Gapless Hamiltonians for the Toric Code Using the Projected Entangled Pair State Formalism Supplementary Material
|
|
- Lindsay Neal
- 6 years ago
- Views:
Transcription
1 Gapless Hamiltonians for the Toric Code Using the Projected ntangled Pair State Formalism Supplementary Material Carlos Fernández-González,, Norbert Schuch, 3, 4 Michael M. Wolf, 5 J. Ignacio Cirac, 6 and David Pérez-García Departamento de Física de los Materiales, Universidad Nacional de ducación a Distancia (UND), 8040 Madrid, Spain Departamento de Análisis Matemático & IMI, Universidad Complutense de Madrid, 8040 Madrid, Spain 3 Institute for Quantum Information, California Institute of Technology, MC 305-6, Pasadena, Calfornia 95, USA 4 Institut für Quanteninformation, RWTH Aachen, 5056 Aachen, Germany 5 Department of Mathematics, Technische Universität München, Garching, Germany 6 Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Strasse, Garching, Germany APPNDIX A: GRUND SPAC F TH UNCL HAMILTNIAN FR TH TRIC CD In this appendix, we derive the structure of the ground space of the toric code uncle Hamiltonian. Recall first how parent and uncle Hamiltonians are constructed. eing () the orthogonal projection on (C ) 4 onto the subspace of even (odd) parity spin configurations, we can consider the spaces {, boundary condition and { pos, boundary condition. The parent Hamiltonian is then constructed as the sum over every square sublattice of the projection h loc onto the orthogonal complement of (that is, ker h loc ). The uncle Hamiltonian is constructed in the same way, but its local Hamiltonian h loc has as kernel the space. The structure of the ground space of the parent Hamiltonian can be found in []. We will follow here the same steps in deriving the ground state subspace of the uncle Hamiltonian, allowing the reader interested in further details to find them in []. We will prove in Proposition that the intersection of the kernels of a family of local Hamiltonians h loc effectively acting on a given sublattice with dimension n m, which we will call S nm, keeps having the same structure. It is the vector space: S nm nm nm
2 where { nm span, boundary condition, { nm span pos, boundary condition. Let us note that in nm only even parity boundary conditions give rise to non-zero vectors, and in nm only odd boundary conditions do so. However, as we show in Proposition, the summand disappears when imposing periodic boundary conditions to the full N M lattice, and the ground space of the uncle Hamiltonian is exactly the same as the ground space of the parent Hamiltonian. Let us first prove that the intersection of the kernels of the h loc is indeed described by S nm. The following proposition serves as the first step in an induction over n and m. Proposition (Intersection property) Given a 3 lattice, S C 8 C 8 S S 3. Proof. Let φ be an unnormalized vector in S C 8 C 8 S. This vector can be written in two different ways: ' pos ' ~ pos ~ () W.l.o.g. we can assume that the boundary conditions given by and Ẽ have always even parity, and those given by and Õ have always odd parity. We will now perform the projection on the physical levels in the second column. As different configurations of s and s are orthogonal, this exactly selects this pattern in the second column, and we obtain the equality ' ' ~ ~. () In order to infer the structure of and Õ, we will now project either the first or the third column onto,
3 and use the fact that i) and Õ have odd parity and ii) the resulting tensor network of s and s is equivalent to a projection onto the odd parity subspace. y projecting the first row, we find that 3 ', (3) and by projecting the third row, we obtain a corresponding equation for Õ with a boundary. Re-substituting in (), we find that ; moreover, the new boundary condition has odd parity. Substituting q. (3) and its analog for Õ back into q. (), we obtain ' pos ~ pos, (4) where the sums run over all positions of the tensor inside the gray regions. We now use the same trick to also infer the structure of and Ẽ: We apply the projection in either the first or the third column of q. (4); after re-substituting the resulting conditions, we find that pos 3 pos pos 4 pos. y matching equal patterns of s and s, we can easily check that, 4, and 3. Thus, there exist unique even and odd spin parity boundary conditions and 3 4 which describe the state φ as an element from S 3. Using this argument inductively, we can indeed prove for any contractible rectangle of size n m (or in fact any contractible region) that S nm is equal to the intersection of the kernels of the local Hamiltonians h loc which act inside the region. Proposition (Closure property) The ground space of the uncle Hamiltonian coincides with the ground space of the parent Hamiltonian. Proof. xploiting the σ z symmetry of and tensors, we can prove that for a state to lie in the kernel of every h loc, and therefore in the kernel of H, it should remain invariant under the projection at any two sites connected by any bond onto span{ 00, 0 σ z ( 0 ) σ z ( ) span{ 00,. Let us show why.
