Put , so . Since and , its stationary points satisfy
The origin occurs for every real . There are two additional points only for , at .
At a stationary point, the Hessian matrix simplifies because :
At the origin this is , so is a strict local minimum for every , with . If it is also the unique global minimum, since with equality only there. For , the two extra points have , so their Hessian has opposite-sign eigenvalues. Thus
There are no local maxima. When , the origin is not a global minimum: as , but never attains zero.
Because the exponential function is strictly increasing, the level sets are exactly those of . For they satisfy
There are no contours for , the level is the origin, and gives nested closed ovals symmetric about both axes. Their stronger fourth-power growth in makes them relatively narrower horizontally as the level rises.
For , the contour equation becomes
The central local minimum is surrounded by closed ovals for , accompanied by outer open branches. At , the level passes through the two saddle points and changes its connectivity. Levels have only outer branches, while levels above the saddle value have an upper and a lower branch. The sketch is restricted to the requested square; labels give , so they identify the corresponding contours of without exponentially large labels.
Figure 1.
Contours for the two parameter signs; labels are log f and dots mark stationary points
. Details.
For , the local minimum at the origin has . Its full level set is
The connected component containing the minimum is just the isolated origin. The same level also has the outer branches for ; these are different connected components, not curves approaching the origin.
Both saddle points have . Their common level set factors as
Its explicit equations are therefore
The two parabolas cross at each saddle, explaining the change of contour connectivity there. Each displayed equation can be restricted to the square of part (ii) if only that sketch window is wanted.

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