If $A^mu$ is not determined uniquely by Maxwell's equations, what happens if we solve for it numerically?











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Given a solution $A^{mu}(x)$ to Maxwell's equations
begin{equation}
Box A^{mu}(x)-partial^{mu}partial_{nu}A^{nu}=0tag{1}
end{equation}

which also satisfies some specified initial conditions at time $t_0$
begin{equation}
A^{mu}(vec{x},t_0)=f^{mu}(vec{x}),quad dot{A}^{mu}(vec{x},t_0)=g^{mu}(vec{x})tag{2}
end{equation}

we have that the function
begin{equation}
A^{'mu}(x)=A^{mu}(x)+partial^{mu}alpha(x)tag{3}
end{equation}

also satisfies the equations of motion, and if we arrange that the scalar function $alpha$ also satisfy that
begin{equation}
partial^{mu}alpha(vec{x},t_0)=0,quad partial^{mu}dot{alpha}(vec{x},t_0)=0 tag{4}
end{equation}

at the initial time $t_0$, then the new solution $A^{'mu}$ also satisfies the initial conditions. For example, the function
begin{equation}
alpha(vec{x},t)=(t-t_0)^5h(vec{x})e^{-(t-t_0)^2}
end{equation}

satisfies the conditions Eq.$(4)$ and also vanishes at $trightarrow pm infty$. Therefore, the solution to Eq.$(1)$ is not uniquely determined by the initial data Eq.$(2)$.



Question: If one simulates Eq.$(1)$ numerically on a computer, why is the field configuration at a later time not uniquely determined by the data in Eq.$(2)$?










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  • 3




    Try and simulate it yourself. Spoiler alert: you won't be able to, at least not without fixing the gauge first. Numerically solving a PDE requires, for example, inverting a matrix/solving a linear system. This doesn't work when you have gauge invariance, because the matrix is singular.
    – AccidentalFourierTransform
    Nov 17 at 0:04






  • 2




    @AccidentalFourierTransform This isn't quite true. Your numerics may or not converge to a solution, depending on the algorithm. Some techniques involve solving a linear system, and they'll fail, but many techniques will e.g. trivially converge to the solution $alpha equiv 0$. The issue is non-uniqueness, not non-existence.
    – tparker
    Nov 17 at 2:49












  • @tparker I never said anything about non-existence. A linear system with singular matrix has an infinite number of solutions. So we agree the issue is about non-uniqueness, not about non-existence.
    – AccidentalFourierTransform
    Nov 17 at 2:53






  • 2




    Related: physics.stackexchange.com/q/20071/2451
    – Qmechanic
    Nov 17 at 3:37






  • 1




    If one simulates Eq.(1) numerically on a computer, why is the field configuration at a later time not uniquely determined by the data in Eq.(2)? I don't think the assumption is true. Even though the solution is non-unique, your algorithm can converge to a particular solution. Take the ordinary equation $x^ 2=1$. If you apply the bisection method in the interval $[0,2]$, you find the solution $x=1$, although you miss $x=-1$. Other methods might not converge. So I think that without specifying a particular numerical method, answers are going to be very vague.
    – jinawee
    Nov 17 at 11:46

















up vote
7
down vote

favorite
1












Given a solution $A^{mu}(x)$ to Maxwell's equations
begin{equation}
Box A^{mu}(x)-partial^{mu}partial_{nu}A^{nu}=0tag{1}
end{equation}

which also satisfies some specified initial conditions at time $t_0$
begin{equation}
A^{mu}(vec{x},t_0)=f^{mu}(vec{x}),quad dot{A}^{mu}(vec{x},t_0)=g^{mu}(vec{x})tag{2}
end{equation}

we have that the function
begin{equation}
A^{'mu}(x)=A^{mu}(x)+partial^{mu}alpha(x)tag{3}
end{equation}

also satisfies the equations of motion, and if we arrange that the scalar function $alpha$ also satisfy that
begin{equation}
partial^{mu}alpha(vec{x},t_0)=0,quad partial^{mu}dot{alpha}(vec{x},t_0)=0 tag{4}
end{equation}

at the initial time $t_0$, then the new solution $A^{'mu}$ also satisfies the initial conditions. For example, the function
begin{equation}
alpha(vec{x},t)=(t-t_0)^5h(vec{x})e^{-(t-t_0)^2}
end{equation}

satisfies the conditions Eq.$(4)$ and also vanishes at $trightarrow pm infty$. Therefore, the solution to Eq.$(1)$ is not uniquely determined by the initial data Eq.$(2)$.



