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Quantization causes waves Smooth finitely computable functions are - - PowerPoint PPT Presentation

Quantization causes waves Smooth finitely computable functions are affine Vladimir Anashin Faculty of Computational Mathematics and Cybernetics Faculty of Physics Lomonosov Moscow State University ***************************** Institute of


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Quantization causes waves

Smooth finitely computable functions are affine Vladimir Anashin

Faculty of Computational Mathematics and Cybernetics Faculty of Physics Lomonosov Moscow State University ***************************** Institute of Informatics Problems Russian Academy of Sciences

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 1 / 27

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Outline

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Experiments and problems

2

Representations of automata maps in real and complex spaces General automata Finite automata

3

Relations to quantum theory Physical measurements, information, and quantum theory Torus windings and wave functions

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 2 / 27

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Experiments and problems

The first theme

1

Experiments and problems

2

Representations of automata maps in real and complex spaces General automata Finite automata

3

Relations to quantum theory Physical measurements, information, and quantum theory Torus windings and wave functions

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 3 / 27

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Experiments and problems

Systems, automata and word maps

Notion: system (R. E. Kalman, 1969) A (discrete) system (or, a system with a discrete time t ∈ N0 = {0, 1, 2, . . .}) is a 5-tuple A = I, S, O, S, O where

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

Notion: system (R. E. Kalman, 1969) A (discrete) system (or, a system with a discrete time t ∈ N0 = {0, 1, 2, . . .}) is a 5-tuple A = I, S, O, S, O where I is a non-empty finite set, the input alphabet;

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

Notion: system (R. E. Kalman, 1969) A (discrete) system (or, a system with a discrete time t ∈ N0 = {0, 1, 2, . . .}) is a 5-tuple A = I, S, O, S, O where I is a non-empty finite set, the input alphabet; O is a non-empty finite set, the output alphabet;

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

Notion: system (R. E. Kalman, 1969) A (discrete) system (or, a system with a discrete time t ∈ N0 = {0, 1, 2, . . .}) is a 5-tuple A = I, S, O, S, O where I is a non-empty finite set, the input alphabet; O is a non-empty finite set, the output alphabet; S is a non-empty (possibly, infinite) set of states;

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

Notion: system (R. E. Kalman, 1969) A (discrete) system (or, a system with a discrete time t ∈ N0 = {0, 1, 2, . . .}) is a 5-tuple A = I, S, O, S, O where I is a non-empty finite set, the input alphabet; O is a non-empty finite set, the output alphabet; S is a non-empty (possibly, infinite) set of states; S: I × S → S is a state transition function;

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

Notion: system (R. E. Kalman, 1969) A (discrete) system (or, a system with a discrete time t ∈ N0 = {0, 1, 2, . . .}) is a 5-tuple A = I, S, O, S, O where I is a non-empty finite set, the input alphabet; O is a non-empty finite set, the output alphabet; S is a non-empty (possibly, infinite) set of states; S: I × S → S is a state transition function; O: I × S → O is an output function.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

Notion: system (R. E. Kalman, 1969) A (discrete) system (or, a system with a discrete time t ∈ N0 = {0, 1, 2, . . .}) is a 5-tuple A = I, S, O, S, O where I is a non-empty finite set, the input alphabet; O is a non-empty finite set, the output alphabet; S is a non-empty (possibly, infinite) set of states; S: I × S → S is a state transition function; O: I × S → O is an output function. During the talk, an automaton A(s0) (or, a transducer) is a system where one of the states, s0 ∈ S, is fixed; it is called the initial state.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

si ∙ ∙ ∙ χi+1χi S O si+1 = S(χi, si) state transition input ξi = O(χi, si) ξiξi−1 ∙ ∙ ∙ ξ0

  • utput

Figure: Schematics of an automaton

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

Figure: Example state diagram of automaton (I = O = {0, 1}; #S = 5, s0 = 1)

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

Any automaton transforms (left-) infinite words to (left-) infinite words; corresponding mapping of the set of all such words into itself is called an automaton function.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

Any automaton transforms (left-) infinite words to (left-) infinite words; corresponding mapping of the set of all such words into itself is called an automaton function. Therefore given an automaton A with p-letter input/output alphabets I = O = Fp = {0, 1, . . . , p − 1} (p a prime), under a natural one-to-one correspondence between the set of all left-infinite words and the space

  • f p-adic integers Zp, automaton function fA : Zp → Zp is a 1-Lipschitz

map w.r.t. p-adic metric on Zp. Vice versa, given a 1-Lipschitz map f : Zp → Zp, the map f is an automaton function for a suitable automaton A.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Systems, automata and word maps

Any automaton transforms (left-) infinite words to (left-) infinite words; corresponding mapping of the set of all such words into itself is called an automaton function. Automaton function fA : Zp → Zp is a 1-Lipschitz map w.r.t. p-adic metric

  • n Zp. Vice versa, given a 1-Lipschitz map f : Zp → Zp, the map f is an

automaton function for a suitable automaton A. Each letter of output word depends only on those letters of input word which have already been fed to the automaton. Letters of the input word can naturally be ascribed to ‘causes’ while letters of corresponding output word can be regarded as ‘effects’. ‘Causality’ just means that effects depend only on causes which ‘already have happened’. Therefore automata serve as adequate mathematical formalism for causality principle.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 4 / 27

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Experiments and problems

Experimenting with automata

Given an automaton A with a p-letter input/output alphabets Fp = {0, 1, . . . , p − 1}, let f = fA be the automaton function. For k = 1, 2, . . . let Ek(fA) be the set of all points of the Euclidean unit square I2 = [0, 1] × [0, 1] ⊂ R2 s.t.: Ek(fA) = x mod pk pk ; f(x) mod pk pk

  • : x ∈ Zp
  • where given z = ∞

j=0 χjpj ∈ Zp, we denote z mod pk a non-negative

integer whose base-p expansion is χk−1pk−1 + ∙ ∙ ∙ + χip + χ0. This way we define the automaton function on numbers n/pk ∈ [0, 1] Low order digits are feeded to/outputted from the automaton prior to higher order digits!