4 4 If we denote the identity by, we have and 4 alt. ( ) ( ). The first and last summands remain invariant under projection onto span{ 00 at the sites conected by the bond, and second and third summands under projection onto span{ 0 σ z ( 0 ) σ z ( ). Therefore, if we project onto the sum of these two spaces the tensors remains unchanged. Thus only linear combinations of the identity and σ z may appear in the closure bonds when imposing periodic boundary conditions, and all periodic boundary conditions are necessarily even. Hence, given the full lattice and periodic boundary conditions, the elements in S NM which came from NM need to vanish. Consequently S final, the ground space of the uncle Hamiltonian, is constructed by imposing periodic boundary conditions to NM, and therefore coincides with the ground state subspace of the toric code parent Hamiltonian H TC, whose detailed construction can be found in []. APPNDIX : SPCTRUM F TH UNCL HAMILTNIAN IN TH THRMDYNAMIC LIMIT In this section we prove that, once we fix one of the two dimensions of the lattice, the spectrum of the uncle Hamiltonian H in the thermodynamic limit is R. The proof follows essentially the same steps as the one from [3] for the uncle Hamiltonian of non-injective matrix product states. We sketch the main steps adapted to the toric code case. The tensor appearing in this appendix is the previous one multiplied by a constant so that the MPS corresponding to a column of tensors is in its normal form []. This constant depends on the column size. The thermodynamic limit of H can be studied as acting on the closure of the space S i<j S i,j, where S i,j {φ i,j (X) X, X, i-th col. j-th col. and X runs over all the possible tensors. We will usually omit the location of X whenever this does not matter due to translational invariance of the Hamiltonian. Inside S we can find the space S spanned by vectors with the tensor everywhere but two places in which the tensor is located. In the case the tensors are located in places (i, j) and (k, l) of the lattice, we call this state φ k,l i,j. For each of these vectors, H ( φ k,l i,j ) span{ φkδ k,lδ l iδ i,jδ j, δ i, δ j, δ k, δ l {, 0,. Therefore, H (S ) S. Moreover, H S is bounded, and consequently it can be uniquely extended to S, coinciding on this space with the self-adjoint extension of H to S, also called H. Further study of self-adjoint extensions of unbounded symmetric operators can be found in [4]. The unnormalized states φ r,n, constructed as those from equation (4) for rectangular r N regions, lie in S, and let us determine that H S is gapless and there exists a sequence of elements in the spectrum {λ i i tending to 0. And one can find Weyl sequences in S associated to these values : H( ϕ λi,j ) λ i ϕ λi,j ϕ λi,j j 0. Using density arguments one can find these Weyl sequences lying in S. For any given λ i and any δ > 0 there exists a state φ i,δ which is almost an eigenvector of H for the value λ i with an error at most δ, which means (H λ i I) φ i,δ δ φ i,δ.
5 If we write two or more of these states as φ i,δ φ(x ) and φ i,δ φ(x ), we can construct a new X by concatenating X and X separated by at least two columns of tensors. We can call φ (X, X ) such a vector the subindex indicates how many columns with tensors are between X and X. This vector is an approximated eigenvector of H for λ i λ i with an error at most δ δ. Let us prove that. The first thing we need to note is that for any φ(x) there exists a tensor X such that H ( φ i,j (X) ) φ i,j (X ) H i-th col. X j-th col. Due to the locality of H, we have that H ( φ (X, X ) ) φ (X, X ) φ (X, X ) δδ λ i φ (X, X ) λ i φ (X, X ) (λ i λ i ) φ (X, X ). This family of vectors let us see that any finite sum of λ i lies in the spectrum of H. The set of finite sums of a sequence of elements tending to 0 is dense in the positive real line, and the spectrum is closed, hence σ(h ) R. The same tensors X i and X i can be used in vectors in big enough finite dimensional lattices to show that the spectra of the uncle Hamiltonians H on finite dimensional lattices tend to be dense in the positive real line. A similar treatment is detailed in [3]. i-th col. X' j-th col. 5 [] D. Perez-Garcia, F. Verstraete, M. M. Wolf, and J. I. Cirac, Quant. Inf. Comput. 7, 40 (007), quant-ph/ [] N. Schuch, I. Cirac, and D. Pérez-García, Annals of Physics 35, 53 (00), arxiv: [3] C. Fernández-González, N. Schuch, M. M. Wolf, J. I. Cirac, and D. Pérez-García, arxiv: [4] J.. Conway, A Course in Functional Analysis, Springer (990).
