Metastable states in a model of spin dependent point interactions. claudio cacciapuoti, raffaele carlone, rodolfo figari

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "Metastable states in a model of spin dependent point interactions. claudio cacciapuoti, raffaele carlone, rodolfo figari"

Transcript

1 Metastable states in a model of spin dependent point interactions claudio cacciapuoti, raffaele carlone, rodolfo figari

2 Metastable states in a model of spin dependent point interactions

3 Metastable states in a model of spin dependent point interactions Resonances, metastable states and exponential decay laws in perturbation theory W.Hunzinker Comm.Math.Phys. 132, (1990) Resonance theory for Schrödinger operators O.Costin, A.Soffer Comm.Math.Phys. 224, (2001) La regola d'oro di Fermi P.Facchi, S.Pascazio

4 Metastable states in a model of spin dependent point interactions Spectral analysis for system of atoms and molecules coupled to the quantizied radiation field V.Bach, J.Fröhlich, I.M.Sigal Comm.Math.Phys. 207, (1999) Resonances, metastable states and exponential decay laws in perturbation theory W.Hunzinker Comm.Math.Phys. 132, (1990) Resonance theory for Schrödinger operators O.Costin, A.Soffer Comm.Math.Phys. 224, (2001) La regola d'oro di Fermi P.Facchi, S.Pascazio

5 Metastable states in a model of spin dependent point interactions Spectral analysis for system of atoms and molecules coupled to the quantizied radiation field V.Bach, J.Fröhlich, I.M.Sigal Comm.Math.Phys. 207, (1999) y x Resonances, metastable states and exponential decay laws in perturbation theory W.Hunzinker Comm.Math.Phys. 132, (1990) Resonance theory for Schrödinger operators O.Costin, A.Soffer Comm.Math.Phys. 224, (2001) La regola d'oro di Fermi P.Facchi, S.Pascazio Resonances in twisted quantum waveguides H. Kovarik, A. Sacchetti J. Phys. A: Math. Theor (2007) FIG. 1: The Hilbert space of the system: an effective superbecomes diagonal with respect to H meas, [U(t), H meas ] = 0, an effective superselection rule arises and the total Hilbert space is split into subspaces H Pn that are invariant under the evolution. These subspaces are defined by the P n s, i.e., they are eigenspaces belonging to distinct eigenvalues η n : in other words, subspaces that the apparatus is able to distinguish. On the other hand, due to (22), the dynamics within each Zeno subspace H Pn is governed by the diagonal part P n HP n of the system Hamiltonian H. This bridges the gap with the description (1)-(9) and clarifies the role of the detection apparatus. In Fig. 1 we endeavored to give a pictorial representation of the decomposition of the Hilbert space as K is increased. It is worth noticing that the superselection rules discussed here are de facto equivalent to the celebrated W 3 ones [23], but turn out to be a mere consequence of the Zeno dynamics. Four examples will prove useful. First example: reconsider H 3lev in Eq. (10). As K is increased, the Hilbert Quantum Zeno subspaces P. Facchi, S. Pascazio Phys. Rev. Lett. 89, (2002) 3

6 Metastable states in a model of spin dependent point interactions The analysis of time decay of resonances will proceed as follows: (1) define an unperturbed Hamiltonian Ĥ0 in a way such that the spectrum has one eigenvalue embedded in the continuous spectrum (2) define Hamiltonian sense, of Ĥ0 Ĥ as a self-adjoint perturbation, in some suitable (3) show that the embedded eigenvalue turnes in a resonance (4) estimate the decay times of such a metastable

7 Point Interaction: a very short introduction

8 Point Interaction: a very short introduction (H α k 2 ) 1 = (H k 2 ) 1 4π + 4πα i k (G k( y), )G k ( y) { Being D(H α ) = Ran[(H α k 2 ) 1 ] it is easily seen that { } D(H α ) = ψ L 2 (R 3 ) : ψ = ψ k + qg k ( y); ψ k H 2 (R 3 ), q = 4πψk (y) } 4πα i k, k2 ρ(h α ), k > 0, < α Function ψ k (x) is called regular part and often constant q is referred to as charge. G k (x y) = eik x y 4π x y k > 0 satisfies, in the sense of distributions, the equation ( z)g z = δ y, where δ y is the three dimensional Dirac delta centered in y.

9 Point Interaction: a very short introduction (H α k 2 ) 1 = (H k 2 ) 1 4π + 4πα i k (G k( y), )G k ( y) { Being D(H α ) = Ran[(H α k 2 ) 1 ] it is easily seen that { } D(H α ) = ψ L 2 (R 3 ) : ψ = ψ k + qg k ( y); ψ k H 2 (R 3 ), q = 4πψk (y) } 4πα i k, k2 ρ(h α ), k > 0, < α Function ψ k (x) is called regular part and often constant q is referred to as charge. G k (x y) = eik x y 4π x y k > 0 satisfies, in the sense of distributions, the equation ( z)g z = δ y, where δ y is the three dimensional Dirac delta centered in y. this operator matches up with the point Hamiltonian defined formally in the sense that if y / supp[ψ k ] functions ψ and ψ k coincide and H α acts on ψ as.

