Ivancevic_Applied-Diff-Geom

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Applied Bundle Geometry 573The geometry of Z on TM gives a way of globally pulling out the adjointJacobi equation from the PMP in an intrinsic manner, which is not generallypossible in the PMP [Lewis (2000b)].4.9.6 Brain–Like Control Functor in BiodynamicsIn this final section we propose our most recent model [Ivancevic and Beagley(2005)] of the complete biodynamical brain–like control functor. Thisis a neurodynamical reflection on our covariant force law, F i = mg ij a j ,and its associated covariant force functor F ∗ : T T ∗ M → T T M (see section3.13.4.1 above).Recall that traditional hierarchical robot control (see, e.g., [Vukobratovicand Stokic (1982); Vukobratovic et al. (1990)]) consists of three levels:the executive control–level (at the bottom) performs tracking of nominaltrajectories in internal–joint coordinates, the strategic control–level (atthe top) performs ‘planning’ of trajectories of an end–effector in external–Cartesian coordinates, and the tactical control–level (in the middle) connectsother two levels by means of inverse kinematics.The modern version of the hierarchical robot control includes decision–making done by the neural (or, neuro–fuzzy) classifier to adapt the (manipulator)control to dynamically changing environment.On the other hand, the so–called ‘intelligent’ approach to robot controltypically represents a form of function approximation, which is itself basedon some combination of neuro–fuzzy–genetic computations. Many specialissues and workshops focusing on physiological models for robot controlreflect the increased attention for the development of cerebellar models [vander Smagt (1999); Schaal and Atkeson (1998); Schaal (1999); Schaal (1998);Arbib (1998)] for learning robot control with functional decomposition,where the main result could be formulated as: the cerebellum is more thenjust the function approximator.In this section we try to fit between these three approaches for humanoidcontrol, emphasizing the role of muscle–like robot actuators. Wepropose a new, physiologically based, tensor–invariant, hierarchical forcecontrol (FC, for short) for the physiologically realistic biodynamics. Weconsider the muscular torque one–forms F i as the most important componentof human–like motion; therefore we propose the sophisticated hierarchicalsystem for the subtle F i −-control: corresponding to the spinal, thecerebellar and cortical levels of human motor control. F i are first set–upas testing input–signals to biodynamics, and then covariantly updated as
574 Applied Differential Geometry: A Modern Introductionfeedback 1−forms u i on each FC–level. On the spinal FC–level the nominaljoint–trajectory tracking is proposed in the form of affine Hamiltoniancontrol; here the driving torques are given corrections by spinal–reflexcontrols. On the cerebellar FC–level, the relation is established betweencanonical joint coordinates q i , p i and gradient neural–image coordinatesx i , y i , representing bidirectional, self–organized, associative memory machine;here the driving torques are given the cerebellar corrections. On thecortical FC–level the topological ‘hyper–joystick’ is proposed as the centralFC command–space, selector, with the fuzzy–logic feedback–control mapdefined on it, giving the cortical corrections to the driving torques.The model of the spinal FC–level formulated here resembles autogeneticmotor servo, acting on the spinal–reflex level of the human locomotor control.The model of the cerebellar FC–level formulated here mimics theself–organizing, associative function of the excitatory granule cells and theinhibitory Purkinje cells of the cerebellum [Houk et al. (1996)]. The modelof the cortical FC–level presented in this section mimics the synergisticregulation of locomotor conditioned reflexes by the cerebellum [Houk et al.(1996)].We believe that (already mentioned) extremely high order of the drivingforce redundancy in biodynamics justifies the formulation of the three–levelforce control system. Also, both brain–like control systems can be easilyextended to give SE(3)−based force control for moving inverse kinematics(IK) chains of legs and arms.4.9.6.1 Functor Control MachineIn this subsection we define the functor control–machine (compare withsection (3.13.4.2) above), for the learning control with functional decomposition,by a two–step generalization of the Kalman’s theory of linearMIMO–feedback systems. The first generalization puts the Kalman’s theoryinto the pair of mutually dual linear categories Vect and Vect ∗ of vectorspaces and linear operators, with a ‘loop–functor’ representing the closed–loop control, thus formulating the unique, categorical formalism valid bothfor the discrete and continual MIMO–systems.We start with the unique, feedforward continual–sequential state equationẋ(t + 1) = Ax(t) + Bu(t), y(t) = Cx(t), (4.66)where the nD vector spaces of state X ∋ x, input U ∋ u, and output
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APPLIEDDIFFERENTIALGEOMETRYA Modern
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APPLIEDDIFFERENTIALGEOMETRYA Modern
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Dedicated to:Nitya, Atma and Kali
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PrefaceApplied Differential Geometr
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ixAcknowledgmentsThe authors wish t
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Glossary of Frequently Used Symbols
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ContentsPrefaceGlossary of Frequent
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Contentsxix2.1.5.2 Forces Acting on
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Contentsxxi3.6.3.4 Stokes Theorem a
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Contentsxxiii3.10.3.1 Basis of Lagr
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Contentsxxv3.17 Applied Unorthodox
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Contentsxxvii4.9.8.2 Geometrodynami
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Contentsxxix4.14.7.5 Monopole Conde
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Contentsxxxi5.12.3 Hawking-Penrose
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Contentsxxxiii6.5.2.4 Dimensional R
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Chapter 1IntroductionIn this introd
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Introduction 3Fig. 1.1 The four cha
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Introduction 5• Riemannian manifo
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Introduction 7charts.The atlas cont
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Introduction 9every point has a nei
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Introduction 11of curves include ci
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Introduction 13the variables define
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Introduction 15U i denotes one of t
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Introduction 17which varies smoothl
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Introduction 19interactions.1.1.5.2
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Introduction 21real number. This co
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Introduction 23Such a force is inde
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Introduction 25tons. In this formul
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Introduction 27vector-field are sol
