Abstract:Consider an elliptic self-adjoint pseudodifferential operator A acting on m-columns of half-densities on a closed manifold M , whose principal symbol is assumed to have simple eigenvalues. We show that the spectrum of A decomposes, up to an error with superpolynomial decay, into m distinct series, each associated with one of the eigenvalues of the principal symbol of A. These spectral results are then applied to the study of propagation of singularities in hyperbolic systems. The key technical ingredient is th… Show more
“…We believe that the self-contained explicit construction presented here will prove useful in applications -for example, in the context of quantum field theory in curved spacetime, compare [4,16,5] and [25,26,27,49] -and be more accessible for the wider mathematical physics community. From a theoretical perspective, this paper complements the analysis of invariant subspaces of elliptic systems carried out in [13,14], and the spectral results therein.…”
Section: Introductionmentioning
confidence: 78%
“…The operators P j from the above theorem form an orthonormal basis of pseudodifferential projections commuting with A, and an explicit algorithm for the construction of their full symbols was given in [13]. Pseudodifferential projections were exploited in [14] to partition the spectrum of A into precisely m infinite series of eigenvalues, singling out the contribution to the spectrum of A of individual eigenvalues of A prin (more details about this will be recalled later on). Theorem 2.4 tells us that pseudodifferential projections allow one to decompose A into m sign-semidefinite operators P * j AP j ∈ Ψ s m .…”
“…We believe that the self-contained explicit construction presented here will prove useful in applications -for example, in the context of quantum field theory in curved spacetime, compare [4,16,5] and [25,26,27,49] -and be more accessible for the wider mathematical physics community. From a theoretical perspective, this paper complements the analysis of invariant subspaces of elliptic systems carried out in [13,14], and the spectral results therein.…”
Section: Introductionmentioning
confidence: 78%
“…The operators P j from the above theorem form an orthonormal basis of pseudodifferential projections commuting with A, and an explicit algorithm for the construction of their full symbols was given in [13]. Pseudodifferential projections were exploited in [14] to partition the spectrum of A into precisely m infinite series of eigenvalues, singling out the contribution to the spectrum of A of individual eigenvalues of A prin (more details about this will be recalled later on). Theorem 2.4 tells us that pseudodifferential projections allow one to decompose A into m sign-semidefinite operators P * j AP j ∈ Ψ s m .…”
“…However, diagonalising a system may not be possible due to topological obstructions, as is the case for some important physically meaningful operators; see Sections 3-5. For this reason, other approaches to the study of the spectrum of systems, such as the use of pseudodifferential projections [8,9], are perhaps more natural, in that they always work and circumvent topological obstructions altogether. Let {e j } 3 j=1 be a positively oriented global framing of M , namely, a set of three orthonormal smooth vector fields on M , whose orientation agrees with that of M .…”
Section: And Only If Either One Of the Following Two Equivalent Condi...mentioning
Given a matrix pseudodifferential operator on a smooth manifold, one may be interested in diagonalising it by choosing eigenvectors of its principal symbol in a smooth manner. We show that diagonalisation is not always possible, on the whole cotangent bundle or even in a single fibre. We identify global and local topological obstructions to diagonalisation and examine physically meaningful examples demonstrating that all possible scenarios can occur.
“…However, diagonalising a system may not be possible due to topological obstructions, as is the case for some important physically meaningful operators; see Section 3. For this reason, other approaches to study the spectrum of systems, such as the use of pseudodifferential projections [7,8], are perhaps more natural, in that they always work and circumvent topological obstructions altogether.…”
Given a matrix pseudodifferential operator on a smooth manifold, one may be interested in diagonalising it by choosing eigenvectors of its principal symbol in a smooth manner. We show that diagonalisation is not always possible, on the whole cotangent bundle or even in a single fibre. We identify global and local topological obstructions to diagonalisation and examine physically meaningful examples demonstrating that all possible scenarios can occur.
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