Pauli Approximations to the Self-Adjoint Extensions of the Aharonov-Bohm Hamiltonian

Size: px
Start display at page:

Download "Pauli Approximations to the Self-Adjoint Extensions of the Aharonov-Bohm Hamiltonian"

Transcription

1 Pauli Approximations to the Self-Adjoint Extensions of the Aharonov-Bohm Hamiltonian J.L. Borg a b c and J.V. Pulé a d e Abstract It is well known that the formal Aharonov-Bohm Hamiltonian operator, describing the interaction of a charged particle with a magnetic vortex, has a four-parameter family of self-adjoint extensions, which reduces to a two-parameter family if one requires that the Hamiltonian commutes with the angular momentum operator. The question we study here is which of these self-adjoint extensions can considered as limits of regularised Aharonov-Bohm Hamiltonians, that is Pauli Hamiltonians in which the magnetic field corresponds to a flux tube of non-zero diameter. We show that not all the self-adjoint extensions in this two-parameter family can be obtained by these approximations, but only two one-parameter subfamilies. In these two cases we can choose the gyromagnetic ratio in the approximating Pauli Hamiltonian in such a way that we get convergence in the norm resolvent sense to the corresponding self-adjoint extension. a Department of Mathematical Physics, University College Dublin National University of Ireland, Dublin, Belfield, Dublin 4, Ireland. b james.borg@um.edu.mt c on leave of absence from Department of Mathematics, University of Malta, Msida MSD 6, Malta. d Joe.Pule@ucd.ie e esearch Associate, School of Theoretical Physics, Dublin Institute for Advanced Studies.

2 Pauli Approximations to the Aharonov-Bohm Hamiltonian Introduction The Aharonov-Bohm Hamiltonian operator, describing the interaction of a charged particle with a magnetic vortex, that is, an infinitely extended, infinitely thin, impenetrable magnetic flux tube, is given by H = m p e c A,. where the vector potential A is given by A = φ k r,. π r φ being the flux of the tube. It is well known [, ] that this formal operator has a fourparameter family of self-adjoint extensions, which reduces to a two-parameter family if one requires that the Hamiltonian commutes with the angular momentum operator. These selfadjoint extensions can be obtained formally by adding a delta-function. The question we study in this paper is which of these self-adjoint extensions can considered as limits of regularised Aharonov-Bohm Hamiltonians, that is Pauli Hamiltonians in which the magnetic field corresponds to a flux tube of non-zero diameter. This problem has been studied by Bordag and Voropaev [3] and by Moroz [4]. These authors make the connection between the regularised Hamiltonian and the self-adjoint extensions of the A-B Hamiltonian and show that the gyromagnetic ratio has to be chosen in a particular way. They do this by by matching the bound states as the radius of the vortex tends to zero, but do not prove convergence of the operators. Also they do not take into account the second parameter in the two-parameter family of self-adjoint extensions mentioned above. Here we proceed more sytematically to extend the results of [3] and [4]. We consider convergence in the norm resolvent sense. We show that not all the self-adjoint extensions in this twoparameter family can be obtained by these approximations, but only two one-parameter subfamilies. Tamura [5] has done related work but with a different emphasis. When the A-B Hamiltonian is decomposed into the subspaces corresponding to the values of the angular momentum m Z, it turns out that if N is the integer part of the dimensionless parameter α = φe/hc, then the Hamiltonians restricted to m = N and m = N + are not essentially self-adjoint while the ones with other values of m are essentially self-adjoint. The operators corresponding to m = N and m = N + each have a one-parameter family of selfadjoint extensions. We denote these parameters in, ] by ν N and ν N+ respectively, ν N = and ν N+ = corresponding to the regular self-adjoint extension. We prove that for the subfamilies ν N,, ν N+ = and ν N+,, ν N = we can choose the gyromagnetic ratio, g, in the approximating Pauli Hamiltonian in such a way that we get convergence in the norm resolvent sense to the corresponding self-adjoint extension. The approximating Hamiltonian is H = m p e c A ge mc k B.3 with B = curla. The vector potential A is inside a tube of radius away from its boundary and given by. outside the tube away from the boundary. It was shown in [3] and [4] that to obtain a non-trivial limit, g must depend on and must tend to in a certain way. For a discussion of the physical significance of this limit we refer the reader to these

3 Pauli Approximations to the Aharonov-Bohm Hamiltonian 3 papers. The same result holds here for the self-adjoint extensions with ν N+,, ν N =. However, for the self-adjoint extensions with ν N+,, ν N =, which were not considered in [3] and [4], g must behave like + 4N + /α. Two other approximations have been considered, namely, the case when the magnetic field inside the tube is homogeneous [3, 4] and the case when it is proportional to /r [3]. The situation in these cases is similar but more complex. We deal with these briefly at the end of the paper. The paper is set out as follows. In Section we give the basic properties of the A-B Hamiltonian. In Section 3 we carry out the approximation to the A-B Hamiltonian with an infinitely thin infinitely extended cylindrical shell of non-zero radius. In Section 4 we smooth the flux shell to give it a non-zero thickness. In this section we only sketch the proof. In Section 5 we discuss the other two approximations. In the Appendix we give the asymptotic behaviour of the Special Functions needed for these approximations. The A-B Hamiltonian In the sequel we set /m = and e/c = so that the A-B Hamiltonian is formally the operator H = i + A,. in L, where the vector potential A is now given by A = α k r r.. We let α = N +, where N Z and < <. Without loss of generality, we shall assume that α >. This Hamiltonian is discussed in great detail in [] and []. The analysis proceeds by decomposing the underlying space and studying the radial Hamiltonians h m = r r r m α +.3 r r in L,, r dr. Taking as domain C,, r dr, these operators are essentially selfadjoint, except for the cases m = N, N + which have deficiency indices,. These two operators therefore have self-adjoint extensions h N,νN and h N+,νN+, parametrized by ν N and ν N+, where < ν N, ν N+. These self-adjoint extensions can be identified with the boundary conditions ν m φ = φ, where and φ = lim r r m α φr φ = lim r r m α [ φr r m α φ ]. A four-parameter family of self-adjoint extensions of H AB can be constructed from these. If we consider only self-adjoint extensions which commute with the angular momentum

4 Pauli Approximations to the Aharonov-Bohm Hamiltonian 4 operator, this reduces to a two-parameter family. For this particular choice, the self-adjoint extension, H ν, with ν, ], is just the direct sum H ν = h N,νN h N+,νN+ m= m N,N+ We shall write H for H ν with ν =,. Let g k, m = h m k. Then h m. g k, m r, r = iπ J m α kr < H m α kr >,.4 where r < = min{r, r } and r > = max{r, r }. The resolvents g νm k,m = h m,ν m k, m = N, N +, are given by with g νm k,m r, r = g k, m r, r + cm, ν m, kh m α krh m α kr, m = N, N +,.5 cm, ν, k = π Γ + m α cm,, k =. iπ m α Γ m α e m α m α k.6 m α k + νγ m α, Finally, the resolvent of the Hamiltonian G ν k = Hν k is given by see []: G ν k = gν N k,n g ν N+ k,n+ m= m N,N+.7 g k,m..8 Note that the operators h m,νm have one bound state, E m, given by Em m α Γ + m α = Γ m α ν m, m = N, N Approximation by Finite Flux Tube The Aharonov-Bohm Hamiltonian consists of an infinitely thin magnetic flux tube. As a first approximation to H AB, consider a flux tube of radius >, with a -function on a cylindrical shell following [3] but see also [6], [4]. That is we take the vector potential A = { r < α k r r r >. 3. Then k B = α r, so that formally, the Hamiltonian is then given by: H = i + A + β r 3.

5 Pauli Approximations to the Aharonov-Bohm Hamiltonian 5 where β = gα/. The components in L,, r dr corresponding to the angular momentum m of this formal operator are r r r m αθr + + β r 3.3 r r where Θ is the unit step function. The procedure for adding a point interaction at r = to a radial Hamiltonian is standard cfr. [7] Sect. I.3.. The point we make here is that β, the strength of the point interaction, has to depend on and α in a definite way so that the self-adjoint extensions obtained in this manner converge to the A-B self-adjoint extensions as tends to. Consider the following operator in L,, r dr with the closure of C h m, = r r r m αθr r r, \ {} as its domain [7], p. 75 i.e. Dh m, = {g H,,, r dr s.t. h m, g L,, r dr Then its adjoint has domain [7], p. 75 and g = }. 3.5 Dh m, = {g H,, \ {}, r dr H,,, r dr s.t. h m, g L,, r dr}. 3.6 The equation h m, φ = k φ, Ik >, has one solution in Dh m, for all values of m Z see Note, Appendix, given by { J m kr r < φ m,k r = B m kh m α kr r > 3.7 where B m k is chosen so that the condition φ m,k + = φ m,k is satisfied. Thus the operators h m, have deficiency indices,. Self-adjoint extensions h β m, are obtained by imposing the following boundary condition on the domain of h m, : φ m,k + βα, φ m,k = φ m,k, 3.8 where βα, is a constant parameter [7] p. 76. Note that we do not want the parameter βα, to depend on m since it represents gα/. We shall henceforth be writing β for this parameter to make the notation less cumbersome. Next we find the resolvent g β k, m, = hβ m, k. Note first that gk, m, = h m, k, Ik >, is given by Note, Appendix iπ J A m kr < m, k B kj m kr > + H m kr >, r, r < m, gk, m, r, r = iπ J m α kr < + B m, k A m, kh m α kr < H m α kr >, r, r > 3.9 iπ A m, kj m kr < H m α kr > otherwise