Preparing Projected Entangled Pair States on a Quantum Computer
Preparing Projected Entangled Pair States on a Quantum Computer Martin Schwarz, Kristan Temme, Frank Verstraete University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Vienna, Austria Toby Cubitt,
More informationQuantum simulation with string-bond states: Joining PEPS and Monte Carlo
Quantum simulation with string-bond states: Joining PEPS and Monte Carlo N. Schuch 1, A. Sfondrini 1,2, F. Mezzacapo 1, J. Cerrillo 1,3, M. Wolf 1,4, F. Verstraete 5, I. Cirac 1 1 Max-Planck-Institute
More informationMatrix Product Operators: Algebras and Applications
Matrix Product Operators: Algebras and Applications Frank Verstraete Ghent University and University of Vienna Nick Bultinck, Jutho Haegeman, Michael Marien Burak Sahinoglu, Dominic Williamson Ignacio
More information4 Matrix product states
Physics 3b Lecture 5 Caltech, 05//7 4 Matrix product states Matrix product state (MPS) is a highly useful tool in the study of interacting quantum systems in one dimension, both analytically and numerically.
More informationQuantum Information and Quantum Many-body Systems
Quantum Information and Quantum Many-body Systems Lecture 1 Norbert Schuch California Institute of Technology Institute for Quantum Information Quantum Information and Quantum Many-Body Systems Aim: Understand
More informationGlobal Quantum Computation: Error Correction and Fault Tolerance
Global Quantum Computation: Error Correction and Fault Tolerance Jason Twamley Centre for Quantum Computer Technology, Macquarie University, Sydney, Australia Joseph Fitzsimons Department of Materials,
More information3 Symmetry Protected Topological Phase
Physics 3b Lecture 16 Caltech, 05/30/18 3 Symmetry Protected Topological Phase 3.1 Breakdown of noninteracting SPT phases with interaction Building on our previous discussion of the Majorana chain and
More informationFermionic topological quantum states as tensor networks
order in topological quantum states as Jens Eisert, Freie Universität Berlin Joint work with Carolin Wille and Oliver Buerschaper Symmetry, topology, and quantum phases of matter: From to physical realizations,
More informationUnderstanding Topological Order with PEPS. David Pérez-García Autrans Summer School 2016
Understanding Topological Order with PEPS David Pérez-García Autrans Summer School 2016 Outlook 1. An introduc
More informationA REPRESENTATION THEOREM FOR ORTHOGONALLY ADDITIVE POLYNOMIALS ON RIESZ SPACES
A REPRESENTATION THEOREM FOR ORTHOGONALLY ADDITIVE POLYNOMIALS ON RIESZ SPACES A. IBORT, P. LINARES AND J.G. LLAVONA Abstract. The aim of this article is to prove a representation theorem for orthogonally
More informationFrustration-free Ground States of Quantum Spin Systems 1
1 Davis, January 19, 2011 Frustration-free Ground States of Quantum Spin Systems 1 Bruno Nachtergaele (UC Davis) based on joint work with Sven Bachmann, Spyridon Michalakis, Robert Sims, and Reinhard Werner
More information08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms
(February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops
More informationFrustration-free Ground States of Quantum Spin Systems 1
1 FRG2011, Harvard, May 19, 2011 Frustration-free Ground States of Quantum Spin Systems 1 Bruno Nachtergaele (UC Davis) based on joint work with Sven Bachmann, Spyridon Michalakis, Robert Sims, and Reinhard
More informationEntanglement spectrum and Matrix Product States
Entanglement spectrum and Matrix Product States Frank Verstraete J. Haegeman, D. Draxler, B. Pirvu, V. Stojevic, V. Zauner, I. Pizorn I. Cirac (MPQ), T. Osborne (Hannover), N. Schuch (Aachen) Outline Valence
More informationLecture 10: A (Brief) Introduction to Group Theory (See Chapter 3.13 in Boas, 3rd Edition)
Lecture 0: A (Brief) Introduction to Group heory (See Chapter 3.3 in Boas, 3rd Edition) Having gained some new experience with matrices, which provide us with representations of groups, and because symmetries
More informationREPRESENTATIONS OF S n AND GL(n, C)
REPRESENTATIONS OF S n AND GL(n, C) SEAN MCAFEE 1 outline For a given finite group G, we have that the number of irreducible representations of G is equal to the number of conjugacy classes of G Although
