J.M.A.M. van Neerven
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This thesis generalises the classical cross-ratio of four projective points in complex projective 1-space to a pairing of two k-dimensional and two (n-k-1)-dimensional linear subspaces of complex projective n-space. We prove that the absolute values of the generalised cross-ratio determine the local height pairings of the corresponding cycles. For the Archimedean height, the proof avoids integrating Green’s forms over high-dimensional subspaces by relating this height, via an incidence correspondence, to an explicit height pairing of points and a principal divisor on a Grassmannian.
We then study degenerating families of these linear subspaces and describe the asymptotic behaviour of all local height pairings as the cycles intersect. We show that, in any degeneration, the asymptotics are governed by the intersection degree of the corresponding families of cycles.
Furthermore, using a global construction, we show that the generalised cross-ratio itself, rather than only its norms, computes a generalised Hodge-theoretic height. This is done by showing that the relative homology group induced by the two k-planes and two (n-k-1)-planes is naturally an extension of mixed Hodge structures of Z(0) by Z(1), and that the height of this extension equals the generalised cross-ratio.
Finally, using local methods, we study regularised limits of local heights and interpret these limits using only the central degenerate geometry, together with small perturbations. This thesis provides a new class of examples associating geometric shapes to limits of local heights. ...
We then study degenerating families of these linear subspaces and describe the asymptotic behaviour of all local height pairings as the cycles intersect. We show that, in any degeneration, the asymptotics are governed by the intersection degree of the corresponding families of cycles.
Furthermore, using a global construction, we show that the generalised cross-ratio itself, rather than only its norms, computes a generalised Hodge-theoretic height. This is done by showing that the relative homology group induced by the two k-planes and two (n-k-1)-planes is naturally an extension of mixed Hodge structures of Z(0) by Z(1), and that the height of this extension equals the generalised cross-ratio.
Finally, using local methods, we study regularised limits of local heights and interpret these limits using only the central degenerate geometry, together with small perturbations. This thesis provides a new class of examples associating geometric shapes to limits of local heights. ...
This thesis generalises the classical cross-ratio of four projective points in complex projective 1-space to a pairing of two k-dimensional and two (n-k-1)-dimensional linear subspaces of complex projective n-space. We prove that the absolute values of the generalised cross-ratio determine the local height pairings of the corresponding cycles. For the Archimedean height, the proof avoids integrating Green’s forms over high-dimensional subspaces by relating this height, via an incidence correspondence, to an explicit height pairing of points and a principal divisor on a Grassmannian.
We then study degenerating families of these linear subspaces and describe the asymptotic behaviour of all local height pairings as the cycles intersect. We show that, in any degeneration, the asymptotics are governed by the intersection degree of the corresponding families of cycles.
Furthermore, using a global construction, we show that the generalised cross-ratio itself, rather than only its norms, computes a generalised Hodge-theoretic height. This is done by showing that the relative homology group induced by the two k-planes and two (n-k-1)-planes is naturally an extension of mixed Hodge structures of Z(0) by Z(1), and that the height of this extension equals the generalised cross-ratio.
Finally, using local methods, we study regularised limits of local heights and interpret these limits using only the central degenerate geometry, together with small perturbations. This thesis provides a new class of examples associating geometric shapes to limits of local heights.
We then study degenerating families of these linear subspaces and describe the asymptotic behaviour of all local height pairings as the cycles intersect. We show that, in any degeneration, the asymptotics are governed by the intersection degree of the corresponding families of cycles.
Furthermore, using a global construction, we show that the generalised cross-ratio itself, rather than only its norms, computes a generalised Hodge-theoretic height. This is done by showing that the relative homology group induced by the two k-planes and two (n-k-1)-planes is naturally an extension of mixed Hodge structures of Z(0) by Z(1), and that the height of this extension equals the generalised cross-ratio.
