How should I use the averaging approximation to find this?

  • #1
Math100
802
222
Homework Statement
Consider the differential equation ## \ddot{x}+\epsilon h(x, \dot{x})+x=0, 0<\epsilon<<1 ##. Let ## x(t) ## and ## y(t)=\dot{x}(t) ## be expressed in terms of the polar coordinates ## a(t) ## and ## \theta(t) ## through ## x(t)=a(t)\cos\theta(t), y(t)=a(t)\sin\theta(t) ##. Note that ## a(t) ## and ## \theta(t) ## satisfy the following differential equations:
## \dot{a}=-\epsilon\sin\theta h(a\cos\theta, a\sin\theta) ##,
## \dot{\theta}=-1-\frac{\epsilon}{a}\cos\theta h(a\cos\theta, a\sin\theta) ##.

a) By letting ## \theta(t)=\psi(t)-t ##, transform Equations ## \dot{a}=-\epsilon\sin\theta h(a\cos\theta, a\sin\theta) ## and ## \dot{\theta}=-1-\frac{\epsilon}{a}\cos\theta h(a\cos\theta, a\sin\theta) ## into non-autonomous differential equations for ## a(t) ## and ## \psi(t) ##. Hence use an averaging theorem to show that provided that ## \epsilon ## is small enough, Equations ## \dot{a}=-\epsilon\sin\theta h(a\cos\theta, a\sin\theta) ## and ## \dot{\theta}=-1-\frac{\epsilon}{a}\cos\theta h(a\cos\theta, a\sin\theta) ## can be well approximated by ## \dot{a}=-\epsilon p_{0}(a), \dot{\theta}=-1-\frac{\epsilon r_{0}(a)}{a} ##, where ## p_{0}(a)=\frac{1}{2\pi}\int_{0}^{2\pi}\sin u h(a\cos u, a\sin u)du, r_{0}(a)=\frac{1}{2\pi}\int_{0}^{2\pi}\cos u h(a\cos u, a\sin u)du ##.

b) Now consider the equation ## \ddot{x}+\epsilon(x^4-b^4)\dot{x}+x=\epsilon\gamma x\dot{x}^4, 0<\epsilon<<1, b>0 ##, where ## b ## and ## \gamma ## are constants. Use the averaging approximation of part (a) to show that the system has a stable limit cycle with amplitude ## A ## and angular frequency ## \omega ## given approximately by ## A=8^{1/4}b, \omega=1-\frac{1}{2}\epsilon\gamma b^4 ##. (Hint: Note the following identity: ## cos^{4}\theta\sin^{2}\theta=\frac{1}{16}+\frac{1}{32}\cos 2\theta-\frac{1}{16}\cos 4\theta-\frac{1}{32}\cos 6\theta. ##)
Relevant Equations
Not given.
a) Proof:

Consider the equations ## \dot{a}=-\epsilon\sin\theta h(a\cos\theta, a\sin\theta) ## and ## \dot{\theta}=-1-\frac{\epsilon}{a}\cos\theta h(a\cos\theta, a\sin\theta) ##.
Let ## \theta(t)=\psi(t)-t ##.
Then ## \dot{\theta}(t)=\dot{\psi}(t)-1 ##.
By direct substitution of ## \dot{\theta}(t)=\dot{\psi}(t)-1 ##, we have ## \dot{\psi}(t)-1=-1-\frac{\epsilon}{a}\cos\theta h(a\cos\theta, a\sin\theta)\implies \dot{\psi}(t)=-\frac{\epsilon}{a}\cos(\psi(t)-t)\cdot h(a(t)\cos(\psi(t)-t), a(t)\sin(\psi(t)-t)) ##.
Hence, the non-autonomous differential equations for ## a(t) ## and ## \psi(t) ## are ## \dot{a}(t)=-\epsilon\sin(\psi(t)-t)\cdot h(a(t)\cos(\psi(t)-t), a(t)\sin(\psi(t)-t)) ## with ## \dot{\psi}(t)=-\frac{\epsilon}{a}\cos(\psi(t)-t)\cdot h(a(t)\cos(\psi(t)-t), a(t)\sin(\psi(t)-t)) ##.

b) Proof:

Consider the equation ## \ddot{x}+\epsilon(x^4-b^4)\dot{x}+x=\epsilon\gamma x\dot{x}^4, 0<\epsilon<<1, b>0 ##, where ## b ## and ## \gamma ## are constants.
By definition, the system ## \ddot{x}+\epsilon h(x, \dot{x})+x=0, 0<\epsilon<<1 ## has an approximately circular limit cycle given by the equations ## x=a_{0}\cos\omega t, y=\dot{x}=-a_{0}\sin\omega t, \omega=1 ##, where ## a_{0} ## satisfies the equation ## g(a)=0 ## such that ## g(a)=\epsilon a\int_{0}^{2\pi} h(a\cos t, -a\sin t)\sin t dt ##. The limit cycle is stable if ## g'(a_{0})<0 ## and unstable if ## g'(a_{0})>0 ##.
Note that the first-order approximation to the frequency ## \omega ## of the limit cycle equation is given by ## \omega=1+\frac{\epsilon}{2\pi a_{0}}\int_{0}^{2\pi} h(a_{0}\cos\theta, a_{0}\sin\theta)\cos\theta d\theta ##.
Then we have ## h(x, y)=h(x, \dot{x})=(x^4-b^4)\dot{x} ## where ## x=a\cos t ## and ## y=\dot{x}=-a\sin t ##.
This gives ## g(a)=\epsilon a\int_{0}^{2\pi} h(a\cos t, -a\sin t)\sin t dt=\epsilon a\int_{0}^{2\pi} (a^{4}\cos^{4} t-b^{4})(-a\sin t) dt=-\epsilon a^{2}\int_{0}^{2\pi}(a^{4}\cos^{4} t-b^{4})\sin t dt ##.
Observe that ## g(a)=-\epsilon a^{2}\int_{0}^{2\pi}(a^{4}\cos^{4}t-b^{4})\sin t dt\implies g(a)=-\epsilon a^{2}(\int_{0}^{2\pi} a^{4}\cos^{4} t\cdot\sin t dt)+\epsilon a^{2}\int_{0}^{2\pi} b^{4}\sin t dt\implies g(a)=-\epsilon a^{6}\int_{0}^{2\pi}\cos^{4} t\cdot\sin t dt+\epsilon a^{2}b^{4}\int_{0}^{2\pi}\sint dt\implies g(a)=-\epsilon a^{6}(-\frac{1}{5}+\frac{1}{5})+\epsilon a^{2}b^{4}(-1+1) ##.
Hence, ## g(a)=0 ##.

Up to here, I don't think the result I've got from part b) is correct, since ## g(a)=0 ##. But I want to know what exactly is the averaging approximation from part (a) that I should use/apply in part b) to obtain the given amplitude and the angular frequency ## \omega ##. Also for part (a), after I've got non-autonomous differential equations, how should I use/apply the averaging theorem? I have limited resource and couldn't find the exact definition for the averaging theorem from my book.
 
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  • #2
What "averaging theorems" do you know?
 
  • #3
pasmith said:
What "averaging theorems" do you know?
I think I've made mistakes in part b). Here's what I've revised so far:
Part b) Proof:

By definition, the system ## \ddot{x}+\epsilon h(x, \dot{x})+x=0, \lvert\epsilon\rvert<<1 ## has an approximately circular limit cycle given by the equations ## x=a_{0}\cos\omega t, y=\dot{x}=-a_{0}\sin\omega t, \omega=1 ##, where ## a_{0} ## satisfies the equation ## g(a)=0 ## such that ## g(a)=\epsilon a\int_{0}^{2\pi} h(a\cos t, -a\sin t)\sin t dt ##. The limit cycle is stable if ## g'(a_{0})<0 ## and unstable if ## g'(a_{0})>0 ##.
Consider the equation ## \ddot{x}+\epsilon(x^4-b^4)\dot{x}+x=\epsilon\gamma x\dot{x}^{4}, 0<\epsilon<<1, b>0 ##, where ## b ## and ## \gamma ## are constants.
Then we have ## h(x, y)=h(x, \dot{x})=(x^4-b^4)\dot{x}-\gamma x\dot{x}^{4} ##, because ## \ddot{x}+\epsilon(x^4-b^4)\dot{x}+x=\epsilon\gamma x\dot{x}^{4}\implies \ddot{x}+\epsilon(x^4-b^4)\dot{x}+x-\epsilon\gamma x\dot{x}^{4}=0\implies \ddot{x}+\epsilon[(x^4-b^4)\dot{x}-\gamma x\dot{x}^{4}]+x=0 ##.
Let ## x=a\cos t ## and ## y=\dot{x}=-a\sin t ##.
Note that ## h(x, y)=h(x, \dot{x})=(x^4-b^4)\dot{x}-\gamma x\dot{x}^{4}\implies h(x, y)=h(x, \dot{x})=(a^4\cos^{4} t-b^4)(-a\sin t)-\gamma(a\cos t)(-a\sin t)^{4} ##.
This gives ## h(x, y)=h(x, \dot{x})=ab^{4}\sin t-a^{5}\cos^{4} t\cdot\sin t-\gamma a^{5}\cos t\cdot\sin^{4} t ##.
Observe that ## g(a)=\epsilon a\int_{0}^{2\pi} h(a\cos t, -a\sin t)\sin t dt\implies g(a)=\epsilon a\int_{0}^{2\pi}(ab^{4}\sin t-a^{5}\cos^{4} t\cdot\sin t-\gamma a^{5}\cos t\cdot\sin^{4} t)\sin t dt\implies g(a)=\epsilon a^{2}\int_{0}^{2\pi}(b^{4}\sin^{2} t-a^{4}\cos^{4} t\cdot\sin^{2} t-\gamma a^{4}\cos t\cdot\sin^{5} t)dt\implies g(a)=\epsilon a^{2}[b^{4}\int_{0}^{2\pi}\sin^{2} t dt-a^{4}\int_{0}^{2\pi}\cos^{4} t\cdot\sin^{2} t dt-\gamma a^{4}\int_{0}^{2\pi}\cos t\cdot\sin^{5} t dt]\implies g(a)=\epsilon a^{2}[b^{4}(\pi-0)-a^{4}(\frac{24\pi}{192}-0)-\gamma a^{4}(0)] ##.
Hence, ## g(a)=\epsilon a^{2}(b^{4}\pi-\frac{24a^{4}\pi}{192})=0\implies g(a)=\epsilon a^{2}(b^{4}\pi-\frac{a^{4}\pi}{8})=0\implies g(a)=\epsilon a^{2}\pi(b^{4}-\frac{a^{4}}{8})=0 ##, where ## b^{4}-\frac{a^{4}}{8}=0 ## for ## a\neq 0 ##, so ## a^{4}=8b^{4}\implies a=\pm 2^{3/4}\cdot b ##.
Since there are limit cycles at ## a=\pm 2^{3/4}\cdot b ##, it follows that ## g'(a)=\epsilon\pi(2ab^{4}-\frac{3a^{5}}{4}) ##.

Up to here, what should I do for part b) in order to find the given amplitude ## A ## and the angular frequency ## \omega ##? As for part a) and the averaging theorem, I've done research and found out that the averaging theorem talks about the system with the following form: ## \dot{x}=\epsilon f(x, t, \epsilon), 0\leq\epsilon<<1 ## of a phase space variable ## x ##. The fast oscillation is given by ## f ## versus a slow drift of ## \dot{x} ##. The averaging method yields an autonomous dynamical system ## \dot{y}=\epsilon\frac{1}{T}\int_{0}^{T} f(y, s, 0)ds=: \epsilon\bar{f}(y) ##. But how should I apply this on part a)?
 
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  • #4
How does the unperturbed system in part (a) behave?
 

FAQ: How should I use the averaging approximation to find this?

What is the averaging approximation?

The averaging approximation is a statistical method used to estimate the expected value of a function or a set of data points by averaging their values. It simplifies complex calculations by assuming that the average behavior of a system can represent its overall performance.

When should I use the averaging approximation?

You should use the averaging approximation when dealing with large datasets or complex functions where exact calculations are impractical. It is particularly useful when the data is expected to be uniformly distributed or when individual variations are less significant than the overall trend.

How do I apply the averaging approximation to my data?

To apply the averaging approximation, first collect your data points or function values. Then, calculate the mean by summing all the values and dividing by the total number of points. This mean value can then be used as a representative estimate for further analysis or predictions.

What are the limitations of the averaging approximation?

One limitation of the averaging approximation is that it may not accurately represent data with significant outliers or skewed distributions. Additionally, it assumes that all data points contribute equally, which may not be the case in certain contexts. Therefore, it's important to consider the nature of your data before relying solely on this method.

Can the averaging approximation be used for non-numeric data?

The averaging approximation is primarily designed for numeric data, as it relies on mathematical operations like addition and division. However, for non-numeric data, you can use a similar approach by defining a suitable numerical representation or scoring system to quantify the data before applying the averaging method.

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