Question: If one simulates Eq.$(1)$ numerically on a computer, why is the field configuration at a later time not uniquely determined by the data in Eq.$(2)$?










share|cite|improve this question




















  • 3




    Try and simulate it yourself. Spoiler alert: you won't be able to, at least not without fixing the gauge first. Numerically solving a PDE requires, for example, inverting a matrix/solving a linear system. This doesn't work when you have gauge invariance, because the matrix is singular.
    – AccidentalFourierTransform
    Nov 17 at 0:04






  • 2




    @AccidentalFourierTransform This isn't quite true. Your numerics may or not converge to a solution, depending on the algorithm. Some techniques involve solving a linear system, and they'll fail, but many techniques will e.g. trivially converge to the solution $alpha equiv 0$. The issue is non-uniqueness, not non-existence.
    – tparker
    Nov 17 at 2:49












  • @tparker I never said anything about non-existence. A linear system with singular matrix has an infinite number of solutions. So we agree the issue is about non-uniqueness, not about non-existence.
    – AccidentalFourierTransform
    Nov 17 at 2:53






  • 2




    Related: physics.stackexchange.com/q/20071/2451
    – Qmechanic
    Nov 17 at 3:37






  • 1




    If one simulates Eq.(1) numerically on a computer, why is the field configuration at a later time not uniquely determined by the data in Eq.(2)? I don't think the assumption is true. Even though the solution is non-unique, your algorithm can converge to a particular solution. Take the ordinary equation $x^ 2=1$. If you apply the bisection method in the interval $[0,2]$, you find the solution $x=1$, although you miss $x=-1$. Other methods might not converge. So I think that without specifying a particular numerical method, answers are going to be very vague.
    – jinawee
    Nov 17 at 11:46















up vote
7
down vote

favorite
1









up vote
7
down vote

favorite
1






1





Given a solution $A^{mu}(x)$ to Maxwell's equations
begin{equation}
Box A^{mu}(x)-partial^{mu}partial_{nu}A^{nu}=0tag{1}
end{equation}

which also satisfies some specified initial conditions at time $t_0$
begin{equation}
A^{mu}(vec{x},t_0)=f^{mu}(vec{x}),quad dot{A}^{mu}(vec{x},t_0)=g^{mu}(vec{x})tag{2}
end{equation}

we have that the function
begin{equation}
A^{'mu}(x)=A^{mu}(x)+partial^{mu}alpha(x)tag{3}
end{equation}

also satisfies the equations of motion, and if we arrange that the scalar function $alpha$ also satisfy that
begin{equation}
partial^{mu}alpha(vec{x},t_0)=0,quad partial^{mu}dot{alpha}(vec{x},t_0)=0 tag{4}
end{equation}

at the initial time $t_0$, then the new solution $A^{'mu}$ also satisfies the initial conditions. For example, the function
begin{equation}
alpha(vec{x},t)=(t-t_0)^5h(vec{x})e^{-(t-t_0)^2}
end{equation}

satisfies the conditions Eq.$(4)$ and also vanishes at $trightarrow pm infty$. Therefore, the solution to Eq.$(1)$ is not uniquely determined by the initial data Eq.$(2)$.



Question: If one simulates Eq.$(1)$ numerically on a computer, why is the field configuration at a later time not uniquely determined by the data in Eq.$(2)$?










share|cite|improve this question















Given a solution $A^{mu}(x)$ to Maxwell's equations
begin{equation}
Box A^{mu}(x)-partial^{mu}partial_{nu}A^{nu}=0tag{1}
end{equation}

which also satisfies some specified initial conditions at time $t_0$
begin{equation}
A^{mu}(vec{x},t_0)=f^{mu}(vec{x}),quad dot{A}^{mu}(vec{x},t_0)=g^{mu}(vec{x})tag{2}
end{equation}

we have that the function
begin{equation}
A^{'mu}(x)=A^{mu}(x)+partial^{mu}alpha(x)tag{3}
end{equation}

also satisfies the equations of motion, and if we arrange that the scalar function $alpha$ also satisfy that
begin{equation}
partial^{mu}alpha(vec{x},t_0)=0,quad partial^{mu}dot{alpha}(vec{x},t_0)=0 tag{4}
end{equation}

at the initial time $t_0$, then the new solution $A^{'mu}$ also satisfies the initial conditions. For example, the function
begin{equation}
alpha(vec{x},t)=(t-t_0)^5h(vec{x})e^{-(t-t_0)^2}
end{equation}

satisfies the conditions Eq.$(4)$ and also vanishes at $trightarrow pm infty$. Therefore, the solution to Eq.$(1)$ is not uniquely determined by the initial data Eq.$(2)$.



Question: If one simulates Eq.$(1)$ numerically on a computer, why is the field configuration at a later time not uniquely determined by the data in Eq.$(2)$?







electromagnetism gauge-theory maxwell-equations boundary-conditions determinism






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edited Nov 17 at 10:29









knzhou

37.6k9104183




37.6k9104183










asked Nov 16 at 23:54









Luke

530411




530411








  • 3




    Try and simulate it yourself. Spoiler alert: you won't be able to, at least not without fixing the gauge first. Numerically solving a PDE requires, for example, inverting a matrix/solving a linear system. This doesn't work when you have gauge invariance, because the matrix is singular.
    – AccidentalFourierTransform
    Nov 17 at 0:04