Finally, using local methods, we study regularised limits of local heights and interpret these limits using only the central degenerate geometry, together with small perturbations. This thesis provides a new class of examples associating geometric shapes to limits of local heights.
Master thesis
(2026)
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J.V. de Nijs, B. Janssens, Y.M. Blanter, Koenraad Schalm, J.M.A.M. van Neerven, A.A.F.M. Artaud
As Wigner showed in 1939 for the Poincaré algebra, fundamental particles can be classified using symmetry algebras. In a universe including gravity, the Poincaré algebra cannot be the correct symmetry algebra, as this is the symmetry algebra for flat space. Instead, one should consider a symmetry algebra of asymptotic symmetries, which preserve only the asymptotic structure of gravity. Many of these asymptotic symmetries are not physically useful and are therefore considered 'trivial'. In this thesis we give a new, quantum, definition of trivial symmetries, namely that a symmetry is trivial if it does not change which fundamental particles are found in a classification. We then specialize to three-dimensional asymptotically Anti-de-Sitter space. To calculate which symmetries are trivial we first determine the second cohomology group of the asymptotic symmetries.
Using the second cohomology group it is then found that the useful asymptotic symmetry algebra is given by $\mathfrak w\oplus \mathfrak w\oplus \mathbb R$, where $\mathfrak w$ is the Witt (centerless Virasoro) algebra, whereas the standard definition of trivial symmetry gives $\mathfrak w\oplus \mathfrak w$ as the useful symmetry algebra. The extra factor of $\mathbb R$ is interpreted to be a kind of center-of-mass momentum. ...
Using the second cohomology group it is then found that the useful asymptotic symmetry algebra is given by $\mathfrak w\oplus \mathfrak w\oplus \mathbb R$, where $\mathfrak w$ is the Witt (centerless Virasoro) algebra, whereas the standard definition of trivial symmetry gives $\mathfrak w\oplus \mathfrak w$ as the useful symmetry algebra. The extra factor of $\mathbb R$ is interpreted to be a kind of center-of-mass momentum. ...
As Wigner showed in 1939 for the Poincaré algebra, fundamental particles can be classified using symmetry algebras. In a universe including gravity, the Poincaré algebra cannot be the correct symmetry algebra, as this is the symmetry algebra for flat space. Instead, one should consider a symmetry algebra of asymptotic symmetries, which preserve only the asymptotic structure of gravity. Many of these asymptotic symmetries are not physically useful and are therefore considered 'trivial'. In this thesis we give a new, quantum, definition of trivial symmetries, namely that a symmetry is trivial if it does not change which fundamental particles are found in a classification. We then specialize to three-dimensional asymptotically Anti-de-Sitter space. To calculate which symmetries are trivial we first determine the second cohomology group of the asymptotic symmetries.
Using the second cohomology group it is then found that the useful asymptotic symmetry algebra is given by $\mathfrak w\oplus \mathfrak w\oplus \mathbb R$, where $\mathfrak w$ is the Witt (centerless Virasoro) algebra, whereas the standard definition of trivial symmetry gives $\mathfrak w\oplus \mathfrak w$ as the useful symmetry algebra. The extra factor of $\mathbb R$ is interpreted to be a kind of center-of-mass momentum.
Using the second cohomology group it is then found that the useful asymptotic symmetry algebra is given by $\mathfrak w\oplus \mathfrak w\oplus \mathbb R$, where $\mathfrak w$ is the Witt (centerless Virasoro) algebra, whereas the standard definition of trivial symmetry gives $\mathfrak w\oplus \mathfrak w$ as the useful symmetry algebra. The extra factor of $\mathbb R$ is interpreted to be a kind of center-of-mass momentum.