More informationEXTENSION OF BILINEAR FORMS FROM SUBSPACES OF L 1 -SPACES
Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 27, 2002, 91 96 EXENSION OF BILINEAR FORMS FROM SUBSPACES OF L 1 -SPACES Jesús M. F. Castillo, Ricardo García and Jesús A. Jaramillo Universidad
More informationCOMMON COMPLEMENTS OF TWO SUBSPACES OF A HILBERT SPACE
COMMON COMPLEMENTS OF TWO SUBSPACES OF A HILBERT SPACE MICHAEL LAUZON AND SERGEI TREIL Abstract. In this paper we find a necessary and sufficient condition for two closed subspaces, X and Y, of a Hilbert
More informationIRREDUCIBLE REPRESENTATIONS OF SEMISIMPLE LIE ALGEBRAS. Contents
IRREDUCIBLE REPRESENTATIONS OF SEMISIMPLE LIE ALGEBRAS NEEL PATEL Abstract. The goal of this paper is to study the irreducible representations of semisimple Lie algebras. We will begin by considering two
More informationk times l times n times
1. Tensors on vector spaces Let V be a finite dimensional vector space over R. Definition 1.1. A tensor of type (k, l) on V is a map T : V V R k times l times which is linear in every variable. Example
More informationDiskrete Mathematik und Optimierung
Diskrete Mathematik und Optimierung Steffen Hitzemann and Winfried Hochstättler: On the Combinatorics of Galois Numbers Technical Report feu-dmo012.08 Contact: steffen.hitzemann@arcor.de, winfried.hochstaettler@fernuni-hagen.de
More informationConsistent Histories. Chapter Chain Operators and Weights
Chapter 10 Consistent Histories 10.1 Chain Operators and Weights The previous chapter showed how the Born rule can be used to assign probabilities to a sample space of histories based upon an initial state
More informationResolvent Algebras. An alternative approach to canonical quantum systems. Detlev Buchholz
Resolvent Algebras An alternative approach to canonical quantum systems Detlev Buchholz Analytical Aspects of Mathematical Physics ETH Zürich May 29, 2013 1 / 19 2 / 19 Motivation Kinematics of quantum
More informationIntroduction to the Mathematics of the XY -Spin Chain
Introduction to the Mathematics of the XY -Spin Chain Günter Stolz June 9, 2014 Abstract In the following we present an introduction to the mathematical theory of the XY spin chain. The importance of this
More informationFermionic tensor networks
Fermionic tensor networks Philippe Corboz, Institute for Theoretical Physics, ETH Zurich Bosons vs Fermions P. Corboz and G. Vidal, Phys. Rev. B 80, 165129 (2009) : fermionic 2D MERA P. Corboz, R. Orus,
More informationQuantum Mechanics Solutions. λ i λ j v j v j v i v i.
Quantum Mechanics Solutions 1. (a) If H has an orthonormal basis consisting of the eigenvectors { v i } of A with eigenvalues λ i C, then A can be written in terms of its spectral decomposition as A =
More informationAnalytic Fredholm Theory
Analytic Fredholm Theory Ethan Y. Jaffe The purpose of this note is to prove a version of analytic Fredholm theory, and examine a special case. Theorem 1.1 (Analytic Fredholm Theory). Let Ω be a connected
More informationOn Unitary Relations between Kre n Spaces
RUDI WIETSMA On Unitary Relations between Kre n Spaces PROCEEDINGS OF THE UNIVERSITY OF VAASA WORKING PAPERS 2 MATHEMATICS 1 VAASA 2011 III Publisher Date of publication Vaasan yliopisto August 2011 Author(s)
More informationarxiv: v1 [math.gr] 8 Nov 2008
SUBSPACES OF 7 7 SKEW-SYMMETRIC MATRICES RELATED TO THE GROUP G 2 arxiv:0811.1298v1 [math.gr] 8 Nov 2008 ROD GOW Abstract. Let K be a field of characteristic different from 2 and let C be an octonion algebra
More informationNeural Network Representation of Tensor Network and Chiral States
Neural Network Representation of Tensor Network and Chiral States Yichen Huang ( 黄溢辰 ) 1 and Joel E. Moore 2 1 Institute for Quantum Information and Matter California Institute of Technology 2 Department
More informationDot Products. K. Behrend. April 3, Abstract A short review of some basic facts on the dot product. Projections. The spectral theorem.
Dot Products K. Behrend April 3, 008 Abstract A short review of some basic facts on the dot product. Projections. The spectral theorem. Contents The dot product 3. Length of a vector........................