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 5 / 27

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Experiments and problems

Experimenting with automata

Given an automaton A with a p-letter input/output alphabets Fp = {0, 1, . . . , p − 1}, let f = fA be the automaton function. For k = 1, 2, . . . let Ek(fA) be the set of all points of the Euclidean unit square I2 = [0, 1] × [0, 1] ⊂ R2 s.t.: Ek(fA) = x mod pk pk ; f(x) mod pk pk

  • : x ∈ Zp
  • where given z = ∞

j=0 χjpj ∈ Zp, we denote z mod pk a non-negative

integer whose base-p expansion is χk−1pk−1 + ∙ ∙ ∙ + χip + χ0.

A w = = fA(w) χk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ χ1χ0 ξk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ξ1ξ0

  • (0.χk−1 . . . χ1χ0; 0.ξk−1 . . . ξ1ξ0)

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 5 / 27

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Experiments and problems

Experimenting with automata

A w = = fA(w) χk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ χ1χ0 ξk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ξ1ξ0

  • (0.χk−1 . . . χ1χ0; 0.ξk−1 . . . ξ1ξ0)

Ek(fA) = {(0.w; 0.f(w)): w runs over words of length k} Experimentally it can be observed that Ek(fA) when k → ∞ basically exhibits behaviour of two kinds only:

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 5 / 27

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Experiments and problems

Experimenting with automata

A w = = fA(w) χk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ χ1χ0 ξk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ξ1ξ0

  • (0.χk−1 . . . χ1χ0; 0.ξk−1 . . . ξ1ξ0)

Ek(fA) = {(0.w; 0.f(w)): w runs over words of length k} Experimentally it can be observed that Ek(fA) when k → ∞ basically exhibits behaviour of two kinds only:

1

Ek(f) is getting more and more dense so that at k → ∞ they fill the unit square completely

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 5 / 27

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Experiments and problems

Experimenting with automata

A w = = fA(w) χk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ χ1χ0 ξk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ξ1ξ0

  • (0.χk−1 . . . χ1χ0; 0.ξk−1 . . . ξ1ξ0)

Ek(fA) = {(0.w; 0.f(w)): w runs over words of length k} Experimentally it can be observed that Ek(fA) when k → ∞ basically exhibits behaviour of two kinds only:

1

Ek(f) is getting more and more dense

2

Ek(f) is getting less and less dense and with pronounced straight lines that constitute windings of a torus

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 5 / 27

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Experiments and problems

Experimenting with automata

A w = = fA(w) χk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ χ1χ0 ξk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ξ1ξ0

  • (0.χk−1 . . . χ1χ0; 0.ξk−1 . . . ξ1ξ0)

Ek(fA) = {(0.w; 0.f(w)): w runs over words of length k} Experimentally it can be observed that Ek(fA) when k → ∞ basically exhibits behaviour of two kinds only:

1

Ek(f) is getting more and more dense

2

Ek(f) is getting less and less dense and with pronounced straight lines that constitute windings of a torus The goal of the talk is to explain the following: what really happens (=mathematical results), and

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 5 / 27

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Experiments and problems

Experimenting with automata

A w = = fA(w) χk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ χ1χ0 ξk−1 ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙ ξ1ξ0

  • (0.χk−1 . . . χ1χ0; 0.ξk−1 . . . ξ1ξ0)

Ek(fA) = {(0.w; 0.f(w)): w runs over words of length k} Experimentally it can be observed that Ek(fA) when k → ∞ basically exhibits behaviour of two kinds only:

1

Ek(f) is getting more and more dense

2

Ek(f) is getting less and less dense and with pronounced straight lines that constitute windings of a torus The goal of the talk is to explain the following: what really happens (=mathematical results), and how the results could be related to quantum theory interpretation.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 5 / 27

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Representations of automata maps in real and complex spaces

The main mathematical part

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Experiments and problems

2

Representations of automata maps in real and complex spaces General automata Finite automata

3

Relations to quantum theory Physical measurements, information, and quantum theory Torus windings and wave functions

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 6 / 27

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Representations of automata maps in real and complex spaces General automata

The next topic:

1

Experiments and problems

2

Representations of automata maps in real and complex spaces General automata Finite automata

3

Relations to quantum theory Physical measurements, information, and quantum theory Torus windings and wave functions

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 7 / 27

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Representations of automata maps in real and complex spaces General automata

The automata 0-1 law

Denote via α(fA) Lebesgue measure of the plot of A, i.e., of the closure P(fA) = P(A) of the union of sets Ek(fA), k = 1, 2, 3, . . .. Theorem (The automata 0-1 law; V. A., 2009) Given an automaton function f = fA, either α(f) = 0, or α(f) = 1.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 8 / 27

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Representations of automata maps in real and complex spaces General automata

The automata 0-1 law

Denote via α(fA) Lebesgue measure of the plot of A, i.e., of the closure P(fA) = P(A) of the union of sets Ek(fA), k = 1, 2, 3, . . .. Theorem (The automata 0-1 law; V. A., 2009) Given an automaton function f = fA, either α(f) = 0, or α(f) = 1. These alternatives correspond to the cases P(f) is nowhere dense in I2 and P(f) = I2, respectively.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 8 / 27

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Representations of automata maps in real and complex spaces General automata

The automata 0-1 law

Denote via α(fA) Lebesgue measure of the plot of A, i.e., of the closure P(fA) = P(A) of the union of sets Ek(fA), k = 1, 2, 3, . . .. Theorem (The automata 0-1 law; V. A., 2009) Given an automaton function f = fA, either α(f) = 0, or α(f) = 1. These alternatives correspond to the cases P(f) is nowhere dense in I2 and P(f) = I2, respectively. We will say for short that an automaton A is of measure 1 if α(fA) = 1, and of measure 0 if otherwise. Finite automata (=automata with a finite number of states) are all of measure 0 Therefore if A is a finite automaton then P(fA) is nowhere dense in I2 and thus P(fA) cannot contain ‘figures’, but it may contain ‘lines’.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 8 / 27

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Representations of automata maps in real and complex spaces Finite automata

Next topic:

1

Experiments and problems

2

Representations of automata maps in real and complex spaces General automata Finite automata

3

Relations to quantum theory Physical measurements, information, and quantum theory Torus windings and wave functions

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 9 / 27

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Representations of automata maps in real and complex spaces Finite automata

Plots of linear finite automata

Given an automaton function is fA, denote via AP(A) = AP(fA) the set

  • f all accumulation points of the plot P(A) ⊂ T2 on the torus T2.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 10 / 27

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Representations of automata maps in real and complex spaces Finite automata

Plots of linear finite automata

Given an automaton function is fA, denote via AP(A) = AP(fA) the set

  • f all accumulation points of the plot P(A) ⊂ T2 on the torus T2.