Bachelor thesis
(2026)
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L. Cazzaniga, F.H.J. Redig, S. Stallinga, M. Blaauboer, J.M.A.M. van Neerven
This thesis studies how irreversible macroscopic relaxation emerges from reversible microscopic spin dynamics. For an independent spin-flip system, the empirical magnetization converges to a deterministic relaxation law, while typical fluctuations are described by an Ornstein–Uhlenbeck process. Rare deviations are analysed through fixed-time and pathwise large deviation principles, leading to explicit rate functions and optimal trajectories obtained from a Hamiltonian–Lagrangian formulation. The thesis also discusses how interactions in the two-dimensional Ising model introduce domains, interfaces, and metastability. Overall, large deviation theory quantifies both the probability and the most likely realization of trajectories opposing macroscopic relaxation.
...
This thesis studies how irreversible macroscopic relaxation emerges from reversible microscopic spin dynamics. For an independent spin-flip system, the empirical magnetization converges to a deterministic relaxation law, while typical fluctuations are described by an Ornstein–Uhlenbeck process. Rare deviations are analysed through fixed-time and pathwise large deviation principles, leading to explicit rate functions and optimal trajectories obtained from a Hamiltonian–Lagrangian formulation. The thesis also discusses how interactions in the two-dimensional Ising model introduce domains, interfaces, and metastability. Overall, large deviation theory quantifies both the probability and the most likely realization of trajectories opposing macroscopic relaxation.
Master thesis
(2024)
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L.K.M. Verlinde, C.E. Groenland, A. Bishnoi, D.C. Gijswijt, J.M.A.M. van Neerven
Consider an arbitrary finite grid in some field. How many hyperplanes are required so that every point is contained in at least k hyperplanes, except for one point that is not allowed to be contained in any hyperplane? To solve this so-called hyperplane grid covering problem, the polynomial method has proven to be extremely useful in finding bounds on the minimum number of hyperplanes required. This has given rise to a second problem: the polynomial grid covering problem. This problem considers the minimum degree of a polynomial such that every grid point is a root with multiplicity k, except for one point where the polynomial does not vanish. We study these two related problems for multiple grids: the hypercube, the vector space over the binary field and grids in the Cartesian plane. Since polynomial covers in the latter have not been studied before, we provide algorithms and techniques to study these covers. We also explore the link between grid coverings and two results from algebraic geometry: the Footprint Bound and the Cayley-Bacharach Theorems.
...
Consider an arbitrary finite grid in some field. How many hyperplanes are required so that every point is contained in at least k hyperplanes, except for one point that is not allowed to be contained in any hyperplane? To solve this so-called hyperplane grid covering problem, the polynomial method has proven to be extremely useful in finding bounds on the minimum number of hyperplanes required. This has given rise to a second problem: the polynomial grid covering problem. This problem considers the minimum degree of a polynomial such that every grid point is a root with multiplicity k, except for one point where the polynomial does not vanish. We study these two related problems for multiple grids: the hypercube, the vector space over the binary field and grids in the Cartesian plane. Since polynomial covers in the latter have not been studied before, we provide algorithms and techniques to study these covers. We also explore the link between grid coverings and two results from algebraic geometry: the Footprint Bound and the Cayley-Bacharach Theorems.
A multivariate analogue of Ruijsenaars's generalised hypergeometric function
A quantum algebra approach
In this thesis, we derive a multivariate analogue of Ruijsenaars’s 2F1-generalisation R. We use Hopf algebra representation theory of the modular double of sl.2/, a Hopf algebra structure strongly related to quantum groups, to relate the function R to overlap coefficients of eigenfunctions. Using properties of the algebra and the representation, we derive an Askey-Wilson type difference equation. We moreover recover Ruijsenaars’s unitary transformation kernel E.
Expanding on the Hopf algebra structure, we extend our derivations to the multivariate version of R. Employing representation theory, we obtain multivariate difference equations. Furthermore, we demonstrate that the multivariate function enables the definition of a unitary transformation on multivariate functions in L2..0; ∞/N/. ...
Expanding on the Hopf algebra structure, we extend our derivations to the multivariate version of R. Employing representation theory, we obtain multivariate difference equations. Furthermore, we demonstrate that the multivariate function enables the definition of a unitary transformation on multivariate functions in L2..0; ∞/N/. ...
