Multiple-scale analysis

{{Distinguish|Multiresolution analysis}}

In mathematics and physics, multiple-scale analysis (also called the method of multiple scales) comprises techniques used to construct uniformly valid approximations to the solutions of perturbation problems, both for small as well as large values of the independent variables. This is done by introducing fast-scale and slow-scale variables for an independent variable, and subsequently treating these variables, fast and slow, as if they are independent. In the solution process of the perturbation problem thereafter, the resulting additional freedom – introduced by the new independent variables – is used to remove (unwanted) secular terms. The latter puts constraints on the approximate solution, which are called solvability conditions.

Mathematics research from about the 1980s proposes{{Citation needed|date=December 2024}} that coordinate transforms and invariant manifolds provide a sounder support for multiscale modelling (for example, see center manifold and slow manifold).

Example: undamped Duffing equation

=Differential equation and energy conservation=

As an example for the method of multiple-scale analysis, consider the undamped and unforced Duffing equation:This example is treated in: Bender & Orszag (1999) pp. 545–551.

\frac{d^2 y}{d t^2} + y + \varepsilon y^3 = 0, y(0)=1, \qquad \frac{dy}{dt}(0)=0,

which is a second-order ordinary differential equation describing a nonlinear oscillator. A solution y(t) is sought for small values of the (positive) nonlinearity parameter 0 < ε ≪ 1. The undamped Duffing equation is known to be a Hamiltonian system:

\frac{dp}{dt}=-\frac{\partial H}{\partial q}, \qquad \frac{dq}{dt}=+\frac{\partial H}{\partial p}, \quad \text{ with } \quad H = \tfrac12 p^2 + \tfrac12 q^2 + \tfrac14 \varepsilon q^4,

with q = y(t) and p = dy/dt. Consequently, the Hamiltonian H(pq) is a conserved quantity, a constant, equal to H0 = {{sfrac|1|2}} + {{sfrac|1|4}} ε for the given initial conditions. This implies that both q and p have to be bounded:

\left| q \right| \le \sqrt{1 + \tfrac12 \varepsilon} \quad \text{ and } \quad \left| p \right| \le \sqrt{1 + \tfrac12 \varepsilon} \qquad \text{ for all } t.The bound on q is found by equating H with p = 0 to H0: \tfrac12 q^2 + \tfrac14 \varepsilon q^4 = \tfrac12 + \tfrac14 \varepsilon, and then dropping the q4 term. This is indeed an upper bound on |q|, though keeping the q4 term gives a smaller bound with a more complicated formula.

=Straightforward perturbation-series solution=

A regular perturbation-series approach to the problem proceeds by writing y(t) = y_0(t) + \varepsilon y_1(t) + \mathcal{O}(\varepsilon^2) and substituting this into the undamped Duffing equation. Matching powers of \varepsilon gives the system of equations

\begin{align}

\frac{d^2 y_0}{dt^2} + y_0 &= 0,\\

\frac{d^2 y_1}{dt^2} + y_1 &= - y_0^3.

\end{align}

Solving these subject to the initial conditions yields

y(t) = \cos(t)

+ \varepsilon \left[ \tfrac{1}{32} \cos(3t) - \tfrac{1}{32} \cos(t) - \underbrace{\tfrac 3 8\, t\, \sin(t)}_\text{secular} \right]

+ \mathcal{O}(\varepsilon^2).

Note that the last term between the square braces is secular: it grows without bound for large |t|. In particular, for t = O(\varepsilon^{-1}) this term is O(1) and has the same order of magnitude as the leading-order term. Because the terms have become disordered, the series is no longer an asymptotic expansion of the solution.

=Method of multiple scales=

To construct a solution that is valid beyond t = O(\epsilon^{-1}), the method of multiple-scale analysis is used. Introduce the slow scale t1:

t_1 = \varepsilon t

and assume the solution y(t) is a perturbation-series solution dependent both on t and t1, treated as:

y(t) = Y_0(t,t_1) + \varepsilon Y_1(t,t_1) + \cdots.

So:

\begin{align}

\frac{dy}{dt}

&= \left( \frac{\partial Y_0}{\partial t} + \frac{dt_1}{dt} \frac{\partial Y_0}{\partial t_1} \right)

+ \varepsilon \left( \frac{\partial Y_1}{\partial t} + \frac{dt_1}{dt} \frac{\partial Y_1}{\partial t_1} \right)

+ \cdots

\\

&= \frac{\partial Y_0}{\partial t}

+ \varepsilon \left( \frac{\partial Y_0}{\partial t_1} + \frac{\partial Y_1}{\partial t} \right)

+ \mathcal{O}(\varepsilon^2),

\end{align}

using dt1/dt = ε. Similarly:

\frac{d^2 y}{d t^2}

= \frac{\partial^2 Y_0}{\partial t^2}

+ \varepsilon \left( 2 \frac{\partial^2 Y_0}{\partial t\, \partial t_1} + \frac{\partial^2 Y_1}{\partial t^2} \right)

+ \mathcal{O}(\varepsilon^2).

Then the zeroth- and first-order problems of the multiple-scales perturbation series for the Duffing equation become:

\begin{align}

\frac{\partial^2 Y_0}{\partial t^2} + Y_0 &= 0, \\

\frac{\partial^2 Y_1}{\partial t^2} + Y_1 &= - Y_0^3 - 2\, \frac{\partial^2 Y_0}{\partial t\, \partial t_1}.