10 Point Interaction: a very short introduction (H α k 2 ) 1 = (H k 2 ) 1 4π + 4πα i k (G k( y), )G k ( y) { Being D(H α ) = Ran[(H α k 2 ) 1 ] it is easily seen that { } D(H α ) = ψ L 2 (R 3 ) : ψ = ψ k + qg k ( y); ψ k H 2 (R 3 ), q = 4πψk (y) } 4πα i k, k2 ρ(h α ), k > 0, < α Function ψ k (x) is called regular part and often constant q is referred to as charge. G k (x y) = eik x y 4π x y k > 0 satisfies, in the sense of distributions, the equation ( z)g z = δ y, where δ y is the three dimensional Dirac delta centered in y. this operator matches up with the point Hamiltonian defined formally in the sense that if y / supp[ψ k ] functions ψ and ψ k coincide and H α acts on ψ as. H α ψ = ψ ψ C 0 (R 3 \y)

11 Point Interaction: a very short introduction

12 Point Interaction: a very short introduction The spectrum of H α : If α < 0, H α has one eigenvalue σ ac (H α ) = [0, ) σ pp (H α ) = { (4πα) 2 } < α < 0 the corresponding normalized eigenfunction is If α 0, then σ pp =. φ 0 = 2 α e4πα x y x y

13 Point Interaction: a very short introduction The spectrum of H α : If α < 0, H α has one eigenvalue σ ac (H α ) = [0, ) σ pp (H α ) = { (4πα) 2 } < α < 0 the corresponding normalized eigenfunction is If α 0, then σ pp =. φ 0 = 2 α e4πα x y x y For every k R 3 the generalized eigenfunction of H α corresponding to the energy E = k 2 in the continuous spectrum is given in closed form by Φ y ±(x, k) = e ikx + e iky 4πα ± i k e i k x y x y

14 Spin dependent point interaction

15 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction

16 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction The Hilbert space for a system made up of one particle in dimension d and one spin 1/2 can be written H := L 2 (R d ) C 2 d = 1, 2, 3.

17 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction The Hilbert space for a system made up of one particle in dimension d and one spin 1/2 can be written Ψ H can be written in the following form Ψ = σ ψ σ χ σ, where the sum runs over σ = ± H := L 2 (R d ) C 2 d = 1, 2, 3.

18 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction The Hilbert space for a system made up of one particle in dimension d and one spin 1/2 can be written H := L 2 (R d ) C 2 d = 1, 2, 3. Ψ H can be written in the following form Ψ = σ ψ σ χ σ, where the sum runs over σ = ± Ψ, Φ := σ (ψ σ, φ σ ) L 2 Ψ, Φ H.

19 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction The Hilbert space for a system made up of one particle in dimension d and one spin 1/2 can be written H := L 2 (R d ) C 2 d = 1, 2, 3. Ψ H can be written in the following form Ψ = σ ψ σ χ σ, where the sum runs over σ = ± Ψ, Φ := σ (ψ σ, φ σ ) L 2 Ψ, Φ H. D(S) := C 0 (R d \0) C 2 d = 1, 2, 3 S := I C 2 + I L 2 βˆσ (1) β R +,

20 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction The Hilbert space for a system made up of one particle in dimension d and one spin 1/2 can be written H := L 2 (R d ) C 2 d = 1, 2, 3. Ψ H can be written in the following form Ψ = σ ψ σ χ σ, where the sum runs over σ = ± Ψ, Φ := σ (ψ σ, φ σ ) L 2 Ψ, Φ H. D(S) := C 0 (R d \0) C 2 d = 1, 2, 3 S := I C 2 + I L 2 βˆσ (1) β R +, D(H) := H 2 (R d ) C 2 d = 1, 2, 3 H := I C 2 + I L 2 βˆσ (1) β R +,

21 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction The Hilbert space for a system made up of one particle in dimension d and one spin 1/2 can be written H := L 2 (R d ) C 2 d = 1, 2, 3. Ψ H can be written in the following form Ψ = σ ψ σ χ σ, where the sum runs over σ = ± Ψ, Φ := σ (ψ σ, φ σ ) L 2 Ψ, Φ H. D(S) := C 0 (R d \0) C 2 d = 1, 2, 3 S := I C 2 + I L 2 βˆσ (1) β R +, D(H) := H 2 (R d ) C 2 d = 1, 2, 3 H := I C 2 + I L 2 βˆσ (1) β R +, HΨ = σ ( + β σ ) ψσ χ σ Ψ D(H). R(z)Ψ = σ ( z + β σ ) 1ψσ χ σ Ψ H; z ρ(h),

22 Spin dependent point interaction

23 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction

24 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction ˆR 0 (z) = R(z) + σ,σ ( (Γ0 (z)) 1) σ,σ Φ z σ, Φ z σ z C\R,

25 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction Let < α, then { D(Ĥ0) := Ψ H Ψ = Ψ z + q σ Φ z σ ; Ψ z = ψσ z χ σ D(H); z ρ(ĥ0) ; σ σ } q σ = αf σ, d = 1 ; αq σ = f σ, d = 2 ; αq σ = f σ, d = 3 Ĥ 0 Ψ := HΨ z + z σ q σ Φ z σ Ψ D(Ĥ0). ˆR 0 (z) = R(z) + σ,σ ( (Γ0 (z)) 1) σ,σ Φ z σ, Φ z σ z C\R,

26 Spin dependent point potentials in one and three dimensions. Claudio Cacciapuoti, Raffaele Carlone, Rodolfo Figari. J. Phys. A: Math. Theor. 40 (2007) Spin dependent point interaction Let < α, then { D(Ĥ0) := Ψ H Ψ = Ψ z + q σ Φ z σ ; Ψ z = ψσ z χ σ D(H); z ρ(ĥ0) ; σ σ } q σ = αf σ, d = 1 ; αq σ = f σ, d = 2 ; αq σ = f σ, d = 3 Ĥ 0 Ψ := HΨ z + z σ q σ Φ z σ Ψ D(Ĥ0). ˆR 0 (z) = R(z) + σ,σ ( (Γ0 (z)) 1) σ,σ Φ z σ, Φ z σ z C\R, d = 1 Γ 0 (z) = d = 2 Γ 0 (z) = i 2 z β 1 α d = 3 Γ 0 (z) = 0 ln( z β/2) + γ iπ/2 2π z β 4πi α 0 z + β 0 i 2 z + β 1 α 4πi + α 0 + α ln( z + β/2) + γ iπ/2 2π + α