6 Pauli Approximations to the Aharonov-Bohm Hamiltonian 6 where the constants A m, k, A m, k, B m, k and B m, k are given by: A m, k = W [J m, H m α ]k W [J m α, H m α ]k, 3. B m, k = W [J m, J m α ]k W [H m α, J m α ]k, 3. A m, B k = W [H m α, H m ]k m, k = W [J m, H, 3. W [J m, H m ]k m α ]k. 3.3 W [J m, H m ]k Here W [, ] denotes the Wronskian. Then the resolvent of h β m, Appendix : is given by Note 3, g β k, m, = g k, m, β + βgk, m,, g k, m,, gk, m,,, 3.4 for Ik >. We are interested in the behaviour of g β k, m, r, r for small. We note first that lim gk, m, r, r = g k, m r, r, which is the resolvent of the regular operator. For small, gk, m, r, g k, m,, r c m k m α H m α krh m α kr, 3.5 where c m k = iπ m α + m Γ m α m α k. 3.6 If m α > i.e. if m / {N, N + }, then the second term will either go to zero, or to a constant multiple of H m α krh m α kr. Now H m α kr is not in L,, rdr since it behaves like r m α for small r see Note, Appendix. So in the latter case, the limit is not the kernel of a rank-one operator in L,, r dr. In particular, this means that it cannot be the kernel of a resolvent operator. Thus a meaningful non-zero limit for the second term in equation 3.4 exists only for the cases m = N, N +. It shall be shown later that for small, we get m α gk, m,, e iπ m α Γ m α k. 3.7 m α + m m α + m Γ m α For the case r, r > the other cases are straightforward, this results in g β k, m, r, r g k, m, r, r β c mk m α + β c k m α m α + m H m α krh m α kr, 3.8 where c k = e iπ m α Γ m α m α + m Γ m α m α k. 3.9

7 Pauli Approximations to the Aharonov-Bohm Hamiltonian 7 The second term in 3.8 converges to a non-zero limit if β has the following -dependence for small : β m α + m m α ν m m α + m m α. 3. Then we obtain lim gβ k, m, r, r = g k, m r, r + cm, ν m, kh m α krh m α kr. 3. This gives the correct expression in.5 for the kernel of the resolvent of some self-adjoint extension of h m, m = N, N +. The following are the only cases of interest: I if β α α ν N, then the second term in equation 3.4 approaches. a non-zero limit for m = N, corresponding to the self-adjoint extension h N,νN ;. zero limit for m = N +, corresponding to the regular self-adjoint extension h N+, ; 3. zero limit for m N, N +, corresponding to the self-adjoint operators h m. II if β α N + N + α ν N+, then the second term in equation 3.4 approaches. a non-zero limit for m = N +, corresponding to the self-adjoint extension h N+,νN+ ;. zero limit for m = N, corresponding to the regular self-adjoint extension h N, ; 3. zero limit for m N, N +, as before. We can state the above results as a Theorem: Theorem Let H β = m= h β m,. 3. Then H βα, converges, as, to one of the self-adjoint extensions H ν of the A-B Hamiltonian only if either βα, + α I ν N or βα, α + N + II ν N+. In case I H βα, converges in the norm resolvent sense, as, to H ν N,, and in case II to H, νn+.

8 Pauli Approximations to the Aharonov-Bohm Hamiltonian 8 Proof Let us consider case I, case II is similar. Since H βα, k G ν N, k 3.3 = max g βα, k, N, gν N g βα, k, N, k, N+, g k, N+, g βα, k, m, g k, m, sup m Z m N,N+ we not only have to prove that the the terms in the righthand side of the above equations tend to zero, but we have to show that g βα, k, m, g k, m tends to zero uniformly in m. To do this we need to obtain detailed upper and lower bounds on the special functions J ν and. These are given in the Appendix. H ν The first term in the expressions for g βα, k, m, is g k, m, and first term in the expressions for gk, ν m is g k, m. Therefore we start with the following lemma. Here denotes the Hilbert-Schmidt norm, and of course. Lemma For any m, lim gk, m, g k, m =. Furthermore, there exists M N such that for m > M, there exists a constant c, independent of m, such that g k, m, g k, m c, and lim c =. Proof : g k, m, g k, m g + g + g 3 + g 4 + g 5 g k, m 3.4 where g r, r = iπ A m, k B m, kj m krj m kr,, r, r 3.5 g r, r = iπ J m kr < H m kr >,, r, r 3.6 g 3 r, r = iπ B m, kh k A m α krh m α kr,, r, r 3.7 m, g 4 r, r iπ = A m, kj m kr < H m α kr <, ] [, [,, ] r, r 3.8 g 5 r, r = iπ J m α kr < H m α kr >,, r, r 3.9 Using the bounds 7.3, 7.4and 7.45 in Appendix and the relation W [J ν z, H ν i z] = πz, 3.3 we can see that for any ε >, there exists > such that if <, then the following

9 Pauli Approximations to the Aharonov-Bohm Hamiltonian 9 bounds hold: A m, k Γ m + m α + m Γ m α B m, k A m, k A m, k B m, k k m α m π m α m m α + m Γ m α Γ m α + m α m Γ m Γ m + π m α + m k + ε 3.3 m Now we can find bounds for the terms in equation 3.4 for small. g = g r, r r dr r dr = π 4 B m, k A m, k k m α + ε ε 3.33 r dr J m kr. Using 3.33 and 7. we get Next we have g m α m 4 + ε, m, 64 m m + m α + m 4 + ε, m =. 64 g = g r, r r dr r dr 3.34 = π 4 = π r dr r dr J m kr < H m kr > r dr J m kr r r dr H m kr. From 7., 7.8 and 7.5, we get g 4 + ε, m >, 8 m + m 4 + ε, 3 m =, 4 8 ln k 3 + ε, m = From the relations K ν z = K ν z and H ν z = i π e iπν K ν iz, 3.36

10 Pauli Approximations to the Aharonov-Bohm Hamiltonian we obtain for m α + ξ >. r dr H m α kr = 4 π 4 m α ξ π dr r m α +ξ r m α +ξ K m α i krk m α ikr dr r m α +ξ K m α i krk m α ikr. Using the formula of [9], we then get r dr H m α kr π k m α ξ m α ξ Γ ξ Γ Γ ξ + 4 Γ m α + ξ + Γ m α + ξ Γ m α + ξ + 4 Γ m α + ξ Γ m α + ξ 3.37 for m α and ξ >. So, if m N, N +, g 3 = g 3 r, r r dr r dr = π B m, k 4 A m, k r dr H m α kr r dr H m α kr r π B m, k [ ] 4 A m, k r dr H m α kr 4 ξ m α m Γ ξ k Γ ξ m α + m Γ ξ + + ε 4 Γ m α + ξ + Γ m α + ξ Γ m α + ξ Γ m α + ξ +. 4 Γ m α + ξγ m α Γ m α For m = N, N + the following bound is sufficient: g 3 π m α m k 4 m α + m Γ m α Γ m α + 4 m α H m α kr 4 + ε Thus, for fixed m, g 3 as provided we choose ξ <. To make the bound for g 3 in 3.38 independent of m, we use the following limit: Γn + a lim nb a n Γn + b =, 3.4

11 Pauli Approximations to the Aharonov-Bohm Hamiltonian to deduce that there exists M N such that, if m > M, then Γ m α + ξ + Γ m α + ξ/ Γ m α + ξ/ 4 Γ m α + ξ + ξ m 3 ξ Γ m α + ξγ m α Γ m α + where m = m α, and we must choose ξ < 4 3. Similarly, for m N, N +, g 4 = g 4 r, r r dr r dr 3.4 = π A m, k r dr J m kr ξ r dr H m α kr 3.43 ξ 4 ξ Γ Γ m + m α + m k ξ Γ ξ + + ε 4 Γ m α + ξ + Γ m α + ξ Γ m α + ξ Γ m α + ξ + 4 Γ m α + ξ Γ m α, 3.44 while for m = N, N +, g 4 π k m α m α + m + m α + m Γ m α H m α kr + ε As previously, for fixed m, g 4 as if we choose ξ <. To obtain a bound independent of m in 3.44, we again use the limit in 3.4 to show that there exists M N such that, if m > M, then Γ m α + ξ + Γ m α + ξ Γ m α + ξ + m Γ m α + ξ + 4 Γ m α + ξ Γ m α ξ 3 4 M 4 ξ Finally, so g 5 r, r g k, m r, r = iπ J m α kr < H m α kr > \,, 3.47 g 5 g k, m = π + π r dr J m α kr r dr J m α kr r r dr H m α kr + r dr H m α kr ε The first term is bounded by, while for the second term we need to 8 m α + m α consider the cases m N, N + separately using equation 3.37.

