Mountain pass theorem
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The mountain pass theorem is an existence theorem from the calculus of variations. Given certain conditions on a function, the theorem demonstrates the existence of a saddle point. The theorem is unusual in that there are many other theorems regarding the existence of extremums, but few regarding saddle points.
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[edit] Theorem statement
The assumptions of the theorem are:
- I is a functional from a Hilbert space H to the reals,
and I' is Lipschitz continuous on bounded subsets of H,- I satisfies the Palais-Smale compactness condition,
- I[0] = 0,
- there exist positive constants r and a such that
if
, and - there exists
with
such that
.
If we define:
and:
,
then the conclusion of the theorem is that c is a critical value of I.
[edit] Visualization
The intuition behind the theorem is in the name "mountain pass." Consider I as describing elevation. Then we know two low spots in the landscape: the origin because I[0] = 0, and a far-off spot v where
. In between the two lies a range of mountains (at
) where the elevation is high (higher than a>0). In order to travel along a path g from the origin to v, we must pass over the mountains — that is, we must go up and then down. Since I is somewhat smooth, there must be a critical point somewhere in between. (Think along the lines of the mean-value theorem.) The mountain pass lies along the path that passes at the lowest elevation through the mountains. Note that this mountain pass is almost always a saddle point.
For a proof, see section 8.5 of Evans.
[edit] Weaker formulation
Let X be Banach space. The assumptions of the theorem are:
and have a Gateaux derivative
which is continuous when X and X * are endowed with strong topology and weak* topology respectively.- There exists r > 0 such that one can find certain
with
.
- Φ satisfies weak Palais-Smale condition on
.
In this case there is a critical point
of Φ satisfying
. Moreover if we define
then
.
For a proof, see section 5.5 of Aubin and Ekeland.
[edit] References
- Evans, Lawrence C. (1998). Partial Differential Equations. Providence, Rhode Island: American Mathematical Society. ISBN 0-8218-0772-2.
- Aubin, Jean-Pierre; Ivar Ekeland (2006). Applied Nonlinear Analysis. Dover Books. ISBN 0-486-45324-3.
![\Gamma=\{\mathbf{g}\in C([0,1];H)\,\vert\,\mathbf{g}(0)=0,\mathbf{g}(1)=v\}](../../../../math/0/1/4/0149f3503a0dd54529759448e9e783bb.png)
![\Gamma=\{c\in C([0,1],X)\mid c\,(0)=0,\,c\,(1)=x'\}](../../../../math/9/e/8/9e8649fa98908d593a7742e0cdefc67d.png)