27 Spin dependent point interaction

28 Spin dependent point interaction

29 Spin dependent point interaction

30 Spin dependent point interaction

31 Spin dependent point interaction

32 Spin dependent point interaction For d = 1, 2, 3 the essential spectrum is given by σ ess (Ĥ) = [ β, + ).

33 Spin dependent point interaction For d = 1, 2, 3 the essential spectrum is given by Consider < α < 0 σ ess (Ĥ) = [ β, + ). d = 1. d = 2. d = 3. E 0, = β α2 4 ; E 0,+ = β α2 4. (1) For all < α < 0 the lowest eigenvalue, E 0,, is below the threshold of essential spectrum and 2 2β α < 0 the second eigenvalue is embedded in the continuous spectrum, β E 0,+ < β. E 0, = β 4e 2(2πα+γ) ; E 0,+ = β 4e 2(2πα+γ). (2) The lowest eigenvalue, E 0,, is always below the threshold of essential spectrum if (ln( β/2) + γ)/(2π) α < the second eigenvalue is embedded in the continuous spectrum, β E 0,+ < β. E 0, = β (4πα) 2 ; E 0,+ = β (4πα) 2. (3) The lowest eigenvalue, E 0,, is always below the threshold of essential spectrum and if 2β/(4π) α < 0 the second eigenvalue is embedded in the continuous spectrum, β E 0,+ < β.

34 Turning to resonances

35 Turning to resonances Let < α and 0 < ε α, then { D(Ĥε) := Ψ H Ψ = Ψ z + q σ Φ z σ ; Ψ z = σ σ ψ z σ χ σ D(H); z ρ(ĥε) ; q ± = αf ± εf d = 1 ; αq ± + εq = f ± d = 2 ; } αq ± + εq = f ± d = 3 Ĥ ε Ψ := HΨ z + z σ q σ Φ z σ Ψ D(Ĥε).}

36 Turning to resonances Let < α and 0 < ε α, then { D(Ĥε) := Ψ H Ψ = Ψ z + q σ Φ z σ ; Ψ z = σ σ ψ z σ χ σ D(H); z ρ(ĥε) ; q ± = αf ± εf d = 1 ; αq ± + εq = f ± d = 2 ; } αq ± + εq = f ± d = 3 Ĥ ε Ψ := HΨ z + z σ q σ Φ z σ Ψ D(Ĥε).} ˆR ε (z) = R(z) + σ,σ ( (Γε (z)) 1) σ,σ Φ z σ, Φ z σ z C\R,

37 Turning to resonances Let < α and 0 < ε α, then { D(Ĥε) := Ψ H Ψ = Ψ z + q σ Φ z σ ; Ψ z = σ σ ψ z σ χ σ D(H); z ρ(ĥε) ; q ± = αf ± εf d = 1 ; αq ± + εq = f ± d = 2 ; } αq ± + εq = f ± d = 3 Ĥ ε Ψ := HΨ z + z σ q σ Φ z σ Ψ D(Ĥε).} ˆR ε (z) = R(z) + σ,σ ( (Γε (z)) 1) σ,σ Φ z σ, Φ z σ z C\R, Γ ε (z) = Γ ε (z) = Γ ε (z) = i 2 z β α ε α 2 ε 2 α 2 ε 2 ε i α 2 ε 2 2 z + β α α 2 ε 2 ln( z β/2) + γ iπ/2 + α ε 2π ln( z + β/2) + γ iπ/2 ε 2π i z β + α ε 4π ε i z + β + α 4π d = 1 d = 2 + α d = 3

38 Resonances

39 Resonances For d = 1, 2, 3 the point spectrum is given by real roots of equation det Γ ε (z) = 0. There exists ε 0 > 0 such that for all 0 < ε < ε 0 d = 1. If 0 α the point spectrum is empty. If < α < 0 the point spectrum consists of one simple eigenvalue E ε, < β. d = 2. For α = the point spectrum is empty. For all < α < the point spectrum consists of one simple eigenvalue E ε, < β. d = 3. If 0 α the point spectrum is empty. If < α < 0 the point spectrum consists of one simple eigenvalue E ε, < β.

40 Resonances For d = 1, 2, 3 the point spectrum is given by real roots of equation det Γ ε (z) = 0. There exists ε 0 > 0 such that for all 0 < ε < ε 0 d = 1. If 0 α the point spectrum is empty. If < α < 0 the point spectrum consists of one simple eigenvalue E ε, < β. d = 2. For α = the point spectrum is empty. For all < α < the point spectrum consists of one simple eigenvalue E ε, < β. d = 3. If 0 α the point spectrum is empty. If < α < 0 the point spectrum consists of one simple eigenvalue E ε, < β. Resonances are defined as zeroes in the unphysical sheet of det Γ ε (z) ζ ε = ε2 α 2 [ ( ) 1/2 ] 8β 1 i 16β α O ( (ε/α) 4) d = 1 ( ζ ε = (2πε)2 η 2 + (π/2) 2 η + i π ) + O ( (ε/α) 4) d = 2 2 ζ ε = (4π)4 ε 2 α 2 [ ( ) 1/2 ] 2β 1 i β (4πα) O ( (ε/α) 4) d = 3

41 Resonances For d = 1, 2, 3 the point spectrum is given by real roots of equation det Γ ε (z) = 0. There exists ε 0 > 0 such that for all 0 < ε < ε 0 d = 1. If 0 α the point spectrum is empty. If < α < 0 the point spectrum consists of one simple eigenvalue E ε, < β. d = 2. For α = the point spectrum is empty. For all < α < the point spectrum consists of one simple eigenvalue E ε, < β. d = 3. If 0 α the point spectrum is empty. If < α < 0 the point spectrum consists of one simple eigenvalue E ε, < β. Resonances are defined as zeroes in the unphysical sheet of det Γ ε (z) ζ ε = ε2 α 2 [ ( ) 1/2 ] 8β 1 i 16β α O ( (ε/α) 4) d = 1 ( ζ ε = (2πε)2 η 2 + (π/2) 2 η + i π ) + O ( (ε/α) 4) d = 2 2 ζ ε = (4π)4 ε 2 α 2 [ ( ) 1/2 ] 2β 1 i β (4πα) O ( (ε/α) 4) d = 3

