A scalar Tonelli existence theorem states: if is continuous, convex in , and has a uniform superlinear lower bound with , and at least one fixed-endpoint admissible absolutely continuous function has finite energy, then the energy attains its infimum in the fixed-endpoint class. One may take nonnegative and convex. The lower bound makes derivatives uniformly integrable; endpoint control then gives uniform compactness of a minimizing sequence, and convexity supplies the required lower semicontinuity.
For the specified functional, the integrand is continuous, nonnegative, and convex in the derivative, with
The affine function has the required endpoints and finite energy. Thus a global minimizer exists. In fact any finite-energy minimizer belongs to , since its derivative's 52nd power is integrable.
It is unique. The admissible class is convex, and the integrand is strictly convex in : and are strictly convex, with the latter multiplied by . If two distinct admissible finite-energy functions minimized the energy, their midpoint would have strictly smaller energy. Distinct continuous representatives differ on a set of positive measure, so the strict integral inequality really applies. This contradiction proves uniqueness.
In one dimension, has an absolutely continuous bounded representative. For any smooth zero-endpoint test function , the functions are admissible and arbitrarily close to for small . Local minimality forces the first variation to vanish. Differentiation under the integral is valid because are bounded and the derivative terms are integrable, giving the weak Euler-Lagrange equation
In distributional form this says . The fundamental theorem for weak derivatives, or the fundamental lemma applied after subtracting an antiderivative, gives a constant with
This is the integrated Euler-Lagrange equation. The boundary difference determines
The weak identity extends to all zero-trace test functions by density.
The continuous representative of makes continuous on the closed interval. The integrated formula therefore gives a continuously differentiable representative of , and hence with
Differentiate once more. The right side is continuously differentiable because , and
Thus . These formulas give continuous one-sided derivatives at the endpoints as well. Repeated bootstrapping would actually give smoothness of every order.

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