In this thesis, we derive a multivariate analogue of Ruijsenaars’s 2F1-generalisation R. We use Hopf algebra representation theory of the modular double of sl.2/, a Hopf algebra structure strongly related to quantum groups, to relate the function R to overlap coefficients of eigenfunctions. Using properties of the algebra and the representation, we derive an Askey-Wilson type difference equation. We moreover recover Ruijsenaars’s unitary transformation kernel E.
Expanding on the Hopf algebra structure, we extend our derivations to the multivariate version of R. Employing representation theory, we obtain multivariate difference equations. Furthermore, we demonstrate that the multivariate function enables the definition of a unitary transformation on multivariate functions in L2..0; ∞/N/.
Expanding on the Hopf algebra structure, we extend our derivations to the multivariate version of R. Employing representation theory, we obtain multivariate difference equations. Furthermore, we demonstrate that the multivariate function enables the definition of a unitary transformation on multivariate functions in L2..0; ∞/N/.
In this thesis, we will be studying Lie groups and their connection to certain orthogonal polynomials. We will look into the classical Krawtchouk, Meixner and Laguerre polynomials, and the multivariate Krawtchouk and Meixner polynomials as defined by Iliev. Using representations of the Lie groups SU(2) and SU(1,1), it will be shown that the three classical polynomials can be described as matrix coefficients of the representations. Using this connection of the polynomials to Lie groups, we derive various properties of the polynomials from the unitarity of the representation and the associated Lie algebra representation. Next, the representations are generalised to higher dimensional spaces. Doing so, a new connection is shown between the Lie group SU(d+1) and the multivariate Krawtchouk polynomials, extending the known theory for the univariate polynomials. Another new result that will be established is the connection between the multivariate Meixner polynomials and Lie theory. This will be done by defining a representation of SU(1,d) in the Bergman space of the d-dimensional unit ball. Similar as for the univariate polynomials, we will derive the orthogonality, recurrence relations and difference equations from the associated Lie theory.
...
In this thesis, we will be studying Lie groups and their connection to certain orthogonal polynomials. We will look into the classical Krawtchouk, Meixner and Laguerre polynomials, and the multivariate Krawtchouk and Meixner polynomials as defined by Iliev. Using representations of the Lie groups SU(2) and SU(1,1), it will be shown that the three classical polynomials can be described as matrix coefficients of the representations. Using this connection of the polynomials to Lie groups, we derive various properties of the polynomials from the unitarity of the representation and the associated Lie algebra representation. Next, the representations are generalised to higher dimensional spaces. Doing so, a new connection is shown between the Lie group SU(d+1) and the multivariate Krawtchouk polynomials, extending the known theory for the univariate polynomials. Another new result that will be established is the connection between the multivariate Meixner polynomials and Lie theory. This will be done by defining a representation of SU(1,d) in the Bergman space of the d-dimensional unit ball. Similar as for the univariate polynomials, we will derive the orthogonality, recurrence relations and difference equations from the associated Lie theory.
Spatiotemporal stochastic processes have applications in various fields, but they can be difficult to numerically approximate in a reasonable time, in particular, in the context of statistical inference for large datasets.
Recently, a new approach for efficient spatiotemporal statistical modeling has been proposed, where the space-time stochastic processes are constructed as solutions to a certain class of fractional-order parabolic stochastic partial differential equations. Until now, the solution concepts, that have been formulated for these stochastic equations, either assume zero initial conditions for the process itself and (if existent) for all of its (mean-square temporal) derivatives, or set all (existing) higher-order derivatives at the starting time to zero. The aim of this thesis is twofold: Firstly, we generalize this class of stochastic processes in such a way that non-zero initial conditions (for the process and its temporal derivatives) can be meaningfully incorporated. Secondly, we show that for certain (integer) values of the parameter corresponding to the fractional power of the parabolic operator, the solutions satisfy certain Markov properties.