12 Pauli Approximations to the Aharonov-Bohm Hamiltonian Then we deduce that for m N, N +, g 5 g k, m 4 ξ + ε 8 m α + m α + Γ 4 ξ + ε m α Γ ξ Γ m α + ξ + Γ m α + ξ/ Γ m α + ξ/ Γ ξ + Γ m α + ξ +, 4 4 Γ m α + ξγ m α + while for m = N, N +, g 5 g k, m 4 + ε 8 m α + m α π k m α m α m α Γ + m α H m α kr + ε. k A similar argument to that used previously shows that the bound in 3.5 may be taken to be independent of m. This completes the proof of Lemma. Next we shall show that the operator h β m, converges in norm the resolvent sense to the appropriate limit provided β obeys condition I or II. Lemma : a If condition I condition II holds, then for m N m N +, the operator h β m, converges to h m in the norm resolvent sense as. Furthermore, there exists M N such that for m > M, there exists a constant c, independent of m, such that g β k, m, g k, m c, and lim c =. b If condition I condition II holds, then the operator h β N, converges to h N,ν N converges to h N+,νN+ in the norm resolvent sense as. h β N+, Proof: We shall prove the Lemma for the case when condition I holds. The corresponding proof for the case when condition II holds is similar. First we note the limiting behaviour of gk, m,, for small : gk, m,, c k m α m = N, N +, m α + m dk m N, N +. m α + m 3.5 where and dk = c k = e iπ m α Γ m α m α + m Γ m α + m α m α m m α m α + m m α k 3.5 k. 3.53

13 Pauli Approximations to the Aharonov-Bohm Hamiltonian 3 a Let m N and suppose condition I holds. We need to show that lim g β k, m, g k, m = Now g β k, m, g k, m g k, m, g k, m + β + + βgk, gk, m, m,,, In Lemma, we have shown that lim g k, m, g k, m =. The following three cases need to be considered separately: Case. m =,,,..., N ; Case. m = N +. Case 3. m or m N +. Case. If m =,,,..., N, then m α + m = α. For small, β + βgk, m,, α ν N, 3.56 while g k, m,, = = r dr g k, m, r, π 4 A m, k + ε { H m α k + J m k [ α + m + ξ α Γ m α + ξ+ Γ m α + ξ+ 4 r dr J m kr r dr H m α kr } ξ Γ ξ Γ k Γ ξ + 4 ] Γ m α + ξ/ Γ m α + ξ/, Γ m α + ξγ m α 3.57 Taking ξ < gives the desired limit. Case. If m = N +, then m α + m = N +. Then β αn + lim + βgk,n+, =, 3.58,

14 Pauli Approximations to the Aharonov-Bohm Hamiltonian 4 while r dr g k,n+, r, = π 4 A N+, k + J N+ k { H k r dr H kr } + ε + N + N + π H + kr N + Γ k r dr J N+ kr ε. 3.6 Case 3. If m or m N +, then m α + m = m α. The constant term is bounded as follows: β α m α + βgk, + ε, 3.6 m,, m α α and r dr g k, m, r, = π 4 A m, k + J m k [ m α + m + ξ Γ m α + ξ+ Γ m α + ξ+ { H m α k r dr H m α kr } r dr J m kr + ξ Γ ξ Γ m α k Γ ξ + + ε 4 ] Γ m α + ξ/ Γ m α + ξ/, Γ m α + ξγ m α An argument similar to that used in 3.46 ensures that the bound is independent of m if m is large enough. b Let m = N and suppose condition I holds. Then g β k,n, gν N k,n g k,n, g k,n + l k,n, l k,n 3.64 where l k,n, r, r = β + βg k,n,, g k,n, r, g k,n,, r, 3.65 and l k,n = cn, ν N, kh krh kr As noted previously, Lemma proves that lim g β k,n, gν N k,n =.

15 Pauli Approximations to the Aharonov-Bohm Hamiltonian 5 Now, where and l k,n, l k,n = r dr r dr β + βgk,n,, g k,n, r, g k,n,, r cn, ν N, kh krh kr 3.67 = l + l l 3 l l β = + βgk,n, r dr r dr g, k,n, r, gk,n,, r, 3.69 l = cn, ν N, k r dr r dr H krh kr, 3.7 l 3 = β + βgk,n,, cn, ν N, k r dr r dr gk,n, r, g k,n,, r H krh kr 3.7 For small, β + βg k,n,, α ν N + α c k. 3.7 Then r dr r dr g k,n, r, gk,n,, r = A N, k 4 { [ ] [ ] } H k 4 r dr J N kr + J N k 4 r dr H k π 4 The first term is bounded by β [ π 4 J N k 4 + βgk,n,, 6 A N, k ε, while for small 4α 4 N + r dr H k ] 3.74 π 4 k Γ 4 ν N + α c k H kr, 4 = cn, ν N, k H kr, 4. Then l l as by dominated convergence.

16 Pauli Approximations to the Aharonov-Bohm Hamiltonian 6 For l 3 we have r dr r dr gk,n,r, gk,n,, r H krh kr = 3.75 [ { = iπ A N, k + J N k H k r drj N krh kr + r dr H kr }] The first term in the bracket goes to iπ A N, kj Nk iγ απn + r dr H kr iπ αγ k, while for small, k H kr, Then l 3 l as by dominated convergence, which completes the proof. 4 Approximation by Smooth Flux Tube In Section 3, A = α k r Θr so that B is concentrated on a cylindrical shell. Now r we replace the Θ-function by a smooth step function which approximates the Θ-function as. Let a : be a differentiable function with ar = for r and ar = for r r, where r >. Furthermore, let a be such that the function br = d ar is r dr bounded in absolute value i.e. there exists b such that br b. Then br has support only in, r, and 5 br r dr =. We take  = α k r so that k ˆB r = 5 α b. Let r r a 5 4. Ĥ = i +  + β α k ˆB. 4. β here depends on α and. Motivated by the result of Section 3 we shall consider two cases: a βα, α, α ν N b βα, α N + N + α ν N+. The component of the operator Ĥ on the space with angular momentum m are ĥ m, = r r r r + m α a r r 5 + β 5 b r

17 Pauli Approximations to the Aharonov-Bohm Hamiltonian 7 We shall prove convergence in the norm resolvent sense of the operators ĥm,, and hence of Ĥ. We can rewrite the last equation as ĥ m, = r r r m αθr + + β r r 5 r V m r where V m r = r br + 4 { mαar Θr + α a r Θr }. 4.5 βr 4 + We note that V m r has support only in, r, and that â m r := mαar Θr + α a r Θr mk 4.6 where K is a constant independent of m and. Define the auxiliary operators h m, = r r r r + m αθr 4 r V m is form compact Note 4, Appendix with respect to r r r m αθr +, r r + 5 β r V m r so the form sum 4.7 is well-defined. From Thm. B.b of [7], the resolvent of h m, for k ρ h m, and Ik >, is given by [ h m, k ] = g k, m, 5 βg k, m, ṽm[ + β B m, k] ũ m g k, m, 4.8 where ṽ m r = r V m r 4, ũm r = r V m r 4 sgn [ V m r 4 ] 4.9 and B m, k = 5 ũ m g k, m, ṽ m ; Ik >. 4. B m, extends to a Hilbert-Schmidt operator Note 4, Appendix. Introducing the unitary scaling group U gr = 5 g r 5, we get Then, noting that ĥ m, = U h m, U. 4. U g k, m, U = g k/ 5,m, 4.

18 Pauli Approximations to the Aharonov-Bohm Hamiltonian 8 and taking the translation r r + 4, we obtain [ĥm, k ] = [ ] U h m, U k = U [ hm, 5 k ] U = U [ g 5 k, m, 5 βg 5 k, m, ṽm[ + β B m, 5 k] ũ m g 5 k, m, ] U 4.3 for k ρĥ and Ik >. For Ik >, define Hilbert-Schmidt operators A m,k, B m, k and C m, k, with integral kernels: A m, k, r, r = g k, m, r, + 4 r ˆv m r ; 4.4 B m, k, r, r = û m rg k, m, + 4 r, + 4 r ˆv m r 4.5 C m, k, r, r = û m rg k, m, + 4 r, r 4.6 where Then 4.3 becomes ˆv m r = V m r r and û m r = V m r r sgn[vm r]. 4.7 [ĥm, k ] = gk, m, βa m,k[ + βb m, k] C m, k 4.8 for k ρh ε, m, and Ik >. Using this representation we can prove the following result. Theorem. Let Ĥ = ĥ m,. 4.9 m= Then Ĥ converges, as, to one of the self-adjoint extensions H ν of the A-B Hamiltonian only if either βα, + α I ν N or βα, α + N + II ν N+. In case I Ĥ converges in the norm resolvent sense, as, to H ν N,, and in case II to H, νn+. The proof of this theorem is fairly standard but by no means trivial. Because again we require uniform convergence in m we need to control the m-behaviour and this makes the proof very lengthy. We therefore we do not give the proof here but only state the two lemmas required in the case when Condition I holds. Once we have these two lemmas, the proof is similar to that of Theorem. and the result follows from them.

