Universal Record Statistics of Random Walks GGI Workshop in Advances - - PowerPoint PPT Presentation

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Universal Record Statistics of Random Walks GGI Workshop in Advances - - PowerPoint PPT Presentation

Universal Record Statistics of Random Walks GGI Workshop in Advances in Non-Equilibrium Statistical Mechanics Grgory Schehr, LPTMS (Orsay) Universal Record Statistics of Random Walks GGI Workshop in Advances in Non-Equilibrium Statistical


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Universal Record Statistics of Random Walks

GGI Workshop in Advances in Non-Equilibrium Statistical Mechanics

Grégory Schehr, LPTMS (Orsay)

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Universal Record Statistics of Random Walks

GGI Workshop in Advances in Non-Equilibrium Statistical Mechanics

Grégory Schehr, LPTMS (Orsay)

Collaborators:

  • C. Godrèche (IPhT, Saclay)
  • S. N. Majumdar (LPTMS, Orsay)
  • G. Wergen (Uni. of Cologne)
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Statement of the problem

random variables (e.g. time series)

n i xi

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SLIDE 4

Statement of the problem

random variables (e.g. time series) is a record iff

n i xi

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SLIDE 5

Statement of the problem

random variables (e.g. time series) is a record iff

n i xi

Questions: Statistics of the number of records ?

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SLIDE 6

Statement of the problem

random variables (e.g. time series) is a record iff Questions: Statistics of the number of records ?

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Statistics of the ages of records ?

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SLIDE 7

Some recent applications of records in physics

Avalanches Le Doussal & Wiese ‘09 Financial data Wergen, Bogner & Krug ‘11, Wergen ‘13 Domain wall dynamics Alessandro et al. ‘90 Spin-glasses Sibani ‘07 Global warming Redner & Petersen ‘06, Wergen & Krug ‘10 Evolutionary biology Jain & Krug ‘05 Growing networks Godrèche & Luck ‘08 Random walks Majumdar & Ziff ‘08, Wergen, Majumdar, G. S. ‘12

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Some recent applications of records in physics

Avalanches Le Doussal & Wiese ‘09 Financial data Wergen, Bogner & Krug ‘11, Wergen ‘13 Domain wall dynamics Alessandro et al. ‘90 Spin-glasses Sibani ‘07 Global warming Redner & Petersen ‘06, Wergen & Krug ‘10 Evolutionary biology Jain & Krug ‘05 Growing networks Godrèche & Luck ‘08 Random walks Majumdar & Ziff ‘08, Wergen, Majumdar, G. S. ‘12

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Record statistics of i.i.d. random variables

i.i.d. random variables with PDF Nber of records

if is a record if is NOT a record

y i xi n k

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Record statistics of i.i.d. random variables

i.i.d. random variables with PDF Nber of records

if is a record if is NOT a record is the proba. that a record is broken at step

y i xi n k

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SLIDE 11

Record statistics of i.i.d. random variables

i.i.d. random variables with PDF Nber of records

if is a record if is NOT a record is the proba. that a record is broken at step

y i xi n k

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SLIDE 12

Record statistics of i.i.d. random variables

i.i.d. random variables with PDF Nber of records

if is a record if is NOT a record is the proba. that a record is broken at step

y i xi n k

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SLIDE 13

Record statistics of i.i.d. random variables

i.i.d. random variables with PDF Nber of records

if is a record if is NOT a record is the proba. that a record is broken at step

Universal !

y i xi n k

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SLIDE 14

Record statistics of i.i.d. random variables

i.i.d. random variables with PDF

y i xi n k

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Record statistics of i.i.d. random variables

i.i.d. random variables with PDF Average nber of records

y i xi n k

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Record statistics of i.i.d. random variables

i.i.d. random variables with PDF Average nber of records Variance

y i xi n k

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Record statistics of i.i.d. random variables

i.i.d. random variables with PDF Average nber of records Variance Universal probability distribution

y i xi n k

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SLIDE 18

Record statistics of i.i.d. random variables

i.i.d. random variables with PDF Average nber of records Variance Universal probability distribution

Stirling numbers: number of permutations of elements with disjoint cycles

y i xi n k

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Record statistics of i.i.d. random variables

i.i.d. random variables with PDF Average nber of records Variance Universal probability distribution

Stirling numbers: number of permutations of elements with disjoint cycles

Gaussian for large

y i xi n k

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Record statistics of random walks

where the jumps s are i.i.d. with PDF continuous & symmetric

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Record statistics of random walks

where the jumps s are i.i.d. with PDF

Including Ordinary random walks

continuous & symmetric

Lévy flights is the Lévy index

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Record statistics of random walks

where the jumps s are i.i.d. with PDF

Including Ordinary random walks

continuous & symmetric

Lévy flights is the Lévy index

Q: Dependence of records on the jump distribution ?