To this end, we first generalize the integration domain of stochastic Hilbert-space-valued Itô integrals to the whole real line. Afterwards, we present the modified spatiotemporal stochastic processes that facilitate incorporating nonzero initial conditions for the process and its derivatives at a given initial time. Lastly, we show that this proposed process satisfies a so-called multiple Markov property under certain conditions. Markov properties are desirable in numerical applications, because a Markov process allows for a much faster numerical approximation of its covariance operator.
...
Recently, a new approach for efficient spatiotemporal statistical modeling has been proposed, where the space-time stochastic processes are constructed as solutions to a certain class of fractional-order parabolic stochastic partial differential equations. Until now, the solution concepts, that have been formulated for these stochastic equations, either assume zero initial conditions for the process itself and (if existent) for all of its (mean-square temporal) derivatives, or set all (existing) higher-order derivatives at the starting time to zero. The aim of this thesis is twofold: Firstly, we generalize this class of stochastic processes in such a way that non-zero initial conditions (for the process and its temporal derivatives) can be meaningfully incorporated. Secondly, we show that for certain (integer) values of the parameter corresponding to the fractional power of the parabolic operator, the solutions satisfy certain Markov properties.
To this end, we first generalize the integration domain of stochastic Hilbert-space-valued Itô integrals to the whole real line. Afterwards, we present the modified spatiotemporal stochastic processes that facilitate incorporating nonzero initial conditions for the process and its derivatives at a given initial time. Lastly, we show that this proposed process satisfies a so-called multiple Markov property under certain conditions. Markov properties are desirable in numerical applications, because a Markov process allows for a much faster numerical approximation of its covariance operator.
...
Spatiotemporal stochastic processes have applications in various fields, but they can be difficult to numerically approximate in a reasonable time, in particular, in the context of statistical inference for large datasets.
Recently, a new approach for efficient spatiotemporal statistical modeling has been proposed, where the space-time stochastic processes are constructed as solutions to a certain class of fractional-order parabolic stochastic partial differential equations. Until now, the solution concepts, that have been formulated for these stochastic equations, either assume zero initial conditions for the process itself and (if existent) for all of its (mean-square temporal) derivatives, or set all (existing) higher-order derivatives at the starting time to zero. The aim of this thesis is twofold: Firstly, we generalize this class of stochastic processes in such a way that non-zero initial conditions (for the process and its temporal derivatives) can be meaningfully incorporated. Secondly, we show that for certain (integer) values of the parameter corresponding to the fractional power of the parabolic operator, the solutions satisfy certain Markov properties.
To this end, we first generalize the integration domain of stochastic Hilbert-space-valued Itô integrals to the whole real line. Afterwards, we present the modified spatiotemporal stochastic processes that facilitate incorporating nonzero initial conditions for the process and its derivatives at a given initial time. Lastly, we show that this proposed process satisfies a so-called multiple Markov property under certain conditions. Markov properties are desirable in numerical applications, because a Markov process allows for a much faster numerical approximation of its covariance operator.
Recently, a new approach for efficient spatiotemporal statistical modeling has been proposed, where the space-time stochastic processes are constructed as solutions to a certain class of fractional-order parabolic stochastic partial differential equations. Until now, the solution concepts, that have been formulated for these stochastic equations, either assume zero initial conditions for the process itself and (if existent) for all of its (mean-square temporal) derivatives, or set all (existing) higher-order derivatives at the starting time to zero. The aim of this thesis is twofold: Firstly, we generalize this class of stochastic processes in such a way that non-zero initial conditions (for the process and its temporal derivatives) can be meaningfully incorporated. Secondly, we show that for certain (integer) values of the parameter corresponding to the fractional power of the parabolic operator, the solutions satisfy certain Markov properties.
