The assumptions of the theorem are:

• ${\displaystyle I}$  is a functional from a Hilbert space H to the reals,
• ${\displaystyle I\in C^{1}(H,\mathbb {R} )}$  and ${\displaystyle I'}$  is Lipschitz continuous on bounded subsets of H,
• ${\displaystyle I}$  satisfies the Palais–Smale compactness condition,
• ${\displaystyle I[0]=0}$ ,
• there exist positive constants r and a such that ${\displaystyle I[u]\geq a}$  if ${\displaystyle \Vert u\Vert =r}$ , and
• there exists ${\displaystyle v\in H}$  with ${\displaystyle \Vert v\Vert >r}$  such that ${\displaystyle I[v]\leq 0}$ .

If we define:

${\displaystyle \Gamma =\{\mathbf {g} \in C([0,1];H)\,\vert \,\mathbf {g} (0)=0,\mathbf {g} (1)=v\}}$ 

and:

${\displaystyle c=\inf _{\mathbf {g} \in \Gamma }\max _{0\leq t\leq 1}I[\mathbf {g} (t)],}$ 

then the conclusion of the theorem is that c is a critical value of I.

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

Let ${\displaystyle X}$  be Banach space. The assumptions of the theorem are:

• ${\displaystyle \Phi \in C(X,\mathbf {R} )}$  and have a Gateaux derivative ${\displaystyle \Phi '\colon X\to X^{*}}$  which is continuous when ${\displaystyle X}$  and ${\displaystyle X^{*}}$  are endowed with strong topology and weak* topology respectively.
• There exists ${\displaystyle r>0}$  such that one can find certain ${\displaystyle \|x'\|>r}$  with

${\displaystyle \max \,(\Phi (0),\Phi (x'))<\inf \limits _{\|x\|=r}\Phi (x)=:m(r)}$ .

• ${\displaystyle \Phi }$  satisfies weak Palais–Smale condition on ${\displaystyle \{x\in X\mid m(r)\leq \Phi (x)\}}$ .

In this case there is a critical point ${\displaystyle {\overline {x}}\in X}$  of ${\displaystyle \Phi }$  satisfying ${\displaystyle m(r)\leq \Phi ({\overline {x}})}$ . Moreover, if we define

${\displaystyle \Gamma =\{c\in C([0,1],X)\mid c\,(0)=0,\,c\,(1)=x'\}}$ 

then

${\displaystyle \Phi ({\overline {x}})=\inf _{c\,\in \,\Gamma }\max _{0\leq t\leq 1}\Phi (c\,(t)).}$ 

For a proof, see section 5.5 of Aubin and Ekeland.

• Aubin, Jean-Pierre; Ekeland, Ivar (2006). Applied Nonlinear Analysis. Dover Books. ISBN 0-486-45324-3.
• Bisgard, James (2015). "Mountain Passes and Saddle Points". SIAM Review. 57 (2): 275–292. doi:10.1137/140963510.
• Evans, Lawrence C. (1998). Partial Differential Equations. Providence, Rhode Island: American Mathematical Society. ISBN 0-8218-0772-2.
• Jabri, Youssef (2003). The Mountain Pass Theorem, Variants, Generalizations and Some Applications. Encyclopedia of Mathematics and its Applications. Cambridge University Press. ISBN 0-521-82721-3.
• Mawhin, Jean; Willem, Michel (1989). "The Mountain Pass Theorem and Periodic Solutions of Superlinear Convex Autonomous Hamiltonian Systems". Critical Point Theory and Hamiltonian Systems. New York: Springer-Verlag. pp. 92–97. ISBN 0-387-96908-X.
• McOwen, Robert C. (1996). "Mountain Passes and Saddle Points". Partial Differential Equations: Methods and Applications. Upper Saddle River, NJ: Prentice Hall. pp. 206–208. ISBN 0-13-121880-8.