- #1
cwill53
- 220
- 40
- Homework Statement
- In this problem we examine how electricity flows through circuits to minimize energy.
A current I flowing over a resistor R results in an energy loss (in the form of heat/light)
equal to ##I^{2}R## per second. It turns out that, in a sense, ”electricity prefers to flow in
the way that minimizes energy loss to resistance”. For example, when an electric
current comes to a fork, it will divide itself up in such a way that a large portion
of the current flows where the resistance is low and a small portion flows where the
resistance is high (you might think all the electricity would flow where the resistance
is low but the energy loss is proportional to ##I^2## so it is better to spread the current
around).
Suppose we have the following situation where a current I comes to a pair of resistors
in parallel (see picture below)
a)Determine what choice of ##I_1## and ##I_2## will minimize energy loss and hence determine
what the currents will be along the two paths. (Alternatively, if you already are
familiar with resistors in parallel and current flows, verify that the currents ##I_1## and ##I_2##
do in fact minimize energy loss).
- Relevant Equations
- $$P_{diss}=I^{2}R$$
$$\nabla f(x,y)=\left \langle \frac{\partial f}{\partial x},\frac{\partial f}{\partial y} \right \rangle$$
Constraint: ##I=I_{1}+I_{2}##
##P_{diss,R_{1}}=I_{1}^{2}R_{1}##;##P_{diss,R_{2}}=I_{2}^{2}R_{2}##
We want to minimize ##P_{diss,TOT}=I_{1}^{2}R_{1}+I_{2}^{2}R_{2}##
$$f(I_{1},I_{2})=I_{1}^{2}R_{1}+I_{2}^{2}R_{2};g(I_{1},I_{2})=I_{1}+I_{2}=I(constraint)$$
$$\nabla f= \left \langle \frac{\partial f}{\partial I_{1}},\frac{\partial f}{\partial I_{2}} \right \rangle=\left \langle 2I_{1} R_{1},2I_{2}R_{2}\right \rangle$$
$$\nabla g= \left \langle \frac{\partial g}{\partial I_{1}},\frac{\partial g}{\partial I_{2}} \right \rangle=\left \langle 1,1 \right \rangle$$
##\nabla f=\lambda \nabla g;2I_{1}R_{1}=\lambda ;2I_{2}R_{2}=\lambda ;I_{1}+I_{2}=I(constraint)##
##I_{1}=I-I_{2};I_{2}=I-I_{1}##
$$I_{1}=\frac{2(I-I_{1})}{2R_{1}}=\frac{IR_{2}-I_{1}R_{2}}{R_{1}}\Rightarrow R_{1}=\frac{IR_{2}}{I_{1}}-\frac{I_{1}R_{2}}{I_{1}}\Rightarrow I_{1}=I\frac{R_{2}}{R_{1}}-R_{2}$$
Where did I go wrong? The solutions have it that
$$I_{1}=\frac{R_{2}}{R_{1}+R_{2}}I$$
##P_{diss,R_{1}}=I_{1}^{2}R_{1}##;##P_{diss,R_{2}}=I_{2}^{2}R_{2}##
We want to minimize ##P_{diss,TOT}=I_{1}^{2}R_{1}+I_{2}^{2}R_{2}##
$$f(I_{1},I_{2})=I_{1}^{2}R_{1}+I_{2}^{2}R_{2};g(I_{1},I_{2})=I_{1}+I_{2}=I(constraint)$$
$$\nabla f= \left \langle \frac{\partial f}{\partial I_{1}},\frac{\partial f}{\partial I_{2}} \right \rangle=\left \langle 2I_{1} R_{1},2I_{2}R_{2}\right \rangle$$
$$\nabla g= \left \langle \frac{\partial g}{\partial I_{1}},\frac{\partial g}{\partial I_{2}} \right \rangle=\left \langle 1,1 \right \rangle$$
##\nabla f=\lambda \nabla g;2I_{1}R_{1}=\lambda ;2I_{2}R_{2}=\lambda ;I_{1}+I_{2}=I(constraint)##
##I_{1}=I-I_{2};I_{2}=I-I_{1}##
$$I_{1}=\frac{2(I-I_{1})}{2R_{1}}=\frac{IR_{2}-I_{1}R_{2}}{R_{1}}\Rightarrow R_{1}=\frac{IR_{2}}{I_{1}}-\frac{I_{1}R_{2}}{I_{1}}\Rightarrow I_{1}=I\frac{R_{2}}{R_{1}}-R_{2}$$
Where did I go wrong? The solutions have it that
$$I_{1}=\frac{R_{2}}{R_{1}+R_{2}}I$$