  • 2




    @AccidentalFourierTransform This isn't quite true. Your numerics may or not converge to a solution, depending on the algorithm. Some techniques involve solving a linear system, and they'll fail, but many techniques will e.g. trivially converge to the solution $alpha equiv 0$. The issue is non-uniqueness, not non-existence.
    – tparker
    Nov 17 at 2:49












  • @tparker I never said anything about non-existence. A linear system with singular matrix has an infinite number of solutions. So we agree the issue is about non-uniqueness, not about non-existence.
    – AccidentalFourierTransform
    Nov 17 at 2:53






  • 2




    Related: physics.stackexchange.com/q/20071/2451
    – Qmechanic
    Nov 17 at 3:37






  • 1




    If one simulates Eq.(1) numerically on a computer, why is the field configuration at a later time not uniquely determined by the data in Eq.(2)? I don't think the assumption is true. Even though the solution is non-unique, your algorithm can converge to a particular solution. Take the ordinary equation $x^ 2=1$. If you apply the bisection method in the interval $[0,2]$, you find the solution $x=1$, although you miss $x=-1$. Other methods might not converge. So I think that without specifying a particular numerical method, answers are going to be very vague.
    – jinawee
    Nov 17 at 11:46
















  • 3




    Try and simulate it yourself. Spoiler alert: you won't be able to, at least not without fixing the gauge first. Numerically solving a PDE requires, for example, inverting a matrix/solving a linear system. This doesn't work when you have gauge invariance, because the matrix is singular.
    – AccidentalFourierTransform
    Nov 17 at 0:04






  • 2




    @AccidentalFourierTransform This isn't quite true. Your numerics may or not converge to a solution, depending on the algorithm. Some techniques involve solving a linear system, and they'll fail, but many techniques will e.g. trivially converge to the solution $alpha equiv 0$. The issue is non-uniqueness, not non-existence.
    – tparker
    Nov 17 at 2:49












  • @tparker I never said anything about non-existence. A linear system with singular matrix has an infinite number of solutions. So we agree the issue is about non-uniqueness, not about non-existence.
    – AccidentalFourierTransform
    Nov 17 at 2:53






  • 2




    Related: physics.stackexchange.com/q/20071/2451
    – Qmechanic
    Nov 17 at 3:37






  • 1




    If one simulates Eq.(1) numerically on a computer, why is the field configuration at a later time not uniquely determined by the data in Eq.(2)? I don't think the assumption is true. Even though the solution is non-unique, your algorithm can converge to a particular solution. Take the ordinary equation $x^ 2=1$. If you apply the bisection method in the interval $[0,2]$, you find the solution $x=1$, although you miss $x=-1$. Other methods might not converge. So I think that without specifying a particular numerical method, answers are going to be very vague.
    – jinawee
    Nov 17 at 11:46










3




3




Try and simulate it yourself. Spoiler alert: you won't be able to, at least not without fixing the gauge first. Numerically solving a PDE requires, for example, inverting a matrix/solving a linear system. This doesn't work when you have gauge invariance, because the matrix is singular.
– AccidentalFourierTransform
Nov 17 at 0:04




Try and simulate it yourself. Spoiler alert: you won't be able to, at least not without fixing the gauge first. Numerically solving a PDE requires, for example, inverting a matrix/solving a linear system. This doesn't work when you have gauge invariance, because the matrix is singular.
– AccidentalFourierTransform
Nov 17 at 0:04




2




2




@AccidentalFourierTransform This isn't quite true. Your numerics may or not converge to a solution, depending on the algorithm. Some techniques involve solving a linear system, and they'll fail, but many techniques will e.g. trivially converge to the solution $alpha equiv 0$. The issue is non-uniqueness, not non-existence.
– tparker
Nov 17 at 2:49






@AccidentalFourierTransform This isn't quite true. Your numerics may or not converge to a solution, depending on the algorithm. Some techniques involve solving a linear system, and they'll fail, but many techniques will e.g. trivially converge to the solution $alpha equiv 0$. The issue is non-uniqueness, not non-existence.
– tparker
Nov 17 at 2:49














@tparker I never said anything about non-existence. A linear system with singular matrix has an infinite number of solutions. So we agree the issue is about non-uniqueness, not about non-existence.
– AccidentalFourierTransform
Nov 17 at 2:53




@tparker I never said anything about non-existence. A linear system with singular matrix has an infinite number of solutions. So we agree the issue is about non-uniqueness, not about non-existence.
– AccidentalFourierTransform
Nov 17 at 2:53




2




2




Related: physics.stackexchange.com/q/20071/2451
– Qmechanic
Nov 17 at 3:37




Related: physics.stackexchange.com/q/20071/2451
– Qmechanic
Nov 17 at 3:37




1




1




If one simulates Eq.(1) numerically on a computer, why is the field configuration at a later time not uniquely determined by the data in Eq.(2)? I don't think the assumption is true. Even though the solution is non-unique, your algorithm can converge to a particular solution. Take the ordinary equation $x^ 2=1$. If you apply the bisection method in the interval $[0,2]$, you find the solution $x=1$, although you miss $x=-1$. Other methods might not converge. So I think that without specifying a particular numerical method, answers are going to be very vague.
– jinawee
Nov 17 at 11:46