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SLIDE 23

Mean record number of random walks

is the proba. that a record is broken at step

y i xi n k

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Mean record number of random walks

is the proba. that a record is broken at step

y i xi n k y xi k y xi k ⇐ ⇒

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Mean record number of random walks

is the proba. that a record is broken at step

y xi k y xi k ⇐ ⇒

  • Proba. that the walker stays negative up to step

starting from the origin

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SLIDE 26

Mean record number of random walks

is the proba. that a record is broken at step

y xi k y xi k ⇐ ⇒

  • Proba. that the walker stays negative up to step

starting from the origin is given by the Sparre Andersen Theorem

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SLIDE 27

is given by the Sparre Andersen Theorem

Mean record number of random walks

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is given by the Sparre Andersen Theorem For symmetric RW

Mean record number of random walks

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is given by the Sparre Andersen Theorem For symmetric RW

Universal, i.e. independent

  • f the jump distribution !

Mean record number of random walks

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is given by the Sparre Andersen Theorem For symmetric RW

Universal, i.e. independent

  • f the jump distribution !

Mean record number of random walks

Majumdar, Ziff `08

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Record statistics of random walks with a drift

where the jumps s are i.i.d. with PDF continuous & symmetric

RW with a drift

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Record statistics of random walks with a drift

where the jumps s are i.i.d. with PDF continuous & symmetric

RW with a drift Mean number of records of :

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Record statistics of random walks with a drift

where the jumps s are i.i.d. with PDF continuous & symmetric

RW with a drift Mean number of records of : (Generalized) Sparre Andersen theorem

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Record statistics of random walks with a drift

RW with a drift ,

c µ

1 2

I III IV V II

Majumdar, G. S., Wergen `12

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Record statistics of random walks with a drift

RW with a drift ,

c µ

1 2

I III IV V II

Majumdar, G. S., Wergen `12

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SLIDE 36

Record statistics of random walks with a drift

RW with a drift ,

c µ

1 2

I III IV V II

Majumdar, G. S., Wergen `12

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SLIDE 37

Record statistics of random walks with a drift

RW with a drift ,

c µ

1 2

I III IV V II

Majumdar, G. S., Wergen `12

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SLIDE 38

Record statistics of random walks with a drift

RW with a drift ,

c µ

1 2

I III IV V II

Majumdar, G. S., Wergen `12

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SLIDE 39

Record statistics of random walks with a drift

RW with a drift ,

c µ

1 2

I III IV V II

Majumdar, G. S., Wergen `12

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SLIDE 40

Record statistics of random walks with a drift

RW with a drift ,

c µ

1 2

I III IV V II

What about the full distribution of ?

Majumdar, G. S., Wergen `12

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Renewal approach to records of RW

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Joint distribution of ?

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Renewal approach to records of RW

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Joint distribution of ? RW is a Markov process independent except for the global constraint are

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Renewal approach to records of RW

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Joint distribution of ? RW is a Markov process independent except for the global constraint are are identical RW is translationally invariant s while has different statistics

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Two main objects: Persistence (or survival) probability

  • indep. of

Distribution of first-passage time (from below) Joint distribution of ?

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Renewal approach to records of RW

  • indep. of
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Joint distribution of

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Renewal approach to records of RW

survival proba. first passage proba.

