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Use the method of Lagrange Multipliers to End the maximum and minimum values of the function subject to the given constraints: f(x, y, z) = yz + xy xy = 1 y^2 + z^2 = 1

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Looks like you're looking for the extrema of
f(x,y,z)=yz+xy subject to
xy=1 and
y^2+z^2=1. The Lagrangian is


L(x,y,z,\lambda,\mu)=yz+xy+\lambda(xy-1)+\mu(y^2+z^2-1)

Look for any critical points:


L_x=y+\lambda y=y(1+\lambda)=0\implies y=0\text{ or }\lambda=-1


L_y=z+x+\lambda x+2\mu y=0


L_z=y+2\mu z=0


L_\lambda=xy-1=0\implies xy=1


L_\mu=y^2+z^2-1=0\implies y^2+z^2=1

  • If
    y=0, then


L_z=0\implies2\mu z=0\implies z=0 (we don't want
\lambda=\mu=0)

but then
y^2+z^2=0\\eq1 so we omit this case.

  • If
    \lambda=-1, then


L_y=0\implies z+2\mu y=0


L_\mu=0\implies(1+4\mu^2)y^2-1=0\implies y=\pm\frac1{√(1+4\mu^2)}


L_z=0\implies z=\mp\frac1{2\mu√(1+4\mu^2)}


L_\mu=0\implies\frac1{1+4\mu^2}+\frac1{4\mu^2(1+4\mu^2)}=1\implies\mu=\pm\frac12


L_\lambda=0\implies x=\pm√(1+4\mu^2)

Now,

  • if
    \mu=\frac12, we have two critical points at
    \left(\sqrt2,\frac1{\sqrt2},-\frac1{\sqrt2}\right) and
    \left(-\sqrt2,-\frac1{\sqrt2},\frac1{\sqrt2}\right);
  • if
    \mu=-\frac12, we have two additional critical points
    \left(\sqrt2,\frac1{\sqrt2},\frac1{\sqrt2}\right) and
    \left(-\sqrt2,-\frac1{\sqrt2},-\frac1{\sqrt2}\right)

The first two critical points give a minimum value of
f(x,y,z)=\frac12, and the other two give a maximum value of
f(x,y,z)=\frac32.

User Ehutchllew
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