Mountain Pass Theorem
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The mountain pass theorem is an
existence theorem In mathematics, an existence theorem is a theorem which asserts the existence of a certain object. It might be a statement which begins with the phrase " there exist(s)", or it might be a universal statement whose last quantifier is existential ...
from the
calculus of variations The calculus of variations (or Variational Calculus) is a field of mathematical analysis that uses variations, which are small changes in functions and functionals, to find maxima and minima of functionals: mappings from a set of functions t ...
, originally due to Antonio Ambrosetti and Paul Rabinowitz. 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 extrema, but few regarding saddle points.


Statement

The assumptions of the theorem are: * I is a
functional Functional may refer to: * Movements in architecture: ** Functionalism (architecture) ** Form follows function * Functional group, combination of atoms within molecules * Medical conditions without currently visible organic basis: ** Functional s ...
from a
Hilbert space In mathematics, Hilbert spaces (named after David Hilbert) allow generalizing the methods of linear algebra and calculus from (finite-dimensional) Euclidean vector spaces to spaces that may be infinite-dimensional. Hilbert spaces arise natu ...
''H'' to the reals, * I\in C^1(H,\mathbb) and I' is
Lipschitz continuous In mathematical analysis, Lipschitz continuity, named after German mathematician Rudolf Lipschitz, is a strong form of uniform continuity for functions. Intuitively, a Lipschitz continuous function is limited in how fast it can change: there ...
on bounded subsets of ''H'', * I satisfies the Palais–Smale compactness condition, * I 0, * there exist positive constants ''r'' and ''a'' such that I geq a if \Vert u\Vert =r, and * there exists v\in H with \Vert v\Vert >r such that I leq 0. If we define: :\Gamma=\ and: :c=\inf_\max_ I mathbf(t) then the conclusion of the theorem is that ''c'' is a critical value of ''I''.


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, and a far-off spot ''v'' where I leq 0. In between the two lies a range of mountains (at \Vert u\Vert =r) 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.


Weaker formulation

Let X be
Banach space In mathematics, more specifically in functional analysis, a Banach space (pronounced ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between ve ...
. The assumptions of the theorem are: * \Phi\in C(X,\mathbf R) and have a
Gateaux derivative In mathematics, the Gateaux differential or Gateaux derivative is a generalization of the concept of directional derivative in differential calculus. Named after René Gateaux, a French mathematician who died young in World War I, it is defined ...
\Phi'\colon X\to X^* which is continuous when X and X^* are endowed with
strong topology In mathematics, a strong topology is a topology which is stronger than some other "default" topology. This term is used to describe different topologies depending on context, and it may refer to: * the final topology on the disjoint union * the ...
and weak* topology respectively. * There exists r>0 such that one can find certain \, x'\, >r with :\max\,(\Phi(0),\Phi(x'))<\inf\limits_\Phi(x)=:m(r). * \Phi satisfies weak Palais–Smale condition on \. In this case there is a critical point \overline x\in X of \Phi satisfying m(r)\le\Phi(\overline x). Moreover, if we define :\Gamma=\ then :\Phi(\overline x)=\inf_\max_\Phi(c\,(t)). For a proof, see section 5.5 of Aubin and Ekeland.


References


Further reading

* * * * * * {{cite book , first=Robert C. , last=McOwen , title=Partial Differential Equations: Methods and Applications , location=Upper Saddle River, NJ , publisher=Prentice Hall , year=1996 , isbn=0-13-121880-8 , pages=206–208 , chapter=Mountain Passes and Saddle Points , chapter-url=https://www.google.com/books/edition/_/TuNHsNC1Yf0C?hl=en&gbpv=1&pg=PA206 Mathematical analysis Calculus of variations Theorems in analysis