Important example: linear automata Let A be a finite automaton, and let fA(z) = f(z) = az + b (a, b ∈ Zp ∩ Q then). Considering I2 as a surface of the torus T2, we have that AP(f) =

  • (x mod 1; (ax + b) mod 1) ∈ T2 : x ∈ R
  • is a link of Nf torus knots either of which is a cable(=winding) with

slope a of the unit torus T2: If a = q/k,b = r/s are irreducible fractions, d = gcd(k, s) then Nf is multiplicative order of p modulo s/d. Each cable winds q times around the interior of T2 and k times around Z-axis. Given a, b ∈ Zp, the mapping z → az + b is an automaton function of a suitable finite automaton if and only if a, b ∈ Zp ∩ Q. set of all rational p-adic integers is denoted via Zp ∩ Q.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 10 / 27

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Representations of automata maps in real and complex spaces Finite automata

Plots of linear finite automata

Important example: linear automata Let A be a finite automaton, and let fA(z) = f(z) = az + b (a, b ∈ Zp ∩ Q then). Considering I2 as a surface of the torus T2, we have that AP(f) =

  • (x mod 1; (ax + b) mod 1) ∈ T2 : x ∈ R
  • is a link of Nf torus knots either of which is a cable(=winding) with

slope a of the unit torus T2: If a = q/k,b = r/s are irreducible fractions, d = gcd(k, s) then Nf is multiplicative order of p modulo s/d. By using cylindrical coordinates (T2 : (r0 − R)2 + z2 = A2; R = A = 1 for unit torus) we get:   r0 θ z   =   R + A ∙ cos

  • ax − 2πb ∙ pℓ

x A ∙ sin

  • ax − 2πb ∙ pℓ

  , x ∈ R, ℓ = 0, 1, 2, . . .

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 10 / 27

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Representations of automata maps in real and complex spaces Finite automata

Plots of linear finite automata

Important example: linear automata Let A be a finite automaton, and let fA(z) = f(z) = az + b (a, b ∈ Zp ∩ Q then). Considering I2 as a surface of the torus T2, we have that AP(f) =

  • (x mod 1; (ax + b) mod 1) ∈ T2 : x ∈ R
  • is a link of Nf torus knots either of which is a cable(=winding) with

slope a of the unit torus T2: If a = q/k,b = r/s are irreducible fractions, d = gcd(k, s) then Nf is multiplicative order of p modulo s/d. Therefore the plot of f (=of the automaton A) can be described by Nf complex-valued functions:

AP(A) = AP(az + b) ← → ei(ax−2πb∙pℓ); (x ∈ R, ℓ ∈ N0)

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 10 / 27

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Representations of automata maps in real and complex spaces Finite automata

The affinity of smooth finitely computable functions

Q: What smooth curves are finitely computable; i.e. what smooth curves may lie in the plot P(A) of a finite automaton A?

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 11 / 27

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Representations of automata maps in real and complex spaces Finite automata

The affinity of smooth finitely computable functions

Q: What smooth curves are finitely computable; i.e. what smooth curves may lie in the plot P(A) of a finite automaton A? A: Only straight lines (=cables of torus with rational p-adic slopes and rational p-adic constant terms).

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 11 / 27

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Representations of automata maps in real and complex spaces Finite automata

The affinity of smooth finitely computable functions

Q: What smooth curves are finitely computable; i.e. what smooth curves may lie in the plot P(A) of a finite automaton A? A: Only straight lines (=cables of torus with rational p-adic slopes and rational p-adic constant terms). Theorem (V.A., in pNUAA, 2015, vol. 7, No 3, pp. 169–227) Let g be a two times differentiable function (w.r.t. the metric in R) defined on [α, β] ⊂ [0, 1) and valuated in [0, 1); let g′′ be continuous on [α, β]. If (x; g(x)) ∈ P(A) for all x ∈ [α, β] then there exist a, b ∈ Zp ∩ Q such that g(x) = ax + b for all x ∈ [α, β] and AP(az + b) ⊂ P(A). Given a finite automaton A, there are no more than a finite number of a, b ∈ Zp ∩ Q such that AP(az + b) ⊂ P(A).

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 11 / 27

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Representations of automata maps in real and complex spaces Finite automata

The affinity of smooth finitely computable functions

Theorem (V.A., in pNUAA, 2015, vol. 7, No 3, pp. 169–227) Let g be a two times differentiable function (w.r.t. the metric in R) defined on [α, β] ⊂ [0, 1) and valuated in [0, 1); let g′′ be continuous on [α, β]. If (x; g(x)) ∈ P(A) for all x ∈ [α, β] then there exist a, b ∈ Zp ∩ Q such that g(x) = ax + b for all x ∈ [α, β] and AP(az + b) ⊂ P(A). Given a finite automaton A, there are no more than a finite number of a, b ∈ Zp ∩ Q such that AP(az + b) ⊂ P(A). Actually this means that smooth curves in the plot of a finite automaton constitute a finite union of torus links, and every link consists of a finite number of torus knots with the same slope.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 11 / 27

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Representations of automata maps in real and complex spaces Finite automata

The affinity of smooth finitely computable functions

Theorem (V.A., in pNUAA, 2015, vol. 7, No 3, pp. 169–227) Let g be a two times differentiable function (w.r.t. the metric in R) defined on [α, β] ⊂ [0, 1) and valuated in [0, 1); let g′′ be continuous on [α, β]. If (x; g(x)) ∈ P(A) for all x ∈ [α, β] then there exist a, b ∈ Zp ∩ Q such that g(x) = ax + b for all x ∈ [α, β] and AP(az + b) ⊂ P(A). Given a finite automaton A, there are no more than a finite number of a, b ∈ Zp ∩ Q such that AP(az + b) ⊂ P(A). The theorem can be considered as a contribution to the theory of com- putable functions since the main result means that a finite automaton can compute only a very restricted class of smooth functions; namely,

