three theorems of poincare
Post on 17-Oct-2014
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DESCRIPTION
In this talk, I looked at three theorems due to Poincaré concerning the long-term behavior of dynamical systems, namely, the Poincaré–Perron Theorem, the Poincaré–Bendixson Theorem and the rather counterintuitive Poincaré Recurrence Theorem, along with their proofs. Certain aspects of ergodic theory and topological dynamics, for instance, their applications in number theory and analysis (Green–Tao Theorem and Szemerédi’s Theorem), were also touched upon.TRANSCRIPT
Poincaré:three theorems on the asymptotic
behavior of dynamical systems
Arpan SahaEngineering Physics with Nanoscience
IIT Bombay
October 3, 2010
Change alone iseternal,
perpetual,immortal.
– Arthur Schopenhauer
Henri Poincaré(1854 - 1912)
A polymath, he is known in mathematical circles as the Last Universalist due to the large number of significant contributions he made to various fields of mathematics and physics especially the then nascent study of dynamical systems.
The Three Theorems
Even in this single field, the list of his contributions is no small one. We’ll hence be looking at only three of his theorems:
• Poincaré-Perron Theorem• Poincaré-Bendixson Theorem• Poincaré Recurrence Theorem
Some problems/questions
Hopefully, these results shall enable us to solve some interesting problems such as:
• Given any finite colouring C1, C2, … , Ck of the set of integers, there are arbitrary large arithmetic progressions of the same colour.
• A man with irrational step walks around a circle of length 1. The circle has a ditch of width . Show that sooner or later, he will step into the ditch no matter how small will be.
The Poincaré-Perron Theorem
This theorem describes the long-term behavior of iterated maps defined by linear recurrence
relations as approximately geometric progressions with common factor being a root of the
‘characteristic polynomial’ of the recurrence.
Statement
Given a linear homogeneous recurrence relation in with constant coefficientsa0x(n) + a1x(n + 1) + … + akx(n + k) = 0
with characteristic roots i, such that distinct roots have distinct moduli, then x(n + 1)/x(n) i for some i, as n .
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Proof of the Theorem
• First we find a general solution for the recurrence relation as a linear combination of basis functions of n, in a manner analogous to the case of differential equations.
• We then express the ratio x(n + 1)/x(n) in terms of these solutions and compute the limit for the various cases of arbitrary constants.
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Q. E. D.
Comments on the Proof
What if distinct roots don’t have distinct moduli?
Let’s consider the case where k = 2 and a1 and a2 are real.
We see that in general the limit does not exist.
But for certain particular solutions, it does.
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Terminology and Clarifications
To proceed with the next theorem, we will need to develop some terminology and clarify concepts which haven’t been so clearly defined such as:
• Dynamical systems and flows• Orbits, semiorbits and invariant sets• Limit, limit point, - and -limit point• Sequential compactness• Transversal and flow box• Monotone on trajectory• Monotone on transversal
The Poincaré-Bendixson Theorem
This theorem establishes the sufficient conditions for the phase-space trajectories through a given
point to approach a limit cycle.
Statement of the theorem
Every -limit set of a C1 flow defined over a sequentially compact and simply connected subset of the plane that does not contain an equilibrium point is a (nondegenerate) periodic orbit.
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Proof of the TheoremThe result immediately follows from four lemmas
that we are about to prove:• Lemma 1: If the intersections of the positive
semiorbit of a point with a transversal are monotonic on the trajectory, they are also monotonic on the transversal.
• Lemma 2: The -limit set of a point cannot intersect a transversal at more than one point.
• Lemma 3: An -limit point of an -limit point of a point lies on a periodic orbit.
• Lemma 4: If the -limit of a point contains a nondegenerate period orbit, then the -limit set is the periodic orbit.Th
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Comments on the proof
We have seen that the proof critically hinges upon the validity of the Jordan Curve Theorem and the fact that the transversal is 1D.
Hence the theorem is not applicable to manifolds of dimension greater than 2.
But amongst those of dimension 2, only subsets homeomorphic to compact, simply connected subsets of the plane or the 2-sphere respect the PB theorem.
Hence, PB doesn’t work for surfaces of higher genus such as tori as they don’t satisfy the Jordan curve theorem.
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A Corollary
If a positively (negatively) invariant, closed and bounded subset of a plane contains no stable (unstable) fixed point then it must contain an -(-)limit cycle.
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What about structure?