\end{align}

=Solution=

The zeroth-order problem has the general solution:

Y_0(t,t_1) = A(t_1)\, e^{+it} + A^\ast(t_1)\, e^{-it},

with A(t1) a complex-valued amplitude to the zeroth-order solution Y0(tt1) and i2 = −1. Now, in the first-order problem the forcing in the right hand side of the differential equation is

\left[ -3\, A^2\, A^\ast - 2\, i\, \frac{dA}{dt_1} \right]\, e^{+it} - A^3\, e^{+3it} + c.c.

where c.c. denotes the complex conjugate of the preceding terms. The occurrence of secular terms can be prevented by imposing on the – yet unknown – amplitude A(t1) the solvability condition

-3\, A^2\, A^\ast - 2\, i\, \frac{dA}{dt_1} = 0.

The solution to the solvability condition, also satisfying the initial conditions {{math|1=y(0) = 1}} and {{math|1=dy/dt(0) = 0}}, is:

A = \tfrac 1 2\, \exp \left(\tfrac 3 8\, i \, t_1 \right).

As a result, the approximate solution by the multiple-scales analysis is

y(t) = \cos \left[ \left( 1 + \tfrac38\, \varepsilon \right) t \right] + \mathcal{O}(\varepsilon),

using {{math|1=t1 = εt}} and valid for {{math|1=εt = O(1)}}. This agrees with the nonlinear frequency changes found by employing the Lindstedt–Poincaré method.

This new solution is valid until t = O(\epsilon^{-2}). Higher-order solutions – using the method of multiple scales – require the introduction of additional slow scales, i.e., {{math|1=t2 = ε2 t}}, {{math|1=t3 = ε3 t}}, etc. However, this introduces possible ambiguities in the perturbation series solution, which require a careful treatment (see {{harvnb|Kevorkian|Cole|1996}}; {{harvnb|Bender|Orszag|1999}}).Bender & Orszag (1999) p. 551.

=Coordinate transform to amplitude/phase variables=

Alternatively, modern approaches derive these sorts of models using coordinate transforms, like in the method of normal forms,{{citation| first1=C.-H. |last1=Lamarque |first2=C. |last2=Touze |first3=O. |last3=Thomas |title=An upper bound for validity limits of asymptotic analytical approaches based on normal form theory |journal=Nonlinear Dynamics |pages=1931–1949|year=2012 |volume=70 |issue=3 |doi=10.1007/s11071-012-0584-y |bibcode=2012NonDy..70.1931L |hdl=10985/7473 |s2cid=254862552 |url=https://hal.archives-ouvertes.fr/hal-00880968/file/LSIS-INSM_nonli_dyn_2012_thomas.pdf }} as described next.

A solution y\approx r\cos\theta is sought in new coordinates (r,\theta) where the amplitude r(t) varies slowly and the phase \theta(t) varies at an almost constant rate, namely d\theta/dt\approx 1. Straightforward algebra finds the coordinate transform{{citation needed|date=June 2015}}

y=r\cos\theta +\frac1{32}\varepsilon r^3\cos3\theta +\frac1{1024}\varepsilon^2r^5(-21\cos3\theta+\cos5\theta)+\mathcal O(\varepsilon^3)

transforms Duffing's equation into the pair that the radius is constant dr/dt=0 and the phase evolves according to

\frac{d\theta}{dt} = 1 + \frac 3 8 \varepsilon r^2 -\frac{15}{256}\varepsilon^2r^4 +\mathcal O(\varepsilon^3).

That is, Duffing's oscillations are of constant amplitude r but have different frequencies d\theta/dt depending upon the amplitude.{{citation |first=A.J. |last=Roberts |title=Modelling emergent dynamics in complex systems |url=http://www.maths.adelaide.edu.au/anthony.roberts/modelling.php |accessdate=2013-10-03 }}

More difficult examples are better treated using a time-dependent coordinate transform involving complex exponentials (as also invoked in the previous multiple time-scale approach). A web service will perform the analysis for a wide range of examples.{{When|date=July 2024}}{{citation |first=A.J. |last=Roberts |title=Construct centre manifolds of ordinary or delay differential equations (autonomous) |url=http://www.maths.adelaide.edu.au/anthony.roberts/gencm.php |accessdate=2013-10-03 }}

See also

Notes

{{reflist}}

References

{{refbegin}}

  • {{citation

| last1=Kevorkian | first1=J.

| last2=Cole | first2=J. D.

| title=Multiple scale and singular perturbation methods

| year=1996

| publisher=Springer

| isbn=978-0-387-94202-5

}}

  • {{citation

| first1=C.M. | last1=Bender | authorlink1=Carl M. Bender

| first2=S.A. | last2=Orszag | authorlink2=Steven A. Orszag

| title=Advanced mathematical methods for scientists and engineers

| publisher=Springer

| year=1999

| isbn=978-0-387-98931-0

| pages=544–568

}}

  • {{citation

| title = Perturbation methods

| first = A.H. | last = Nayfeh | author-link = Ali H. Nayfeh

| year = 2004

| publisher = Wiley–VCH Verlag | isbn = 978-0-471-39917-9

}}

  • {{citation

| title = Physics of Wave Turbulence

| first = S. | last = Galtier

| year = 2023

| publisher = Cambridge University Press | isbn = 978-1-009-27588-0

}}

{{refend}}