ma354 1.1 dynamical systems modeling change. introduction and historical context

29
MA354 1.1 Dynamical Systems MODELING CHANGE

Upload: erika-goodman

Post on 30-Dec-2015

224 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

MA354

1.1 Dynamical Systems

MODELING CHANGE

Page 2: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Introductionand

Historical Context

Page 3: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Modeling Change: Dynamical Systems

A dynamical system is a changing system.

Definition

Dynamic: marked by continuous and productive activity or change

(Merriam Webster)

Page 4: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Modeling Change: Dynamical Systems

A dynamical system is a changing system.

Definition

Dynamic: marked by continuous and productive activity or change

(Merriam Webster)

Page 5: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Historical Context

• the term ‘dynamical system’ originated from the field of Newtonian mechanics

• the evolution rule was given implicitly by a relation that gives the state of the system only a short time into the future.

system: x1, x2, x3, … (states as time increases)

Implicit relation: xn+1 = f(xn)

Source: Wikipedia

17th century

Page 6: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Dynamical Systems Cont.

• To determine the state for all future times requires iterating the relation many times—each advancing time a small step.

• The iteration procedure is referred to as solving the system or integrating the system.

Source: Wikipedia

Page 7: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

• Once the system can be solved, given an initial point it is possible to determine all its future points

• Before the advent of fast computing machines, solving a dynamical system was difficult in practice and could only be accomplished for a small class of dynamical systems.

Source: Wikipedia

Dynamical Systems Cont.

Page 8: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

A Classic Dynamical System

The double pendulum

The model tracks the velocities and positions of the two masses. Source: Wikipedia

Evidences rich dynamical behavior, including chaotic behavior for some parameters.

Motion described by coupled ODEs.

Source: math.uwaterloo

Page 9: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

The Double Pendulum

Chaotic: sensitive dependence upon initial conditions

Source: math.uwaterloo

These two pendulums start out with slightly different initial velocities.

Page 10: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

State and State Space

• A dynamical system is a system that is changing over time.

• At each moment in time, the system has a state. The state is a list of the variables that describe the system. – Example: Bouncing ball

State is the position and the velocity of the ball

Page 11: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

State and State Space

• Over time, the system’s state changes. We say that the system moves through state space

• The state space is an n-dimensional space that includes all possible states.

• As the system moves through state space, it traces a path called its trajectory, orbit, or numerical solution.

• Depending on the starting point (initial conditions) a dynamical system has many different solutions.

Page 12: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Formulating Dynamical Systems:

discrete: Difference Equationscontinuous: Differential Equations

…Implicit Equations

Page 13: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Modeling Change: Dynamical Systems

From your book:

‘Powerful paradigm’

future value = present value + change

….equivalently:

change = future value – current value

Page 14: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Modeling Change: Dynamical Systems

From your book:

‘Powerful paradigm’

future value = present value + change

….equivalently:

change = future value – current value

an = an+1 – an

Page 15: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Describing Change (Discrete verses Continuous)

• Discrete description: Difference Equation

• Continuous description: Differential Equation

)()( xfxxff

t

xftxfxf

t

)()(lim)(

0

Page 16: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Implicit Equations

Since dynamical systems are defined by defining the change that occurs between events, they are naturally defined implicitly rather than explicitly.

(differential equations describe how the function is changing, rather than the function explicitly)

Page 17: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Comparing an Explicit Verses Implicit Description in Excel

• Implicit Expression:

• Explicit Expression:

52

5151k

kk

kf

)2()1(

2

1

,1

,1

nnn aaa

a

aTo find the nth term, you must have initial conditions, and you must calculate the first (n-1) terms.

The initial conditions are ‘built in’, and to find the nth term, you simply plug in n and make a single computation.

First 10 terms:{1,1,2,3,5,8,13,21,34,55}

First 10 terms:{1,1,2,3,5,8,13,21.0,34.0,55.0}

Page 18: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Example: Group Problem

• Given the following sequence, find the explicit and implicit descriptions:

,11,9,7,5,3,1

Page 19: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Additional Examples of Implicit Descriptions

I. ak+1 = ak∙ak

II. ak = 5

III. ak+2 = ak + ak+1

Constant Sequence

Fibonacci Sequence

Find the first three terms given different initial conditions.

Page 20: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Class Project: Dynamical System in Excel

In groups of 3, we’ll create a dynamical system using the “fill down” function in Excel.

I. In groups, create a dynamical system in Excel by producing the states of the system in a table where columns describe different states and rows correspond to different times.

II. The dynamical system should describe the value of a savings certificate initially worth $1000 that accumulates interest paid each month at 1% per month.

Page 21: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

MA354

Difference Equations(Homework Problem Example)

Page 22: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

… consider a sequence

A={a0, a1, a2,…}

The set of first differences is

a0= a1 – a0 ,

a1= a2 – a1 ,

a2= a3 – a1, …

where in particular the nth first difference is

an+1= an+1 – an.

Page 23: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Homework Assignment 1.1

• Problems 1-4, 7-8.

Page 24: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Homework Assignment 1.1

• Problems 1-4, 7-8.

Example(3a) By examining the following sequences, write a difference

equation to represent the change during the nth interval as a function of the previous term in the sequence.

,10,8,6,4,2

Page 25: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Example 3(a)

(3a) By examining the following sequences, write a difference equation to represent the change during the nth interval as a function of the previous term in the sequence.

,10,8,6,4,2

Page 26: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Example 3(a)

(3a) By examining the following sequences, write a difference equation to represent the change during the nth interval as a function of the previous term in the sequence.

,10,8,6,4,2

We’re looking for a description of this sequence in terms of the differences between terms:

an = change = new – old = xn+1 – xn

Page 27: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Example 3(a)

(3a) By examining the following sequences, write a difference equation to represent the change during the nth interval as a function of the previous term in the sequence.

,10,8,6,4,2

We’re looking for a description of this sequence in terms of the differences between terms:

an = change = new – old = xn+1 – xn

(1) Find implicit relation for an+1 in terms of an

(2) Solve an = an+1 – an

Page 28: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Example 3(a)

(3a) By examining the following sequences, write a difference equation to represent the change during the nth interval as a function of the previous term in the sequence.

,10,8,6,4,2

We’re looking for a description of this sequence in terms of the differences between terms:

an = change = new – old = xn+1 – xn

an+1 = an+2(1) Find implicit relation for an+1 in terms of an

(2) Solve an = an+1 – an

an = 2

Page 29: MA354 1.1 Dynamical Systems MODELING CHANGE. Introduction and Historical Context

Markov Chain

A markov chain is a dynamical system in which the state at time t+1 only depends upon the state of the system at time t. Such a dynamical system is said to be “memory-less”. (This is the ‘Markov property’.)

Counter-example: Fibonacci sequence