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Line 139: |
Line 139: |
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And our final answer is |
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And our final answer is |
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:<math>x=c_1\begin{bmatrix} |
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:<math>x=c_1k_1e^{\lambda_1 t}+c_2k_2e^{\lambda_2 t}+c_3k_3e^{\lambda_3 t}+c_4k_4e^{\lambda_4 t}</math> |
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0.2149 \\ |
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-0.5722 \\ |
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-0.2783 \\ |
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0.7409 |
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\end{bmatrix}e^{2.6626t}+c_2\begin{bmatrix} |
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-0.2149 \\ |
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-0.5722 \\ |
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0.2783 \\ |
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0.7409 |
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\end{bmatrix}e^{-2.6626t}+c_3\begin{bmatrix} |
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-0.3500 \\ |
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0.4157 \\ |
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-0.5407 \\ |
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0.6421 |
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\end{bmatrix}e^{1.18766t}+c_4\begin{bmatrix} |
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0.3500 \\ |
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0.4157 \\ |
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0.5407 \\ |
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0.6421 |
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\end{bmatrix}e^{-1.18766t}</math> |
Revision as of 19:44, 9 December 2009
Problem
In this problem we will explore the solution of a double spring/mass system under the assumption that the blocks are resting on a smooth surface. Here's a picture of what we are working with.
Equations of Equilibrium
Using F=ma we can then find our four equations of equilibrium.
- Equation 1
- Equation 2
- Equation 3
- Equation 4
Now we can put these four equations into the state space form.
Eigen Values
Once you have your equations of equilibrium in matrix form you can plug them into a calculator or a computer program that will give you the eigen values automatically. This saves you a lot of hand work. Here's what you should come up with for this particular problem given these initial conditions.
- Given
We now have
From this we get
Eigen Vectors
Using the equation above and the same given conditions we can plug everything to a calculator or computer program like MATLAB and get the eigen vectors which we will denote as .
Solving
We can now plug these eigen vectors and eigen values into the standard equation
And our final answer is