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Introduction 29or simply connected)
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Introduction 311.1.8 Application: A
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Introduction 33theory itself existe
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Introduction 35mediate the forces.
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Introduction 37theory. 50 Fig. 1.3
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Introduction 39to describe a univer
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Introduction 41which have two disti
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Introduction 43first theory can be
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Introduction 45the Casimir effect,
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Introduction 47• External coordin
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Introduction 49a connection-base de
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Chapter 2Technical Preliminaries: T
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Technical Preliminaries: Tensors, A
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Chapter 3Applied Manifold Geometry3
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Applied Manifold Geometry 139where
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Applied Manifold Geometry 141In loc
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Applied Manifold Geometry 143on the
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Applied Manifold Geometry 145exist
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Applied Manifold Geometry 147then E
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Applied Manifold Geometry 1490D man
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Applied Manifold Geometry 151Fig. 3
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Applied Manifold Geometry 153the fo
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Applied Manifold Geometry 155contin
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Applied Manifold Geometry 157In oth
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Applied Manifold Geometry 159scalar
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Applied Manifold Geometry 1633.6 Te
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Applied Manifold Geometry 165Let ϕ
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Applied Manifold Geometry 1673.6.1.
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Applied Manifold Geometry 169or, if
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Applied Manifold Geometry 171If X i
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Applied Manifold Geometry 173along
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Applied Manifold Geometry 175is dua
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Applied Manifold Geometry 179(1) α
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Applied Manifold Geometry 181diagra
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Applied Manifold Geometry 183Clearl
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Applied Manifold Geometry 187duces,
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Applied Manifold Geometry 189This i
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Applied Manifold Geometry 191Hodge
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Applied Manifold Geometry 193The in
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Applied Manifold Geometry 195since
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Applied Manifold Geometry 197If a l
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Applied Manifold Geometry 199asGive
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Applied Manifold Geometry 209For ex
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Applied Manifold Geometry 211The sp
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Applied Manifold Geometry 213corres
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Applied Manifold Geometry 215corres
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Applied Manifold Geometry 217Specia
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Applied Manifold Geometry 219the co
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Applied Manifold Geometry 221moment
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Applied Manifold Geometry 223produc
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Applied Manifold Geometry 225has a
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Applied Manifold Geometry 2273.8.5
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Applied Manifold Geometry 229in whi
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Applied Manifold Geometry 231with
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Applied Manifold Geometry 233itly:(
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Applied Manifold Geometry 235play t
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Applied Manifold Geometry 237Some r
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Applied Manifold Geometry 239Basic
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Applied Manifold Geometry 241orthog
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Applied Manifold Geometry 243is adm
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Applied Manifold Geometry 245Root S
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Applied Manifold Geometry 247groups
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Applied Manifold Geometry 251second
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Applied Manifold Geometry 255be a v
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Applied Manifold Geometry 257Now, a
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Applied Manifold Geometry 263other
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Applied Manifold Geometry 267result
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Applied Manifold Geometry 2713.10 R
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Applied Manifold Geometry 273More p
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Applied Manifold Geometry 275Y (t 0
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Applied Manifold Geometry 277which
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Applied Manifold Geometry 279for an
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Applied Manifold Geometry 283Thus w
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Applied Manifold Geometry 287evolut
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Applied Manifold Geometry 293‘ren
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Applied Manifold Geometry 295mute;
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Applied Manifold Geometry 297Rather
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Applied Manifold Geometry 299of the
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Applied Manifold Geometry 301clidea
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Applied Manifold Geometry 303Second
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Applied Manifold Geometry 305i.e.,
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Applied Manifold Geometry 307invari
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Applied Manifold Geometry 309The Ba
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Applied Manifold Geometry 311Let us
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Applied Manifold Geometry 313all cu
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Applied Manifold Geometry 315ders.