If one simulates Eq.(1) numerically on a computer, why is the field configuration at a later time not uniquely determined by the data in Eq.(2)? I don't think the assumption is true. Even though the solution is non-unique, your algorithm can converge to a particular solution. Take the ordinary equation $x^ 2=1$. If you apply the bisection method in the interval $[0,2]$, you find the solution $x=1$, although you miss $x=-1$. Other methods might not converge. So I think that without specifying a particular numerical method, answers are going to be very vague.
– jinawee
Nov 17 at 11:46












2 Answers
2






active

oldest

votes

















up vote
3
down vote













Not all initial value problems have unique solution. Your example of $alpha$ function demonstrates that this initial value problem is of such kind.



In this case, the problem is in the system of partial differential equations



$$
partial_nupartial^nu A^{mu}-partial^{mu}partial_{nu}A^{nu}=0
$$

itself; it does not put enough constraint on the functions $varphi(mathbf x,t), mathbf A(mathbf x,t)$. It is somewhat similar to a situation in linear algebra that sometimes occurs where a system of $n$ linear equations for $n$ unknowns has infinity of solutions.



A slightly different way to see this: notice that nowhere in the above system of PDE can we find $partial_t^2 A^0$ or $partial_t A^0$ directly; only a spatial gradient of $partial_t A^0$ is present. The equations for $A^i$'s do not relate them directly with time derivatives of $varphi$.



This means that if we have a solution of the initial value problem $varphi(x,t),mathbf A(x,t)$ and replace the scalar potential by $varphi' = varphi(x,t)+ht^2$ at time $t = 0$ (where $h$ is a constant), the equations are still satisfied and at $t=0$, initial conditions are satisfied too. This would not be so obviously possible if the system contained directly time derivatives of $varphi$. Consider a slightly different system



$$
partial_nupartial^nu A^{mu}= 0,
$$

(which in EM theory can be derived as a result of the Lorenz gauge choice) - this does constrain $partial_t^2 varphi$, so the above argument fails. I think this system should have a unique solution, because it is very similar to a set of equations for independent harmonic oscillators. However, for proof better check with mathematicians.






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    up vote
    2
    down vote













    Are you asking for the physical or mathematical explanation? Dan Yand's answer gives the physical explanation.



    Regarding the mathematical question: On what basis would you expect the field configuration to be uniquely determined by its initial data? Unlike for (uncoupled) ODE's, there's no theorem to that effect for general linear homogeneous second-order PDEs.






    share|cite|improve this answer























    • The issue is not about PDE vs ODE. There are point particle systems with gauge symmetries, and whose time evolution is not uniquely fixed by the equations of motion. And vice versa: there are field systems whose time evolution is uniquely fixed by the equations of motion (say, the heat/Schrödinger equation). The issue is about invertibility of the differential operator, equiv. about existence of a unique Green function. Obstructions may appear whether the system is one-dimensional or not.
      – AccidentalFourierTransform
      Nov 17 at 1:22










    • A Lagrangian of the form $L(q_1,q_2)=f(q_1-q_2)$, for arbitrary $f$, is invariant under $q_i(t)to q_i(t)+eta(t)$. The system has a gauge symmetry. I leave this to you to pick some specific $f$ and compute Euler-Lagrange. You get two redundant equations of motion, so only one independent equation for two degrees of freedom. No unique solution. Etc. (And if we are just going to cite references, let me quote Henneaux, Teitelboim "Quantization of Gauge Systems", which is a book about point particles, not fields).
      – AccidentalFourierTransform
      Nov 17 at 2:51












    • @AccidentalFourierTransform Oops, you're right. I meant that a function $mathbb{R} to mathbb{R}$ can't have a gauge freedom, but you can get around that by adding more variables at either end of the arrow. Edited to clarify.
      – tparker
      Nov 17 at 2:57












    • A system with a single degree of freedom, if it has a gauge symmetry, has no effective degrees of freedom at all. So its dynamics are purely topological and/or due to constraints. For example, a relativistic point particle, in the reparametrisation-invariant formalism, has a gauge symmetry, and it is still $mathbb Rtomathbb R$.
      – AccidentalFourierTransform
      Nov 17 at 3:00










    • @AccidentalFourierTransform I would describe a point particle (whether relatvistic or not) with trajectory $(t(tau), x(tau))$ as being described by a a function $mathbb{R} to mathbb{R}^2$, not $mathbb{R} to mathbb{R}$.
      – tparker
      Nov 17 at 3:10











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    2 Answers
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    2 Answers
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    active

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    up vote
    3
    down vote













    Not all initial value problems have unique solution. Your example of $alpha$ function demonstrates that this initial value problem is of such kind.



