Extreme Values
1. **State the problem:** Find all critical points (minima and maxima) of the function $$f(n,y) = n^4 + y^4 - 4ny + 1$$ by solving where the partial derivatives are zero.
2. **Find partial derivatives:**
$$\frac{\partial f}{\partial n} = 4n^3 - 4y$$
$$\frac{\partial f}{\partial y} = 4y^3 - 4n$$
3. **Set the partial derivatives equal to zero to find critical points:**
$$4n^3 - 4y = 0 \implies y = n^3$$
$$4y^3 - 4n = 0 \implies y^3 = n$$
4. **Substitute $y = n^3$ into $y^3 = n$:**
$$ (n^3)^3 = n \implies n^9 = n$$
5. **Solve for $n$:**
$$n^9 - n = 0$$
$$n(n^8 - 1) = 0$$
Hence, $$n = 0$$ or $$n^8 = 1 \implies n = \pm 1$$
6. **Find corresponding $y$ values:**
- For $$n=0$$: $$y = 0^3 = 0$$
- For $$n=1$$: $$y = 1^3 = 1$$
- For $$n=-1$$: $$y = (-1)^3 = -1$$
7. **Critical points are:** $$(0,0), (1,1), (-1,-1)$$
8. **Classify critical points using the second derivative test:**
Calculate second derivatives:
$$f_{nn} = 12n^2$$
$$f_{yy} = 12y^2$$
$$f_{ny} = f_{yn} = -4$$
Evaluate discriminant $$D = f_{nn}f_{yy} - (f_{ny})^2$$ at each critical point:
- At $$(0,0)$$:
$$f_{nn} = 0, f_{yy} = 0, f_{ny} = -4$$
$$D = 0 \cdot 0 - (-4)^2 = -16 < 0$$
Thus, $$(0,0)$$ is a saddle point.
- At $$(1,1)$$:
$$f_{nn} = 12(1)^2 = 12, f_{yy} = 12(1)^2 = 12, f_{ny} = -4$$
$$D = 12 \cdot 12 - 16 = 144 - 16 = 128 > 0$$
Since $$f_{nn} = 12 > 0$$, $$(1,1)$$ is a local minimum.
- At $$(-1,-1)$$:
$$f_{nn} = 12(-1)^2 = 12, f_{yy} = 12(-1)^2 = 12, f_{ny} = -4$$
$$D = 12 \cdot 12 - 16 = 128 > 0$$
Since $$f_{nn} = 12 > 0$$, $$(-1,-1)$$ is also a local minimum.
**Final answer:**
- Saddle point at $$(0,0)$$
- Local minima at $$(1,1)$$ and $$(-1,-1)$$