We’ll now move into very different kinds of questions about dynamical systems such as:
Hamiltonian systems Finite systems Group actions Cyclic groups Bernoulli systemsMore specifically, we’ll be briefly looking at some systems with
nice structural aspects, while spending some time over a rather cool theorem called the Poincaré Recurrence Theorem.
The Notion of Measure
For our last theorem today, we will need to acquaint ourselves with some measure theoretic ideas.
The concept of measure was spearheaded by Henri Lebesgue in his attempt to generalize the Riemann-Stieltjes Integral to much more exotic functions.
Informally, it refers to the ‘size’ of a set.
The Notion of Measure
More formally, if X is a space, and X a -algebra of the subsets of X that we consider ‘measurable’, then the measure is assignment of nonnegative reals and + to sets in X, such that the following hold:
• The measure of the null set, () = 0• The measure of a countable union of pairwise disjoint sets of X is the sum of the measures of the individual sets.
The triple (X, X, ) is referred to as a measure space and any flow such that ((t, S)) = (S) for all t in the time set and all S in X is said to be measure-preserving.
The Poincaré Recurrence Theorem
This theorem asserts that a dynamical system with a measure-preserving flow revisits any measurable
set infinitely many times for almost all initial points in the set.
Statement
If = (X, X, ) is a measure space with (X) < and f: is a measure-preserving bijection, then for any measurable set E X, the set of points x in E such that x fn(E) for only finitely many natural numbers n, has measure zero.
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Proof of the TheoremLet E be the given measurable set and An be the
countably infinite union of f–n(E), f–(n + 1)(E), f–(n +2)(E) and so on. The proof now essentially becomes five steps:
• Argue E A0, and Al Am if m < l
• Argue f–n(A0) = An, hence (An) = (A0) for all integers n.
• Show (E\An) (A0\An) = 0• Conclude that the measure of the countably
infinite union of E\A1, E\A2, E\A3 and so on is zero as well.
• Argue that this union is precisely the set of points x in E such that fn(x) E for only finitely many n.Th
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Q. E. D.
Terence Tao’s Version
Terence Tao gave a somewhat stronger version of the PR theorem.
Continuing with the notation introduced in the previous formulation, Tao’s statement is:
lim supn +(E fnE) ((E))2
This follows from the Cauchy-Schwarz Inequality for integrals, and is a more explicit qualitative strengthening of the Pigeonhole Principle.Th
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The Recurrence ParadoxWe will briefly digress to remark on a curious
paradox that has becomed inextricably linked with PR’s history.
Liouville showed that Hamilton’s Equations of Motion preserve volume in phase space i.e. they give rise to a measure-preserving system.
The Poincaré Recurrence Theorem must hence apply.
But for large collections of particles such as those in a gas, it seemingly contradicts the Second Law of Thermodynamics. Th
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The Recurrence Paradox
Ernst Zermelo, in his letters to Boltzmann, used this point to argue against the kinetic theory of gases.
Boltzmann replied that it was permissible for a system of large number of particles to exhibit low-entropy fluctuations.
What is your take on this?The
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Returning to PR, we can, in a similar spirit, prove the following theorem in ‘topological dynamics’:P
Let (U), ( being some indexing set), be an open cover of a topological dynamical system (X, ), and let k > 0 be an integer. Then there exists an open set U in this cover and a shift n 1 such that
U fn U … f(k – 1)nU (Equivalently, there exist U, n, and a point x such that x, fnx, … ,f(k – 1)nx U.)
Further Applications
Ergodic theory is the only framework which attempts to understand ‘the structure and randomness of primes’.
Topological Dynamics provides many insights in the areas of combinatorics and number theory.
Any set of positive integers with positive upper density contains arbitrary large arithmetic progressions.
– Szemerédi’s theorem
The sequence of primes has arbitrarily large arithmetic progressions.
– Green–Tao theorem
References
• Robinson, Dynamical Systems, World Scientific• Elaydi, An Introduction to Difference Equations, Springer• Milne-Thomson, The Calculus of Finite Differences• Shivamoggi, Nonlinear Dynamics and Chaotic Phenomena, Kluwer
Academic• Terence Tao’s Mathematical Blog: terrytao.wordpress.com• Shepelyanski (2010), Poincaré Recurrences in Hamiltonian Systems with
Few Degrees of Freedom • Dutta (1966), On Poincaré’s Recurrence Theorem • Schwartz (1963), A Generalization of Poincaré-Bendixson Theorem to
Closed Two-Dimensional Manifolds, AJM, Vol. 85, No. 3• Barreira, Poincaré Recurrence: Old and New
Thank you!