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| if we make the following definitions | | if we make the following definitions |
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− | : <math> \left . \frac{\partial^2 U}{\partial x^2} \right |_{x=x_0} (x-x_0)^2 \; = k </math> | + | : <math> \left . \frac{\partial^2 U}{\partial x^2} \right |_{x=x_0} \; = k </math> |
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− | : <math>U(x) = \frac{1}{6} \left . \frac{\partial^4 U}{\partial x^4} \right |_{x=x_0} (x-x_0)^4 \; = \epsilon </math> | + | : <math>U(x) = \frac{1}{6} \left . \frac{\partial^4 U}{\partial x^4} \right |_{x=x_0} \; = \epsilon </math> |
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| and that the equilibrium point is located at the orgin | | and that the equilibrium point is located at the orgin |
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| 2.) The work done is independent of path ( <math>\vec \nabla \times \vec F = 0</math> in 1-D and 3-D) | | 2.) The work done is independent of path ( <math>\vec \nabla \times \vec F = 0</math> in 1-D and 3-D) |
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− | ==Equation of motion==
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− | In solving the differential equation
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− | :<math> m\ddot x =-kx </math>energy is constant with time
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− | and observe that the above differential equation is a special case of the more general differential equation
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− | :<math> m\ddot x + c \dot x =-kx </math>energy is constant with time
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− | one could rewrite the above as
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− | :<math> \left ( \frac{d}{dt}\frac{d}{dt} +\frac{d}{dt} + k \right ) x = 0 </math>
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− | One could cast the above differential equation into an analogous quadratic equation if you
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− | let
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− | :<math>O = \frac{d}{dt}</math>
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− | then the analogous equation becomes
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− | :<math> \left ( mO^2 + aO + k \right ) x = 0 </math>
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− | where m, a, and k are constants
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− | factoring this quadratic you would have
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− | :<math> \left ( O - \gamma \right )\left ( O - \beta \right ) x = 0 </math>
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− | where a non-trivial solution would exist if one of the terms in the parentheses were zero
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− | this basically reduces our 2nd order differential equation down to two first order differential equations
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− | :<math> \left ( \frac{d}{dt} - \gamma \right ) \left ( \frac{d}{dt} + \beta \right ) x = 0 </math>
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− | one of the solutions would be
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− | :<math> \frac{d}{dt} x - \gamma x= 0 </math>
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− | :<math> \frac{dx}{x} = \gamma dt </math>
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− | :<math> x = Ae^{\gamma t} </math>
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− | :<math> x = Ae^{\gamma t} + Be^{\beta t} </math>
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− | For the special case where there isn't a first derivative term (a=0)
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− | You simply have
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− | :<math> \left ( m\frac{d}{dt}\frac{d}{dt} + k \right ) x = 0 </math>
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− | or
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− | :<math> \left ( mO^2 + k \right ) x = 0 </math>
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− | :<math> O= \pm \sqrt{-\frac{k}{m}} = \pm i \sqrt{-\frac{k}{m}}</math>
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− | :<math> \gamma \equiv +i\sqrt{\frac{k}{m}} = i \omega</math>
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− | :<math> \beta = -i\sqrt{\frac{k}{m}} = -i \omega</math>
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− |
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− | then you have
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− | :<math> x = Ae^{\gamma t} + Be^{\beta t} </math>
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− | ::<math> = Ae^{i \omega t} + Be^{-i\omega t} </math>
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− | ==Oscillator properties==
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− | :<math> x = Ae^{i \omega t} + Be^{-i\omega t} </math>
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− | Using Euler's formula for complex variables
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− | :<math>e^{\pm ix} = \cos(x) \pm i \sin(x)</math>
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− | :<math>\Rightarrow x = A\left ( \cos(\omega t) + i \sin(\omega t)\right ) + B\left ( \cos(\omega t) - i \sin(\omega t)\right )</math>
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− | ::: <math>= (A + B) \cos (\omega t) + i(A-B) \sin(\omega t)</math>
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− | ::: <math>= (A + B) \cos (\omega t) + i(A-B) \sin(\omega t)</math>
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− | ::: <math>= A^{\prime}\cos (\omega t) + B^{\prime} \sin(\omega t)</math>
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− | let
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− | :<math>C = \sqrt{\left(A^{\prime}\right)^2+ \left ( B^{\prime}\right)^2}</math>
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− | :<math>\cos\delta = \frac{A^{\prime}}{C}</math>
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− | :<math>\sin\delta = \frac{B^{\prime}}{C}</math>
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− | then
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− | :<math>x = A^{\prime}\cos (\omega t) + B^{\prime} \sin(\omega t)</math>
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− | ::<math> = C \left [ \frac{A^{\prime}}{C}\cos (\omega t) + \frac{B^{\prime}}{C} \sin(\omega t) \right ]</math>
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− | ::<math> = C \left [\cos\delta\cos (\omega t) + \sin\delta \sin(\omega t) \right ]</math>
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− | ::<math> = C \cos (\omega t - \delta) </math>
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− |
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− | :<math>\cos(A-B) = \cos(A)\cos(B)+\sin(B)\sin(A)</math>
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− | :<math>x=A \cos(\omega t - \delta)</math>
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− | :<math>v = \dot x = \omega A \sin(\omega t - \delta)</math>
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− |
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− | :<math>T_{\mbox{max}}= \frac{1}{2} m v^2_{\mbox{max}} =\frac{1}{2} m \omega^2 A^2 \sin^2(\omega t - \delta)_{\mbox{max}}= \frac{1}{2} m \omega^2 A^2=U_{\mbox{max}}</math>
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− | http://www.casaxps.com/help_manual/mathematics/Mechanics3_rev12.pdf
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− | ==Graph of the Energy==
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| [[Forest_UCM_Osc#Hooke.27s_Law]] | | [[Forest_UCM_Osc#Hooke.27s_Law]] |
Hooke's Law
Derivation
Equation of Motion from Cons of Energy
In the previous chapter Forest_UCM_Energy_Line1D, we saw how the equations of motion could from the requirement that Energy be conserved.