To this end, we first generalize the integration domain of stochastic Hilbert-space-valued Itô integrals to the whole real line. Afterwards, we present the modified spatiotemporal stochastic processes that facilitate incorporating nonzero initial conditions for the process and its derivatives at a given initial time. Lastly, we show that this proposed process satisfies a so-called multiple Markov property under certain conditions. Markov properties are desirable in numerical applications, because a Markov process allows for a much faster numerical approximation of its covariance operator.
In 2017 Martijn Caspers, Fedor Sukochev and Dmitriy Zanin published a paper which generalises the proof of Davies' 1988 paper, and thus resolves the Nazarov-Peller conjecture. The proofs of these papers have been presented in this thesis. They have been expanded with a proof that generalises the conjecture to arbitrary Schatten classes. The optimality of the estimates in the conjecture is also studied, following the example of the 2016 paper by Coine et al. In addition, the quantum mechanical context is provided to interpret the presented results.
...
In 2017 Martijn Caspers, Fedor Sukochev and Dmitriy Zanin published a paper which generalises the proof of Davies' 1988 paper, and thus resolves the Nazarov-Peller conjecture. The proofs of these papers have been presented in this thesis. They have been expanded with a proof that generalises the conjecture to arbitrary Schatten classes. The optimality of the estimates in the conjecture is also studied, following the example of the 2016 paper by Coine et al. In addition, the quantum mechanical context is provided to interpret the presented results.
In this thesis, we introduce the quantum groups Uq(SL(2,C)) and Aq(SL(2,C)) as Hopf algebras. We study their representations, including their similarities and differences with the classical theory. We show that the eigenvectors of Koorwinder's twisted primitive elements of Uq(SU(2)) are dual q-Krawtchouk polynomials. We use this explicit expression to define generalised matrix elements and spherical functions in Aq(SL(2,C)). Then we use the Haar functional to show that these generalised matrix elements are Askey-Wilson polynomials with two continuous and two discrete parameters. Next, we show a new result. Namely, two twisted primitive elements of Uq(SL(2,C)) generate Zhedanov's Askey-Wilson algebra AW(3). Consequently, AW(3) is embedded as a subalgebra into Uq(SL(2,C)). We use this to show that overlap functions of twisted primitive elements in Uq(SU(2)) are q-Racah polynomials. With that, we derive a summation formula connecting q-Racah and dual q-Krawtchouk polynomials.
...
In this thesis, we introduce the quantum groups Uq(SL(2,C)) and Aq(SL(2,C)) as Hopf algebras. We study their representations, including their similarities and differences with the classical theory. We show that the eigenvectors of Koorwinder's twisted primitive elements of Uq(SU(2)) are dual q-Krawtchouk polynomials. We use this explicit expression to define generalised matrix elements and spherical functions in Aq(SL(2,C)). Then we use the Haar functional to show that these generalised matrix elements are Askey-Wilson polynomials with two continuous and two discrete parameters. Next, we show a new result. Namely, two twisted primitive elements of Uq(SL(2,C)) generate Zhedanov's Askey-Wilson algebra AW(3). Consequently, AW(3) is embedded as a subalgebra into Uq(SL(2,C)). We use this to show that overlap functions of twisted primitive elements in Uq(SU(2)) are q-Racah polynomials. With that, we derive a summation formula connecting q-Racah and dual q-Krawtchouk polynomials.
In 2011 Avsec showed strong solidity of the q-Gaussian algebras, building upon previous results of Houdayer and Shlyakhtenko, and Ozawa and Popa. In this work we study this result as well as the necessary literature and q-mathematics needed to replicate the proof. The literature is combined within this thesis, whilst additionally filling in gaps in Avsec's proofs. Overall, the thesis aims to present an improved and more accessible proof of the strong solidity of the q-Gaussian algebras.
...
