Single-step autonomous delay differential equation: Difference between revisions

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where <math>f</math> is a known function and <math>\tau > 0</math> is also known.
where <math>f</math> is a known function and <math>\tau > 0</math> is also known.
===Solution concept===
An explicit functional solution is a function <math>x(t)</math> that satisfies the following condition:
* If the domain is an interval bounded from below: The delay differential equation's interval of validity starts at a distance <math>\tau</math> after the beginning of the interval of definition of the function. In other words, if the function is defined on an interval <math>[r,s]</math>, the delay differential equation needs to be valid only on <math>[r + \tau,s]</math> (with one-sided derivative used at the upper endpoint).
* If the domain is an interval not bounded from below: In this case, the delay differential equation has to be valid everywhere on the domain of the function.


===Nature of initial value specification===
===Nature of initial value specification===


The ''initial value'' specification for this type of delay differential equation is a description of <math>x</math> as a function of <math>t</math> on an interval of length <math>\tau</math>, typically the left-most such interval in our domain.
If we are looking for solutions that are once differentiable, and are not insisting on higher order differentiability, the initial value specification is as follows: it is a description of <math>x</math> as a continuous function of <math>t</math> on an interval of length <math>\tau</math>, chosen as the left-most interval of the domain where we want the function to be defined. Note that if the left-most interval is <math>[a - \tau,a]</math>, then the delay differential equation becomes active only on <math>[a,\infty)</math>.


===Solution method===
Further, the initial value specification must satisfy the additional condition that the [[left-hand derivative]] of <math>x</math> at <math>a</math> is <math>f(x(a),x(a - \tau))</math>.
 
===Solution method: moving forward===


The solution method is called the ''method of steps''. The idea is that, if the function is known on an interval of the form <math>[a - \tau,a]</math>, we can figure out what it is on <math>[a,a+\tau]</math>, and then repeat the process to determine what the function is on <math>[a+\tau,a+2\tau]</math>, and continue to proceed in this way to determine the function everywhere on <math>[a,\infty)</math>.
The solution method is called the ''method of steps''. The idea is that, if the function is known on an interval of the form <math>[a - \tau,a]</math>, we can figure out what it is on <math>[a,a+\tau]</math>, and then repeat the process to determine what the function is on <math>[a+\tau,a+2\tau]</math>, and continue to proceed in this way to determine the function everywhere on <math>[a,\infty)</math>.
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<math>\frac{d}{dt}(\psi(t)) = f(\psi(t),\varphi(t - \tau))</math>
<math>\frac{d}{dt}(\psi(t)) = f(\psi(t),\varphi(t - \tau))</math>


This is an ''ordinary'' [[first-order first-degree differential equation]] in <math>\varphi</math> with an initial-value specification, so we expect it to have a unique solution.
This is an ''ordinary'' [[first-order first-degree differential equation]] in <math>\psi</math> with an initial-value specification, so we expect it to have a unique solution.
 
'''NOTE''': The method of steps also works for single-step ''non''-autonomous first-order first-degree delay differential equations, where <math>f</math> is replaced by a function that also depends on <math>t</math>. The difference now is that the solutions are no longer invariant under time translations. For a number of reasons, the autonomous case is encountered much more frequently than the non-autonomous case.
 
==Facts==
 
===Expect piecewise definitions for solutions===
 
Even if the initial value specification is an infinitely differentiable function, it is likely that when we extend it using the method of steps, the solution will have nice differentiability properties within each interval of length <math>\tau</math>, but not ''at'' the endpoints shared by the interval.
 
===Time translation invariance of solutions===
 
If <math>x(t)</math> is a solution function on an interval, then <math>t \mapsto x(t - \alpha)</math> is a solution function on the right translate of the interval by <math>\alpha</math>, for any fixed <math>\alpha \in \R</math>. This has specifically to do with the differential equation being autonomous.
 
==Examples==
 
Consider the delay differential equation:
 
<math>\frac{d}{dt}(x(t)) = x(t) + x(t - 1)</math>
 
Suppose that we are given that <math>x(t) = t</math> on <math>[0,1]</math>. We note that this initial value specification is consistent because the derivative <math>x'(1)</math> equals <math>x(1) + x(1 - 1)</math>.
 
We use the method of steps. Our first goal is to determine <math>x</math> on <math>[1,2]</math>. Explicitly, we are trying to find a function <math>\psi</math> on <math>[1,2]</math> such that:
 
<math>\frac{d}{dt}(\psi(t)) = \psi(t) + (t - 1)</math>
 
The differential equation with dependent variable <math>\psi</math> and independent variable <math>t</math> is:
 
<math>\psi' - \psi = t - 1</math>
 
This is a [[linear differential equation]]. The general solution would be:
 
<math>\psi(t) = -t + Ce^t</math>
 
We must choose <math>C</math> such that <math>\psi(1) = \varphi(1) = 1</math>, so <math>C = 2/e</math>. We get:
 
<math>\psi(t) = -t + 2e^{t-1}</math>.
 