    In this case, the problem is in the system of partial differential equations



    $$
    partial_nupartial^nu A^{mu}-partial^{mu}partial_{nu}A^{nu}=0
    $$

    itself; it does not put enough constraint on the functions $varphi(mathbf x,t), mathbf A(mathbf x,t)$. It is somewhat similar to a situation in linear algebra that sometimes occurs where a system of $n$ linear equations for $n$ unknowns has infinity of solutions.



    A slightly different way to see this: notice that nowhere in the above system of PDE can we find $partial_t^2 A^0$ or $partial_t A^0$ directly; only a spatial gradient of $partial_t A^0$ is present. The equations for $A^i$'s do not relate them directly with time derivatives of $varphi$.



    This means that if we have a solution of the initial value problem $varphi(x,t),mathbf A(x,t)$ and replace the scalar potential by $varphi' = varphi(x,t)+ht^2$ at time $t = 0$ (where $h$ is a constant), the equations are still satisfied and at $t=0$, initial conditions are satisfied too. This would not be so obviously possible if the system contained directly time derivatives of $varphi$. Consider a slightly different system



    $$
    partial_nupartial^nu A^{mu}= 0,
    $$

    (which in EM theory can be derived as a result of the Lorenz gauge choice) - this does constrain $partial_t^2 varphi$, so the above argument fails. I think this system should have a unique solution, because it is very similar to a set of equations for independent harmonic oscillators. However, for proof better check with mathematicians.






    share|cite|improve this answer



























      up vote
      3
      down vote













      Not all initial value problems have unique solution. Your example of $alpha$ function demonstrates that this initial value problem is of such kind.



      In this case, the problem is in the system of partial differential equations



      $$
      partial_nupartial^nu A^{mu}-partial^{mu}partial_{nu}A^{nu}=0
      $$

      itself; it does not put enough constraint on the functions $varphi(mathbf x,t), mathbf A(mathbf x,t)$. It is somewhat similar to a situation in linear algebra that sometimes occurs where a system of $n$ linear equations for $n$ unknowns has infinity of solutions.



      A slightly different way to see this: notice that nowhere in the above system of PDE can we find $partial_t^2 A^0$ or $partial_t A^0$ directly; only a spatial gradient of $partial_t A^0$ is present. The equations for $A^i$'s do not relate them directly with time derivatives of $varphi$.



      This means that if we have a solution of the initial value problem $varphi(x,t),mathbf A(x,t)$ and replace the scalar potential by $varphi' = varphi(x,t)+ht^2$ at time $t = 0$ (where $h$ is a constant), the equations are still satisfied and at $t=0$, initial conditions are satisfied too. This would not be so obviously possible if the system contained directly time derivatives of $varphi$. Consider a slightly different system



      $$
      partial_nupartial^nu A^{mu}= 0,
      $$

      (which in EM theory can be derived as a result of the Lorenz gauge choice) - this does constrain $partial_t^2 varphi$, so the above argument fails. I think this system should have a unique solution, because it is very similar to a set of equations for independent harmonic oscillators. However, for proof better check with mathematicians.






      share|cite|improve this answer

























        up vote
        3
        down vote










        up vote
        3
        down vote









        Not all initial value problems have unique solution. Your example of $alpha$ function demonstrates that this initial value problem is of such kind.



        In this case, the problem is in the system of partial differential equations



        $$
        partial_nupartial^nu A^{mu}-partial^{mu}partial_{nu}A^{nu}=0
        $$

        itself; it does not put enough constraint on the functions $varphi(mathbf x,t), mathbf A(mathbf x,t)$. It is somewhat similar to a situation in linear algebra that sometimes occurs where a system of $n$ linear equations for $n$ unknowns has infinity of solutions.



        A slightly different way to see this: notice that nowhere in the above system of PDE can we find $partial_t^2 A^0$ or $partial_t A^0$ directly; only a spatial gradient of $partial_t A^0$ is present. The equations for $A^i$'s do not relate them directly with time derivatives of $varphi$.



        This means that if we have a solution of the initial value problem $varphi(x,t),mathbf A(x,t)$ and replace the scalar potential by $varphi' = varphi(x,t)+ht^2$ at time $t = 0$ (where $h$ is a constant), the equations are still satisfied and at $t=0$, initial conditions are satisfied too. This would not be so obviously possible if the system contained directly time derivatives of $varphi$. Consider a slightly different system



        $$
        partial_nupartial^nu A^{mu}= 0,
        $$

        (which in EM theory can be derived as a result of the Lorenz gauge choice) - this does constrain $partial_t^2 varphi$, so the above argument fails. I think this system should have a unique solution, because it is very similar to a set of equations for independent harmonic oscillators. However, for proof better check with mathematicians.






        share|cite|improve this answer














        Not all initial value problems have unique solution. Your example of $alpha$ function demonstrates that this initial value problem is of such kind.



        In this case, the problem is in the system of partial differential equations



        $$
        partial_nupartial^nu A^{mu}-partial^{mu}partial_{nu}A^{nu}=0
        $$

        itself; it does not put enough constraint on the functions $varphi(mathbf x,t), mathbf A(mathbf x,t)$. It is somewhat similar to a situation in linear algebra that sometimes occurs where a system of $n$ linear equations for $n$ unknowns has infinity of solutions.