42 time decay

43 time decay Φ ɛ,λ i = Φ λ i + ( ) 1 φ λ i (0) Γ ɛ (λ) σ σ σ Φ λ (1) (ω) = λ β 4π 3/2 + ( λ β 4πi e iω λ βx χ + + iɛ ) ( λ+β α 4πi G λ σ α + ( ) χ σ ) α ( λ β 4πi λ+β x ei ɛ 2 4π x λ+β 4πi α ) ( λ+β α 4πi ) α λ β x ei ɛ 2 4π x χ λ > β, ω S 2 χ + + Φ λ (2) (ω) = λ + β 4π 3/2 + ( λ β 4πi e iω λ+βx χ + ıɛ ) ( λ+β α 4πi ) α ( λ β 4πi λ β 4πi α ) ( λ+β α λ β x ei ɛ 2 4π x 4πi ) α λ+β x ei ɛ 2 4π x χ + λ > β, ω S 2 χ +

44 time decay P++(t) = ( β λ 4π e 8πα x 16π 2 x 2 = A e 8πα x x ɛ 2 e ıλt ) ( β+λ α 4πı ( 1 π ( β λ ) α ɛ 2 2 ɛ 2 e ıλt e 2 β λ x 16π 2 x 2 2β (4πα) 2 4π α) ( ı ) e ıλt L(λ; x 0 )dλ 4π dλ ) 2 dλ + α + ɛ 2

45 time decay P++(t) = ( β λ 4π e 8πα x 16π 2 x 2 = A e 8πα x x ɛ 2 e ıλt ) ( β+λ α 4πı ( 1 π ( β λ ) α ɛ 2 2 ɛ 2 e ıλt e 2 β λ x 16π 2 x 2 2β (4πα) 2 4π α) ( ı ) e ıλt L(λ; x 0 )dλ 4π dλ ) 2 dλ + α + ɛ 2 L(λ; x 0 ) = γ (λ x 0 ) 2 +γ 2 is the Lorentzian distribution in the variable λ and = [ a, a], x 0 = E + + (4πɛ)2 β (4πα) 2, A = 8π 2 α 2β (4πα) 2 γ = (4πα) 3 ɛ 2 α β 2β (4πα) 2

46 time decay P++(t) = ( β λ 4π e 8πα x 16π 2 x 2 = A e 8πα x x ɛ 2 e ıλt ) ( β+λ α 4πı ( 1 π ( β λ ) α ɛ 2 2 ɛ 2 e ıλt e 2 β λ x 16π 2 x 2 2β (4πα) 2 4π α) ( ı ) e ıλt L(λ; x 0 )dλ 4π dλ ) 2 dλ + α + ɛ 2

47 time decay P++(t) = ( β λ 4π e 8πα x 16π 2 x 2 = A e 8πα x x ɛ 2 e ıλt ) ( β+λ α 4πı ( 1 π ( β λ ) α ɛ 2 2 ɛ 2 e ıλt e 2 β λ x 16π 2 x 2 2β (4πα) 2 4π α) ( ı ) e ıλt L(λ; x 0 )dλ 4π dλ ) 2 dλ + α + ɛ 2 2πı Res z=(x0 iγ) [ e ızt L(z; x 0 ) ] = π e ı x 0 t e γ t

48 time decay P++(t) = ( β λ 4π e 8πα x 16π 2 x 2 = A e 8πα x x ɛ 2 e ıλt ) ( β+λ α 4πı ( 1 π ( β λ ) α ɛ 2 2 ɛ 2 e ıλt e 2 β λ x 16π 2 x 2 2β (4πα) 2 4π α) ( ı ) e ıλt L(λ; x 0 )dλ 4π dλ ) 2 dλ + α + ɛ 2 2πı Res z=(x0 iγ) [ e ızt L(z; x 0 ) ] = π e ı x 0 t e γ t

49 Conclusions The system we have analyzed is made of a localized q-bit, a two level model atom, and a particle, interacting with the q-bit via zero range forces. We have reproduced in a solvable model the mechanism of formation of a resonance. The generalization to an N-level atom is straightforward. Model with a gas of non interacting particles are under study.

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required) Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

Example Sheet 3 Solutions

Example Sheet 3 Solutions Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note

Διαβάστε περισσότερα

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

6.1. Dirac Equation. Hamiltonian. Dirac Eq. 6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2

Διαβάστε περισσότερα

Reminders: linear functions

Reminders: linear functions Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U

Διαβάστε περισσότερα

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all

Διαβάστε περισσότερα

Every set of first-order formulas is equivalent to an independent set

Every set of first-order formulas is equivalent to an independent set Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

2 Composition. Invertible Mappings

2 Composition. Invertible Mappings Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 3 Solutions Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For

Διαβάστε περισσότερα

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal

Διαβάστε περισσότερα

EE512: Error Control Coding

EE512: Error Control Coding EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3

Διαβάστε περισσότερα

Congruence Classes of Invertible Matrices of Order 3 over F 2

Congruence Classes of Invertible Matrices of Order 3 over F 2 International Journal of Algebra, Vol. 8, 24, no. 5, 239-246 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.2988/ija.24.422 Congruence Classes of Invertible Matrices of Order 3 over F 2 Ligong An and

Διαβάστε περισσότερα

Homework 8 Model Solution Section

Homework 8 Model Solution Section MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx

Διαβάστε περισσότερα

General 2 2 PT -Symmetric Matrices and Jordan Blocks 1

General 2 2 PT -Symmetric Matrices and Jordan Blocks 1 General 2 2 PT -Symmetric Matrices and Jordan Blocks 1 Qing-hai Wang National University of Singapore Quantum Physics with Non-Hermitian Operators Max-Planck-Institut für Physik komplexer Systeme Dresden,

Διαβάστε περισσότερα

Srednicki Chapter 55

Srednicki Chapter 55 Srednicki Chapter 55 QFT Problems & Solutions A. George August 3, 03 Srednicki 55.. Use equations 55.3-55.0 and A i, A j ] = Π i, Π j ] = 0 (at equal times) to verify equations 55.-55.3. This is our third

Διαβάστε περισσότερα

Parametrized Surfaces

Parametrized Surfaces Parametrized Surfaces Recall from our unit on vector-valued functions at the beginning of the semester that an R 3 -valued function c(t) in one parameter is a mapping of the form c : I R 3 where I is some

Διαβάστε περισσότερα

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω 0 1 2 3 4 5 6 ω ω + 1 ω + 2 ω + 3 ω + 4 ω2 ω2 + 1 ω2 + 2 ω2 + 3 ω3 ω3 + 1 ω3 + 2 ω4 ω4 + 1 ω5 ω 2 ω 2 + 1 ω 2 + 2 ω 2 + ω ω 2 + ω + 1 ω 2 + ω2 ω 2 2 ω 2 2 + 1 ω 2 2 + ω ω 2 3 ω 3 ω 3 + 1 ω 3 + ω ω 3 +

Διαβάστε περισσότερα

CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS

CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS EXERCISE 01 Page 545 1. Use matrices to solve: 3x + 4y x + 5y + 7 3x + 4y x + 5y 7 Hence, 3 4 x 0 5 y 7 The inverse of 3 4 5 is: 1 5 4 1 5 4 15 8 3

Διαβάστε περισσότερα

Space-Time Symmetries

Space-Time Symmetries Chapter Space-Time Symmetries In classical fiel theory any continuous symmetry of the action generates a conserve current by Noether's proceure. If the Lagrangian is not invariant but only shifts by a

Διαβάστε περισσότερα

Solutions to the Schrodinger equation atomic orbitals. Ψ 1 s Ψ 2 s Ψ 2 px Ψ 2 py Ψ 2 pz

Solutions to the Schrodinger equation atomic orbitals. Ψ 1 s Ψ 2 s Ψ 2 px Ψ 2 py Ψ 2 pz Solutions to the Schrodinger equation atomic orbitals Ψ 1 s Ψ 2 s Ψ 2 px Ψ 2 py Ψ 2 pz ybridization Valence Bond Approach to bonding sp 3 (Ψ 2 s + Ψ 2 px + Ψ 2 py + Ψ 2 pz) sp 2 (Ψ 2 s + Ψ 2 px + Ψ 2 py)

Διαβάστε περισσότερα

Statistical Inference I Locally most powerful tests

Statistical Inference I Locally most powerful tests Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided

Διαβάστε περισσότερα

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ. Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action

Διαβάστε περισσότερα

Homomorphism in Intuitionistic Fuzzy Automata

Homomorphism in Intuitionistic Fuzzy Automata International Journal of Fuzzy Mathematics Systems. ISSN 2248-9940 Volume 3, Number 1 (2013), pp. 39-45 Research India Publications http://www.ripublication.com/ijfms.htm Homomorphism in Intuitionistic

Διαβάστε περισσότερα

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr T t N n) Pr max X 1,..., X N ) t N n) Pr max

Διαβάστε περισσότερα

Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ.

Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ. Chemistry 362 Dr Jean M Standard Problem Set 9 Solutions The ˆ L 2 operator is defined as Verify that the angular wavefunction Y θ,φ) Also verify that the eigenvalue is given by 2! 2 & L ˆ 2! 2 2 θ 2 +

Διαβάστε περισσότερα

The Simply Typed Lambda Calculus

The Simply Typed Lambda Calculus Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and

Διαβάστε περισσότερα

5. Choice under Uncertainty

5. Choice under Uncertainty 5. Choice under Uncertainty Daisuke Oyama Microeconomics I May 23, 2018 Formulations von Neumann-Morgenstern (1944/1947) X: Set of prizes Π: Set of probability distributions on X : Preference relation

Διαβάστε περισσότερα

Derivation of Optical-Bloch Equations

Derivation of Optical-Bloch Equations Appendix C Derivation of Optical-Bloch Equations In this appendix the optical-bloch equations that give the populations and coherences for an idealized three-level Λ system, Fig. 3. on page 47, will be

Διαβάστε περισσότερα

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 6/5/2006

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 6/5/2006 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Ολοι οι αριθμοί που αναφέρονται σε όλα τα ερωτήματα είναι μικρότεροι το 1000 εκτός αν ορίζεται διαφορετικά στη διατύπωση του προβλήματος. Διάρκεια: 3,5 ώρες Καλή

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)

Διαβάστε περισσότερα

C.S. 430 Assignment 6, Sample Solutions

C.S. 430 Assignment 6, Sample Solutions C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order

Διαβάστε περισσότερα

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch: HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying

Διαβάστε περισσότερα

Second Order Partial Differential Equations

Second Order Partial Differential Equations Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y

Διαβάστε περισσότερα

Lecture 13 - Root Space Decomposition II

Lecture 13 - Root Space Decomposition II Lecture 13 - Root Space Decomposition II October 18, 2012 1 Review First let us recall the situation. Let g be a simple algebra, with maximal toral subalgebra h (which we are calling a CSA, or Cartan Subalgebra).

