How do you take this derivative?

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Homework Help Overview

The discussion revolves around the differentiation of a vector-valued function defined as x(t) = (Cv + D(tv + w))e^(λt), where C, D, λ are constants, and x(t), v, w are vectors. The original poster is seeking assistance in taking the derivative and connecting it to a larger problem involving a matrix equation x'(t) = Ax(t).

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the application of the product rule for differentiation, questioning how it applies to vector functions. There is an exploration of differentiating the components of the vector function and whether the same rules apply despite the presence of vectors.

Discussion Status

Some participants have offered guidance on using the product rule and suggested writing the function component-wise to clarify the differentiation process. There is an ongoing exploration of the implications of treating constants as matrices instead of scalars.

Contextual Notes

The original poster mentions that this problem is part of a larger question, indicating that there may be additional constraints or requirements related to the matrix A and its relationship to the function x(t).

msell2
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x(t) = (Cv + D(tv + w))e^(λt)
x'(t) = ?
C, D, λ are constants
x(t), v, w are vectors (v is an eigenvector, w is a generalized eigenvector)
t is the variable

This is coming from a larger question, asking to prove that the above equation satisfies x'(t)=Ax(t), where A is a 2x2 matrix and x'(t) and x(t) are vectors. If you know how to answer this too, that'd be great. I've been trying to figure this out for some time now. Any help would be appreciated.
 
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x is the product of two functions, f(t)= (Cv + D(tv + w)) and g(t)= e^(λt). Do you know how to differentiate each of those? Do you know the product rule: (fg)'= f'g+ fg'?
 
So everything is the same even though there are vectors?
 
msell2 said:
So everything is the same even though there are vectors?

Sure: just write it out component-by-component:
x_1(t) = (Cv_1 + D(v_1 t + w_1))e^{\lambda t}\\<br /> x_2(t) = (Cv_2 + D(v_2 t + w_2))e^{\lambda t}\\<br /> \vdots \\<br /> x_n(t) = (Cv_n + D(v_n t + w_n))e^{\lambda t}

Just for practice (and to help clarify some of the issues), try to see what would happen if C and D are constant n×n matrices instead of scalar constants.

RGV
 
Last edited:

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