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Applied Manifold Geometry 317this c
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Applied Manifold Geometry 319In par
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Applied Manifold Geometry 321As I p
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Applied Manifold Geometry 323the fo
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Applied Manifold Geometry 325per (1
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Applied Manifold Geometry 327Genera
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Applied Manifold Geometry 329The ma
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Applied Manifold Geometry 331pretat
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Applied Manifold Geometry 333byMDL
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Applied Manifold Geometry 3353.12 S
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Applied Manifold Geometry 337H 2 (M
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Applied Manifold Geometry 339bracke
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Applied Manifold Geometry 341Any so
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Applied Manifold Geometry 343All on
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Applied Manifold Geometry 345The ac
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Applied Manifold Geometry 347linear
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Applied Manifold Geometry 349such t
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Applied Manifold Geometry 351Let γ
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Applied Manifold Geometry 355chart
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Applied Manifold Geometry 357phase-
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Applied Manifold Geometry 359( ) 0
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Applied Manifold Geometry 361hetero
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Applied Manifold Geometry 363thus c
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Applied Manifold Geometry 365Action
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Applied Manifold Geometry 367and we
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Applied Manifold Geometry 369action
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Applied Manifold Geometry 371and we
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Applied Manifold Geometry 373by (J(
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Applied Manifold Geometry 375fields
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Applied Manifold Geometry 377Let Tx
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Applied Manifold Geometry 381The ve
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Applied Manifold Geometry 383and gi
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Applied Manifold Geometry 385The co
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Applied Manifold Geometry 387tor Ca
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Applied Manifold Geometry 3912 −
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Applied Manifold Geometry 393comple
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Applied Manifold Geometry 395F[C]
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Applied Manifold Geometry 397become
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Applied Manifold Geometry 399of fuz
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Applied Manifold Geometry 401In our
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Applied Manifold Geometry 403Biodyn
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Applied Manifold Geometry 405for T
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Applied Manifold Geometry 407A vari
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Applied Manifold Geometry 409such t
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Applied Manifold Geometry 411of neg
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Applied Manifold Geometry 415Follow
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Applied Manifold Geometry 417and J
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Applied Manifold Geometry 419This t
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Applied Manifold Geometry 421above,
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Applied Manifold Geometry 423As a L
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Applied Manifold Geometry 425Theore
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Applied Manifold Geometry 427real v
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Applied Manifold Geometry 429indepe
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Applied Manifold Geometry 431In ter
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Applied Manifold Geometry 433M, we
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Applied Manifold Geometry 435The cu
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Applied Manifold Geometry 437(iv) (
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. ..Applied Manifold Geometry 441in
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Applied Manifold Geometry 443⌋ is
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Applied Manifold Geometry 445Now, a
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Applied Manifold Geometry 447symmet
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Applied Manifold Geometry 449study
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Applied Manifold Geometry 451togeth
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Applied Manifold Geometry 453result
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Applied Manifold Geometry 455will b
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Applied Manifold Geometry 457g 11 =
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Applied Manifold Geometry 459is def
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Applied Manifold Geometry 461ordere
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Applied Manifold Geometry 463Now, r
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Applied Manifold Geometry 465Simila
