Professor Henrik Jeldtoft Jensen  -  Complex Systems Science









Department of Mathematics 
Imperial College London
South Kensington campus
London SW7 2AZ 
Office: Huxley Building 6M51 
Tel: +44 (0) 20 7594 8541
Fax: +44(0) 20 7594 8517
Email: h.jensen@imperial.ac.uk

   



  Why do we do science?

  For the same reason as Glenn Gould plays piano:

   The purpose of art is not the release of 

   a momentary ejection of adrenaline but
   rather the gradual, lifelong construction of 

   a state of wonder.

                                         Glenn Gould

  There are no such things as
  applied sciences,
  only applications of science. 

                                         Louis Pasteur
 

  We shall not cease frome exploration
  And the end of all our exploration

  Will be to arrive where we started
  And know the place for the first time.
           T S Eliot                 

                                                                
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Complex Systems:

I lead a programme on Complexity and Networks in The Institute for Mathematical Sciences
Our research includes:
  •    Emergence and evolution of hierarchical structures in complex systems
  •    Evolution under epigenetic regulation
  •    Networks: Emergence and dynamics
  •    Modelling in creativity and music cognition using a complex science approach
  •    Self-regulatory social systems
  •    Extinction in lattice population models


  On the relationship between painting and art  

Mathematics is painting without the brush; painting is mathematics without the chalk.
Talk presented at
  INTERNATIONAL CONFERENCE “EXCELLENCE: EDUCATION & HUMAN DEVELOPMENT”, ATHENS, GREECE, 1 - 4 JULY 2009   
 
            
          Mathematics and Painting.  Article first published in 
           Interdisciplinary Science Reviews
, 27, 45 (2002).

  


  • The complexity approach realises that properties at system level consist of interaction induced co-operative emergence: interacting components lead to hierarchical structures with different causations at different levels.

  • Complexity realises that a multiple-component system evolves and adapts as a consequence of its internal and external dynamical interaction. The system keeps becoming a different system. The demarcation between the system and its surroundings evolves.

  • Complexity bridges the gap between the individual and the collective: from psychology to sociology, from organism to ecosystems, from genes to protein networks, from atoms to materials, from the PC to the World Wide Web, from the citizens to the society.

  • When a multiple-component system is manipulated it reacts by feedback. The manipulator and the complex systems will inevitably become entangled: the farmer harvests as he sows and nurtures. Complexity research attempts to understand the sum of the multiple causes. 
The hierarchy of order









For me statistical mechanics is about understanding why the whole is different from the sum of the parts: identifying and understanding emergent properties; understanding how the combined effect of simple interactions and many degrees of freedom creates the never ending complexity we observe in our surroundings. Obviously these general questions have to be studied through concrete cases. I am fortunate to work together with a number of graduate students, research assistants and colleagues on research projects including biology, neuroscience and statistical mechanics.

The analysis of the emergence of structure in networks is a natural tool in this quest.



Survey of interest for MSc in Complexity Science at Imperial College London, UK.
We want to know whether you are interested in undertaking an MSc in Complexity Science at Imperial. For detailed information, please click here.
We would be grateful if you reply to this survey by 1 October 2009 and alert colleagues and other interested. This will help us to set up the MSc. If sufficient interest we aim to commence the MSc October 2010


 
Here follows a brief description of some of our research
  Tangled Nature:

Evolutionary ecology is a prototype example of dynamics of complex systems. We have developed a simple individual based model which exhibit intermittency and is able to reproduce a range of ecological observables such as the species-area law and typical species abundance distributions.                                                                                                             

Click here for an overview poster on the properties of the   Tangled Nature Model.
Below are a few preprints

          Review to appear in the proceeding of the 2006 ECMTB Dresden meeting

          The Tangled nature model with inheritance and constraint: Evolutionary ecology restricted by a conserved resource 
and some reprints: 
          Diversity as a product of interspecial interactions
         The species-area relationship and evolutio
         Network properties, species abundance and evolution in a model of evolutionary ecology.
         Tangled Nature: a model of evolutionary ecology. (J. Theo. Biol.)
       Time dependent extinction rate and species abundance in the Tangled Nature model of biological evolution. (Phys. Rev. E.)   
       The Tangled Nature model as an evolving quasi-species model. (J. Phys. A)


   Record dynamics:
Intermittency and relaxation is very often encountered in complex systems. In a broad range of cases we have found that log-Poisson record dynamics is a good description of the observed dynamics. This has a number of very strong implications concerning the structure of the phase space as well as many consequences for the macroscopic temporal behaviour.

        Evolution in Complex Systems (Complexity).
        Intermittency, aging and extremal fluctuations.
        Record dynamics and the observed temperature plateau in the magnetic creep-rate of type II superconductors.
 