  • nly affine ones.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 11 / 27

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Representations of automata maps in real and complex spaces Finite automata

The affinity of smooth finitely computable functions

Theorem (V.A., in pNUAA, 2015, vol. 7, No 3, pp. 169–227) Let g be a two times differentiable function (w.r.t. the metric in R) defined on [α, β] ⊂ [0, 1) and valuated in [0, 1); let g′′ be continuous on [α, β]. If (x; g(x)) ∈ P(A) for all x ∈ [α, β] then there exist a, b ∈ Zp ∩ Q such that g(x) = ax + b for all x ∈ [α, β] and AP(az + b) ⊂ P(A). Given a finite automaton A, there are no more than a finite number of a, b ∈ Zp ∩ Q such that AP(az + b) ⊂ P(A). The theorem holds for automata with m inputs and n outputs: Smooth surfaces in the plot (in multidimensional torus) constitute a finite number of families of multidimensional torus windings, and each family is a finite collection of windings with the same matrix A.

AP(zA + b) ← → ei(xA−2πb∙pℓ); (x ∈ Rm; b ∈ Rn; ℓ ∈ N0)

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 11 / 27

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Representations of automata maps in real and complex spaces Finite automata

The affinity of smooth finitely computable functions

Theorem (V.A., in pNUAA, 2015, vol. 7, No 3, pp. 169–227) Let g be a two times differentiable function (w.r.t. the metric in R) defined on [α, β] ⊂ [0, 1) and valuated in [0, 1); let g′′ be continuous on [α, β]. If (x; g(x)) ∈ P(A) for all x ∈ [α, β] then there exist a, b ∈ Zp ∩ Q such that g(x) = ax + b for all x ∈ [α, β] and AP(az + b) ⊂ P(A). Given a finite automaton A, there are no more than a finite number of a, b ∈ Zp ∩ Q such that AP(az + b) ⊂ P(A). The theorem holds for automata with m inputs and n outputs: Smooth surfaces in the plot (in multidimensional torus) constitute a finite number of families of multidimensional torus windings, and each family is a finite collection of windings with the same matrix A. Thus the theorem can be applied to study hash functions since they all are automata functions of finite automata with multiple inputs/outputs.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 11 / 27

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SLIDE 40

Relations to quantum theory

Final part

1

Experiments and problems

2

Representations of automata maps in real and complex spaces General automata Finite automata

3

Relations to quantum theory Physical measurements, information, and quantum theory Torus windings and wave functions

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 12 / 27

slide-41
SLIDE 41

Relations to quantum theory Physical measurements, information, and quantum theory

The next topic:

1

Experiments and problems

2

Representations of automata maps in real and complex spaces General automata Finite automata

3

Relations to quantum theory Physical measurements, information, and quantum theory Torus windings and wave functions

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 13 / 27

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SLIDE 42

Relations to quantum theory Physical measurements, information, and quantum theory

On physical measurements

A physical law is a mathematical correspondence between quantities of impacts a physical system is exposed to and quantities of responses the system exhibits.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 14 / 27

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SLIDE 43

Relations to quantum theory Physical measurements, information, and quantum theory

On physical measurements

A physical law is a mathematical correspondence between quantities of impacts a physical system is exposed to and quantities of responses the system exhibits. The measured experimental values of physical quantities lie in Q.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 14 / 27

slide-44
SLIDE 44

Relations to quantum theory Physical measurements, information, and quantum theory

On physical measurements

A physical law is a mathematical correspondence between quantities of impacts a physical system is exposed to and quantities of responses the system exhibits. The measured experimental values of physical quantities lie in Q. People usually are trying to find a physical law as a correspondence between accumulation points (w.r.t. the metrics in R) of experimental values.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 14 / 27

slide-45
SLIDE 45

Relations to quantum theory Physical measurements, information, and quantum theory

On physical measurements

A physical law is a mathematical correspondence between quantities of impacts a physical system is exposed to and quantities of responses the system exhibits. The measured experimental values of physical quantities lie in Q. People usually are trying to find a physical law as a correspondence between accumulation points (w.r.t. the metrics in R) of experimental values. An experimental curve is a smooth curve (the C2-smoothness is common) which is the best approximation of the set of the experimental points.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 14 / 27

slide-46
SLIDE 46

Relations to quantum theory Physical measurements, information, and quantum theory

On physical measurements

A physical law is a mathematical correspondence between quantities of impacts a physical system is exposed to and quantities of responses the system exhibits. The measured experimental values of physical quantities lie in Q. People usually are trying to find a physical law as a correspondence between accumulation points (w.r.t. the metrics in R) of experimental values. An experimental curve is a smooth curve (the C2-smoothness is common) which is the best approximation of the set of the experimental points. A physical law is a curve which can be approximated by the experimental curves with the highest achievable accuracy.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 14 / 27

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SLIDE 47

Relations to quantum theory Physical measurements, information, and quantum theory

On physical measurements

Let physical quantities which correspond to impacts and reactions are quantized; i.e, take only values, say, 0, 1, . . . , p − 1. Then, once the sys- tem is exposed to a sequence of k of impacts, it outputs corresponding sequence of k reactions. Considering these sequences as base-p ex- pansions of natural numbers z = αk−1pr−1 + ∙ ∙ ∙ + α0, after the normal- ization z

pk we obtain experimental points in a unit square of R2.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 14 / 27

slide-48
SLIDE 48

Relations to quantum theory Physical measurements, information, and quantum theory

On physical measurements

Let physical quantities which correspond to impacts and reactions are quantized; i.e, take only values, say, 0, 1, . . . , p − 1. Then, once the sys- tem is exposed to a sequence of k of impacts, it outputs corresponding sequence of k reactions. Considering these sequences as base-p ex- pansions of natural numbers z = αk−1pr−1 + ∙ ∙ ∙ + α0, after the normal- ization z

pk we obtain experimental points in a unit square of R2.