19 Pauli Approximations to the Aharonov-Bohm Hamiltonian 9 We have already proved that g k, m, g k,m in norm. Let vr = br ; ur = br sgn[br]. 4. Lemma 3: If condition I holds, then a for m < and m > N, the operators A m, k, C m, k in norm; b for m =,..., N, the operators A m, k, C m, k in norm; c for m = N, A m, k A N k and C m, k C N k in norm, where A N k, r, r = c N kh krvr and C N k, r, r = c N kurh kr. Lemma 4: If condition I holds, then a for m < and m > N, βα, B m, k independent of m and ; C α, where C is a constant m α + m b for m =,..., N, [ + βα, B m, ] v, u in norm as, where κ m α m =,..., N ; ν N κ m = α c N k 4. m = N. cn, ν N, k 5 Other Approximations As mentioned in the Introduction, there are two other very natural approximations. These were investigated also in [3, 4]. Case is when the magnetic field inside the cylinder of radius is homogeneous, that is, Here k B = α Θ r. A = α k r, r < α k r r, r >. 5. Case is when the magnetic field is proportional to inside the cylinder: r α k r r, r < A = α k r, r >. r 5.

20 Pauli Approximations to the Aharonov-Bohm Hamiltonian In this case k B = α Θ r. r Let σ = + N, in case M, + N, α + N, in case, M, + N, α where Ma, b, z is Kummer s function. Let η be a solution of the equation 5.3 η = in case and of the equation η = + NMη, + N, α, 5.4 αmη +, 3 + N, α 3 + NMη, 3 + N, α, 5.5 αmη +, 4 + N, α in case. Note that both these equations have an infinite number of solutions. Let φ k, m, r, r = g β k, m, r, r g k, m r, r where g β k, m, r, r is the resolvent of the approximating Hamiltonian in each case and g k, m r, r is as in.4. The following are the only cases which give non-trivial results: I if β α σ α ν N as, then φ k, m, r, r approaches. a non-zero limit for m = N, corresponding to the self-adjoint extension h N,νN ;. zero limit for m = N +, corresponding to the regular self-adjoint extension h N+, ; 3. zero limit for m N, N +, corresponding to the self-adjoint operators h m. II if β αη η η ν N+ as, then φ k, m, r, r approaches. a non-zero limit for m = N +, corresponding to the self-adjoint extension h N+,νN+ ;. zero limit for m = N, corresponding to the regular self-adjoint extension h N, ; 3. zero limit for m N, N +, as before. Acknowledgement: One of the authors J.L.B. would like to thank the University of Malta Staff Development Fund for financial support during the course of this work.

21 Pauli Approximations to the Aharonov-Bohm Hamiltonian 6 Appendix Note : The Bessel functions of the first and third kind have the following limiting and asymptotic properties [8]:. for small z,. for large z, J ν z H ν z ν Γν + ν,, 3, z ν π ν > 6. z iγν J ν z = { cosz νπ πz π } 4 + e Iz O z arg z < π 6.3 H ν z = Two linearly independent solutions of r are J ν kr and H ν kr. νπ πz eiz π 4 π < arg z < π 6.4 r r r + ν r φ k r = k φ k r 6.5 In the given case, the only solution for r < which lies in Dh m, is J m kr, while for r > the only solution is H m α kr. Note : To obtain the Green s function, consider two solutions of equation 6.5, one of which is regular at r = and irregular at r =, while the other is irregular at r = and regular at r =. Consider { J m kr r < φ,m,k r = A m kj m α kr + B m kh m α kr r > 6.6 { A m, φ,m,k r = kj m kr + B m, kh m kr r < H m α kr r > 6.7 where the constants A m, k, A m, k, B m, k and B m, k are chosen so that the boundary conditions φ m,k + = φ m,k and φ m,k + = φ m,k are satisfied note that the second boundary condition is the one imposed to obtain the regular self-adjoint extension i.e. the one with β =.

22 Pauli Approximations to the Aharonov-Bohm Hamiltonian Then g k, m, r, r = cφ,m,k r < φ,m,k r >, where r < = min{r, r } and r > = max{r, r }. The constant c is determined by considering the boundary condition at r = r : g k, m, r lim r=r r r gk, m, r, r lim r r r gk, m, r, r = 6.8 r r Then we obtain iπ gk, m, r, r B = kφ,m,kr < φ,m,k r > m, iπ A kφ,m,kr < φ,m,k r > m, r, r r, r 6.9 Note that the boundary conditions imply that lim A m, k B m, k =. 6. Note 3: Cfr. Thm I.3.. of [7] The general structure of equation 3.4 follows from Krein s formula. To verify the constant in the second term, define for g L,, r dr and Ik >, f β r = h m, k g β r + βgk, m,, = g k, m,,, g g k, m, r, 6. dr r gk, m, r, r gr β + βgk, m,, Then f β H, loc, \ {}, r dr H,,, r dr and f β+ f β = dr r g k, m, r, g k, m,, r gr. 6. β/ + βgk, m,, dr r g k, m,, r gr = β f β 6.3 This means that f β Dh β m,. Furthermore, for Ik > which proves equation 3.4. h β m, k f β = gr, r, \ {} 6.4 Note 4: To show that B extends to a Hilbert-Schmidt operator, we need to show that cfr. [7] p.8 dr dr V r gk, m, r, r V r <, Ik >. 6.5 [, ] [, ]

23 Pauli Approximations to the Aharonov-Bohm Hamiltonian 3 This follows by considering the behaviour of the Bessel functions for small and large arguments, as discussed in Note. From the previous estimate we obtain V r r / r r r / m αθr + + E B r r L,, r dr, E > Appendix In this section we shall derive bounds for expressions involving the Bessel functions J ν z and H ν z. First we shall obtain upper bounds for J ν z. If ν, then it follows [] from Poisson s integral that J ν z z ν Γν + e Iz. 7. For ν <, the following series expansion [8], which is valid for all z and ν, is used: z ν J ν z = z k 4 7. k!γν + k + k= z ν = Γν + + z k Γν + k!γν + k + k= Γν + For ν,, 3,..., Γν + k + ν +, where ν k + = min{ ν +, ν +, ν + 3,...}. Thus we obtain: z ν J ν z Γν + e 4 z ν +, ν,, 3, Next we obtain lower bounds for J ν z. Using the series expansion 7., and the same argument used for 7.4, we obtain z ν 4 z ν J ν z e +, ν,, 3, Γν + The above bounds imply that, given any ε >, there exists z such that, for any ν, if z < z then z ν J ν z + ε; 7.6 Γν + z ν and J ν z ε. 7.7 Γν +

24 Pauli Approximations to the Aharonov-Bohm Hamiltonian 4 If ν is a negative integer, upper and lower bounds may be deduced using J ν z = ν J ν z. 7.8 Upper and lower bounds for expressions involving the derivatives of J ν z may be deduced from the recurrence relation: J ν z = J ν+z + ν z J νz. 7.9 Now we turn to bounds for H ν z. These are obtained using the following relation H ν z = i cscνπ{e νπi J ν z J ν z}. 7. Note that we are only interested in the case ν. Thus, when ν > and ν / Z: H ν Γν z z ν 4 e Γ ν ν + + z ν, π Γ + ν 7. H ν Γν z z ν 4 e Γ ν ν + z ν. π Γ + ν 7. Here ν + = min{ ν +, ν +, ν + 3,..., ν +, ν +, ν + 3,...}. For ν Z +, we use the relation: H n z = J nz + iy n z 7.3 where Y n z is the Bessel function of the second kind with series expansion: z n n Y n z = n k! z k + z π k! 4 π ln J n z k= z n k ψk + + ψn + k + z, n 7.4 π k!n + k! 4 k= with the Digamma function ψn = Γ n Γn where γ is Euler s constant. Noting that n k! Γn and following bounds: given by: ψ = γ, ψn = γ + Y n z Γn π Y n z Γn π n k= k ψk + + ψn + k + n + k! n, 7.5 Γn for n, we get the z { n e 4 z + z n + Γn + ln z } e Iz 4 z n 7.6 Γn + z { n e z 4 z n e 4 z Γn ln z z } n e Iz n. 7.7 ΓnΓn +

