In general, wavefunction W(x) solutions of bound state quantum problems are obtained by solving a time-independent spatial differential Schrodinger equation. Traditionally, entropy or thermodynamic ideas do not enter as there is no temperature in the problem. Nevertheless, with Shannon’s definition of entropy, even a T=0 bound state solution has probabilities P(p)=fp*fp, P(x)=W(x)W(x) and P(p and x)= P(p/x)P(x)= fp sin(px) W(x). As a result, one may calculate at least three Shannon’s entropies for T=0 bound state solutions, namely Sp, Sx and S(x and p). Sp and Sx are not independent because W(x)= Sum over p fp sin(px). Finding entropies may appear as simply a calculational exercise at this point. For the ground state of the quantum oscilla...
There has been interest (1) (2) in calculating high energy single particle wavefunction entropies us...
Traditionally, Shannon’s spatial entropy is applied to a quantum wavefunction i.e (W*(x)W(x)) ln[ W...
In a previous note (1) we suggested using P(x)P(p/x) where P(x)=W(x)W(x) and P(p/x) = a(p)exp(ipx)/W...
In general, wavefunction W(x) solutions of bound state quantum problems are obtained by solving a ti...
Shannon’s entropy is defined for probabilities as - Sum over i P(i) ln(P(i)). For a probability dens...
Shannon’s entropy: -k Sum over i P(i) ln(P(i)) is expressed in terms of P(i) the probability for sta...
Historically, thermodynamics was formulated for macroscopic systems followed by the development of s...
Classical statistical mechanics (for example a Maxwell-Boltzmann gas) seems to be governed by intera...
The von Neumann entropy definition is -Tr ( d ln(d)) and is linked to: = Tr (d A) ((1)). Here d i...
In a previous note (1) we suggested the existence of a quantum entropy associated with a free quantu...
In (1), the spatial quantum Shannon’s entropy: - Integral dx Wn(x)Wn(x) ln[ Wn(x)Wn(x)] ((A)) for a ...
Entropy in quantum mechanics is often based on von Neuman’s prescription (1) which yields zero for a...
In the literature, Shannon’s entropy with spatial density as probability i.e. density(x) ln(density(...
Addendum Feb. 3, 2022 We restrict S=entropy=Sx+Sp to pure energy eigenstates. I.e. Wn(x) used in Sx...
Recently, there has been some interest in the literature in calculating temperature dependent quantu...
There has been interest (1) (2) in calculating high energy single particle wavefunction entropies us...
Traditionally, Shannon’s spatial entropy is applied to a quantum wavefunction i.e (W*(x)W(x)) ln[ W...
In a previous note (1) we suggested using P(x)P(p/x) where P(x)=W(x)W(x) and P(p/x) = a(p)exp(ipx)/W...
In general, wavefunction W(x) solutions of bound state quantum problems are obtained by solving a ti...
Shannon’s entropy is defined for probabilities as - Sum over i P(i) ln(P(i)). For a probability dens...
Shannon’s entropy: -k Sum over i P(i) ln(P(i)) is expressed in terms of P(i) the probability for sta...
Historically, thermodynamics was formulated for macroscopic systems followed by the development of s...
Classical statistical mechanics (for example a Maxwell-Boltzmann gas) seems to be governed by intera...
The von Neumann entropy definition is -Tr ( d ln(d)) and is linked to: = Tr (d A) ((1)). Here d i...
In a previous note (1) we suggested the existence of a quantum entropy associated with a free quantu...
In (1), the spatial quantum Shannon’s entropy: - Integral dx Wn(x)Wn(x) ln[ Wn(x)Wn(x)] ((A)) for a ...
Entropy in quantum mechanics is often based on von Neuman’s prescription (1) which yields zero for a...
In the literature, Shannon’s entropy with spatial density as probability i.e. density(x) ln(density(...
Addendum Feb. 3, 2022 We restrict S=entropy=Sx+Sp to pure energy eigenstates. I.e. Wn(x) used in Sx...
Recently, there has been some interest in the literature in calculating temperature dependent quantu...
There has been interest (1) (2) in calculating high energy single particle wavefunction entropies us...
Traditionally, Shannon’s spatial entropy is applied to a quantum wavefunction i.e (W*(x)W(x)) ln[ W...
In a previous note (1) we suggested using P(x)P(p/x) where P(x)=W(x)W(x) and P(p/x) = a(p)exp(ipx)/W...