In 2011 Avsec showed strong solidity of the q-Gaussian algebras, building upon previous results of Houdayer and Shlyakhtenko, and Ozawa and Popa. In this work we study this result as well as the necessary literature and q-mathematics needed to replicate the proof. The literature is combined within this thesis, whilst additionally filling in gaps in Avsec's proofs. Overall, the thesis aims to present an improved and more accessible proof of the strong solidity of the q-Gaussian algebras.
Orthogonality relations of q-Meixner polynomials
With the use of spectral analysis
Orthogonality relations of q-Meixner polynomials, polynomials in terms of basic hypergeometric series, will be proved by using spectral measures and a difference operator.
...
Orthogonality relations of q-Meixner polynomials, polynomials in terms of basic hypergeometric series, will be proved by using spectral measures and a difference operator.
Master thesis
(2019)
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Anne van der Klein, Wolter Groenevelt, Jan van Neerven, Fernando de Oliveira Filho
The spherical transform maps the orthogonal basis of symmetric Jacobi-type polynomials to an orthogonal basis of (symmetric) Wilson polynomials. The spherical transform is closely related to the Cherednik-Opdam transform, as it is essentially its symmetric version. The symmetric Jacobi-type polynomials can be composed from the non-symmetric Jacobi-type polynomials. These relations, between the symmetric and non-symmetric theory, give an incentive to consider the Cherednik-Opdam transform of non-symmetric Jacobi-type polynomials. This work gives an overview of the symmetric theory about the spherical transform of Jacobi-type polynomials and lays down the groundwork for the Cherednik-Opdam transform of the non-symmetric Jacobi-type polynomials.
...
The spherical transform maps the orthogonal basis of symmetric Jacobi-type polynomials to an orthogonal basis of (symmetric) Wilson polynomials. The spherical transform is closely related to the Cherednik-Opdam transform, as it is essentially its symmetric version. The symmetric Jacobi-type polynomials can be composed from the non-symmetric Jacobi-type polynomials. These relations, between the symmetric and non-symmetric theory, give an incentive to consider the Cherednik-Opdam transform of non-symmetric Jacobi-type polynomials. This work gives an overview of the symmetric theory about the spherical transform of Jacobi-type polynomials and lays down the groundwork for the Cherednik-Opdam transform of the non-symmetric Jacobi-type polynomials.
Symmetric and nonsymmetric Macdonald polynomials associated to root systems are very general families of orthogonal polynomials in multiple variables. Their definition is quite complex, but in certain cases one can define so-called interpolation polynomials that have a surprisingly simple definition and are related to the Macdonald polynomials by a binomial formula. In this thesis we will discuss such formulas for two kinds of root systems: type A and type (C∨,C). For the latter case, there are still some open questions that remain unanswered.
...
Symmetric and nonsymmetric Macdonald polynomials associated to root systems are very general families of orthogonal polynomials in multiple variables. Their definition is quite complex, but in certain cases one can define so-called interpolation polynomials that have a surprisingly simple definition and are related to the Macdonald polynomials by a binomial formula. In this thesis we will discuss such formulas for two kinds of root systems: type A and type (C∨,C). For the latter case, there are still some open questions that remain unanswered.
In this report we study Markov processes on compact and connected Riemannian manifolds. We define a random walk on such manifolds and give a direct proof of the invariance principle. This principle says that under some conditions on the jumping distributions (i.e. the distributions of single steps), the random walk converges to Brownian motion when space is scaled by 1/N, time by N^2 and N tends to infinity (which has been shown with more general methods by Jorgensen and by Blum). To prove this, we show convergence of the generators on the set of smooth functions and we apply the Trotter-Kurtz theorem (as has been done by Blum, in a rather sketchy way and in a slightly different setting). We also show convergence of the corresponding Dirichlet forms. Then we show that the conditions on the jumping distributions are satisfied if they are compactly supported and have mean 0 and a covariance matrix which is invariant under orthogonal transformations.