Our main theorem shows that if the number of states of automaton which corresponds to a physical system is much less than the length of input sequence of impacts then experimental curves necessarily tend to straight lines (or torus windings, under a natural map of the unit square onto a torus). This implies the linearity of a physical law.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 14 / 27

slide-49
SLIDE 49

Relations to quantum theory Physical measurements, information, and quantum theory

On physical measurements

Let physical quantities which correspond to impacts and reactions are quantized; i.e, take only values, say, 0, 1, . . . , p − 1. Then, once the sys- tem is exposed to a sequence of k of impacts, it outputs corresponding sequence of k reactions. Considering these sequences as base-p ex- pansions of natural numbers z = αk−1pr−1 + ∙ ∙ ∙ + α0, after the normal- ization z

pk we obtain experimental points in a unit square of R2.

Our main theorem shows that if the number of states of automaton which corresponds to a physical system is much less than the length of input sequence of impacts then experimental curves necessarily tend to straight lines (or torus windings, under a natural map of the unit square onto a torus). This implies the linearity of a physical law. Q: Once Prof. A. Yu. Khrennikov asked a question: “Why mathemati- cal formalism of quantum theory is linear?”

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 14 / 27

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SLIDE 50

Relations to quantum theory Physical measurements, information, and quantum theory

On physical measurements

Let physical quantities which correspond to impacts and reactions are quantized; i.e, take only values, say, 0, 1, . . . , p − 1. Then, once the sys- tem is exposed to a sequence of k of impacts, it outputs corresponding sequence of k reactions. Considering these sequences as base-p ex- pansions of natural numbers z = αk−1pr−1 + ∙ ∙ ∙ + α0, after the normal- ization z

pk we obtain experimental points in a unit square of R2.

Our main theorem shows that if the number of states of automaton which corresponds to a physical system is much less than the length of input sequence of impacts then experimental curves necessarily tend to straight lines (or torus windings, under a natural map of the unit square onto a torus). This implies the linearity of a physical law. Q: Once Prof. A. Yu. Khrennikov asked a question: “Why mathemati- cal formalism of quantum theory is linear?” A: Quantization + Small set of states ⇒ Linearity

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 14 / 27

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SLIDE 51

Relations to quantum theory Physical measurements, information, and quantum theory

Information in physics: Wheeler’s ‘it from bit’ doctrine

John Archibald Wheeler (July 9, 1911 – April 13, 2008) was a promi- nent American physicist known for his contribution to general relativity and quantum theory. In 1990, Wheeler suggested that information is fundamental to the physics of the universe and started developing the informational interpretation of physics. He wrote:

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 15 / 27

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SLIDE 52

Relations to quantum theory Physical measurements, information, and quantum theory

Information in physics: Wheeler’s ‘it from bit’ doctrine

John Archibald Wheeler (July 9, 1911 – April 13, 2008) was a promi- nent American physicist known for his contribution to general relativity and quantum theory. In 1990, Wheeler suggested that information is fundamental to the physics of the universe and started developing the informational interpretation of physics. He wrote: ‘It from bit’ symbolizes the idea that every item of the physical world has at bottom — a very deep bottom, in most instances — an immaterial source and explanation; that which we call re- ality arises in the last analysis from the posing of yes-no ques- tions and the registering of equipment-evoked responses; in short, that all things physical are information-theoretic in origin and that this is a participatory universe.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 15 / 27

slide-53
SLIDE 53

Relations to quantum theory Physical measurements, information, and quantum theory

Information in physics: Wheeler’s ‘it from bit’ doctrine

John Archibald Wheeler (July 9, 1911 – April 13, 2008) was a promi- nent American physicist known for his contribution to general relativity and quantum theory. In 1990, Wheeler suggested that information is fundamental to the physics of the universe and started developing the informational interpretation of physics. He wrote: ‘It from bit’ symbolizes the idea that every item of the physical world has at bottom — a very deep bottom, in most instances — an immaterial source and explanation; that which we call re- ality arises in the last analysis from the posing of yes-no ques- tions and the registering of equipment-evoked responses; in short, that all things physical are information-theoretic in origin and that this is a participatory universe. ...it is not unreasonable to imagine that information sits at the core of physics, just as it sits at the core of a computer.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 15 / 27

slide-54
SLIDE 54

Relations to quantum theory Physical measurements, information, and quantum theory

Information in physics: Wheeler’s ‘it from bit’ doctrine

John Archibald Wheeler (July 9, 1911 – April 13, 2008) was a promi- nent American physicist known for his contribution to general relativity and quantum theory. In 1990, Wheeler suggested that information is fundamental to the physics of the universe and started developing the informational interpretation of physics. He wrote: ‘It from bit’ symbolizes the idea that every item of the physical world has at bottom — a very deep bottom, in most instances — an immaterial source and explanation; that which we call re- ality arises in the last analysis from the posing of yes-no ques- tions and the registering of equipment-evoked responses; in short, that all things physical are information-theoretic in origin and that this is a participatory universe. ...it is not unreasonable to imagine that information sits at the core of physics, just as it sits at the core of a computer. Let’s give some mathematical reasoning why ‘it’ is indeed ‘from bit’.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 15 / 27

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SLIDE 55

Relations to quantum theory Torus windings and wave functions

The next topic:

1

Experiments and problems

2

Representations of automata maps in real and complex spaces General automata Finite automata

3

Relations to quantum theory Physical measurements, information, and quantum theory Torus windings and wave functions

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 16 / 27

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SLIDE 56

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems

Accumulation points of a plot of a finite linear automaton (whose au- tomaton function is then f : z → az + b for suitable a, b ∈ Zp ∩ Q) look like a finite collection of waves with the same wavenumber a (up to a normalization s.t. = 1), where x stands for position, 2πb for angular frequency ω and pℓ for time t.

AP(A) = AP(az + b) ← → ei(ax−2πb∙pℓ); (x ∈ R, ℓ ∈ N0)

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 57

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems

Accumulation points of a plot of a finite linear automaton (whose au- tomaton function is then f : z → az + b for suitable a, b ∈ Zp ∩ Q) look like a finite collection of waves with the same wavenumber a (up to a normalization s.t. = 1), where x stands for position, 2πb for angular frequency ω and pℓ for time t. Consider a special case when a ∈ Z and b = 0:

AP(A) = AP(az) ← → ei(ax); (x ∈ R, ℓ ∈ N0)

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 58

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems AP(A) = AP(az) ← → ei(ax); (x ∈ R, ℓ ∈ N0)

It is reasonable to suggest that indeed a is the wavenumber (cf. left and right pictures); thus wavelength λ =

1 a.