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Applied Manifold Geometry 467which
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Applied Manifold Geometry 469From t
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Applied Manifold Geometry 475On the
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Applied Manifold Geometry 477ing di
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Applied Manifold Geometry 479Note t
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Applied Manifold Geometry 481Then w
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Applied Manifold Geometry 483consis
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Chapter 4Applied Bundle Geometry4.1
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Applied Bundle Geometry 487is calle
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Applied Bundle Geometry 489V and an
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Applied Bundle Geometry 4914.3 Vect
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Applied Bundle Geometry 493dimensio
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Applied Bundle Geometry 495orthogon
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Applied Bundle Geometry 497t, is a
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Applied Bundle Geometry 499Let T Y
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Applied Bundle Geometry 501In other
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Applied Bundle Geometry 503we shall
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Applied Bundle Geometry 505Pendulum
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Applied Bundle Geometry 507Using L
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Applied Bundle Geometry 509the isom
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Applied Bundle Geometry 511theory f
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Applied Bundle Geometry 513of the c
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Applied Bundle Geometry 515where Ω
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Applied Bundle Geometry 517nals, th
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Applied Bundle Geometry 519(1985)])
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Applied Bundle Geometry 521finite-d
Page 558 and 559: Applied Bundle Geometry 523and thes
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Page 568 and 569: Applied Bundle Geometry 533is the r
Page 570 and 571: Applied Bundle Geometry 535Now, let
Page 572 and 573: Applied Bundle Geometry 537By cycli
Page 574 and 575: Applied Bundle Geometry 5394.9.2 Fe
Page 576 and 577: Applied Bundle Geometry 541This lin
Page 578 and 579: Applied Bundle Geometry 543(1) L g
Page 580 and 581: Applied Bundle Geometry 545and ω 0
Page 582 and 583: Applied Bundle Geometry 547isfiesω
Page 584 and 585: Applied Bundle Geometry 549of the c
Page 586 and 587: Applied Bundle Geometry 551Controll
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Page 592 and 593: Applied Bundle Geometry 557from res
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Page 596 and 597: Applied Bundle Geometry 561where Z
Page 598 and 599: Applied Bundle Geometry 563Systems
Page 600 and 601: Applied Bundle Geometry 5653. Recal
Page 602 and 603: Applied Bundle Geometry 567Therefor
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Page 610 and 611: Applied Bundle Geometry 575Y ∋ y
Page 612 and 613: Applied Bundle Geometry 577autonomo
Page 614 and 615: Applied Bundle Geometry 579(see 3.1
Page 616 and 617: Applied Bundle Geometry 581and init
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Page 622 and 623: Applied Bundle Geometry 587Fig. 4.9
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Page 636 and 637: Applied Bundle Geometry 601where Ψ
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Page 640 and 641: Applied Bundle Geometry 605where [
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Applied Bundle Geometry 623It follo
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Applied Bundle Geometry 625a produc
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Applied Bundle Geometry 627B Ham(M)
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Applied Bundle Geometry 629b.Let us
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Applied Bundle Geometry 631If P is
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Applied Bundle Geometry 633question
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Applied Bundle Geometry 635spheres
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Applied Bundle Geometry 637be thoug
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Applied Bundle Geometry 639of the b
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Applied Bundle Geometry 641in C 1 (
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Applied Bundle Geometry 643from a t
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Applied Bundle Geometry 645Now let
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Applied Bundle Geometry 647for t <
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Applied Bundle Geometry 649is a Ham
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Applied Bundle Geometry 651The foll
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Applied Bundle Geometry 653is the u
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Applied Bundle Geometry 655every no
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Applied Bundle Geometry 657P × P w
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Applied Bundle Geometry 659that the
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Applied Bundle Geometry 661extend t
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Applied Bundle Geometry 663identity
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Applied Bundle Geometry 665The mapw
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Applied Bundle Geometry 667It is a
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Applied Bundle Geometry 669I Q is i
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Applied Bundle Geometry 671whereC i
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Applied Bundle Geometry 673form Q.