25 Pauli Approximations to the Aharonov-Bohm Hamiltonian 5 The corresponding inequalities for H n H n H n z are: z Γn z { n e 4 z + z n + π Γn ln z + + π } Γn + e Iz 4 z, n 7.8 Γn z z { n e z 4 z n e 4 z π Γn ln z + π z } n e Iz n. 7.9 ΓnΓn + The above bounds imply that, given any ε >, there exists z such that, for any ν >, if z < z then H ν Γν z z ν + ε; 7. π and H ν z Γν z ν ε. 7. π For n =, we use the following series expansion for Y z: Y z = { z } ln + γ J z 7. π { + z π 4 + z 4 +! + z } ! Noting that n!, we find that the term in the second bracket of 7. is n bounded in absolute value by e 4 z. Hence we get the following bounds for Y z: { } Y z π ln z J z + J z e 4 z ln + γ + ; 7.3 ln z ln z { } Y z π ln z J z J z e 4 z ln + γ. 7.4 ln z ln z Then, using 7.4 and 7.5 for the case ν =, we obtain the corresponding bounds for H z: { } H z π ln z e 4 z + ln + γ + π + e 4 z ; 7.5 ln z ln z H z π ln z { e 4 z e 4 z ln z ln + γ + π e 4 z ln z }. 7.6 Now, for fixed argz, we know that ln z ln z, and that for any ε >, ln z ln z + ε if z is small enough. This implies that for any ε >, there exists z such that, if z < z, then: H z ln z + ε; 7.7 π H z ln z ε. 7.8 π

26 Pauli Approximations to the Aharonov-Bohm Hamiltonian 6 Next we obtain bounds for the Wronskians that appear in the expressions for the constants A m, k, A m, k, B m, k, and B m, k which are defined in Note of Appendix. Using 7.9 and 7., we can write W [H ν z, J ν z] = H ν zj ν z H ν zj ν z 7.9 i = {e νπi J ν z J ν z}j ν sinνπ z {e νπi J νz J νz}j ν z i = ν + ν J ν zj ν z + J ν sinνπ z +zj ν z { ν J ν zj ν+ z + e iπν ν J ν zj ν z z J ν +zj ν z + J ν zj ν+ z}. 7.3 From the bounds derived above, we obtain W [H ν z, J ν z] ν + νγν z πγν + for ν, ν >, ν / Z. e Iz ν + ν { ν ν e 4 z ν + e 4 z ν + e 4 z ν + z + e 4 z ν + z + ν + ν e Iz z ν + ν Γν + Γ ν e Iz + z ν+ + Γν + Γ ν e Iz ν + Γν + z ν ν+}, 7.3 π Since Γ ν = sinπνγν, then for any ε > there exist z and ν such that for z < z and ν, ν > ν, W [H ν z, J ν z] ν + νγν z ν ν ε. 7.3 πγν + Using a similar argument to that used in 7.3, as well as the relation we can write W [H ν z, H n H ν z = H ν+ z + ν z H ν z, 7.33 z] = H = ν i sinνπ zh n J ν zh n z H z 7.34 J ν zh n+z n + ν J ν zh n z z { n ν z + e iπν J ν zh n z z ν zh n } J ν zh n+z + J ν+ zh n z. 7.35

27 Pauli Approximations to the Aharonov-Bohm Hamiltonian 7 Let n Z +, ν >, and ν / Z. Using the relation H n+ z = n z H n z H n z, and the bounds in 7.4 and 7., one can see that for any ε > there exist z and n such that for z < z and ν, n > n, J νz H n+ z n + ν H n z z ν n Γn z n ν + ε ; π Γ ν J ν zh n z Γn z n ν+ + ε ; 7.36 π Γ ν n ν J ν zh n z z n ν Γn z n+ν + ε ; 7.37 πγν + J ν zh n+ z Γn + z n+ν + ε ; 7.38 πγν + Jν+ zh n z Γn z n+ν+ + ε πγν + The above results imply that for z < z and ν, n > n, W [H ν z, H n ΓnΓν z n ν + z ν n ν Γ ν + z ν n Γ ν + z ν Γν + ν n Γν + Γ ν + z ν+ + ε 7.4 ν n Γν + z] ν n π From this we deduce that for any ε > there exist z and n such that for z < z and ν, n > n, W [H ν Using 7.9, we obtain z, H n z] ν n π ΓnΓν z n ν + ε 7.4 W [J n z, J ν z] = J n zj ν z J n zj νz 7.4 = ν n J n zj ν z J n zj ν+ z + J n+ zj ν z. z 7.43 Then, for n Z +, and ν, ν n e Iz W [J n z, J ν z] z { n+ν + Γn + Γν + n ν + + n + z } In the case n = m, ν = m α, for any ε 4 > there exist z 4 and n 4 such that for z < z 4 and ν, n > n 4, ν n W [J n z, J ν z] z n+ν { + ε 4 } 7.45 Γn + Γν +

28 Pauli Approximations to the Aharonov-Bohm Hamiltonian 8 eferences [] L. D abrowski and P. S toví cek, J. Math. Phys. 39, []. Adami and A. Teta, Lett. Math. Phys. 43, [3] M. Bordag and S. Voropaev, J. Phys. A 6, [4] A. Moroz, Phys. ev. A 53, [5] H. Tamura, ev. Math. Phys. 3, [6] C.. Hagen, Phys. ev. Lett. 64, [7] S. Albeverio, F. Gesztesy,. Hoegh-Krohn and H. Holden: Solvable Models in Quantum Mechanics, Springer-Verlag, Heidelberg 988. [8] M. Abramowitz and I.A. Stegun: Handbook of Mathematical Functions, Dover Publications, New York 965. [9] I.S. Gradshteyn and I.M. yzhik: Table of Integrals, Series and Products, Academic Press, New York 965. [] G.N. Watson: A Treatise on the Theory of Bessel Functions, Cambridge University Press, London 944.

Metric Spaces. Chapter 7. 7.1. Metrics

Metric Spaces. Chapter 7. 7.1. Metrics Chapter 7 Metric Spaces A metric space is a set X that has a notion of the distance d(x, y) between every pair of points x, y X. The purpose of this chapter is to introduce metric spaces and give some

More information

MATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.

MATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1. MATH10212 Linear Algebra Textbook: D. Poole, Linear Algebra: A Modern Introduction. Thompson, 2006. ISBN 0-534-40596-7. Systems of Linear Equations Definition. An n-dimensional vector is a row or a column

More information

BANACH AND HILBERT SPACE REVIEW

BANACH AND HILBERT SPACE REVIEW BANACH AND HILBET SPACE EVIEW CHISTOPHE HEIL These notes will briefly review some basic concepts related to the theory of Banach and Hilbert spaces. We are not trying to give a complete development, but

More information

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights

More information

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)!

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)! Math 7 Fall 205 HOMEWORK 5 SOLUTIONS Problem. 2008 B2 Let F 0 x = ln x. For n 0 and x > 0, let F n+ x = 0 F ntdt. Evaluate n!f n lim n ln n. By directly computing F n x for small n s, we obtain the following

More information

Dynamics at the Horsetooth, Volume 2A, Focussed Issue: Asymptotics and Perturbations

Dynamics at the Horsetooth, Volume 2A, Focussed Issue: Asymptotics and Perturbations Dynamics at the Horsetooth, Volume A, Focussed Issue: Asymptotics and Perturbations Asymptotic Expansion of Bessel Functions; Applications to Electromagnetics Department of Electrical Engineering Colorado

More information

NOTES ON LINEAR TRANSFORMATIONS

NOTES ON LINEAR TRANSFORMATIONS NOTES ON LINEAR TRANSFORMATIONS Definition 1. Let V and W be vector spaces. A function T : V W is a linear transformation from V to W if the following two properties hold. i T v + v = T v + T v for all

More information

Constant Elasticity of Variance (CEV) Option Pricing Model:Integration and Detailed Derivation

Constant Elasticity of Variance (CEV) Option Pricing Model:Integration and Detailed Derivation Constant Elasticity of Variance (CEV) Option Pricing Model:Integration and Detailed Derivation Ying-Lin Hsu Department of Applied Mathematics National Chung Hsing University Co-authors: T. I. Lin and C.

More information

IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL. 1. Introduction

IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL. 1. Introduction IRREDUCIBLE OPERATOR SEMIGROUPS SUCH THAT AB AND BA ARE PROPORTIONAL R. DRNOVŠEK, T. KOŠIR Dedicated to Prof. Heydar Radjavi on the occasion of his seventieth birthday. Abstract. Let S be an irreducible

More information

0 <β 1 let u(x) u(y) kuk u := sup u(x) and [u] β := sup

0 <β 1 let u(x) u(y) kuk u := sup u(x) and [u] β := sup 456 BRUCE K. DRIVER 24. Hölder Spaces Notation 24.1. Let Ω be an open subset of R d,bc(ω) and BC( Ω) be the bounded continuous functions on Ω and Ω respectively. By identifying f BC( Ω) with f Ω BC(Ω),

More information

Example 4.1 (nonlinear pendulum dynamics with friction) Figure 4.1: Pendulum. asin. k, a, and b. We study stability of the origin x

Example 4.1 (nonlinear pendulum dynamics with friction) Figure 4.1: Pendulum. asin. k, a, and b. We study stability of the origin x Lecture 4. LaSalle s Invariance Principle We begin with a motivating eample. Eample 4.1 (nonlinear pendulum dynamics with friction) Figure 4.1: Pendulum Dynamics of a pendulum with friction can be written

More information

4.5 Linear Dependence and Linear Independence

4.5 Linear Dependence and Linear Independence 4.5 Linear Dependence and Linear Independence 267 32. {v 1, v 2 }, where v 1, v 2 are collinear vectors in R 3. 33. Prove that if S and S are subsets of a vector space V such that S is a subset of S, then

More information

Reference: Introduction to Partial Differential Equations by G. Folland, 1995, Chap. 3.