        A slightly different way to see this: notice that nowhere in the above system of PDE can we find $partial_t^2 A^0$ or $partial_t A^0$ directly; only a spatial gradient of $partial_t A^0$ is present. The equations for $A^i$'s do not relate them directly with time derivatives of $varphi$.



        This means that if we have a solution of the initial value problem $varphi(x,t),mathbf A(x,t)$ and replace the scalar potential by $varphi' = varphi(x,t)+ht^2$ at time $t = 0$ (where $h$ is a constant), the equations are still satisfied and at $t=0$, initial conditions are satisfied too. This would not be so obviously possible if the system contained directly time derivatives of $varphi$. Consider a slightly different system



        $$
        partial_nupartial^nu A^{mu}= 0,
        $$

        (which in EM theory can be derived as a result of the Lorenz gauge choice) - this does constrain $partial_t^2 varphi$, so the above argument fails. I think this system should have a unique solution, because it is very similar to a set of equations for independent harmonic oscillators. However, for proof better check with mathematicians.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Nov 17 at 10:44

























        answered Nov 17 at 2:14









        Ján Lalinský

        13.8k1334




        13.8k1334






















            up vote
            2
            down vote













            Are you asking for the physical or mathematical explanation? Dan Yand's answer gives the physical explanation.



            Regarding the mathematical question: On what basis would you expect the field configuration to be uniquely determined by its initial data? Unlike for (uncoupled) ODE's, there's no theorem to that effect for general linear homogeneous second-order PDEs.






            share|cite|improve this answer























            • The issue is not about PDE vs ODE. There are point particle systems with gauge symmetries, and whose time evolution is not uniquely fixed by the equations of motion. And vice versa: there are field systems whose time evolution is uniquely fixed by the equations of motion (say, the heat/Schrödinger equation). The issue is about invertibility of the differential operator, equiv. about existence of a unique Green function. Obstructions may appear whether the system is one-dimensional or not.
              – AccidentalFourierTransform
              Nov 17 at 1:22










            • A Lagrangian of the form $L(q_1,q_2)=f(q_1-q_2)$, for arbitrary $f$, is invariant under $q_i(t)to q_i(t)+eta(t)$. The system has a gauge symmetry. I leave this to you to pick some specific $f$ and compute Euler-Lagrange. You get two redundant equations of motion, so only one independent equation for two degrees of freedom. No unique solution. Etc. (And if we are just going to cite references, let me quote Henneaux, Teitelboim "Quantization of Gauge Systems", which is a book about point particles, not fields).
              – AccidentalFourierTransform
              Nov 17 at 2:51












            • @AccidentalFourierTransform Oops, you're right. I meant that a function $mathbb{R} to mathbb{R}$ can't have a gauge freedom, but you can get around that by adding more variables at either end of the arrow. Edited to clarify.
              – tparker
              Nov 17 at 2:57












            • A system with a single degree of freedom, if it has a gauge symmetry, has no effective degrees of freedom at all. So its dynamics are purely topological and/or due to constraints. For example, a relativistic point particle, in the reparametrisation-invariant formalism, has a gauge symmetry, and it is still $mathbb Rtomathbb R$.
              – AccidentalFourierTransform
              Nov 17 at 3:00










            • @AccidentalFourierTransform I would describe a point particle (whether relatvistic or not) with trajectory $(t(tau), x(tau))$ as being described by a a function $mathbb{R} to mathbb{R}^2$, not $mathbb{R} to mathbb{R}$.
              – tparker
              Nov 17 at 3:10















            up vote
            2
            down vote













            Are you asking for the physical or mathematical explanation? Dan Yand's answer gives the physical explanation.



            Regarding the mathematical question: On what basis would you expect the field configuration to be uniquely determined by its initial data? Unlike for (uncoupled) ODE's, there's no theorem to that effect for general linear homogeneous second-order PDEs.






            share|cite|improve this answer























            • The issue is not about PDE vs ODE. There are point particle systems with gauge symmetries, and whose time evolution is not uniquely fixed by the equations of motion. And vice versa: there are field systems whose time evolution is uniquely fixed by the equations of motion (say, the heat/Schrödinger equation). The issue is about invertibility of the differential operator, equiv. about existence of a unique Green function. Obstructions may appear whether the system is one-dimensional or not.
              – AccidentalFourierTransform
              Nov 17 at 1:22










            • A Lagrangian of the form $L(q_1,q_2)=f(q_1-q_2)$, for arbitrary $f$, is invariant under $q_i(t)to q_i(t)+eta(t)$. The system has a gauge symmetry. I leave this to you to pick some specific $f$ and compute Euler-Lagrange. You get two redundant equations of motion, so only one independent equation for two degrees of freedom. No unique solution. Etc. (And if we are just going to cite references, let me quote Henneaux, Teitelboim "Quantization of Gauge Systems", which is a book about point particles, not fields).
              – AccidentalFourierTransform
              Nov 17 at 2:51