Moreover, then ω = λ−1 = a; and note that AP(az + at) = AP(az) for every t ∈ Z.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 59

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems AP(A) = AP(az + b) ← → ei(ax−2πb∙pℓ); (x ∈ R, ℓ ∈ N0)

The “time-looking” multiplier pℓ is a proper time of the automaton.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 60

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems AP(A) = AP(az + b) ← → ei(ax−2πb∙pℓ); (x ∈ R, ℓ ∈ N0)

The “time-looking” multiplier pℓ is a proper time of the automaton. Namely, multiplying by p corresponds to on step of the automaton: (pℓx) mod 1 is an ℓ-step shift of base-p expansion of x ∈ R.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 61

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems AP(A) = AP(az + b) ← → ei(ax−2πb∙pℓ); (x ∈ R, ℓ ∈ N0)

The “time-looking” multiplier pℓ is a proper time of the automaton. Can pℓ be treated a physical time?

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 62

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems AP(A) = AP(az + b) ← → ei(ax−2πb∙pℓ); (x ∈ R, ℓ ∈ N0)

The “time-looking” multiplier pℓ is a proper time of the automaton. Can pℓ be treated a physical time? Yes!

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 63

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems AP(A) = AP(az + b) ← → ei(ax−2πb∙pℓ); (x ∈ R, ℓ ∈ N0)

The “time-looking” multiplier pℓ is a proper time of the automaton. Can pℓ be treated a physical time? Yes! Just take p close to 1 (forgetting for a moment that p is a base of a radix system); i.e., p = 1 + τ where τ is small. For instance, assume that τ is a Planck time (=a quant of time) or other time interval which is less then the accuracy of measurements and thus can not be measured.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 64

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems AP(A) = AP(az + b) ← → ei(ax−2πb∙pℓ); (x ∈ R, ℓ ∈ N0)

The “time-looking” multiplier pℓ is a proper time of the automaton. Can pℓ be treated a physical time? Yes! Just take p close to 1 (forgetting for a moment that p is a base of a radix system); i.e., p = 1 + τ where τ is small. Then pℓ ≈ 1 + ℓτ and therefore for large ℓ we see that ℓτ = t is just a

  • time. And here we are:

ei(ax−2πb∙pℓ) ≈ ei(ax−2πb∙(1+t)) = c ∙ ei(ax−2πb∙t) ← the wave!!!

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 65

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems AP(A) = AP(az + b) ← → ei(ax−2πb∙pℓ); (x ∈ R, ℓ ∈ N0)

The “time-looking” multiplier pℓ is a proper time of the automaton. Can pℓ be treated a physical time? Yes! Just take p close to 1 (forgetting for a moment that p is a base of a radix system); i.e., p = 1 + τ where τ is small. Then pℓ ≈ 1 + ℓτ and therefore for large ℓ we see that ℓτ = t is just a

  • time. And here we are:

ei(ax−2πb∙pℓ) ≈ ei(ax−2πb∙(1+t)) = c ∙ ei(ax−2πb∙t) ← the wave!!!

Is it mathematically correct to put p = 1 + τ where 0 < τ ≪ 1?

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 66

Relations to quantum theory Torus windings and wave functions

Speculation: Automata as models of quantum systems AP(A) = AP(az + b) ← → ei(ax−2πb∙pℓ); (x ∈ R, ℓ ∈ N0)

The “time-looking” multiplier pℓ is a proper time of the automaton. Can pℓ be treated a physical time? Yes! Just take p close to 1 (forgetting for a moment that p is a base of a radix system); i.e., p = 1 + τ where τ is small. Then pℓ ≈ 1 + ℓτ and therefore for large ℓ we see that ℓτ = t is just a

  • time. And here we are:

ei(ax−2πb∙pℓ) ≈ ei(ax−2πb∙(1+t)) = c ∙ ei(ax−2πb∙t) ← the wave!!!

Is it mathematically correct to put p = 1 + τ where 0 < τ ≪ 1? Yes, if one uses β-expansions (introduced by R´ enyi—Parry in 1957– 1960) rather than base p-expansions.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 17 / 27

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SLIDE 67

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

To construct a plot of an automaton over a p-letter alphabet we use base-p expansions of numbers: To every pair of input/output words input word χk−1 . . . χ1χ0 − → output word ξk−1 . . . ξ1ξ0 we put into the correspondence the point on the torus (χk−1p−1 + ∙ ∙ ∙ χ1p−k+1 + χ0p−k; ξk−1p−1 ∙ ∙ ∙ + ξ1p−k+1 + ξ0p−k)

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 68

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

To construct a plot of an automaton over a p-letter alphabet we use base-p expansions of numbers: To every pair of input/output words input word χk−1 . . . χ1χ0 − → output word ξk−1 . . . ξ1ξ0 we put into the correspondence the point on the torus (χk−1p−1 + ∙ ∙ ∙ χ1p−k+1 + χ0p−k; ξk−1p−1 ∙ ∙ ∙ + ξ1p−k+1 + ξ0p−k) We may take β ∈ R+ such that ⌊β⌋ = p − 1 and use β-expansions rather than base-p expansions; that is, we put into the correspondence to the pair of input/output words the following point on the torus: (χk−1β−1 + ∙ ∙ ∙ χ1β−k+1 + χ0β−k; ξk−1β−1 ∙ ∙ ∙ + ξ1β−k+1 + ξ0β−k)