More information(1.) For any subset P S we denote by L(P ) the abelian group of integral relations between elements of P, i.e. L(P ) := ker Z P! span Z P S S : For ea
Torsion of dierentials on toric varieties Klaus Altmann Institut fur reine Mathematik, Humboldt-Universitat zu Berlin Ziegelstr. 13a, D-10099 Berlin, Germany. E-mail: altmann@mathematik.hu-berlin.de Abstract
More information1 9/5 Matrices, vectors, and their applications
1 9/5 Matrices, vectors, and their applications Algebra: study of objects and operations on them. Linear algebra: object: matrices and vectors. operations: addition, multiplication etc. Algorithms/Geometric
More informationMatrix product approximations to multipoint functions in two-dimensional conformal field theory
Matrix product approximations to multipoint functions in two-dimensional conformal field theory Robert Koenig (TUM) and Volkher B. Scholz (Ghent University) based on arxiv:1509.07414 and 1601.00470 (published
More informationMANIFOLD STRUCTURES IN ALGEBRA
MANIFOLD STRUCTURES IN ALGEBRA MATTHEW GARCIA 1. Definitions Our aim is to describe the manifold structure on classical linear groups and from there deduce a number of results. Before we begin we make
More informationA classification of gapped Hamiltonians in d = 1
A classification of gapped Hamiltonians in d = 1 Sven Bachmann Mathematisches Institut Ludwig-Maximilians-Universität München Joint work with Yoshiko Ogata NSF-CBMS school on quantum spin systems Sven
More informationCOMMUTING PAIRS AND TRIPLES OF MATRICES AND RELATED VARIETIES
COMMUTING PAIRS AND TRIPLES OF MATRICES AND RELATED VARIETIES ROBERT M. GURALNICK AND B.A. SETHURAMAN Abstract. In this note, we show that the set of all commuting d-tuples of commuting n n matrices that
More informationPRIME NON-COMMUTATIVE JB -ALGEBRAS
PRIME NON-COMMUTATIVE JB -ALGEBRAS KAIDI EL AMIN, ANTONIO MORALES CAMPOY and ANGEL RODRIGUEZ PALACIOS Abstract We prove that if A is a prime non-commutative JB -algebra which is neither quadratic nor commutative,
More information4 Hilbert spaces. The proof of the Hilbert basis theorem is not mathematics, it is theology. Camille Jordan
The proof of the Hilbert basis theorem is not mathematics, it is theology. Camille Jordan Wir müssen wissen, wir werden wissen. David Hilbert We now continue to study a special class of Banach spaces,
More informationLecture 11: Clifford algebras
Lecture 11: Clifford algebras In this lecture we introduce Clifford algebras, which will play an important role in the rest of the class. The link with K-theory is the Atiyah-Bott-Shapiro construction
More informationPositive Tensor Network approach for simulating open quantum many-body systems
Positive Tensor Network approach for simulating open quantum many-body systems 19 / 9 / 2016 A. Werner, D. Jaschke, P. Silvi, M. Kliesch, T. Calarco, J. Eisert and S. Montangero PRL 116, 237201 (2016)
More informationMachine Learning with Tensor Networks
Machine Learning with Tensor Networks E.M. Stoudenmire and David J. Schwab Advances in Neural Information Processing 29 arxiv:1605.05775 Beijing Jun 2017 Machine learning has physics in its DNA # " # #
More informationSupplementary Notes on Linear Algebra
Supplementary Notes on Linear Algebra Mariusz Wodzicki May 3, 2015 1 Vector spaces 1.1 Coordinatization of a vector space 1.1.1 Given a basis B = {b 1,..., b n } in a vector space V, any vector v V can
More informationATELIER INFORMATION QUANTIQUE ET MÉCANIQUE STATISTIQUE QUANTIQUE WORKSHOP QUANTUM INFORMATION AND QUANTUM STATISTICAL MECHANICS
HORAIRE / PROGRAM ATELIER INFORMATION QUANTIQUE ET MÉCANIQUE STATISTIQUE QUANTIQUE 15 au 19 octobre 2018 WORKSHOP QUANTUM INFORMATION AND QUANTUM STATISTICAL MECHANICS October 15 19, 2018 CONFÉRENCES :
More informationSYMPLECTIC GEOMETRY: LECTURE 5
SYMPLECTIC GEOMETRY: LECTURE 5 LIAT KESSLER Let (M, ω) be a connected compact symplectic manifold, T a torus, T M M a Hamiltonian action of T on M, and Φ: M t the assoaciated moment map. Theorem 0.1 (The
More informationMachine Learning with Quantum-Inspired Tensor Networks
Machine Learning with Quantum-Inspired Tensor Networks E.M. Stoudenmire and David J. Schwab Advances in Neural Information Processing 29 arxiv:1605.05775 RIKEN AICS - Mar 2017 Collaboration with David
More informationSIMPLE AND POSITIVE ROOTS
SIMPLE AND POSITIVE ROOTS JUHA VALKAMA MASSACHUSETTS INSTITUTE OF TECHNOLOGY Let V be a Euclidean space, i.e. a real finite dimensional linear space with a symmetric positive definite inner product,. We
More informationIntroduction to Group Theory
Chapter 10 Introduction to Group Theory Since symmetries described by groups play such an important role in modern physics, we will take a little time to introduce the basic structure (as seen by a physicist)
More informationDef. A topological space X is disconnected if it admits a non-trivial splitting: (We ll abbreviate disjoint union of two subsets A and B meaning A B =
CONNECTEDNESS-Notes Def. A topological space X is disconnected if it admits a non-trivial splitting: X = A B, A B =, A, B open in X, and non-empty. (We ll abbreviate disjoint union of two subsets A and
More informationGeometry. Separating Maps of the Lattice E 8 and Triangulations of the Eight-Dimensional Torus. G. Dartois and A. Grigis.