Διαβάστε περισσότερα

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Αν κάπου κάνετε κάποιες υποθέσεις να αναφερθούν στη σχετική ερώτηση. Όλα τα αρχεία που αναφέρονται στα προβλήματα βρίσκονται στον ίδιο φάκελο με το εκτελέσιμο

Διαβάστε περισσότερα

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013 Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering

Διαβάστε περισσότερα

Partial Differential Equations in Biology The boundary element method. March 26, 2013

Partial Differential Equations in Biology The boundary element method. March 26, 2013 The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that

Διαβάστε περισσότερα

Matrices and Determinants

Matrices and Determinants Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z

Διαβάστε περισσότερα

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0.

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0. DESIGN OF MACHINERY SOLUTION MANUAL -7-1! PROBLEM -7 Statement: Design a double-dwell cam to move a follower from to 25 6, dwell for 12, fall 25 and dwell for the remader The total cycle must take 4 sec

Διαβάστε περισσότερα

4.6 Autoregressive Moving Average Model ARMA(1,1)

4.6 Autoregressive Moving Average Model ARMA(1,1) 84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this

Διαβάστε περισσότερα

Solution Series 9. i=1 x i and i=1 x i.

Solution Series 9. i=1 x i and i=1 x i. Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x

Διαβάστε περισσότερα

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr (T t N n) Pr (max (X 1,..., X N ) t N n) Pr (max

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

On a four-dimensional hyperbolic manifold with finite volume

On a four-dimensional hyperbolic manifold with finite volume BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Numbers 2(72) 3(73), 2013, Pages 80 89 ISSN 1024 7696 On a four-dimensional hyperbolic manifold with finite volume I.S.Gutsul Abstract. In

Διαβάστε περισσότερα

derivation of the Laplacian from rectangular to spherical coordinates

derivation of the Laplacian from rectangular to spherical coordinates derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used

Διαβάστε περισσότερα

DIRECT PRODUCT AND WREATH PRODUCT OF TRANSFORMATION SEMIGROUPS

DIRECT PRODUCT AND WREATH PRODUCT OF TRANSFORMATION SEMIGROUPS GANIT J. Bangladesh Math. oc. IN 606-694) 0) -7 DIRECT PRODUCT AND WREATH PRODUCT OF TRANFORMATION EMIGROUP ubrata Majumdar, * Kalyan Kumar Dey and Mohd. Altab Hossain Department of Mathematics University

Διαβάστε περισσότερα

12. Radon-Nikodym Theorem

12. Radon-Nikodym Theorem Tutorial 12: Radon-Nikodym Theorem 1 12. Radon-Nikodym Theorem In the following, (Ω, F) is an arbitrary measurable space. Definition 96 Let μ and ν be two (possibly complex) measures on (Ω, F). We say

Διαβάστε περισσότερα

Fractional Colorings and Zykov Products of graphs

Fractional Colorings and Zykov Products of graphs Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is

Διαβάστε περισσότερα

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =? Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least

Διαβάστε περισσότερα

DERIVATION OF MILES EQUATION FOR AN APPLIED FORCE Revision C

DERIVATION OF MILES EQUATION FOR AN APPLIED FORCE Revision C DERIVATION OF MILES EQUATION FOR AN APPLIED FORCE Revision C By Tom Irvine Email: tomirvine@aol.com August 6, 8 Introduction The obective is to derive a Miles equation which gives the overall response

Διαβάστε περισσότερα

Section 8.3 Trigonometric Equations

Section 8.3 Trigonometric Equations 99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.

Διαβάστε περισσότερα

Lecture 10 - Representation Theory III: Theory of Weights

Lecture 10 - Representation Theory III: Theory of Weights Lecture 10 - Representation Theory III: Theory of Weights February 18, 2012 1 Terminology One assumes a base = {α i } i has been chosen. Then a weight Λ with non-negative integral Dynkin coefficients Λ

Διαβάστε περισσότερα

Adachi-Tamura [4] [5] Gérard- Laba Adachi [1] 1

Adachi-Tamura [4] [5] Gérard- Laba Adachi [1] 1 207 : msjmeeting-207sep-07i00 ( ) Abstract 989 Korotyaev Schrödinger Gérard Laba Multiparticle quantum scattering in constant magnetic fields - propagator ( ). ( ) 20 Sigal-Soffer [22] 987 Gérard- Laba

Διαβάστε περισσότερα

Lanczos and biorthogonalization methods for eigenvalues and eigenvectors of matrices

Lanczos and biorthogonalization methods for eigenvalues and eigenvectors of matrices Lanzos and iorthogonalization methods for eigenvalues and eigenvetors of matries rolem formulation Many prolems are redued to solving the following system: x x where is an unknown numer А a matrix n n

Διαβάστε περισσότερα

Solutions to Exercise Sheet 5

Solutions to Exercise Sheet 5 Solutions to Eercise Sheet 5 jacques@ucsd.edu. Let X and Y be random variables with joint pdf f(, y) = 3y( + y) where and y. Determine each of the following probabilities. Solutions. a. P (X ). b. P (X

Διαβάστε περισσότερα

g-selberg integrals MV Conjecture An A 2 Selberg integral Summary Long Live the King Ole Warnaar Department of Mathematics Long Live the King

g-selberg integrals MV Conjecture An A 2 Selberg integral Summary Long Live the King Ole Warnaar Department of Mathematics Long Live the King Ole Warnaar Department of Mathematics g-selberg integrals The Selberg integral corresponds to the following k-dimensional generalisation of the beta integral: D Here and k t α 1 i (1 t i ) β 1 1 i

Διαβάστε περισσότερα

D Alembert s Solution to the Wave Equation

D Alembert s Solution to the Wave Equation D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique

Διαβάστε περισσότερα

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R + Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b

Διαβάστε περισσότερα

Uniform Convergence of Fourier Series Michael Taylor

Uniform Convergence of Fourier Series Michael Taylor Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula

Διαβάστε περισσότερα

«Χρήσεις γης, αξίες γης και κυκλοφοριακές ρυθμίσεις στο Δήμο Χαλκιδέων. Η μεταξύ τους σχέση και εξέλιξη.»