Reference: Introduction to Partial Differential Equations by G. Folland, 1995, Chap. 3. 5 Potential Theory Reference: Introduction to Partial Differential Equations by G. Folland, 995, Chap. 3. 5. Problems of Interest. In what follows, we consider Ω an open, bounded subset of R n with C 2

More information

Mathematics Course 111: Algebra I Part IV: Vector Spaces

Mathematics Course 111: Algebra I Part IV: Vector Spaces Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are

More information

Section 6.1 - Inner Products and Norms

Section 6.1 - Inner Products and Norms Section 6.1 - Inner Products and Norms Definition. Let V be a vector space over F {R, C}. An inner product on V is a function that assigns, to every ordered pair of vectors x and y in V, a scalar in F,

More information

Math 319 Problem Set #3 Solution 21 February 2002

Math 319 Problem Set #3 Solution 21 February 2002 Math 319 Problem Set #3 Solution 21 February 2002 1. ( 2.1, problem 15) Find integers a 1, a 2, a 3, a 4, a 5 such that every integer x satisfies at least one of the congruences x a 1 (mod 2), x a 2 (mod

More information

How To Prove The Dirichlet Unit Theorem

How To Prove The Dirichlet Unit Theorem Chapter 6 The Dirichlet Unit Theorem As usual, we will be working in the ring B of algebraic integers of a number field L. Two factorizations of an element of B are regarded as essentially the same if

More information

About the Gamma Function

About the Gamma Function About the Gamma Function Notes for Honors Calculus II, Originally Prepared in Spring 995 Basic Facts about the Gamma Function The Gamma function is defined by the improper integral Γ) = The integral is

More information

Every Positive Integer is the Sum of Four Squares! (and other exciting problems)

Every Positive Integer is the Sum of Four Squares! (and other exciting problems) Every Positive Integer is the Sum of Four Squares! (and other exciting problems) Sophex University of Texas at Austin October 18th, 00 Matilde N. Lalín 1. Lagrange s Theorem Theorem 1 Every positive integer

More information

An Introduction to Partial Differential Equations in the Undergraduate Curriculum

An Introduction to Partial Differential Equations in the Undergraduate Curriculum An Introduction to Partial Differential Equations in the Undergraduate Curriculum J. Tolosa & M. Vajiac LECTURE 11 Laplace s Equation in a Disk 11.1. Outline of Lecture The Laplacian in Polar Coordinates

More information

So let us begin our quest to find the holy grail of real analysis.

So let us begin our quest to find the holy grail of real analysis. 1 Section 5.2 The Complete Ordered Field: Purpose of Section We present an axiomatic description of the real numbers as a complete ordered field. The axioms which describe the arithmetic of the real numbers

More information

FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES

FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES CHRISTOPHER HEIL 1. Cosets and the Quotient Space Any vector space is an abelian group under the operation of vector addition. So, if you are have studied

More information

1 if 1 x 0 1 if 0 x 1

1 if 1 x 0 1 if 0 x 1 Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or

More information

Vector and Matrix Norms

Vector and Matrix Norms Chapter 1 Vector and Matrix Norms 11 Vector Spaces Let F be a field (such as the real numbers, R, or complex numbers, C) with elements called scalars A Vector Space, V, over the field F is a non-empty

More information

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 3 Fall 2008 III. Spaces with special properties III.1 : Compact spaces I Problems from Munkres, 26, pp. 170 172 3. Show that a finite union of compact subspaces

More information

Linear Algebra Notes for Marsden and Tromba Vector Calculus

Linear Algebra Notes for Marsden and Tromba Vector Calculus Linear Algebra Notes for Marsden and Tromba Vector Calculus n-dimensional Euclidean Space and Matrices Definition of n space As was learned in Math b, a point in Euclidean three space can be thought of

More information

10.2 Series and Convergence

10.2 Series and Convergence 10.2 Series and Convergence Write sums using sigma notation Find the partial sums of series and determine convergence or divergence of infinite series Find the N th partial sums of geometric series and

More information

OPTIMAL CONTROL OF A COMMERCIAL LOAN REPAYMENT PLAN. E.V. Grigorieva. E.N. Khailov

OPTIMAL CONTROL OF A COMMERCIAL LOAN REPAYMENT PLAN. E.V. Grigorieva. E.N. Khailov DISCRETE AND CONTINUOUS Website: http://aimsciences.org DYNAMICAL SYSTEMS Supplement Volume 2005 pp. 345 354 OPTIMAL CONTROL OF A COMMERCIAL LOAN REPAYMENT PLAN E.V. Grigorieva Department of Mathematics

More information

9.2 Summation Notation

9.2 Summation Notation 9. Summation Notation 66 9. Summation Notation In the previous section, we introduced sequences and now we shall present notation and theorems concerning the sum of terms of a sequence. We begin with a

More information

Prime Numbers and Irreducible Polynomials

Prime Numbers and Irreducible Polynomials Prime Numbers and Irreducible Polynomials M. Ram Murty The similarity between prime numbers and irreducible polynomials has been a dominant theme in the development of number theory and algebraic geometry.

More information

Quotient Rings and Field Extensions

Quotient Rings and Field Extensions Chapter 5 Quotient Rings and Field Extensions In this chapter we describe a method for producing field extension of a given field. If F is a field, then a field extension is a field K that contains F.

More information

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS 1. SYSTEMS OF EQUATIONS AND MATRICES 1.1. Representation of a linear system. The general system of m equations in n unknowns can be written a 11 x 1 + a 12 x 2 +

More information

MATH10040 Chapter 2: Prime and relatively prime numbers

MATH10040 Chapter 2: Prime and relatively prime numbers MATH10040 Chapter 2: Prime and relatively prime numbers Recall the basic definition: 1. Prime numbers Definition 1.1. Recall that a positive integer is said to be prime if it has precisely two positive

More information

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS Systems of Equations and Matrices Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a

More information

INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS

INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS STEVEN P. LALLEY AND ANDREW NOBEL Abstract. It is shown that there are no consistent decision rules for the hypothesis testing problem

More information

Lecture 13: Martingales

Lecture 13: Martingales Lecture 13: Martingales 1. Definition of a Martingale 1.1 Filtrations 1.2 Definition of a martingale and its basic properties 1.3 Sums of independent random variables and related models 1.4 Products of

More information

Sample Induction Proofs

Sample Induction Proofs Math 3 Worksheet: Induction Proofs III, Sample Proofs A.J. Hildebrand Sample Induction Proofs Below are model solutions to some of the practice problems on the induction worksheets. The solutions given

More information

x a x 2 (1 + x 2 ) n.

x a x 2 (1 + x 2 ) n. Limits and continuity Suppose that we have a function f : R R. Let a R. We say that f(x) tends to the limit l as x tends to a; lim f(x) = l ; x a if, given any real number ɛ > 0, there exists a real number

More information

Handout #1: Mathematical Reasoning

Handout #1: Mathematical Reasoning Math 101 Rumbos Spring 2010 1 Handout #1: Mathematical Reasoning 1 Propositional Logic A proposition is a mathematical statement that it is either true or false; that is, a statement whose certainty or

More information

Matrix Representations of Linear Transformations and Changes of Coordinates

Matrix Representations of Linear Transformations and Changes of Coordinates Matrix Representations of Linear Transformations and Changes of Coordinates 01 Subspaces and Bases 011 Definitions A subspace V of R n is a subset of R n that contains the zero element and is closed under

More information

3. Mathematical Induction

3. Mathematical Induction 3. MATHEMATICAL INDUCTION 83 3. Mathematical Induction 3.1. First Principle of Mathematical Induction. Let P (n) be a predicate with domain of discourse (over) the natural numbers N = {0, 1,,...}. If (1)

More information

CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e.

CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. This chapter contains the beginnings of the most important, and probably the most subtle, notion in mathematical analysis, i.e.,

More information

1. Prove that the empty set is a subset of every set.

1. Prove that the empty set is a subset of every set. 1. Prove that the empty set is a subset of every set. Basic Topology Written by Men-Gen Tsai email: b89902089@ntu.edu.tw Proof: For any element x of the empty set, x is also an element of every set since

More information

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform MATH 433/533, Fourier Analysis Section 11, The Discrete Fourier Transform Now, instead of considering functions defined on a continuous domain, like the interval [, 1) or the whole real line R, we wish

More information

Adaptive Online Gradient Descent

Adaptive Online Gradient Descent Adaptive Online Gradient Descent Peter L Bartlett Division of Computer Science Department of Statistics UC Berkeley Berkeley, CA 94709 bartlett@csberkeleyedu Elad Hazan IBM Almaden Research Center 650

More information

THE COMPLEX EXPONENTIAL FUNCTION

THE COMPLEX EXPONENTIAL FUNCTION Math 307 THE COMPLEX EXPONENTIAL FUNCTION (These notes assume you are already familiar with the basic properties of complex numbers.) We make the following definition e iθ = cos θ + i sin θ. (1) This formula

More information

Maximum Hitting Time for Random Walks on Graphs. Graham Brightwell, Cambridge University Peter Winkler*, Emory University

Maximum Hitting Time for Random Walks on Graphs. Graham Brightwell, Cambridge University Peter Winkler*, Emory University Maximum Hitting Time for Random Walks on Graphs Graham Brightwell, Cambridge University Peter Winkler*, Emory University Abstract. For x and y vertices of a connected graph G, let T G (x, y denote the

More information

1 Norms and Vector Spaces

1 Norms and Vector Spaces 008.10.07.01 1 Norms and Vector Spaces Suppose we have a complex vector space V. A norm is a function f : V R which satisfies (i) f(x) 0 for all x V (ii) f(x + y) f(x) + f(y) for all x,y V (iii) f(λx)

More information

Name: Section Registered In:

Name: Section Registered In: Name: Section Registered In: Math 125 Exam 3 Version 1 April 24, 2006 60 total points possible 1. (5pts) Use Cramer s Rule to solve 3x + 4y = 30 x 2y = 8. Be sure to show enough detail that shows you are

More information

An example of a computable

An example of a computable An example of a computable absolutely normal number Verónica Becher Santiago Figueira Abstract The first example of an absolutely normal number was given by Sierpinski in 96, twenty years before the concept

More information

SUM OF TWO SQUARES JAHNAVI BHASKAR

SUM OF TWO SQUARES JAHNAVI BHASKAR SUM OF TWO SQUARES JAHNAVI BHASKAR Abstract. I will investigate which numbers can be written as the sum of two squares and in how many ways, providing enough basic number theory so even the unacquainted

More information

n k=1 k=0 1/k! = e. Example 6.4. The series 1/k 2 converges in R. Indeed, if s n = n then k=1 1/k, then s 2n s n = 1 n + 1 +...

n k=1 k=0 1/k! = e. Example 6.4. The series 1/k 2 converges in R. Indeed, if s n = n then k=1 1/k, then s 2n s n = 1 n + 1 +... 6 Series We call a normed space (X, ) a Banach space provided that every Cauchy sequence (x n ) in X converges. For example, R with the norm = is an example of Banach space. Now let (x n ) be a sequence

More information

THE BANACH CONTRACTION PRINCIPLE. Contents

THE BANACH CONTRACTION PRINCIPLE. Contents THE BANACH CONTRACTION PRINCIPLE ALEX PONIECKI Abstract. This paper will study contractions of metric spaces. To do this, we will mainly use tools from topology. We will give some examples of contractions,

More information

Set theory as a foundation for mathematics

Set theory as a foundation for mathematics V I I I : Set theory as a foundation for mathematics This material is basically supplementary, and it was not covered in the course. In the first section we discuss the basic axioms of set theory and the

More information

Shape Optimization Problems over Classes of Convex Domains

Shape Optimization Problems over Classes of Convex Domains Shape Optimization Problems over Classes of Convex Domains Giuseppe BUTTAZZO Dipartimento di Matematica Via Buonarroti, 2 56127 PISA ITALY e-mail: buttazzo@sab.sns.it Paolo GUASONI Scuola Normale Superiore

More information

MATH 425, PRACTICE FINAL EXAM SOLUTIONS.

MATH 425, PRACTICE FINAL EXAM SOLUTIONS. MATH 45, PRACTICE FINAL EXAM SOLUTIONS. Exercise. a Is the operator L defined on smooth functions of x, y by L u := u xx + cosu linear? b Does the answer change if we replace the operator L by the operator

More information

Probability Generating Functions

Probability Generating Functions page 39 Chapter 3 Probability Generating Functions 3 Preamble: Generating Functions Generating functions are widely used in mathematics, and play an important role in probability theory Consider a sequence

More information

Mathematical Methods of Engineering Analysis

Mathematical Methods of Engineering Analysis Mathematical Methods of Engineering Analysis Erhan Çinlar Robert J. Vanderbei February 2, 2000 Contents Sets and Functions 1 1 Sets................................... 1 Subsets.............................

More information

LS.6 Solution Matrices

LS.6 Solution Matrices LS.6 Solution Matrices In the literature, solutions to linear systems often are expressed using square matrices rather than vectors. You need to get used to the terminology. As before, we state the definitions

More information

Representation of functions as power series

Representation of functions as power series Representation of functions as power series Dr. Philippe B. Laval Kennesaw State University November 9, 008 Abstract This document is a summary of the theory and techniques used to represent functions

More information

I. GROUPS: BASIC DEFINITIONS AND EXAMPLES

I. GROUPS: BASIC DEFINITIONS AND EXAMPLES I GROUPS: BASIC DEFINITIONS AND EXAMPLES Definition 1: An operation on a set G is a function : G G G Definition 2: A group is a set G which is equipped with an operation and a special element e G, called

More information

Increasing for all. Convex for all. ( ) Increasing for all (remember that the log function is only defined for ). ( ) Concave for all.

Increasing for all. Convex for all. ( ) Increasing for all (remember that the log function is only defined for ). ( ) Concave for all. 1. Differentiation The first derivative of a function measures by how much changes in reaction to an infinitesimal shift in its argument. The largest the derivative (in absolute value), the faster is evolving.

More information

11 Ideals. 11.1 Revisiting Z

11 Ideals. 11.1 Revisiting Z 11 Ideals The presentation here is somewhat different than the text. In particular, the sections do not match up. We have seen issues with the failure of unique factorization already, e.g., Z[ 5] = O Q(

More information

Factorization Theorems

Factorization Theorems Chapter 7 Factorization Theorems This chapter highlights a few of the many factorization theorems for matrices While some factorization results are relatively direct, others are iterative While some factorization

More information

1 Homework 1. [p 0 q i+j +... + p i 1 q j+1 ] + [p i q j ] + [p i+1 q j 1 +... + p i+j q 0 ]

1 Homework 1. [p 0 q i+j +... + p i 1 q j+1 ] + [p i q j ] + [p i+1 q j 1 +... + p i+j q 0 ] 1 Homework 1 (1) Prove the ideal (3,x) is a maximal ideal in Z[x]. SOLUTION: Suppose we expand this ideal by including another generator polynomial, P / (3, x). Write P = n + x Q with n an integer not

More information

Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation

Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation Differential Relations for Fluid Flow In this approach, we apply our four basic conservation laws to an infinitesimally small control volume. The differential approach provides point by point details of

More information

Piecewise Cubic Splines

Piecewise Cubic Splines 280 CHAP. 5 CURVE FITTING Piecewise Cubic Splines The fitting of a polynomial curve to a set of data points has applications in CAD (computer-assisted design), CAM (computer-assisted manufacturing), and

More information

1 Sets and Set Notation.

1 Sets and Set Notation. LINEAR ALGEBRA MATH 27.6 SPRING 23 (COHEN) LECTURE NOTES Sets and Set Notation. Definition (Naive Definition of a Set). A set is any collection of objects, called the elements of that set. We will most

More information

Lies My Calculator and Computer Told Me

Lies My Calculator and Computer Told Me Lies My Calculator and Computer Told Me 2 LIES MY CALCULATOR AND COMPUTER TOLD ME Lies My Calculator and Computer Told Me See Section.4 for a discussion of graphing calculators and computers with graphing

More information

GROUPS WITH TWO EXTREME CHARACTER DEGREES AND THEIR NORMAL SUBGROUPS

GROUPS WITH TWO EXTREME CHARACTER DEGREES AND THEIR NORMAL SUBGROUPS GROUPS WITH TWO EXTREME CHARACTER DEGREES AND THEIR NORMAL SUBGROUPS GUSTAVO A. FERNÁNDEZ-ALCOBER AND ALEXANDER MORETÓ Abstract. We study the finite groups G for which the set cd(g) of irreducible complex

More information

Exam 1 Practice Problems Solutions

Exam 1 Practice Problems Solutions MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Physics 8 Spring 13 Exam 1 Practice Problems Solutions Part I: Short Questions and Concept Questions Problem 1: Spark Plug Pictured at right is a typical

More information

Solutions to Math 51 First Exam January 29, 2015

Solutions to Math 51 First Exam January 29, 2015 Solutions to Math 5 First Exam January 29, 25. ( points) (a) Complete the following sentence: A set of vectors {v,..., v k } is defined to be linearly dependent if (2 points) there exist c,... c k R, not

More information

1 The Brownian bridge construction

1 The Brownian bridge construction The Brownian bridge construction The Brownian bridge construction is a way to build a Brownian motion path by successively adding finer scale detail. This construction leads to a relatively easy proof

More information

1. Let P be the space of all polynomials (of one real variable and with real coefficients) with the norm

1. Let P be the space of all polynomials (of one real variable and with real coefficients) with the norm Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 005-06-15 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

