The mathematics of finding a function that will maximize (or minimize) a definite integral.
A 'function' is a mapping from a space of numbers to another space of numbers. A mathematical object known as a 'functional' is a mapping of a space of functions
to a number. A definite integral is one such example of a functional. 
In mathematical physics there are problems which require that a path or surface represents the minimization of conserved physical quantities.
Four classic problems of variational calculus are the catenary, brachistochrone, geodesic, and the minimal surface problems.
Lagrangian formulation of the classical action
In general, all such problems are reduced to the minimization of the classical action is defined by the integral
in such a way that the optimal function is produced. Here .
The function is a scalar-valued function, but and may be in where is
greater than 1.
Application of Taylor's theorem
Regarding the application of Taylor's theorem, we may write as
Here such that . Terms in square brackets
is commonly called the first variation and the part in braces is
commonly called the second variation.
The process of solving a given problem is to minimize the first variation of the classical action which is given
The problem then is to find the curve which satisfies the condition that
and that all of the potential solution curves have the same values at the endpoints of integration and
. This means that the variations of the solution and
The Euler-Lagrange equations
The integral representation of the first variation of the action
may be simplified by performing integration by parts on the second term in the integrand, wherein the factor is integratied to yield
The endpoint evaluation vanishes because the endpoints of all of the solution curves are taken to be the same
for all possible solutions, hence Substituting the result back into
the integral for we have
implying that the integrand vanishes
Without loss of generality, we may consider and to be in -dimensions,
permitting us to write
Solving the Euler-Lagrange equations is equivalent to finding the gradient of the Lagrangian in all of its variables, and setting this equal to zero. The
solution curve is the projection of the minimum path in phase space onto the spatial coordinates (the configuration space), depending on the problem.
Properties of the Lagrangian
The Lagrangian formulation is linear. The Lagrangian of a system is the sum of the Lagrangians of the subsystems that make up that system.
In this case, the Lagrangian is not explicitly a function of the integration variable.
We may write the full time derivative of
Combining the two identities we have
The term in parentheses is Euler-Lagrange.
is equivalent to the Euler-Lagrange equations when does not depend on the integration variable.
We may immediately write
where is a constant.
Case II -
The Lagrangian does not depend on or on the integration variable .
With no explicit dependence of the Lagrangian on
Also, because does not depend on space
implying that the Lagrangian .
If we consider the problems of mechanics that different forms of the Lagrangian represent, we see important ramifications regarding
the nature of symmetries that lead to the equations of classical mechanics.
Free space, no potential,
As above this implies that
meaning that is constant with respect to the spatial coordinat .
We also have from the Euler-Lagrange equations that
where is a constant vector.
The last result follows because the partial derivative with respect to is the gradient with respect to the velocity .
Thus, the Lagrangian cannot be a function of the direction of the velocity vector, meaning that the Lagrangian can only be a function of the magnitude of velocity, but not its
direction. This is a statement of the isotropy of space.
The result implies that
where is a constant of integration.
By the isotropy of space
But because there can be no angular dependence, we may take and thus the expression for the Lagrangian becomes
The simplest model is of a particle traveling at a constant velocity, in a constant direction, which is the definition of an inertial frame.
If we define , where is mass, then the Lagrangian takes on the form of kinetic energy, to within a constant
Conservation of linear momentum
Substituting this form of the Lagrangian into
where is the momentum, which must be the same as the constant vector defined in the previous discussion. This
is a statement of conservation of linear momentum.
Free Space with a potential field
By the linearity of the Lagrangian, we need only add the potential to the previous expression of the Lagrangian to obtain
Solving the Euler-Lagrange equations (here with written as we have
Invoking the equivalence of the velocity gradient of L and momentum, we have
Applying the time derivative to the velocity we obtain the acceleration , we have Newton's equation of motion
Thus, Newton's laws of mechanics follow from the consideration of the homogeneity and isotropy of space and time.
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Calculus of variations
- ↑ Landau, L.D. and Lifshitz, E.M., 1976. Mechanics, vol. 1. Course of theoretical physics, pp.84-93.
- ↑ Fox, C., 1950. An introduction to the calculus of variations. Courier Corporation.
- ↑ Whaley, J., 2017, Oil in the Heart of South America, https://www.geoexpro.com/articles/2017/10/oil-in-the-heart-of-south-america], accessed November 15, 2021.
- ↑ Wiens, F., 1995, Phanerozoic Tectonics and Sedimentation of The Chaco Basin, Paraguay. Its Hydrocarbon Potential: Geoconsultores, 2-27, accessed November 15, 2021; https://www.researchgate.net/publication/281348744_Phanerozoic_tectonics_and_sedimentation_in_the_Chaco_Basin_of_Paraguay_with_comments_on_hydrocarbon_potential
- ↑ Alfredo, Carlos, and Clebsch Kuhn. “The Geological Evolution of the Paraguayan Chaco.” TTU DSpace Home. Texas Tech University, August 1, 1991. https://ttu-ir.tdl.org/handle/2346/9214?show=full.