Recent content by aznkid310

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    Minimal Polynomial and Jordan Form

    Each of the three eigenvalues (zero) in the min. poly could have jordan blocks of size 1,2, or 3. So: [0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]...
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    Minimal Polynomial and Jordan Form

    Right, so for example: [0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
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    Minimal Polynomial and Jordan Form

    Thanks HallsofIvy. So using this info, we can have possible jordan blocks of size 1,2, or 3. So the possible matrices are: [0 1 0 0 0 1 0 0 0] [0 0 0 0 0 0 0 0 0] [0 1 0 0 0 0 0 0 0] Where I can fill out the rest of the 6x6 with zeros if I wanted the original matrix. My question is, why...
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    Minimal Polynomial and Jordan Form

    If the min poly is p(s) = s^3, doesn't that mean that only three of the six are zero? How would I find the other 3 eigenvalues? I must not be understanding this correctly. I understand that the matrix needs to be 6x6, but I only know 3 of the eigenvalues? I guess if I understand the first...
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    Minimal Polynomial and Jordan Form

    Homework Statement Suppose that A is a 6x6 matrix with real values and has a min. poly of p(s) = s^3. a) Find the Characteristic polynomial of A b) What are the possibilities for the Jordan form of A? c) What are the possibilities of the rank of A? Homework Equations See below...
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    Linear Algebra: Prove rank(A) <= rank(exp(A))

    Homework Statement Let a be all real numbers, nxn. Prove that a) rank(A) less than or equal to rank(exp(A)) b) rank(exp(A)-I) less than or equal to Rank(A) Homework Equations I'm new to math proofs and so don't really know where to start. Could someone point me in the right direction? Would...
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    How Do You Determine Matrix A from Phi(t) in Linear Control Theory?

    Yes that's what I thought. Reading a little furthur, it seems that I should find the eigenvectors of phi(t), then do: ln(phi(t)) = V*ln(inv(V)*phi(t)*V)*inv(V), where V is the matrix of eigenvectors. But phi(t) is not diagonalizable, so I don't know how to proceed from here.
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    How Do You Determine Matrix A from Phi(t) in Linear Control Theory?

    Thanks for the reply Mark44. How do we deal with the ln(0) terms?
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    How Do You Determine Matrix A from Phi(t) in Linear Control Theory?

    Homework Statement So the first part of the problem asks us to solve for the state transition matrix, which I found to be: Phi(t) = [2 0 0; (2-e^-t) e^-t 0; 0 0 e^-2t]; I need to find the matrix A, which I assume can be done with the following relation: Phit(t) = e^(At) where A is also a...
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    Contro Systems - Using Partial Fraction Expansion on Transfer Function

    Homework Statement A system has damping ratio 0.5, natural freq. 100 rad/s, DC gain of 1. Find the response of the system to a unit step input. Homework Equations Im having trouble doing the partial fraction expansion. The Attempt at a Solution I have attached a word document...
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    Numerical Analysis: Composite Trapezoidal Sum Rule

    well, expanding the series out, it appears that it is indeed positive throughout the interval and uniformly increasing, so x_max =1. Then f''(x)_max = f''(1) = ((1^2-2+2)*exp(1)-1)/(1^3) = 1.718281828 ? Thus, h = 0.0083568657 1/h = 119.66 ~120 So the # of intervals N = 120? (ie 0 to...
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    Numerical Analysis: Composite Trapezoidal Sum Rule

    Trying the Taylor Series: f = (exp(x)-1)/x = sum (n=0 to infinity) (x^n)/(n+1)! f'' =[n(n-1)x^(n-2)]/(n+1)! How do I evaluate this to find the max value?
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    Numerical Analysis: Composite Trapezoidal Sum Rule

    Homework Statement Use the composite trapezoidal sum rule to evaluate I = integral from 0 to 1 of: (exp(x)-1)/x At x = 0 the integrand evaluates to 1. Select the step size h in order to guarantee an approximation error less than 10e-5. Carry out your calculation with at least 10 decimal...
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    Iteration: Newton-Raphson Method

    it took 5 iterations, which should be correct since it is less than the 'power' method
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