«Χρήσεις γης, αξίες γης και κυκλοφοριακές ρυθμίσεις στο Δήμο Χαλκιδέων. Η μεταξύ τους σχέση και εξέλιξη.» ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ ΣΧΟΛΗ ΑΓΡΟΝΟΜΩΝ ΚΑΙ ΤΟΠΟΓΡΑΦΩΝ ΜΗΧΑΝΙΚΩΝ ΤΟΜΕΑΣ ΓΕΩΓΡΑΦΙΑΣ ΚΑΙ ΠΕΡΙΦΕΡΕΙΑΚΟΥ ΣΧΕΔΙΑΣΜΟΥ ΔΙΠΛΩΜΑΤΙΚΗ ΕΡΓΑΣΙΑ: «Χρήσεις γης, αξίες γης και κυκλοφοριακές ρυθμίσεις στο Δήμο Χαλκιδέων.

Διαβάστε περισσότερα

Mean-Variance Analysis

Mean-Variance Analysis Mean-Variance Analysis Jan Schneider McCombs School of Business University of Texas at Austin Jan Schneider Mean-Variance Analysis Beta Representation of the Risk Premium risk premium E t [Rt t+τ ] R1

Διαβάστε περισσότερα

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)

Διαβάστε περισσότερα

MA 342N Assignment 1 Due 24 February 2016

MA 342N Assignment 1 Due 24 February 2016 M 342N ssignment Due 24 February 206 Id: 342N-s206-.m4,v. 206/02/5 2:25:36 john Exp john. Suppose that q, in addition to satisfying the assumptions from lecture, is an even function. Prove that η(λ = 0,

Διαβάστε περισσότερα

Approximation of distance between locations on earth given by latitude and longitude

Approximation of distance between locations on earth given by latitude and longitude Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth

Διαβάστε περισσότερα

Lecture 15 - Root System Axiomatics

Lecture 15 - Root System Axiomatics Lecture 15 - Root System Axiomatics Nov 1, 01 In this lecture we examine root systems from an axiomatic point of view. 1 Reflections If v R n, then it determines a hyperplane, denoted P v, through the

Διαβάστε περισσότερα

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β 3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle

Διαβάστε περισσότερα

forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with

forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with Week 03: C lassification of S econd- Order L inear Equations In last week s lectures we have illustrated how to obtain the general solutions of first order PDEs using the method of characteristics. We

Διαβάστε περισσότερα

Overview. Transition Semantics. Configurations and the transition relation. Executions and computation

Overview. Transition Semantics. Configurations and the transition relation. Executions and computation Overview Transition Semantics Configurations and the transition relation Executions and computation Inference rules for small-step structural operational semantics for the simple imperative language Transition

Διαβάστε περισσότερα

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018 Journal of rogressive Research in Mathematics(JRM) ISSN: 2395-028 SCITECH Volume 3, Issue 2 RESEARCH ORGANISATION ublished online: March 29, 208 Journal of rogressive Research in Mathematics www.scitecresearch.com/journals

Διαβάστε περισσότερα

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2 ECE 634 Spring 6 Prof. David R. Jackson ECE Dept. Notes Fields in a Source-Free Region Example: Radiation from an aperture y PEC E t x Aperture Assume the following choice of vector potentials: A F = =

Διαβάστε περισσότερα

Lecture 2. Soundness and completeness of propositional logic

Lecture 2. Soundness and completeness of propositional logic Lecture 2 Soundness and completeness of propositional logic February 9, 2004 1 Overview Review of natural deduction. Soundness and completeness. Semantics of propositional formulas. Soundness proof. Completeness

Διαβάστε περισσότερα

ST5224: Advanced Statistical Theory II

ST5224: Advanced Statistical Theory II ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known

Διαβάστε περισσότερα

A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics

A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics A Bonus-Malus System as a Markov Set-Chain Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics Contents 1. Markov set-chain 2. Model of bonus-malus system 3. Example 4. Conclusions

Διαβάστε περισσότερα

HW 3 Solutions 1. a) I use the auto.arima R function to search over models using AIC and decide on an ARMA(3,1)

HW 3 Solutions 1. a) I use the auto.arima R function to search over models using AIC and decide on an ARMA(3,1) HW 3 Solutions a) I use the autoarima R function to search over models using AIC and decide on an ARMA3,) b) I compare the ARMA3,) to ARMA,0) ARMA3,) does better in all three criteria c) The plot of the

Διαβάστε περισσότερα

Review: Molecules = + + = + + Start with the full Hamiltonian. Use the Born-Oppenheimer approximation

Review: Molecules = + + = + + Start with the full Hamiltonian. Use the Born-Oppenheimer approximation Review: Molecules Start with the full amiltonian Ze e = + + ZZe A A B i A i me A ma ia, 4πε 0riA i< j4πε 0rij A< B4πε 0rAB Use the Born-Oppenheimer approximation elec Ze e = + + A A B i i me ia, 4πε 0riA

Διαβάστε περισσότερα

Strain gauge and rosettes

Strain gauge and rosettes Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified

Διαβάστε περισσότερα

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- ----------------- Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin

Διαβάστε περισσότερα

1 String with massive end-points

1 String with massive end-points 1 String with massive end-points Πρόβλημα 5.11:Θεωρείστε μια χορδή μήκους, τάσης T, με δύο σημειακά σωματίδια στα άκρα της, το ένα μάζας m, και το άλλο μάζας m. α) Μελετώντας την κίνηση των άκρων βρείτε

Διαβάστε περισσότερα

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8  questions or comments to Dan Fetter 1 Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test

Διαβάστε περισσότερα

= {{D α, D α }, D α }. = [D α, 4iσ µ α α D α µ ] = 4iσ µ α α [Dα, D α ] µ.

