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Piyush Grover's user avatar
Piyush Grover's user avatar
Piyush Grover's user avatar
Piyush Grover
  • Member for 11 years, 11 months
  • Last seen more than a week ago
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Rigorous stability analysis of infinite dimensional ODEs : How to bound the tails?
@MichaelRenardy I have edited to restrict to only those systems where spectrum does determine stability. Note that I am not asking for computation of the full spectrum, but rather concluding stability using a combination of analysis of the truncated system and some estimate of the neglected modes.
revised
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Is Axler's Linear Algebra done right insufficient for an introduction of the subject?
Axler is not good for first course, especially for a self-study. Go with Strang.
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Conditions on the velocity ensuring that a flow moves points along the boundary of a manifold
No, I meant your proof claiming that (3) is trivially satisfied. Lets take $v$ to be a constant vector field pointing in horizontal direction, parallel to x axis. Clearly (3) doesn't hold for most points on boundary of $M$.
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Conditions on the velocity ensuring that a flow moves points along the boundary of a manifold
Do you see why its true when M is a disk in a plane? Does your 'proof' given at end of your question hold in this case?
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Prominent non-mathematical work of mathematicians
Unabomber has to be #1 on this list.
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Suggestions for special lectures at next ICM
I thought "pure math" when applied becomes applied math, no ?
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Tips to organize a successful math workshop
I highly doubt anyone will accept unless the workshop is 2+ years away in future (due to COVID). You might have better luck organizing something online.
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Dislocations and Random Matrix Theory
Not sure if RMT is applicable, but here's a work related spectral graph theory to grain boundary modeling: Johnson, Oliver K., Jarrod M. Lund, and Tyler R. Critchfield. "Spectral graph theory for characterization and homogenization of grain boundary networks." Acta Materialia 146 (2018): 42-54.
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How to prove the following linearized operator is positive?
@Tao.Zhou I believe you can look into Ref. [4] in the paper to see why the ground state has lowest eigenvalue. In general, such operators have a unique positive eigenfunction (i.e., all other eigenfunctions must be positive and negative somewhere) and it corresponds to lowest eigenvalue, thats why it is called ground (i.e., lowest) state
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How to prove the following linearized operator is positive?
Seems like a Rayleigh quotient argument ? Q is the ground state, i.e. eigenfunction corresponding to lowest eigenvalue, which is equal to 0 here since $L_{-}Q=0$. Now apply rayleigh quotient thm to prove positivity.
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Asymptotics for solution of transport equation and characteristics
Divergence controls the rate of expansion/contraction of volumes (or Lebesgue measures), think about case where initial data is uniform small ball around origin. If div=0, this ball will deform but volume will be conserved (e.g. it will become ellipse in the case I mentioned above). If div>0, volume will grow. Hence, a neccesary condition for all traj. to go to 0 is div<0, but certainly it is not sufficient. E.g. $\dot{x}=x$, $\dot{y}=-2y$.
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Asymptotics for solution of transport equation and characteristics
Take a 2D example with 0 divergence. $\dot{x}=x$,$\dot{y}=-y$. See what you get.
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Asymptotics for solution of transport equation and characteristics
I am saying the opposite, that is if div v=0, then ODE cannot decay to 0 for all initial conditions.. Just take tiny circle around origin and apply divergence thm. Since all traj. are going into that circle, the line integral will be non-zero, but the area integral is 0 if div.v=0.
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Asymptotics for solution of transport equation and characteristics
V is invompressible if its divergence is 0 everywhere. Such flows cannot have sinks as required by your 2nd eq.
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