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

slide-69
SLIDE 69

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

To construct a plot of an automaton over a p-letter alphabet we use base-p expansions of numbers: To every pair of input/output words input word χk−1 . . . χ1χ0 − → output word ξk−1 . . . ξ1ξ0 we put into the correspondence the point on the torus (χk−1p−1 + ∙ ∙ ∙ χ1p−k+1 + χ0p−k; ξk−1p−1 ∙ ∙ ∙ + ξ1p−k+1 + ξ0p−k) We may take β ∈ R+ such that ⌊β⌋ = p − 1 and use β-expansions rather than base-p expansions; that is, we put into the correspondence to the pair of input/output words the following point on the torus: (χk−1β−1 + ∙ ∙ ∙ χ1β−k+1 + χ0β−k; ξk−1β−1 ∙ ∙ ∙ + ξ1β−k+1 + ξ0β−k) We must take β s.t. arithmetics of numbers represented by β- expansions can be performed by a finite automaton.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 70

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

To construct a plot of an automaton over a p-letter alphabet we use base-p expansions of numbers: To every pair of input/output words input word χk−1 . . . χ1χ0 − → output word ξk−1 . . . ξ1ξ0 we put into the correspondence the point on the torus (χk−1p−1 + ∙ ∙ ∙ χ1p−k+1 + χ0p−k; ξk−1p−1 ∙ ∙ ∙ + ξ1p−k+1 + ξ0p−k) We may take β ∈ R+ such that ⌊β⌋ = p − 1 and use β-expansions rather than base-p expansions; that is, we put into the correspondence to the pair of input/output words the following point on the torus: (χk−1β−1 + ∙ ∙ ∙ χ1β−k+1 + χ0β−k; ξk−1β−1 ∙ ∙ ∙ + ξ1β−k+1 + ξ0β−k) We must take β s.t. arithmetics of numbers represented by β- expansions can be performed by a finite automaton. Such β do exist; e.g., we may for instance take β =

N

√ 2.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

slide-71
SLIDE 71

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

We may take β ∈ R+ such that ⌊β⌋ = p−1 and use β-expansions rather than base-p expansions; that is, we put into the correspondence to the pair of input/output words the following point on the torus: (χk−1β−1 + ∙ ∙ ∙ χ1β−k+1 + χ0β−k; ξk−1β−1 ∙ ∙ ∙ + ξ1β−k+1 + ξ0β−k) We must take β s.t. arithmetics of numbers represented by β- expansions can be performed by a finite automaton. Such β do exist; e.g., we may for instance take β =

N

√ 2. In general to ensure the finiteness, if β = 1 + τ with 0 < τ ≪ 1, then β must satisfy equation 2 = u(β) where u is a polynomial with coefficients 0, 1 (for instance, we may take β =

N

√ 2 with N large enough).

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

slide-72
SLIDE 72

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

We may take β ∈ R+ such that ⌊β⌋ = p−1 and use β-expansions rather than base-p expansions; that is, we put into the correspondence to the pair of input/output words the following point on the torus: (χk−1β−1 + ∙ ∙ ∙ χ1β−k+1 + χ0β−k; ξk−1β−1 ∙ ∙ ∙ + ξ1β−k+1 + ξ0β−k) We must take β s.t. arithmetics of numbers represented by β- expansions can be performed by a finite automaton. Such β do exist; e.g., we may for instance take β =

N

√ 2. In general to ensure the finiteness, if β = 1 + τ with 0 < τ ≪ 1, then β must satisfy equation 2 = u(β) where u is a polynomial with coefficients 0, 1 (for instance, we may take β =

N

√ 2 with N large enough). Then necessarily the input/output alphabets are binary, and

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

slide-73
SLIDE 73

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

We may take β ∈ R+ such that ⌊β⌋ = p−1 and use β-expansions rather than base-p expansions; that is, we put into the correspondence to the pair of input/output words the following point on the torus: (χk−1β−1 + ∙ ∙ ∙ χ1β−k+1 + χ0β−k; ξk−1β−1 ∙ ∙ ∙ + ξ1β−k+1 + ξ0β−k) We must take β s.t. arithmetics of numbers represented by β- expansions can be performed by a finite automaton. Such β do exist; e.g., we may for instance take β =

N

√ 2. In general to ensure the finiteness, if β = 1 + τ with 0 < τ ≪ 1, then β must satisfy equation 2 = u(β) where u is a polynomial with coefficients 0, 1 (for instance, we may take β =

N

√ 2 with N large enough). Then necessarily the input/output alphabets are binary, and any torus link will be dense and can be ascribed to a matter wave cei(ax−2πbt) where x, t are space and time coordinates accordingly.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 74

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

We may take β ∈ R+ such that ⌊β⌋ = p−1 and use β-expansions rather than base-p expansions; that is, we put into the correspondence to the pair of input/output words the following point on the torus: (χk−1β−1 + ∙ ∙ ∙ χ1β−k+1 + χ0β−k; ξk−1β−1 ∙ ∙ ∙ + ξ1β−k+1 + ξ0β−k) Then (as β = 1 + τ with τ small) necessarily the input/output alphabets are binary, and any torus link can be ascribed to a matter wave cei(ax−2πbt) where x, t are space and time coordinates accordingly. Therefore our main theorem can serve a mathematical reasoning why a specific ‘it’ — the matter wave, which is a core of quantum theory — is indeed ‘from bit’; that is, from sufficiently long binary inputs of an automaton with a relatively small number of states.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 75

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

We may take β ∈ R+ such that ⌊β⌋ = p−1 and use β-expansions rather than base-p expansions; Then (as β = 1 + τ with τ small) necessarily the input/output alphabets are binary, and any torus link can be ascribed to a matter wave cei(ax−2πbt) where x, t are space and time coordinates accordingly. The approach seemingly reveals more correspondences between phys- ical entities and mathematical properties of automata, for instance: helicity corresponds to the sign of a;

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

slide-76
SLIDE 76

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

We may take β ∈ R+ such that ⌊β⌋ = p−1 and use β-expansions rather than base-p expansions; Then (as β = 1 + τ with τ small) necessarily the input/output alphabets are binary, and any torus link can be ascribed to a matter wave cei(ax−2πbt) where x, t are space and time coordinates accordingly. The approach seemingly reveals more correspondences between phys- ical entities and mathematical properties of automata, for instance: helicity corresponds to the sign of a; probability of finding a particle at a certain point of space corresponds to the average amplitude when t ∈ [0, ∞);