            • @AccidentalFourierTransform Oops, you're right. I meant that a function $mathbb{R} to mathbb{R}$ can't have a gauge freedom, but you can get around that by adding more variables at either end of the arrow. Edited to clarify.
              – tparker
              Nov 17 at 2:57












            • A system with a single degree of freedom, if it has a gauge symmetry, has no effective degrees of freedom at all. So its dynamics are purely topological and/or due to constraints. For example, a relativistic point particle, in the reparametrisation-invariant formalism, has a gauge symmetry, and it is still $mathbb Rtomathbb R$.
              – AccidentalFourierTransform
              Nov 17 at 3:00










            • @AccidentalFourierTransform I would describe a point particle (whether relatvistic or not) with trajectory $(t(tau), x(tau))$ as being described by a a function $mathbb{R} to mathbb{R}^2$, not $mathbb{R} to mathbb{R}$.
              – tparker
              Nov 17 at 3:10













            up vote
            2
            down vote










            up vote
            2
            down vote









            Are you asking for the physical or mathematical explanation? Dan Yand's answer gives the physical explanation.



            Regarding the mathematical question: On what basis would you expect the field configuration to be uniquely determined by its initial data? Unlike for (uncoupled) ODE's, there's no theorem to that effect for general linear homogeneous second-order PDEs.






            share|cite|improve this answer














            Are you asking for the physical or mathematical explanation? Dan Yand's answer gives the physical explanation.



            Regarding the mathematical question: On what basis would you expect the field configuration to be uniquely determined by its initial data? Unlike for (uncoupled) ODE's, there's no theorem to that effect for general linear homogeneous second-order PDEs.







            share|cite|improve this answer














            share|cite|improve this answer



            share|cite|improve this answer








            edited Nov 17 at 2:56

























            answered Nov 17 at 0:53









            tparker

            22.2k146119




            22.2k146119












            • The issue is not about PDE vs ODE. There are point particle systems with gauge symmetries, and whose time evolution is not uniquely fixed by the equations of motion. And vice versa: there are field systems whose time evolution is uniquely fixed by the equations of motion (say, the heat/Schrödinger equation). The issue is about invertibility of the differential operator, equiv. about existence of a unique Green function. Obstructions may appear whether the system is one-dimensional or not.
              – AccidentalFourierTransform
              Nov 17 at 1:22










            • A Lagrangian of the form $L(q_1,q_2)=f(q_1-q_2)$, for arbitrary $f$, is invariant under $q_i(t)to q_i(t)+eta(t)$. The system has a gauge symmetry. I leave this to you to pick some specific $f$ and compute Euler-Lagrange. You get two redundant equations of motion, so only one independent equation for two degrees of freedom. No unique solution. Etc. (And if we are just going to cite references, let me quote Henneaux, Teitelboim "Quantization of Gauge Systems", which is a book about point particles, not fields).
              – AccidentalFourierTransform
              Nov 17 at 2:51












            • @AccidentalFourierTransform Oops, you're right. I meant that a function $mathbb{R} to mathbb{R}$ can't have a gauge freedom, but you can get around that by adding more variables at either end of the arrow. Edited to clarify.
              – tparker
              Nov 17 at 2:57












            • A system with a single degree of freedom, if it has a gauge symmetry, has no effective degrees of freedom at all. So its dynamics are purely topological and/or due to constraints. For example, a relativistic point particle, in the reparametrisation-invariant formalism, has a gauge symmetry, and it is still $mathbb Rtomathbb R$.
              – AccidentalFourierTransform
              Nov 17 at 3:00










            • @AccidentalFourierTransform I would describe a point particle (whether relatvistic or not) with trajectory $(t(tau), x(tau))$ as being described by a a function $mathbb{R} to mathbb{R}^2$, not $mathbb{R} to mathbb{R}$.
              – tparker
              Nov 17 at 3:10


















            • The issue is not about PDE vs ODE. There are point particle systems with gauge symmetries, and whose time evolution is not uniquely fixed by the equations of motion. And vice versa: there are field systems whose time evolution is uniquely fixed by the equations of motion (say, the heat/Schrödinger equation). The issue is about invertibility of the differential operator, equiv. about existence of a unique Green function. Obstructions may appear whether the system is one-dimensional or not.
              – AccidentalFourierTransform
              Nov 17 at 1:22










            • A Lagrangian of the form $L(q_1,q_2)=f(q_1-q_2)$, for arbitrary $f$, is invariant under $q_i(t)to q_i(t)+eta(t)$. The system has a gauge symmetry. I leave this to you to pick some specific $f$ and compute Euler-Lagrange. You get two redundant equations of motion, so only one independent equation for two degrees of freedom. No unique solution. Etc. (And if we are just going to cite references, let me quote Henneaux, Teitelboim "Quantization of Gauge Systems", which is a book about point particles, not fields).
              – AccidentalFourierTransform
              Nov 17 at 2:51