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Applied Bundle Geometry 675τ( exp(
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Applied Bundle Geometry 6774.13.2.2
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Applied Bundle Geometry 679Therefor
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Applied Bundle Geometry 683⎛⎞co
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Applied Bundle Geometry 687on the s
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Applied Bundle Geometry 6914.13.3 P
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Applied Bundle Geometry 693Since T
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Applied Bundle Geometry 695On the o
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Applied Bundle Geometry 697may writ
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Applied Bundle Geometry 699determin
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Applied Bundle Geometry 701section,
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Applied Bundle Geometry 703for deri
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Applied Bundle Geometry 705dictions
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Applied Bundle Geometry 707too sing
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Applied Bundle Geometry 709In (4.18
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Applied Bundle Geometry 713sis repr
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Applied Bundle Geometry 717a (linea
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Applied Bundle Geometry 719past few
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Applied Bundle Geometry 721global q
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Applied Bundle Geometry 7239. It ha
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Applied Bundle Geometry 725needs to
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Applied Bundle Geometry 727pear at
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Applied Bundle Geometry 729X, F A i
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Applied Bundle Geometry 731ifolds,
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Applied Bundle Geometry 733and not
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Applied Bundle Geometry 735under U(
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Applied Bundle Geometry 737N = 2 br
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Applied Bundle Geometry 739thusa
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Applied Bundle Geometry 741antisymm
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Applied Bundle Geometry 743see this
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Applied Bundle Geometry 745Coupling
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Applied Bundle Geometry 747acts as
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Applied Bundle Geometry 749good coo
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Applied Bundle Geometry 751Φ. Brea
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Applied Bundle Geometry 753equating
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Applied Bundle Geometry 755differen
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Applied Bundle Geometry 7574.14.10
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Applied Bundle Geometry 759deformed
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Applied Bundle Geometry 761phenomen
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Applied Bundle Geometry 763appears
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Applied Bundle Geometry 7654.14.10.
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Applied Bundle Geometry 767For J >
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Applied Bundle Geometry 769K 1/2
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Applied Bundle Geometry 771(i) The
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Applied Bundle Geometry 773by α =
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Applied Bundle Geometry 775(4.279)
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Applied Bundle Geometry 777Λ ⊗
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Applied Bundle Geometry 779coupling
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Applied Bundle Geometry 781where we
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Applied Bundle Geometry 783The posi
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Applied Bundle Geometry 785Although
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Applied Bundle Geometry 787Let us a
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Applied Bundle Geometry 789of the t
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Applied Bundle Geometry 791The Riem
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Applied Bundle Geometry 793To compl
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Applied Bundle Geometry 795Ω 1 :Ω
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Chapter 5Applied Jet GeometryModern
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Applied Jet Geometry 799x, with coe
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Applied Jet Geometry 801s i (x), as
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Applied Jet Geometry 803It is conve
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Applied Jet Geometry 805has the 1
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Applied Jet Geometry 807which split
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Applied Jet Geometry 809gives the h
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Applied Jet Geometry 811Furthermore
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Applied Jet Geometry 813This is a c
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Applied Jet Geometry 815Due to this
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Applied Jet Geometry 817The affine
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Applied Jet Geometry 819In particul
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Applied Jet Geometry 821Building on
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Applied Jet Geometry 823on J ∞ (X
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Applied Jet Geometry 825its tangent
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Applied Jet Geometry 827Fig. 5.3 Hi
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Applied Jet Geometry 829It follows
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Applied Jet Geometry 831affine, whi
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Applied Jet Geometry 833where Γ i
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Applied Jet Geometry 8355.6.5 Jacob
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Applied Jet Geometry 837is also the
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Applied Jet Geometry 839A generic m
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Applied Jet Geometry 841where ϑ eH
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Applied Jet Geometry 843Since E L|
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Applied Jet Geometry 845Thus, every
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Applied Jet Geometry 847along u. Ev
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Applied Jet Geometry 849equations c
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Applied Jet Geometry 851A Hamiltoni
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Applied Jet Geometry 853Connections
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Applied Jet Geometry 855Lagrangian
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Applied Jet Geometry 857on V ∗ M.