Discrete Comput Geom 3:555 567 (000) DOI: 0.007/s004540000 Discrete & Computational Geometry 000 Springer-Verlag New York Inc. Separating Maps of the Lattice E 8 and Triangulations of the Eight-Dimensional
More informationMixed Finite Elements Method
Mixed Finite Elements Method A. Ratnani 34, E. Sonnendrücker 34 3 Max-Planck Institut für Plasmaphysik, Garching, Germany 4 Technische Universität München, Garching, Germany Contents Introduction 2. Notations.....................................
More informationEquivariant cohomology of infinite-dimensional Grassmannian and shifted Schur functions
Equivariant cohomology of infinite-dimensional Grassmannian and shifted Schur functions Jia-Ming (Frank) Liou, Albert Schwarz February 28, 2012 1. H = L 2 (S 1 ): the space of square integrable complex-valued
More informationThe computational difficulty of finding MPS ground states
The computational difficulty of finding MPS ground states Norbert Schuch 1, Ignacio Cirac 1, and Frank Verstraete 2 1 Max-Planck-Institute for Quantum Optics, Garching, Germany 2 University of Vienna,
More informationA NATURAL EXTENSION OF THE YOUNG PARTITIONS LATTICE
A NATURAL EXTENSION OF THE YOUNG PARTITIONS LATTICE C. BISI, G. CHIASELOTTI, G. MARINO, P.A. OLIVERIO Abstract. Recently Andrews introduced the concept of signed partition: a signed partition is a finite
More informationCitation Osaka Journal of Mathematics. 43(2)
TitleIrreducible representations of the Author(s) Kosuda, Masashi Citation Osaka Journal of Mathematics. 43(2) Issue 2006-06 Date Text Version publisher URL http://hdl.handle.net/094/0396 DOI Rights Osaka
More informationDot Products, Transposes, and Orthogonal Projections
Dot Products, Transposes, and Orthogonal Projections David Jekel November 13, 2015 Properties of Dot Products Recall that the dot product or standard inner product on R n is given by x y = x 1 y 1 + +
More informationSPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS
SPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS TSOGTGEREL GANTUMUR Abstract. After establishing discrete spectra for a large class of elliptic operators, we present some fundamental spectral properties
More informationAnswer Key for Exam #2
. Use elimination on an augmented matrix: Answer Key for Exam # 4 4 8 4 4 4 The fourth column has no pivot, so x 4 is a free variable. The corresponding system is x + x 4 =, x =, x x 4 = which we solve
More informationSymplectic Structures in Quantum Information
Symplectic Structures in Quantum Information Vlad Gheorghiu epartment of Physics Carnegie Mellon University Pittsburgh, PA 15213, U.S.A. June 3, 2010 Vlad Gheorghiu (CMU) Symplectic struct. in Quantum
More informationMatrix Product States for Lattice Field Theories
a, K. Cichy bc, J. I. Cirac a, K. Jansen b and H. Saito bd a Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Str. 1, 85748 Garching, Germany b NIC, DESY Zeuthen, Platanenallee 6, 15738 Zeuthen, Germany
More informationCriteria for Determining If A Subset is a Subspace
These notes closely follow the presentation of the material given in David C. Lay s textbook Linear Algebra and its Applications (3rd edition). These notes are intended primarily for in-class presentation
More informationThe Spinor Representation
The Spinor Representation Math G4344, Spring 2012 As we have seen, the groups Spin(n) have a representation on R n given by identifying v R n as an element of the Clifford algebra C(n) and having g Spin(n)
More informationIntroduction to Arithmetic Geometry Fall 2013 Lecture #17 11/05/2013
18.782 Introduction to Arithmetic Geometry Fall 2013 Lecture #17 11/05/2013 Throughout this lecture k denotes an algebraically closed field. 17.1 Tangent spaces and hypersurfaces For any polynomial f k[x
More informationMath 350 Fall 2011 Notes about inner product spaces. In this notes we state and prove some important properties of inner product spaces.