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  • Proba. distribution of the number of records

with

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  • Proba. distribution of the number of records

with Generating function w.r.t. the number of steps

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  • Proba. distribution of the number of records

with Generating function w.r.t. the number of steps

(for symmetric jumps)

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  • Proba. distribution of the number of records

By ``inverting’’ the GF (for symmetric jumps):

Majumdar, Ziff `08

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  • Proba. distribution of the number of records

By ``inverting’’ the GF (for symmetric jumps): For :

Majumdar, Ziff `08

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  • Proba. distribution of the number of records

By ``inverting’’ the GF (for symmetric jumps): For : RW with a drift

c µ

1 2

I III IV V II

Majumdar, Ziff `08 Majumdar, G. S., Wergen `12

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  • Proba. distribution of the number of records

By ``inverting’’ the GF (for symmetric jumps): For : RW with a drift

c µ

1 2

I III IV V II

Majumdar, Ziff `08 Majumdar, G. S., Wergen `12

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SLIDE 53
  • Proba. distribution of the number of records

By ``inverting’’ the GF (for symmetric jumps): For : RW with a drift

c µ

1 2

I III IV V II

e.g. for

Majumdar, Ziff `08 Majumdar, G. S., Wergen `12

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Statistics of the ages of records

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

  • sym. RW
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Statistics of the ages of records

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Typical age of a record:

  • sym. RW
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Statistics of the ages of records

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Typical age of a record:

  • sym. RW

What about the longest or shortest age of a record ?

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Statistics of the ages of records

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Typical age of a record:

  • sym. RW

What about the longest or shortest age of a record ? What is the proba. that the current record is the oldest one ?

Godrèche, Majumdar, G. S., `14

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Statistics of the ages of records

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Typical age of a record:

  • sym. RW

What about the longest or shortest age of a record ? What is the proba. that the current record is the oldest one ?

Godrèche, Majumdar, G. S., `14

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Statistics of the ages of records

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

  • sym. RW

= ?

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Statistics of the ages of records

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

  • sym. RW

= ?

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Statistics of the ages of records

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

  • sym. RW

= ?

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Statistics of the ages of records

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Statistics of the ages of records

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Statistics of the ages of records

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Statistics of the ages of records

with

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Statistics of the ages of records

with

Generating function

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Statistics of the ages of records

with

Generating function

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Statistics of the ages of records

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Statistics of the ages of records For symmetric RW

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Statistics of the ages of records For symmetric RW One finds

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Statistics of the ages of records

0.625 0.626 0.627 0.628 10 20 30 40 50 60 70 80 90 100

Q (n) n 0.626508...

Godrèche, Majumdar, G. S.,`14

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Statistics of the ages of records

0.625 0.626 0.627 0.628 10 20 30 40 50 60 70 80 90 100

Q (n) n 0.626508...

Godrèche, Majumdar, G. S.,`14

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Statistics of the ages of records

0.625 0.626 0.627 0.628 10 20 30 40 50 60 70 80 90 100

Q (n) n 0.626508...

Godrèche, Majumdar, G. S.,`14 Pitman, Yor, `97 Godrèche, Majumdar, G. S., `09

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New observable...new universal constant

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

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New observable...new universal constant

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

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SLIDE 76

New observable...new universal constant

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

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SLIDE 77

New observable...new universal constant

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6

n

Godrèche, Majumdar, G. S.,`14

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Conclusions

Exact results for records of strongly correlated time series Universal records statistics for (symmetric) RWs Extension to multiparticle systems

Wergen, Majumdar, G. S. `12

Extension to Continuous Time Random Walks (CTRWs)

  • S. Sabhapandit `12

see arXiv:1305.0639 for a short review

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Conclusions

Exact results for records of strongly correlated time series Universal records statistics for (symmetric) RWs Extension to multiparticle systems

Wergen, Majumdar, G. S. `12

Extension to Continuous Time Random Walks (CTRWs)

  • S. Sabhapandit `12

High sensitivity to the definition of the age of the last record

see arXiv:1305.0639 for a short review

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Sensitivity to the definition of the age of the last record

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6 τ6 = 7

n

Godrèche, Majumdar, G. S., `14

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SLIDE 81

Sensitivity to the definition of the age of the last record

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6 τ6 = 7

n

Godrèche, Majumdar, G. S., `14

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SLIDE 82

Sensitivity to the definition of the age of the last record

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6 τ6 = 7

n

Godrèche, Majumdar, G. S., `14

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SLIDE 83

Sensitivity to the definition of the age of the last record

An = 3

i xi

τ1 = 4 τ2 = 3 τ3 = 2 τ4 = 5 τ5 = 6 τ6 = 7

n

Godrèche, Majumdar, G. S., `14