Next, we define random grids on a Riemannian manifold and we define random walks on them. We show that their Dirichlet forms converge to the Dirichlet form of Brownian motion, using the results above. We also prove a result that is a bit weaker than convergence of the generators in this case.
Finally, these grids allow us to define the Symmetric Exclusion Process (SEP) on a manifold. Using the convergence results above, we follow the line of a proof of Seppäläinen to show that the hydrodynamic limit of the SEP satisfies the heat equation. Some details still need to be filled in, but we believe that this method will allow us to study interacting particle systems and their hydrodynamic limits on Riemannian manifolds.
Before all of this we start with an introduction to Markov processes, their semigroups and generators. In particular we focus on time-reversible (or symmetric) processes and the Dirichlet form with its properties. We also give an introduction to Riemannian manifolds and related notions. ...
Next, we define random grids on a Riemannian manifold and we define random walks on them. We show that their Dirichlet forms converge to the Dirichlet form of Brownian motion, using the results above. We also prove a result that is a bit weaker than convergence of the generators in this case.
Finally, these grids allow us to define the Symmetric Exclusion Process (SEP) on a manifold. Using the convergence results above, we follow the line of a proof of Seppäläinen to show that the hydrodynamic limit of the SEP satisfies the heat equation. Some details still need to be filled in, but we believe that this method will allow us to study interacting particle systems and their hydrodynamic limits on Riemannian manifolds.
Before all of this we start with an introduction to Markov processes, their semigroups and generators. In particular we focus on time-reversible (or symmetric) processes and the Dirichlet form with its properties. We also give an introduction to Riemannian manifolds and related notions. ...
In this report we study Markov processes on compact and connected Riemannian manifolds. We define a random walk on such manifolds and give a direct proof of the invariance principle. This principle says that under some conditions on the jumping distributions (i.e. the distributions of single steps), the random walk converges to Brownian motion when space is scaled by 1/N, time by N^2 and N tends to infinity (which has been shown with more general methods by Jorgensen and by Blum). To prove this, we show convergence of the generators on the set of smooth functions and we apply the Trotter-Kurtz theorem (as has been done by Blum, in a rather sketchy way and in a slightly different setting). We also show convergence of the corresponding Dirichlet forms. Then we show that the conditions on the jumping distributions are satisfied if they are compactly supported and have mean 0 and a covariance matrix which is invariant under orthogonal transformations.
Next, we define random grids on a Riemannian manifold and we define random walks on them. We show that their Dirichlet forms converge to the Dirichlet form of Brownian motion, using the results above. We also prove a result that is a bit weaker than convergence of the generators in this case.
Finally, these grids allow us to define the Symmetric Exclusion Process (SEP) on a manifold. Using the convergence results above, we follow the line of a proof of Seppäläinen to show that the hydrodynamic limit of the SEP satisfies the heat equation. Some details still need to be filled in, but we believe that this method will allow us to study interacting particle systems and their hydrodynamic limits on Riemannian manifolds.
Before all of this we start with an introduction to Markov processes, their semigroups and generators. In particular we focus on time-reversible (or symmetric) processes and the Dirichlet form with its properties. We also give an introduction to Riemannian manifolds and related notions.
Next, we define random grids on a Riemannian manifold and we define random walks on them. We show that their Dirichlet forms converge to the Dirichlet form of Brownian motion, using the results above. We also prove a result that is a bit weaker than convergence of the generators in this case.
Finally, these grids allow us to define the Symmetric Exclusion Process (SEP) on a manifold. Using the convergence results above, we follow the line of a proof of Seppäläinen to show that the hydrodynamic limit of the SEP satisfies the heat equation. Some details still need to be filled in, but we believe that this method will allow us to study interacting particle systems and their hydrodynamic limits on Riemannian manifolds.
Before all of this we start with an introduction to Markov processes, their semigroups and generators. In particular we focus on time-reversible (or symmetric) processes and the Dirichlet form with its properties. We also give an introduction to Riemannian manifolds and related notions.