Math 350 Fall 2011 Notes about inner product spaces In this notes we state and prove some important properties of inner product spaces. First, recall the dot product on R n : if x, y R n, say x = (x 1,...,
More informationMath 396. Quotient spaces
Math 396. Quotient spaces. Definition Let F be a field, V a vector space over F and W V a subspace of V. For v, v V, we say that v v mod W if and only if v v W. One can readily verify that with this definition
More informationLECTURE 11: SYMPLECTIC TORIC MANIFOLDS. Contents 1. Symplectic toric manifolds 1 2. Delzant s theorem 4 3. Symplectic cut 8
LECTURE 11: SYMPLECTIC TORIC MANIFOLDS Contents 1. Symplectic toric manifolds 1 2. Delzant s theorem 4 3. Symplectic cut 8 1. Symplectic toric manifolds Orbit of torus actions. Recall that in lecture 9
More informationTRANSITIVE HOLONOMY GROUP AND RIGIDITY IN NONNEGATIVE CURVATURE. Luis Guijarro and Gerard Walschap
TRANSITIVE HOLONOMY GROUP AND RIGIDITY IN NONNEGATIVE CURVATURE Luis Guijarro and Gerard Walschap Abstract. In this note, we examine the relationship between the twisting of a vector bundle ξ over a manifold
More informationAlmost Invariant Half-Spaces of Operators on Banach Spaces
Integr. equ. oper. theory Online First c 2009 Birkhäuser Verlag Basel/Switzerland DOI 10.1007/s00020-009-1708-8 Integral Equations and Operator Theory Almost Invariant Half-Spaces of Operators on Banach
More informationCS 229r: Algorithms for Big Data Fall Lecture 19 Nov 5
CS 229r: Algorithms for Big Data Fall 215 Prof. Jelani Nelson Lecture 19 Nov 5 Scribe: Abdul Wasay 1 Overview In the last lecture, we started discussing the problem of compressed sensing where we are given
More informationREAL RENORMINGS ON COMPLEX BANACH SPACES
REAL RENORMINGS ON COMPLEX BANACH SPACES F. J. GARCÍA PACHECO AND A. MIRALLES Abstract. In this paper we provide two ways of obtaining real Banach spaces that cannot come from complex spaces. In concrete
More informationLINKED HOM SPACES BRIAN OSSERMAN
LINKED HOM SPACES BRIAN OSSERMAN Abstract. In this note, we describe a theory of linked Hom spaces which complements that of linked Grassmannians. Given two chains of vector bundles linked by maps in both
More informationSolutions: We leave the conversione between relation form and span form for the reader to verify. x 1 + 2x 2 + 3x 3 = 0
6.2. Orthogonal Complements and Projections In this section we discuss orthogonal complements and orthogonal projections. The orthogonal complement of a subspace S is the set of all vectors orthgonal to
More informationV. SUBSPACES AND ORTHOGONAL PROJECTION
V. SUBSPACES AND ORTHOGONAL PROJECTION In this chapter we will discuss the concept of subspace of Hilbert space, introduce a series of subspaces related to Haar wavelet, explore the orthogonal projection
More information1. To be a grandfather. Objects of our consideration are people; a person a is associated with a person b if a is a grandfather of b.
20 [161016-1020 ] 3.3 Binary relations In mathematics, as in everyday situations, we often speak about a relationship between objects, which means an idea of two objects being related or associated one
More informationPart V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory
Part V 7 Introduction: What are measures and why measurable sets Lebesgue Integration Theory Definition 7. (Preliminary). A measure on a set is a function :2 [ ] such that. () = 2. If { } = is a finite
More informationAlgebraic Methods in Combinatorics
Algebraic Methods in Combinatorics Po-Shen Loh 27 June 2008 1 Warm-up 1. (A result of Bourbaki on finite geometries, from Răzvan) Let X be a finite set, and let F be a family of distinct proper subsets
More informationx 1 + 2x 2 + 3x 3 = 0 x 1 + 2x 2 + 3x 3 = 0, x 2 + x 3 = 0 x 3 3 x 3 1
. Orthogonal Complements and Projections In this section we discuss orthogonal complements and orthogonal projections. The orthogonal complement of a subspace S is the complement that is orthogonal to
More informationarxiv: v2 [math-ph] 24 Feb 2016
ON THE CLASSIFICATION OF MULTIDIMENSIONALLY CONSISTENT 3D MAPS MATTEO PETRERA AND YURI B. SURIS Institut für Mathemat MA 7-2 Technische Universität Berlin Str. des 17. Juni 136 10623 Berlin Germany arxiv:1509.03129v2
More informationThe Singularly Continuous Spectrum and Non-Closed Invariant Subspaces
Operator Theory: Advances and Applications, Vol. 160, 299 309 c 2005 Birkhäuser Verlag Basel/Switzerland The Singularly Continuous Spectrum and Non-Closed Invariant Subspaces Vadim Kostrykin and Konstantin
More informationA PRIMER ON SESQUILINEAR FORMS
A PRIMER ON SESQUILINEAR FORMS BRIAN OSSERMAN This is an alternative presentation of most of the material from 8., 8.2, 8.3, 8.4, 8.5 and 8.8 of Artin s book. Any terminology (such as sesquilinear form
More informationORDERED INVOLUTIVE OPERATOR SPACES
ORDERED INVOLUTIVE OPERATOR SPACES DAVID P. BLECHER, KAY KIRKPATRICK, MATTHEW NEAL, AND WEND WERNER Abstract. This is a companion to recent papers of the authors; here we consider the selfadjoint operator
More informationAnalysis Preliminary Exam Workshop: Hilbert Spaces
Analysis Preliminary Exam Workshop: Hilbert Spaces 1. Hilbert spaces A Hilbert space H is a complete real or complex inner product space. Consider complex Hilbert spaces for definiteness. If (, ) : H H
More informationOn the Diffeomorphism Group of S 1 S 2. Allen Hatcher
On the Diffeomorphism Group of S 1 S 2 Allen Hatcher This is a revision, written in December 2003, of a paper of the same title that appeared in the Proceedings of the AMS 83 (1981), 427-430. The main
More informationRank & nullity. Defn. Let T : V W be linear. We define the rank of T to be rank T = dim im T & the nullity of T to be nullt = dim ker T.