More information

Lecture 7: Finding Lyapunov Functions 1

Lecture 7: Finding Lyapunov Functions 1 Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.243j (Fall 2003): DYNAMICS OF NONLINEAR SYSTEMS by A. Megretski Lecture 7: Finding Lyapunov Functions 1

More information

CONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian. Pasquale Candito and Giuseppina D Aguí

CONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian. Pasquale Candito and Giuseppina D Aguí Opuscula Math. 34 no. 4 2014 683 690 http://dx.doi.org/10.7494/opmath.2014.34.4.683 Opuscula Mathematica CONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian Pasquale

More information

SUBGROUPS OF CYCLIC GROUPS. 1. Introduction In a group G, we denote the (cyclic) group of powers of some g G by

SUBGROUPS OF CYCLIC GROUPS. 1. Introduction In a group G, we denote the (cyclic) group of powers of some g G by SUBGROUPS OF CYCLIC GROUPS KEITH CONRAD 1. Introduction In a group G, we denote the (cyclic) group of powers of some g G by g = {g k : k Z}. If G = g, then G itself is cyclic, with g as a generator. Examples

More information

Duality of linear conic problems

Duality of linear conic problems Duality of linear conic problems Alexander Shapiro and Arkadi Nemirovski Abstract It is well known that the optimal values of a linear programming problem and its dual are equal to each other if at least

More information

On Lexicographic (Dictionary) Preference

On Lexicographic (Dictionary) Preference MICROECONOMICS LECTURE SUPPLEMENTS Hajime Miyazaki File Name: lexico95.usc/lexico99.dok DEPARTMENT OF ECONOMICS OHIO STATE UNIVERSITY Fall 993/994/995 Miyazaki.@osu.edu On Lexicographic (Dictionary) Preference

More information

by the matrix A results in a vector which is a reflection of the given

by the matrix A results in a vector which is a reflection of the given Eigenvalues & Eigenvectors Example Suppose Then So, geometrically, multiplying a vector in by the matrix A results in a vector which is a reflection of the given vector about the y-axis We observe that

More information

Linear Programming Notes V Problem Transformations

Linear Programming Notes V Problem Transformations Linear Programming Notes V Problem Transformations 1 Introduction Any linear programming problem can be rewritten in either of two standard forms. In the first form, the objective is to maximize, the material

More information

160 CHAPTER 4. VECTOR SPACES

160 CHAPTER 4. VECTOR SPACES 160 CHAPTER 4. VECTOR SPACES 4. Rank and Nullity In this section, we look at relationships between the row space, column space, null space of a matrix and its transpose. We will derive fundamental results

More information

3. Reaction Diffusion Equations Consider the following ODE model for population growth

3. Reaction Diffusion Equations Consider the following ODE model for population growth 3. Reaction Diffusion Equations Consider the following ODE model for population growth u t a u t u t, u 0 u 0 where u t denotes the population size at time t, and a u plays the role of the population dependent

More information

Some remarks on Phragmén-Lindelöf theorems for weak solutions of the stationary Schrödinger operator

Some remarks on Phragmén-Lindelöf theorems for weak solutions of the stationary Schrödinger operator Wan Boundary Value Problems (2015) 2015:239 DOI 10.1186/s13661-015-0508-0 R E S E A R C H Open Access Some remarks on Phragmén-Lindelöf theorems for weak solutions of the stationary Schrödinger operator

More information

On the number-theoretic functions ν(n) and Ω(n)

On the number-theoretic functions ν(n) and Ω(n) ACTA ARITHMETICA LXXVIII.1 (1996) On the number-theoretic functions ν(n) and Ω(n) by Jiahai Kan (Nanjing) 1. Introduction. Let d(n) denote the divisor function, ν(n) the number of distinct prime factors,

More information

State of Stress at Point

State of Stress at Point State of Stress at Point Einstein Notation The basic idea of Einstein notation is that a covector and a vector can form a scalar: This is typically written as an explicit sum: According to this convention,

More information

Thesis Title. A. U. Thor. A.A.S., University of Southern Swampland, 1988 M.S., Art Therapy, University of New Mexico, 1991 THESIS

Thesis Title. A. U. Thor. A.A.S., University of Southern Swampland, 1988 M.S., Art Therapy, University of New Mexico, 1991 THESIS Thesis Title by A. U. Thor A.A.S., University of Southern Swampland, 1988 M.S., Art Therapy, University of New Mexico, 1991 THESIS Submitted in Partial Fulllment of the Requirements for the Degree of Master

More information

6. Define log(z) so that π < I log(z) π. Discuss the identities e log(z) = z and log(e w ) = w.

6. Define log(z) so that π < I log(z) π. Discuss the identities e log(z) = z and log(e w ) = w. hapter omplex integration. omplex number quiz. Simplify 3+4i. 2. Simplify 3+4i. 3. Find the cube roots of. 4. Here are some identities for complex conjugate. Which ones need correction? z + w = z + w,

More information

Linear Algebra. A vector space (over R) is an ordered quadruple. such that V is a set; 0 V ; and the following eight axioms hold:

Linear Algebra. A vector space (over R) is an ordered quadruple. such that V is a set; 0 V ; and the following eight axioms hold: Linear Algebra A vector space (over R) is an ordered quadruple (V, 0, α, µ) such that V is a set; 0 V ; and the following eight axioms hold: α : V V V and µ : R V V ; (i) α(α(u, v), w) = α(u, α(v, w)),

More information

Notes on Determinant

Notes on Determinant ENGG2012B Advanced Engineering Mathematics Notes on Determinant Lecturer: Kenneth Shum Lecture 9-18/02/2013 The determinant of a system of linear equations determines whether the solution is unique, without

More information

The Steepest Descent Algorithm for Unconstrained Optimization and a Bisection Line-search Method

The Steepest Descent Algorithm for Unconstrained Optimization and a Bisection Line-search Method The Steepest Descent Algorithm for Unconstrained Optimization and a Bisection Line-search Method Robert M. Freund February, 004 004 Massachusetts Institute of Technology. 1 1 The Algorithm The problem

More information

MICROLOCAL ANALYSIS OF THE BOCHNER-MARTINELLI INTEGRAL

MICROLOCAL ANALYSIS OF THE BOCHNER-MARTINELLI INTEGRAL PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9939(XX)0000-0 MICROLOCAL ANALYSIS OF THE BOCHNER-MARTINELLI INTEGRAL NIKOLAI TARKHANOV AND NIKOLAI VASILEVSKI

More information

sin(x) < x sin(x) x < tan(x) sin(x) x cos(x) 1 < sin(x) sin(x) 1 < 1 cos(x) 1 cos(x) = 1 cos2 (x) 1 + cos(x) = sin2 (x) 1 < x 2

sin(x) < x sin(x) x < tan(x) sin(x) x cos(x) 1 < sin(x) sin(x) 1 < 1 cos(x) 1 cos(x) = 1 cos2 (x) 1 + cos(x) = sin2 (x) 1 < x 2 . Problem Show that using an ɛ δ proof. sin() lim = 0 Solution: One can see that the following inequalities are true for values close to zero, both positive and negative. This in turn implies that On the

More information

Homework until Test #2

Homework until Test #2 MATH31: Number Theory Homework until Test # Philipp BRAUN Section 3.1 page 43, 1. It has been conjectured that there are infinitely many primes of the form n. Exhibit five such primes. Solution. Five such

More information

The Quantum Harmonic Oscillator Stephen Webb

The Quantum Harmonic Oscillator Stephen Webb The Quantum Harmonic Oscillator Stephen Webb The Importance of the Harmonic Oscillator The quantum harmonic oscillator holds a unique importance in quantum mechanics, as it is both one of the few problems

More information

4.3 Lagrange Approximation

4.3 Lagrange Approximation 206 CHAP. 4 INTERPOLATION AND POLYNOMIAL APPROXIMATION Lagrange Polynomial Approximation 4.3 Lagrange Approximation Interpolation means to estimate a missing function value by taking a weighted average

More information

MATH PROBLEMS, WITH SOLUTIONS

MATH PROBLEMS, WITH SOLUTIONS MATH PROBLEMS, WITH SOLUTIONS OVIDIU MUNTEANU These are free online notes that I wrote to assist students that wish to test their math skills with some problems that go beyond the usual curriculum. These

More information

Separation Properties for Locally Convex Cones

Separation Properties for Locally Convex Cones Journal of Convex Analysis Volume 9 (2002), No. 1, 301 307 Separation Properties for Locally Convex Cones Walter Roth Department of Mathematics, Universiti Brunei Darussalam, Gadong BE1410, Brunei Darussalam

More information

16.3 Fredholm Operators

16.3 Fredholm Operators Lectures 16 and 17 16.3 Fredholm Operators A nice way to think about compact operators is to show that set of compact operators is the closure of the set of finite rank operator in operator norm. In this

More information

Some stability results of parameter identification in a jump diffusion model

Some stability results of parameter identification in a jump diffusion model Some stability results of parameter identification in a jump diffusion model D. Düvelmeyer Technische Universität Chemnitz, Fakultät für Mathematik, 09107 Chemnitz, Germany Abstract In this paper we discuss

More information