Class Notes 1-5-2010: Difference between revisions

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:<math> \vec{v} = \sum_{i} v_\mathrm{i} \mathbf{\hat{a}}_\mathrm{i} </math>
:<math> \vec{v} = \sum_{i} v_\mathrm{i} \mathbf{\hat{a}}_\mathrm{i} </math>
:<math> \langle v_x, v_y\rangle</math>
:<math> \langle v_x, v_y\rangle</math>
:<math> \mathbf{\hat{u}} \cdot \mathbf{\hat{v}} = |\mathbf{\hat{u}}| |\mathbf{\hat{v}}| \cos\theta </math>
:<math> \vec{u} \cdot \vec{v} = |\vec{u}| |\vec{v}| \cos\theta </math>
:<math> \vec{v} \cdot \mathbf{\hat{i}} = v_\mathrm{x} (\mathbf{\hat{i}} \cdot \mathbf{\hat{i}}) + v_\mathrm{y} \mathbf{\hat{j}} \cdot \mathbf{\hat{i}} </math>
:<math> \vec{v} \cdot \mathbf{\hat{i}} = v_\mathrm{x} (\mathbf{\hat{i}} \cdot \mathbf{\hat{i}}) + v_\mathrm{y} \mathbf{\hat{j}} \cdot \mathbf{\hat{i}} </math>
:<math> \vec{v} \cdot \mathbf{\hat{i}} = v_\mathrm{x} </math>
:<math> \vec{v} \cdot \mathbf{\hat{i}} = v_\mathrm{x} </math>

Revision as of 16:23, 17 January 2010

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Modeling functions as vectors. Using function approximations, the vector path is described.

This article covers the notes given in class on January 5, 2010.

Subjects Covered

1) Linear Systems

2) Functions as Vectors


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Functions graphed in vector form.



vx=vi^
v=vxi^+vyj^
v=ivia^i
vx,vy
uv=|u||v|cosθ
vi^=vx(i^i^)+vyj^i^
vi^=vx
va^m=ivia^ia^m=vm
δi,m{1if i=m,0else

Example

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Function waves with varying periods based on the function x(t) = x(t+T)

Given function: x(t)=x(t+T)

x(t)=n=1[bnsin((2πnT)t)]

1) Use vector analogy

x(t)sin(2πmtT)=n=1[bnsin((2πnT)t)sin(2πmtT)]
T2T2x(t)sin(2πmtT)dt=vm

External Links

Authors

Colby Fullerton

Brian Roath