Rank & nullity Aim lecture: We further study vector space complements, which is a tool which allows us to decompose linear problems into smaller ones. We give an algorithm for finding complements & an
More information1 Invariant subspaces
MATH 2040 Linear Algebra II Lecture Notes by Martin Li Lecture 8 Eigenvalues, eigenvectors and invariant subspaces 1 In previous lectures we have studied linear maps T : V W from a vector space V to another
More information(III.D) Linear Functionals II: The Dual Space
IIID Linear Functionals II: The Dual Space First I remind you that a linear functional on a vector space V over R is any linear transformation f : V R In IIIC we looked at a finite subspace [=derivations]
More informationAppendix A: Matrices
Appendix A: Matrices A matrix is a rectangular array of numbers Such arrays have rows and columns The numbers of rows and columns are referred to as the dimensions of a matrix A matrix with, say, 5 rows
More informationQuantum Mechanics Solutions
Quantum Mechanics Solutions (a (i f A and B are Hermitian, since (AB = B A = BA, operator AB is Hermitian if and only if A and B commute So, we know that [A,B] = 0, which means that the Hilbert space H
More informationPart III Symmetries, Fields and Particles
Part III Symmetries, Fields and Particles Theorems Based on lectures by N. Dorey Notes taken by Dexter Chua Michaelmas 2016 These notes are not endorsed by the lecturers, and I have modified them (often
More informationarxiv: v1 [cond-mat.str-el] 7 Aug 2011
Topological Geometric Entanglement of Blocks Román Orús 1, 2 and Tzu-Chieh Wei 3, 4 1 School of Mathematics and Physics, The University of Queensland, QLD 4072, Australia 2 Max-Planck-Institut für Quantenoptik,
More informationW if p = 0; ; W ) if p 1. p times
Alternating and symmetric multilinear functions. Suppose and W are normed vector spaces. For each integer p we set {0} if p < 0; W if p = 0; ( ; W = L( }... {{... } ; W if p 1. p times We say µ p ( ; W
More informationSelf-adjoint extensions of symmetric operators
Self-adjoint extensions of symmetric operators Simon Wozny Proseminar on Linear Algebra WS216/217 Universität Konstanz Abstract In this handout we will first look at some basics about unbounded operators.
More information5 Quiver Representations
5 Quiver Representations 5. Problems Problem 5.. Field embeddings. Recall that k(y,..., y m ) denotes the field of rational functions of y,..., y m over a field k. Let f : k[x,..., x n ] k(y,..., y m )
More informationNORMS ON SPACE OF MATRICES
NORMS ON SPACE OF MATRICES. Operator Norms on Space of linear maps Let A be an n n real matrix and x 0 be a vector in R n. We would like to use the Picard iteration method to solve for the following system
More informationIntroduction to Modern Quantum Field Theory
Department of Mathematics University of Texas at Arlington Arlington, TX USA Febuary, 2016 Recall Einstein s famous equation, E 2 = (Mc 2 ) 2 + (c p) 2, where c is the speed of light, M is the classical
More informationADJOINTS, ABSOLUTE VALUES AND POLAR DECOMPOSITIONS
J. OPERATOR THEORY 44(2000), 243 254 c Copyright by Theta, 2000 ADJOINTS, ABSOLUTE VALUES AND POLAR DECOMPOSITIONS DOUGLAS BRIDGES, FRED RICHMAN and PETER SCHUSTER Communicated by William B. Arveson Abstract.
More informationAn Outline of Homology Theory
An Outline of Homology Theory Stephen A. Mitchell June 1997, revised October 2001 Note: These notes contain few examples and even fewer proofs. They are intended only as an outline, to be supplemented
More informationMath 541 Fall 2008 Connectivity Transition from Math 453/503 to Math 541 Ross E. Staffeldt-August 2008
Math 541 Fall 2008 Connectivity Transition from Math 453/503 to Math 541 Ross E. Staffeldt-August 2008 Closed sets We have been operating at a fundamental level at which a topological space is a set together
More informationProjection-valued measures and spectral integrals
Projection-valued measures and spectral integrals Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto April 16, 2014 Abstract The purpose of these notes is to precisely define
More informationarxiv:quant-ph/ v1 19 Mar 2006
On the simulation of quantum circuits Richard Jozsa Department of Computer Science, University of Bristol, Merchant Venturers Building, Bristol BS8 1UB U.K. Abstract arxiv:quant-ph/0603163v1 19 Mar 2006
More information