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

slide-77
SLIDE 77

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

We may take β ∈ R+ such that ⌊β⌋ = p−1 and use β-expansions rather than base-p expansions; Then (as β = 1 + τ with τ small) necessarily the input/output alphabets are binary, and any torus link can be ascribed to a matter wave cei(ax−2πbt) where x, t are space and time coordinates accordingly. The approach seemingly reveals more correspondences between phys- ical entities and mathematical properties of automata, for instance: helicity corresponds to the sign of a; probability of finding a particle at a certain point of space corresponds to the average amplitude when t ∈ [0, ∞); automata with multiple inputs/outputs correspond to finite-dimensional Hilbert spaces (to include into the consideration infinite-dimensional Hilbert spaces one needs to consider automata of measure 0 rather then just finite ones);

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 78

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

We may take β ∈ R+ such that ⌊β⌋ = p−1 and use β-expansions rather than base-p expansions; Then (as β = 1 + τ with τ small) necessarily the input/output alphabets are binary, and any torus link can be ascribed to a matter wave cei(ax−2πbt) where x, t are space and time coordinates accordingly. helicity corresponds to the sign of a; probability of finding a particle at a certain point of space corresponds to the average amplitude when t ∈ [0, ∞); automata with multiple inputs/outputs correspond to Hilbert spaces ; pure states correspond to ergodic linear subautomata, mixed states correspond to automata states leading to more than 1 ergodic subautomata; entagled states correspond to states from ergodic subautomata of automata with multiple inputs/outputs.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 79

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

pure states correspond to ergodic linear subautomata, mixed states correspond to automata states leading to more than 1 ergodic subautomata; entagled states correspond to states from ergodic subautomata of automata with multiple inputs/outputs.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 80

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

Interpretation of the case β = 1 + τ where 0 < τ ≪ 1 In our model, βj may be interpreted as a time which is needed to acquire the next j-th bit; so the time Tk needed to acquire a k-bit information is exponential in k, namely Tk = 1

τ (βk − 1).

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 81

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

Interpretation of the case β = 1 + τ where 0 < τ ≪ 1 In our model, βj may be interpreted as a time which is needed to acquire the next j-th bit; so the time Tk needed to acquire a k-bit information is exponential in k, namely Tk = 1

τ (βk − 1).

Note that then Tk ≈ k for large k.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

slide-82
SLIDE 82

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

Interpretation of the case β = 1 + τ where 0 < τ ≪ 1 In our model, βj may be interpreted as a time which is needed to acquire the next j-th bit; so the time Tk needed to acquire a k-bit information is exponential in k, namely Tk = 1

τ (βk − 1).

Note that then Tk ≈ k for large k. The case Tk ∼ k implies that the time needed to acquire the next j-th bit does not depend on j.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 83

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

Interpretation of the case β = 1 + τ where 0 < τ ≪ 1 In our model, βj may be interpreted as a time which is needed to acquire the next j-th bit; so the time Tk needed to acquire a k-bit information is exponential in k, namely Tk = 1

τ (βk − 1).

Note that then Tk ≈ k for large k. The case Tk ∼ k implies that the time needed to acquire the next j-th bit does not depend on j. But E. Lerner recently has shown that in the latter case the plot will be a polygon (=”body”) rather than a torus winding (=”wave”).

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 84

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

Interpretation of the case β = 1 + τ where 0 < τ ≪ 1 In our model, βj may be interpreted as a time which is needed to acquire the next j-th bit; so the time Tk needed to acquire a k-bit information is exponential in k, namely Tk = 1

τ (βk − 1).

Note that then Tk ≈ k for large k. The case Tk ∼ k implies that the time needed to acquire the next j-th bit does not depend on j. But E. Lerner recently has shown that in the latter case the plot will be a polygon (=”body”) rather than a torus winding (=”wave”). So in QT acquiring of information actually is exponential in time, in a contrast to classical case when this is linear. In our model, classical case appears as a limit case at τ → 0; i.e., as it should be: In a contrast to QT, there are arbitrarily small time intervals in classical case.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 85

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

In our model, classical case appears as a limit case at τ → 0; i.e., as it should be: In a contrast to QT, there are arbitrarily small time intervals in classical case.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 86

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

In our model, classical case appears as a limit case at τ → 0; i.e., as it should be: In a contrast to QT, there are arbitrarily small time intervals in classical case.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 87

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

In our model, classical case appears as a limit case at τ → 0; i.e., as it should be: In a contrast to QT, there are arbitrarily small time intervals in classical case.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

slide-88
SLIDE 88

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

In our model, classical case appears as a limit case at τ → 0; i.e., as it should be: In a contrast to QT, there are arbitrarily small time intervals in classical case.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 89

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

In our model, classical case appears as a limit case at τ → 0; i.e., as it should be: In a contrast to QT, there are arbitrarily small time intervals in classical case.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

slide-90
SLIDE 90

Relations to quantum theory Torus windings and wave functions

Using β-expansions of numbers

In our model, classical case appears as a limit case at τ → 0; i.e., as it should be: In a contrast to QT, there are arbitrarily small time intervals in classical case.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 18 / 27

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SLIDE 91

Messages of the talk Discreteness+Causality+Finiteness ⇒ Waves

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 19 / 27

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SLIDE 92

Messages of the talk Discreteness+Causality+Finiteness ⇒ Waves Waves, the its, are indeed from bits

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 19 / 27

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SLIDE 93

Messages of the talk Discreteness+Causality+Finiteness ⇒ Waves Waves, the its, are indeed from bits Acquisition of information in QT during a measurement is exponential in time (though base is close to 1)

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 19 / 27

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SLIDE 94

Thank you!

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 20 / 27

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SLIDE 95

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 21 / 27

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SLIDE 96

p = 2: f(x) = 1 + x + 4x2; α(f) = 1.

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 22 / 27

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SLIDE 97

f(z) = 11

15z + 1 21, p = 2. (Therefore Nf = mult7 2 = 3)

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 23 / 27

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SLIDE 98

f1(z) = −2z + 1

3; f2(z) = 3 5z + 2 7, (p = 2).

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 24 / 27

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SLIDE 99

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 25 / 27

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SLIDE 100

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 26 / 27

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SLIDE 101

Vladimir Anashin (MSU-RAS) Quantization causes waves September 8, 2015, Belgrade 27 / 27