- #1

leialee

- 10

- 0

**You have an infinitesimally small mass in the center of octahedron. Mass is connected with 6 different springs (k_1, k_2, ... k_6) to corners of octahedron.**

Equilibrium position is in the center, you don't take into account gravity, only springs.

Find normal modes and frequencies.

Equilibrium position is in the center, you don't take into account gravity, only springs.

Find normal modes and frequencies.

**Relevant equations**

##m\ddot R=\sum_{n=1}^{6} \vec F_i##

##R=(x,y,z) ##is a vector of location of the mass and ##A## is matrix.

My idea is to transform differential equations that I will get for each coordinate into this form:

##\ddot R+AR=0 ##

https://www.physicsforums.com/attachments/105010

## The Attempt at a Solution

When you move the mass away from equilibrium position, every spring works on it with its own force, problem is 3D so I used vectors.

##\vec F_i=\frac{\vec r_i}{|\vec r_i|}u_i k_i##, where I used Hook's law: ##F=-kx##, and in using this law I keep in mind that ##x,y,z## are small.

##u_i=b-|\vec r_i|##, where ##\vec r_i = \vec R - \vec R_i##.

##R_i## is a vector from center to corner for each spring (picture)

https://www.physicsforums.com/attachments/105009

For every sping i defined its vector ##R_i##

##\vec R_1=b(1,0,0)\\

\vec R_2=b(0,1,0)\\

\vec R_3=b(-1,0,0)\\

\vec R_4=b(0,-1,0)\\

\vec R_5=b(0,0,1)\\

\vec R_6=b(0,0,-1)##

Where ##b## is a length of un-expanded spring, ##b=a\frac {\sqrt{2} } {2}## and ##a## is a length of a side of octahedron. I marked ##r^2=x^2+y^2+z^2##.

So i get:

##\vec r_1= (x,y,z)-(b,0,0)=(x-b,y,z)\\

\vec r_2=(x,y-b,z)\\

\vec r_3=(x+b,y,z)\\

\vec r_4=(x,y+b,z)\\

\vec r_5=(x,y,z-b)\\

\vec r_6=(x,y,z+b)##

and for the lenghts of thse vectors:

##

|\vec r_1|= \sqrt{(x-b)^2 + y^2 + z^2}=\sqrt{r^2+b^2-2xb}\\

|\vec r_2|=\sqrt{x^2 + (y-b)^2 + z^2}=\sqrt{r^2+b^2-2yb}\\

|\vec r_3|=\sqrt{(x+b)^2 + y^2 + z^2}=\sqrt{r^2+b^2+2xb}\\

|\vec r_4|=\sqrt{x^2 + (y+b)^2 + z^2}=\sqrt{r^2+b^2+2yb}\\

|\vec r_5|=\sqrt{x^2 + y^2 + (z-b)^2}=\sqrt{r^2+b^2-2zb}\\

|\vec r_6|=\sqrt{x^2 + y^2 + (z+b)^2}=\sqrt{r^2+b^2+2zb}##

My equation is then:

##m\ddot R=\sum_{n=1}^{6} \vec F_i=\sum_{n=1}^{6} k_i u_i \frac{\vec r_i}{|\vec r_i|}##, and i mark ##u_i \frac{\vec r_i}{|\vec r_i|}=\vec r_i (\frac{b}{|\vec r_i|}-1)##

I started solving for each coordinate, and equation for x is:

$$m\ddot x=k_1(\frac {b}{\sqrt{r^2+b^2-2xb}}-1)(x-b)+k_2(\frac {b}{\sqrt{r^2+b^2-2yb}}-1)x+k_3(\frac {b}{\sqrt{r^2+b^2+2xb}}-1)x+k_4(\frac {b}{\sqrt{r^2+b^2+2yb}}-1)x+k_5(\frac {b}{\sqrt{r^2+b^2-2zb}}-1)x+k_6(\frac {b}{\sqrt{r^2+b^2+2zb}}-1)x=\\

-x(\sum_{n=1}^{6} k_i)+ k_1 b - k_3 b+ b^2(\frac {k_3}{\sqrt{r^2+b^2+2xb}}-\frac {k_1}{\sqrt{r^2+b^2-2xb}})+

\\bx(\frac {k_1}{\sqrt{r^2+b^2-2xb}}+\frac {k_2}{\sqrt{r^2+b^2+2xb}}+\frac {k_3}{\sqrt{r^2+b^2-2yb}}+\frac {k_4}{\sqrt{r^2+b^2+2yb}}+\frac {k_5}{\sqrt{r^2+b^2-2zb}}+\frac {k_6}{\sqrt{r^2+b^2+2zb}})$$ (1)

And then similar equation for ##y## and ##z##.

And here is where i have a problem. As far as i know i should get linear equatios so i can put together matrix A but no matter how i try to approximate, i get mixed parts of equations.

I went like this: because ##x,y,z##are small i neglected all ##r^2## and then developed roots with Taylor approximation to linear order.

##\frac{1}{\sqrt{1\pm x}}=1\mp \frac{1}{2}x##

Which i thought would go nicely and everything odd will fall out, even constant ##k_1 b - k_3 b## went away.

But I get such equations:

##m\ddot x= -x(k_3+k_1)+\frac{x}{b}(k_1 x + k_2 y-k_3 x -k_4 y +k_5 z -k_6 z)## and similar for y, z.

This all translates into a matrix which isn't constant but has ##x,y,z## dependencies.

So my question would be, how to develop equation 1 differently so i only get linear dependencies, meaning:

##\ddot x= a_1x+a_2y+a_3z\\

\ddot y=b_1x+b_2y+b_3z\\

\ddot z=c_1x+c_2y+c_3z## so I can then get this system: ##\ddot R+AR=0 ##

...or is my whole approach wrong? In that case...any suggestions, advice?

We are also allowed to use numerical approaches, but given I'm looking for normal modes i think matrix is a way to go.

Anything would be helpful at this point, because I'm on the verge of just neglecting mixed parts and getting diagonal matrix from the equations alone.