of the Hadamard lemma [10 points] Prove that for two operators A and B, we have e A Be A 1 1 = B +[A, B]+ [A, [A, B]]+ [A, [A, [A, B]]]+. (1) 2! 3! Define f(t) e ta Be ta and calculate the first few derivatives of f(t) evaluated at t = 0. Then use Taylor expansions. Calculating explicitly the first three derivatives suffices to obtain (1). Do things to all orders by finding the form of the (n +1)-th term in the right-hand side of (1). To write the answer in a neat form we define the operator ada that acts on operators X to give operators via the commutator ada(x) [A, X]. Confirm that with this notation, the complete version of equation (1) becomes A e Be A = e ada (B). 4. Special case of the Baker-Haussdorf Theorem [10 points] Consider two operators A and B, such that [A, B] = ci, where c is a complex number and I is the identity operator. You will prove here the following identity A+B B A c/2 A B c/2 e = e e e = e e e. (2) For this purpose consider the operator valued function t(a+b) ta G(t) e e.
3 3 (a) Using operator properties and identities you derived previously show that d G 1 G(t) = B + ct. (3) d (b) Note that (3) is equivalent to G(t) = G(t)(B +ct). Verify that the solution to this equation is 1 G(t) = G(0)e tb e 2 ct2. (4) (c) Consider G(1) to prove the first equality in (2). Rename the operators to obtain the other equality. Comment: The full Baker-Hausdorff formula is of the form X Y e e = e X+Y+ 1 2 [X,Y] ([X,[X,Y]] [Y,[X,Y]])+... and there is no simple closed form for general X and Y. 5. Bras and kets. [5 points] Consider a three-dimensional Hilbert space with an orthonormal basis 1), 2), 3). Using complex constants a and b define the kets ψ) = a 1) b 2)+ a 3) ; φ) = b 1)+ a 2). (a) Write down (ψ and (φ. Calculate (φ ψ) and (ψ φ). Check that (φ ψ) = (ψ φ). (b) Express ψ) and φ) as column vectors in the 1), 2), 3) basis and repeat (a). (c) Let A = φ)(ψ. Find the 3 3 matrix that represents A in the given basis. (d) Let Q = ψ)(ψ + φ)(φ. Is Q hermitian? Give a simple argument (no computation) to show that Q has a zero eigenvalue. 6. Shankar 1.8.8, p.43. Hermitian matrices and anticommutators [5 points] 7. Orthogonal projections and approximations (based on Axler) [15 points] Consider a vector space V with an inner-product and a subspace U of V that is spanned by rather simple vectors. (You can imagine this by taking V to be 3 dimensional space, and U some plane going through the origin). The question is: Given a vector v V that is not in U, what is the vector in U that best approximates v? As we also have a norm, we can ask a more precisely question: What is the vector u U for which v u is smallest. The answer is surprisingly simple: the vector u is given by P U v, the orthogonal projection of v to U! (a) Prove the above claim by showing that for any u U one has v u v P U v.
4 4 As an application consider the infinite dimensional vector space of real functions in the interval x [ π, π]. The inner product of two functions f and g on this interval is taken to be: π (f, g) = f(x)g(x)dx. π We will take U to be the a six-dimensional subspace of functions with a basis given by (1,x,x,x,x,x 5 ). In this problem please use an algebraic manipulator that does integrals! (b) Use the Gram-Schmi algorithm to find an orthonormal basis (e 1,...,e 6 ) for U. (c) Consider approximating the functions sinx and cos x with the best possible representatives from U. Calculate exactly these two representatives and write them as polynomials in x with coefficients that depend on powers of π and other constants. Also write the polynomials using numerical coefficients with six significant digits. (d) Do a plot for each of the functions (sinx and cosx) where you show the original function, its best approximation in U calculated above, and the approximation in U that corresponds to the truncated Taylor expansion about x = 0.
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