- [math]E = T + U[/math]
- [math] T = E - U[/math]
- [math] \frac{1}{2} m v^2 = E- U[/math]
in 1-D
- [math] \dot {x}^2 = \frac{2}{m} \left ( E-U(x) \right )[/math]
- [math] \dot {x}^2= \frac{2}{m} \left ( E-U(x) \right )[/math]
- [math] \dot {x}= \sqrt{\frac{2}{m} \left ( E-U(x) \right )}[/math]
- [math] \frac{dx}{dt}= \sqrt{\frac{2}{m} \left ( E-U(x) \right )}[/math]
- [math] \frac{dx}{ \sqrt{\frac{2}{m} \left ( E-U(x) \right )}}=dt[/math]
- [math] \sqrt{\frac{m}{2}} \int \frac{dx}{ \sqrt{\left ( E-U(x) \right )}}=\int dt[/math]
Let consider the case where an object is oscillating about a point of stability [math](x_0)[/math]
A Taylor expansion of the Potential function U(x) about the equilibrium point [math](x_0)[/math] is
- [math]U(x) = U(x_0) \; + \; \left . \frac{\partial U}{\partial x} \right |_{x=x_0} (x-x_0) \; + \; \frac{1}{2!}\left . \frac{\partial^2 U}{\partial x^2} \right |_{x=x_0} (x-x_0)^2 \; + \; \frac{1}{3!}\left . \frac{\partial^3 U}{\partial x^3} \right |_{x=x_0} (x-x_0)^3 \; + \dots [/math]
Further consider the case the the potential is symmetric about the equilibrium point [math](x_0)[/math]
at the equilibrium point
- [math]\left . \frac{\partial U}{\partial x} \right |_{x=x_0} = 0 [/math]: Force = 0 at equilibrium
in order to have stable equilibrium
- [math]\left . \frac{\partial^{2} U}{\partial x^{2}} \right |_{x=x_0} \gt 0 [/math]: stable equilibirium
also the odd (2n-1) terms must be zero in order to have stable equilibrium for a symmetric potential (the potential needs to be a max at the end points of the motion).
- [math]\left . \frac{\partial^{2n-1} U}{\partial x^{2n-1}} \right |_{x=x_0} = 0 [/math]:
and the leading term is just a constant which can be dropped by redefining the zero point of the potential
- [math]U(x_0) = 0[/math]
This leaves us with
- [math]U(x) = \frac{1}{2!}\left . \frac{\partial^2 U}{\partial x^2} \right |_{x=x_0} (x-x_0)^2 \; + \; \frac{1}{4!}\left . \frac{\partial^4 U}{\partial x^4} \right |_{x=x_0} (x-x_0)^4 \; + \dots [/math]
if we make the following definitions
- [math] \left . \frac{\partial^2 U}{\partial x^2} \right |_{x=x_0} \; = k [/math]
- [math]U(x) = \frac{1}{6} \left . \frac{\partial^4 U}{\partial x^4} \right |_{x=x_0} \; = \epsilon [/math]
and that the equilibrium point is located at the orgin
- [math]x_0 = 0[/math]
Then
- [math]U(x) = \frac{1}{2}kx^2 \; + \; \frac{1}{4}\epsilon x^4 \; + \dots [/math]
Since we began this derivation with the assumption that energy was conserved then the force must be conservative such that
[math]: \vec F = - \vec \nabla U[/math]
or this 1-D force can be written as
[math]F = - \frac{\partial }{\partial x} U (x) = - kx - \epsilon x^3 - \dots[/math]
Interpretation (Hooke's law)
Returning back to the conservation of energy equation
- [math] E = T + U = \frac{m}{2} \dot {x}^2 + \frac{1}{2}kx^2 \; + \; \frac{1}{4}\epsilon x^4 \; + \dots [/math]
Lets consider only the first term in the expansion of the potential U(x)
- [math] E = \frac{m}{2} \dot {x}^2 + \frac{1}{2}kx^2 [/math]
- [math] \frac{dE}{dt} = \frac{m}{2} 2 \dot {x} \ddot x + \frac{1}{2}k2 x \dot x = 0 [/math] energy is constant with time
- [math] m\ddot x =-kx [/math] energy is constant with time
A Force exerted by a spring is proportional to the spring displacement from equilibrium and is directed towards restoring the equilibrium condition. (a linear restoring force).
In 1-D this force may be written as
- [math]F = - kx[/math]
While the above was derived from the assumption of conservation of energy we can apply our two tests for conservative forces as a double check:
1.) The force only depends on position.
2.) The work done is independent of path ( [math]\vec \nabla \times \vec F = 0[/math] in 1-D and 3-D)
Forest_UCM_Osc#Hooke.27s_Law