  Statistical Mechanics of epedemics:
     

       We have studied the fluctuations in sizes of
        Measles Outbreak in a Population with Declining Vaccine Uptake  SCIENCE 301, 804 (2003)
                additional material:  click here

        and used lattice models in the study

       On the critical behaviour of simple epidemics,
                                            Proc. Rol. Soc. Lond. B  264, 1639 (1997). pdf




    

   Population dynamics and evolutionary dynamics:


Investigations of how the microscopic behaviour of the individuals in a population affects the behaviour of the whole.  Through the eyes of statistical physics, our main emphasis has been on the phase transitions that occur in our model as the population becomes extinct. Of particular interest is our recent study of the nature of the extinction transition in fractal dimensions between one and two. Aside from this largely theoretical approach, we also examine how the model could be used for ecological purposes, particularly in the conservation of species.


The clustering in type space and its relation to neutral and non-neutral models.
                                    



                                 
 
  Modelling in creativity and music cognition using a complexity science approach:


We explore patterns in brain activity that are a result of a musician's playing. The focus in particular is to elucidate what happens when creative leaps and ingenuity occur during this playing - EEG recordings are analysed. Together with Conductor Richard Dickens and J Bhattacharya, Goldsmith.


   Brain scales

         We analyse the spatial and temporal scales of the brain by use of fMRI.  

 
Additional interests: Kids, books, music, philosophy, painting,.... 
 
 
List of publications:

   Click here to see Publication List
 

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 Some lectures:

    Emergence of network structure in Models of Collective
    Evolutionary Dynamics
   
Slides  (4.5MB)

    On the relation between painting and mathematics.

     Slides (39.1MB)

   Tangled Nature: a model of evolutionary ecology.
     Slides  (2.9MB)

    Dynamics of complex systems: The record dynamics.
   
Slides  (2.2MB)

     Subtle relations: 
     prime numbers, complex functions, energy levels and Riemann.
      Slides  (1.0MB)

   Self-Organised Criticality:what does it mean and is it important.
     Slides (1.1MB)

    Godel's  Proof.
    An introduction to the back ground, the structure of the proof and its consequences.
   Slides (1.0MB)


 
 

Some selected publications:
 
Complex systems:
  •  Self-Organized Criticality, H.J. Jensen, Cambridge University Press. 1998. 
         Buy online from  Cambridge University Press or from  Amazon.com
 
  • Anisotropy and universality: the Oslo model, the rice pile experiment  and the quenched Edwards-Wilkinson equation,
        G. Pruessner and H.J. Jensen, Phys. Rev. Lett. 91, 244303 (2003). pdf
 
  •  A solvable non-conservative model of Self-Organised Criticality,
         G. Pruessner and H.J. Jensen, Europhys. Lett. 58, 250 (2002). pdf
 
  •  Universal fluctuations in correlated systems,
       S.T. Bramwell, K. Christensen, J.-Y. Fortin, P.C.W. Holdsworth,
        H.J. Jensen, S. Lise, J. Lopez, M. Nicodemi, J.-F. Pinton, M. Sellito,
       Phys. Rev. Lett. 84 , 3744 (2000).  pdf
 

 

 Biology:
  • Emergence of species and punctuated equilibrium in the Tangled Nature model of biological evolution.
        H.J. Jensen, Physica A: 340,  697-704 (2004). pdf
  • Darwinian selection in a locally unstable Boolean Network.
        D. Eriksson and H.J. Jensen, J Stat. Mech.: Theor. Exp. P09001 (2004).pdf
 
  • Nonequlibrium Roughening transition in a Simple Model of Fungal Growth in 1+1 Dimensions,
     J.M. Lopez and H.J. Jensen, Phys. Rev. Lett. 81 , 1734 (1998). pdf
 
  • A Genric Model of Morphological Changes in Growing Colonies of Fungi,
     J.M. Lopez and H.J. Jensen,  Phys. Rev. E. 65, 021903 (2002). pdf
 

 

Vortex dynamics:
 
 
  • Time dependent phenomena in transport properties and I-V characteristics of a model for driven vortex matter.
         M. Nicodemi and H.J. Jensen, J. Phys.: Cond. Mat. 16, 6789 (2004). pdf
  • Creep of superconducting vortices in the limit of vanishing temperature A finger print off equilibrium dynamcs,
     M. Nicodemi and H.J. Jensen,  Phys. Rev. Lett. 86, 4378 (2001). pdf
  • Aging and memory phenomena in magnetic and transport properties of vortex matter,
     M. Nicodemi and H.J. Jensen, J. Phys. A 34, 8425 (2001). pdf
  • Off equilibrium glassy properties of vortex creep in superconductors,
       H.J. Jensen and M. Nicodemi, Europhysics Lett. 54, 566 (2001). pdf
 
 
Other topics:
  • Mathematics and painting.
       H.J. Jensen, Interdisciplinary Science Review 27, 45 (2002). pdf
Turner                             
  • Mathematical Moddeling of Species formation.
        K. Christensen and H.J. Jensen, Science Progress 83, 93 (2000).  pdf
 
 
 
                                                      
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Last update  15.9.09 [10.1]