Thus, we have:
 
<math>x(t) = -t + 2e^{t-1}, \qquad t \in [1,2]</math>
 
We can now do a similar procedure to find what <math>x(t)</math> looks like in <math>[2,3]</math>. Note that we will still get a linear differential equation but with a new particular solution:
 
<math>\psi' - \psi = 1 - t + 2e^{t-2}</math>
 
The general solution is:
 
<math>\psi(t) = t + 2te^{t-2} + Ce^t</math>
 
Plugging in that <math>\psi(2) = x(2) = 2e - 2</math>, we get <math>C = (2e - 8)/e^2</math>, so we get:
 
<math>\psi(t) = t + (2t - 8)e^{t-2} + 2e^{t-1}</math>
 
So:
 
<math>\psi(t) = t + (2t - 8)e^{t-2} + 2e^{t-1}, \qquad t \in [2,3]</math>
 
Overall, we have:
 
<math>x(t) = \left\lbrace \begin{array}{rl} t, & t \in [0,1] \\ -t + 2e^{t-1}, & t \in [1,2] \\ t + (2t - 8)e^{t-2} + 2e^{t-1}, & t \in [2,3]\end{array}\right.</math>
 
Note that the function has a piecewise definition, and at each transition point, it is <math>C^1</math> (i.e., [[continuously differentiable function|continuously differentiable]]) but not twice differentiable.

Latest revision as of 01:40, 16 July 2012

Definition

Form of the differential equation

This is a particular type of first-order first-degree autonomous delay differential equation, given explicitly as:

d(x(t))dt=f(x(t),x(tτ))

where f is a known function and τ>0 is also known.

Solution concept

An explicit functional solution is a function x(t) that satisfies the following condition:

  • If the domain is an interval bounded from below: The delay differential equation's interval of validity starts at a distance τ after the beginning of the interval of definition of the function. In other words, if the function is defined on an interval [r,s], the delay differential equation needs to be valid only on [r+τ,s] (with one-sided derivative used at the upper endpoint).
  • If the domain is an interval not bounded from below: In this case, the delay differential equation has to be valid everywhere on the domain of the function.


Nature of initial value specification

If we are looking for solutions that are once differentiable, and are not insisting on higher order differentiability, the initial value specification is as follows: it is a description of x as a continuous function of t on an interval of length τ, chosen as the left-most interval of the domain where we want the function to be defined. Note that if the left-most interval is [aτ,a], then the delay differential equation becomes active only on [a,).

Further, the initial value specification must satisfy the additional condition that the left-hand derivative of x at a is f(x(a),x(aτ)).

Solution method: moving forward

The solution method is called the method of steps. The idea is that, if the function is known on an interval of the form [aτ,a], we can figure out what it is on [a,a+τ], and then repeat the process to determine what the function is on [a+τ,a+2τ], and continue to proceed in this way to determine the function everywhere on [a,).

Let us say that we know that x(t)=φ(t) on the interval [aτ,a]. Then, x(t) is the solution ψ(t) to the following equation on [a,a+τ] subject to the condition ψ(a)=φ(a):

ddt(ψ(t))=f(ψ(t),φ(tτ))

This is an ordinary first-order first-degree differential equation in ψ with an initial-value specification, so we expect it to have a unique solution.

NOTE: The method of steps also works for single-step non-autonomous first-order first-degree delay differential equations, where f is replaced by a function that also depends on t. The difference now is that the solutions are no longer invariant under time translations. For a number of reasons, the autonomous case is encountered much more frequently than the non-autonomous case.

Facts

Expect piecewise definitions for solutions

Even if the initial value specification is an infinitely differentiable function, it is likely that when we extend it using the method of steps, the solution will have nice differentiability properties within each interval of length τ, but not at the endpoints shared by the interval.

Time translation invariance of solutions

If x(t) is a solution function on an interval, then tx(tα) is a solution function on the right translate of the interval by α, for any fixed αR. This has specifically to do with the differential equation being autonomous.

Examples

Consider the delay differential equation:

ddt(x(t))=x(t)+x(t1)

Suppose that we are given that x(t)=t on [0,1]. We note that this initial value specification is consistent because the derivative x(1) equals x(1)+x(11).

We use the method of steps. Our first goal is to determine x on [1,2]. Explicitly, we are trying to find a function ψ on [1,2] such that:

ddt(ψ(t))=ψ(t)+(t1)

The differential equation with dependent variable ψ and independent variable t is:

ψψ=t1

This is a linear differential equation. The general solution would be:

ψ(t)=t+Cet

We must choose C such that ψ(1)=φ(1)=1, so C=2/e. We get:

ψ(t)=t+2et1.

Thus, we have:

x(t)=t+2et1,t[1,2]

We can now do a similar procedure to find what x(t) looks like in [2,3]. Note that we will still get a linear differential equation but with a new particular solution:

ψψ=1t+2et2

The general solution is:

ψ(t)=t+2tet2+Cet

Plugging in that ψ(2)=x(2)=2e2, we get C=(2e8)/e2, so we get:

ψ(t)=t+(2t8)et2+2et1

So:

ψ(t)=t+(2t8)et2+2et1,t[2,3]

Overall, we have:

x(t)={t,t[0,1]t+2et1,t[1,2]t+(2t8)et2+2et1,t[2,3]

Note that the function has a piecewise definition, and at each transition point, it is C1 (i.e., continuously differentiable) but not twice differentiable.