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Applied Jet Geometry 859contain no
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Applied Jet Geometry 861(ii) For an
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Applied Jet Geometry 8635.6.16 Lyap
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Applied Jet Geometry 865for any t >
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Applied Jet Geometry 867vertical co
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Applied Jet Geometry 869difficulty,
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Applied Jet Geometry 871the energy
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Applied Jet Geometry 873by the tran
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Applied Jet Geometry 875The conditi
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Applied Jet Geometry 877Let Γ = (M
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Applied Jet Geometry 879geometrical
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Applied Jet Geometry 881Let (M, I)
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Applied Jet Geometry 883so referrin
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Applied Jet Geometry 885The Poincar
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Applied Jet Geometry 887where N n
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Applied Jet Geometry 889be a projec
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Applied Jet Geometry 891to differen
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Applied Jet Geometry 893for every c
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Applied Jet Geometry 895vector-fiel
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Applied Jet Geometry 897This is phr
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Applied Jet Geometry 899where a, b
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Applied Jet Geometry 901represent t
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Applied Jet Geometry 903̂L : J 1 (
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Applied Jet Geometry 905space J 1 (
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Applied Jet Geometry 907First of al
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Applied Jet Geometry 909Therefore,
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Applied Jet Geometry 911Recall that
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Applied Jet Geometry 9135.11 Applic
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Applied Jet Geometry 915the vector
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Applied Jet Geometry 9175.11.4 Gaug
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Applied Jet Geometry 9195.11.5 Lagr
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Applied Jet Geometry 921are represe
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Applied Jet Geometry 923which are t
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Applied Jet Geometry 925of this fun
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Applied Jet Geometry 927a principal
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Applied Jet Geometry 929Recall that
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Applied Jet Geometry 931Moreover, t
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Applied Jet Geometry 933other only
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Applied Jet Geometry 935In particul
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Applied Jet Geometry 937Note that,
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Applied Jet Geometry 939This equali
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Applied Jet Geometry 941Then, the s
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Applied Jet Geometry 943In the Lagr
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Applied Jet Geometry 945Let τ be a
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Applied Jet Geometry 947Using (5.42
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Applied Jet Geometry 949associated
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Applied Jet Geometry 951parts,F α
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Applied Jet Geometry 953of the Hilb
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Applied Jet Geometry 955For example
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Applied Jet Geometry 957the convent
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Applied Jet Geometry 959left ideal
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Applied Jet Geometry 961LX → Σ i
Page 998 and 999:
Applied Jet Geometry 963Levi-Civita
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Applied Jet Geometry 965see this fr
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Applied Jet Geometry 967curves. And
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Applied Jet Geometry 969One sees th
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Applied Jet Geometry 971sums over a
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Applied Jet Geometry 973all this to
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Applied Jet Geometry 975universe ev
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Applied Jet Geometry 977on Σ. If M
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Applied Jet Geometry 979(1) Lorentz
Page 1016 and 1017:
Applied Jet Geometry 981terpret thi
Page 1018 and 1019:
Chapter 6Geometrical Path Integrals
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Geometrical Path Integrals and Thei
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BibliographyAblowitz, M.J., Clarkso
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Bibliography 1255equations. Springe
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Bibliography 1257connections, Phys.
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Bibliography 1259JHEP 0003:007.Bran
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Bibliography 1261Clementi, C. Petti
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Bibliography 1263Domany, E., Van He
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Bibliography 1265geometrical signat
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Bibliography 1267Bergmann theory of
Page 1304 and 1305:
Bibliography 1269to Complex Systems
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Bibliography 1271Action for String
Page 1308 and 1309:
Bibliography 1273Ivancevic, V., Bea
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Bibliography 1275Krener, A. (1984).
Page 1312 and 1313:
Bibliography 1277Li, M., Vitanyi, P
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Bibliography 1279Nature, 261(5560),
Page 1316 and 1317:
Bibliography 1281Lambert and R. Gol
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Bibliography 1283dynamics of human
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Bibliography 1285Reshetikhin, N.Yu,
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Bibliography 1287Rev. E, 58, 6333-6
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Bibliography 1289Stasheff, J.D. (19
Page 1326 and 1327:
Bibliography 1291matical Physics. S
Page 1328 and 1329:
Bibliography 1293Witten, E. (1991).
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Index1−jet bundle, 8271−jet lif
Page 1332 and 1333:
Index 1297Chan-Paton factor, 1238Ch
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Index 1299Dirac-Born-Infeld theory,
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Index 1301Gauss, 5Gauss map, 284Gau
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Index 1303isometric, 17isomorphic,
Page 1340 and 1341:
Index 1305Maxwell Lagrangian, 34Max
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Index 1307probability manifold, 333
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Index 1309super-space, 1215supercov
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Index 1311Yang-Mills theory, 39, 29
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