            • @AccidentalFourierTransform Oops, you're right. I meant that a function $mathbb{R} to mathbb{R}$ can't have a gauge freedom, but you can get around that by adding more variables at either end of the arrow. Edited to clarify.
              – tparker
              Nov 17 at 2:57












            • A system with a single degree of freedom, if it has a gauge symmetry, has no effective degrees of freedom at all. So its dynamics are purely topological and/or due to constraints. For example, a relativistic point particle, in the reparametrisation-invariant formalism, has a gauge symmetry, and it is still $mathbb Rtomathbb R$.
              – AccidentalFourierTransform
              Nov 17 at 3:00










            • @AccidentalFourierTransform I would describe a point particle (whether relatvistic or not) with trajectory $(t(tau), x(tau))$ as being described by a a function $mathbb{R} to mathbb{R}^2$, not $mathbb{R} to mathbb{R}$.
              – tparker
              Nov 17 at 3:10
















            The issue is not about PDE vs ODE. There are point particle systems with gauge symmetries, and whose time evolution is not uniquely fixed by the equations of motion. And vice versa: there are field systems whose time evolution is uniquely fixed by the equations of motion (say, the heat/Schrödinger equation). The issue is about invertibility of the differential operator, equiv. about existence of a unique Green function. Obstructions may appear whether the system is one-dimensional or not.
            – AccidentalFourierTransform
            Nov 17 at 1:22




            The issue is not about PDE vs ODE. There are point particle systems with gauge symmetries, and whose time evolution is not uniquely fixed by the equations of motion. And vice versa: there are field systems whose time evolution is uniquely fixed by the equations of motion (say, the heat/Schrödinger equation). The issue is about invertibility of the differential operator, equiv. about existence of a unique Green function. Obstructions may appear whether the system is one-dimensional or not.
            – AccidentalFourierTransform
            Nov 17 at 1:22












            A Lagrangian of the form $L(q_1,q_2)=f(q_1-q_2)$, for arbitrary $f$, is invariant under $q_i(t)to q_i(t)+eta(t)$. The system has a gauge symmetry. I leave this to you to pick some specific $f$ and compute Euler-Lagrange. You get two redundant equations of motion, so only one independent equation for two degrees of freedom. No unique solution. Etc. (And if we are just going to cite references, let me quote Henneaux, Teitelboim "Quantization of Gauge Systems", which is a book about point particles, not fields).
            – AccidentalFourierTransform
            Nov 17 at 2:51






            A Lagrangian of the form $L(q_1,q_2)=f(q_1-q_2)$, for arbitrary $f$, is invariant under $q_i(t)to q_i(t)+eta(t)$. The system has a gauge symmetry. I leave this to you to pick some specific $f$ and compute Euler-Lagrange. You get two redundant equations of motion, so only one independent equation for two degrees of freedom. No unique solution. Etc. (And if we are just going to cite references, let me quote Henneaux, Teitelboim "Quantization of Gauge Systems", which is a book about point particles, not fields).
            – AccidentalFourierTransform
            Nov 17 at 2:51














            @AccidentalFourierTransform Oops, you're right. I meant that a function $mathbb{R} to mathbb{R}$ can't have a gauge freedom, but you can get around that by adding more variables at either end of the arrow. Edited to clarify.
            – tparker
            Nov 17 at 2:57






            @AccidentalFourierTransform Oops, you're right. I meant that a function $mathbb{R} to mathbb{R}$ can't have a gauge freedom, but you can get around that by adding more variables at either end of the arrow. Edited to clarify.
            – tparker
            Nov 17 at 2:57














            A system with a single degree of freedom, if it has a gauge symmetry, has no effective degrees of freedom at all. So its dynamics are purely topological and/or due to constraints. For example, a relativistic point particle, in the reparametrisation-invariant formalism, has a gauge symmetry, and it is still $mathbb Rtomathbb R$.
            – AccidentalFourierTransform
            Nov 17 at 3:00




            A system with a single degree of freedom, if it has a gauge symmetry, has no effective degrees of freedom at all. So its dynamics are purely topological and/or due to constraints. For example, a relativistic point particle, in the reparametrisation-invariant formalism, has a gauge symmetry, and it is still $mathbb Rtomathbb R$.
            – AccidentalFourierTransform
            Nov 17 at 3:00












            @AccidentalFourierTransform I would describe a point particle (whether relatvistic or not) with trajectory $(t(tau), x(tau))$ as being described by a a function $mathbb{R} to mathbb{R}^2$, not $mathbb{R} to mathbb{R}$.
            – tparker
            Nov 17 at 3:10




            @AccidentalFourierTransform I would describe a point particle (whether relatvistic or not) with trajectory $(t(tau), x(tau))$ as being described by a a function $mathbb{R} to mathbb{R}^2$, not $mathbb{R} to mathbb{R}$.
            – tparker
            Nov 17 at 3:10


















             

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