= {{D α, D α }, D α }. = [D α, 4iσ µ α α D α µ ] = 4iσ µ α α [Dα, D α ] µ. PHY 396 T: SUSY Solutions for problem set #1. Problem 2(a): First of all, [D α, D 2 D α D α ] = {D α, D α }D α D α {D α, D α } = {D α, D α }D α + D α {D α, D α } (S.1) = {{D α, D α }, D α }. Second, {D

Διαβάστε περισσότερα

The ε-pseudospectrum of a Matrix

The ε-pseudospectrum of a Matrix The ε-pseudospectrum of a Matrix Feb 16, 2015 () The ε-pseudospectrum of a Matrix Feb 16, 2015 1 / 18 1 Preliminaries 2 Definitions 3 Basic Properties 4 Computation of Pseudospectrum of 2 2 5 Problems

Διαβάστε περισσότερα

w o = R 1 p. (1) R = p =. = 1

w o = R 1 p. (1) R = p =. = 1 Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών ΗΥ-570: Στατιστική Επεξεργασία Σήµατος 205 ιδάσκων : Α. Μουχτάρης Τριτη Σειρά Ασκήσεων Λύσεις Ασκηση 3. 5.2 (a) From the Wiener-Hopf equation we have:

Διαβάστε περισσότερα

MATH423 String Theory Solutions 4. = 0 τ = f(s). (1) dτ ds = dxµ dτ f (s) (2) dτ 2 [f (s)] 2 + dxµ. dτ f (s) (3)

MATH423 String Theory Solutions 4. = 0 τ = f(s). (1) dτ ds = dxµ dτ f (s) (2) dτ 2 [f (s)] 2 + dxµ. dτ f (s) (3) 1. MATH43 String Theory Solutions 4 x = 0 τ = fs). 1) = = f s) ) x = x [f s)] + f s) 3) equation of motion is x = 0 if an only if f s) = 0 i.e. fs) = As + B with A, B constants. i.e. allowe reparametrisations

Διαβάστε περισσότερα

Finite Field Problems: Solutions

Finite Field Problems: Solutions Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The

Διαβάστε περισσότερα

CRASH COURSE IN PRECALCULUS

CRASH COURSE IN PRECALCULUS CRASH COURSE IN PRECALCULUS Shiah-Sen Wang The graphs are prepared by Chien-Lun Lai Based on : Precalculus: Mathematics for Calculus by J. Stuwart, L. Redin & S. Watson, 6th edition, 01, Brooks/Cole Chapter

Διαβάστε περισσότερα

Introduction to Time Series Analysis. Lecture 16.

Introduction to Time Series Analysis. Lecture 16. Introduction to Time Series Analysis. Lecture 16. 1. Review: Spectral density 2. Examples 3. Spectral distribution function. 4. Autocovariance generating function and spectral density. 1 Review: Spectral

Διαβάστε περισσότερα

CE 530 Molecular Simulation

CE 530 Molecular Simulation C 53 olecular Siulation Lecture Histogra Reweighting ethods David. Kofke Departent of Cheical ngineering SUNY uffalo kofke@eng.buffalo.edu Histogra Reweighting ethod to cobine results taken at different

Διαβάστε περισσότερα

Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices

Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices Chi-Kwong Li Department of Mathematics The College of William and Mary Williamsburg, Virginia 23187-8795

Διαβάστε περισσότερα

The kinetic and potential energies as T = 1 2. (m i η2 i k(η i+1 η i ) 2 ). (3) The Hooke s law F = Y ξ, (6) with a discrete analog

The kinetic and potential energies as T = 1 2. (m i η2 i k(η i+1 η i ) 2 ). (3) The Hooke s law F = Y ξ, (6) with a discrete analog Lecture 12: Introduction to Analytical Mechanics of Continuous Systems Lagrangian Density for Continuous Systems The kinetic and potential energies as T = 1 2 i η2 i (1 and V = 1 2 i+1 η i 2, i (2 where

Διαβάστε περισσότερα

Numerical Analysis FMN011

Numerical Analysis FMN011 Numerical Analysis FMN011 Carmen Arévalo Lund University carmen@maths.lth.se Lecture 12 Periodic data A function g has period P if g(x + P ) = g(x) Model: Trigonometric polynomial of order M T M (x) =

Διαβάστε περισσότερα

Sequent Calculi for the Modal µ-calculus over S5. Luca Alberucci, University of Berne. Logic Colloquium Berne, July 4th 2008

Sequent Calculi for the Modal µ-calculus over S5. Luca Alberucci, University of Berne. Logic Colloquium Berne, July 4th 2008 Sequent Calculi for the Modal µ-calculus over S5 Luca Alberucci, University of Berne Logic Colloquium Berne, July 4th 2008 Introduction Koz: Axiomatisation for the modal µ-calculus over K Axioms: All classical

Διαβάστε περισσότερα

Variational Wavefunction for the Helium Atom

Variational Wavefunction for the Helium Atom Technische Universität Graz Institut für Festkörperphysik Student project Variational Wavefunction for the Helium Atom Molecular and Solid State Physics 53. submitted on: 3. November 9 by: Markus Krammer

Διαβάστε περισσότερα

Three coupled amplitudes for the πη, K K and πη channels without data

Three coupled amplitudes for the πη, K K and πη channels without data Three coupled amplitudes for the πη, K K and πη channels without data Robert Kamiński IFJ PAN, Kraków and Łukasz Bibrzycki Pedagogical University, Kraków HaSpect meeting, Kraków, V/VI 216 Present status

Διαβάστε περισσότερα

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1. Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given

Διαβάστε περισσότερα

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p)

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p) Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2005-03-08 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

Διαβάστε περισσότερα

Trigonometric Formula Sheet

Trigonometric Formula Sheet Trigonometric Formula Sheet Definition of the Trig Functions Right Triangle Definition Assume that: 0 < θ < or 0 < θ < 90 Unit Circle Definition Assume θ can be any angle. y x, y hypotenuse opposite θ

Διαβάστε περισσότερα