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As Newton’s ideas and methods were adopted and applied to address problems of increasing sophistication its limits were also made apparent by the increase in the complexity of the used notation. Consequently, further development had the goal of addressing these shortcomings by simplifying calculations and establishing the foundations for a wider variety of treatable problems. Therefore, computational methods and notations to handle the increasing intricacies of the posed problems have been developed by Euler [64], Laplace [85] and Lagrange [86], without altering the fundamentals or the nature of Newton’s world. Where Newton’s description focuses on forces and accelerations using second order differential equations, the Lagrangian formulation recasts them as a set of first order differential equations. It does so by redirecting attention from the explicit treatment of forces and accelerations to expressions linked to energy. Starting from an expression for Newton’s second law


is linkable to kinetic energy
and expressible as




Based on the Lagrangian, a motion takes the form

and
, where
corresponds to a base
manifold
,
is from the tangent space
Thus this description can be summarized
to take place in the tangent bundle
. Where previously a location, a velocity and an
acceleration were required, it is now sufficient to provide a point in this tangent bundle,
called the configuration space. This does not change the Galilean structure of the world,
however.
A trajectory which is used to describe a motion within the manifold
(Definition 35) may be
associated with a curve (Definition 45) in the tangent bundle
(Definition 52) of
using a
lift (Definition 26). Among all of the possible choices to lift a curve
, the one of the form

The curve to be lifted connects a starting point to an end point, thus changing the description from an initial value problem, to a boundary value problem. In order to appreciate the geometric nature of Lagrange’s formalism a short exploration of the concepts behind the distance of two points in a more traditional geometric setting is explored.
Using the clearly geometric construction presented in Section 4.8, with the Lagrangian
taking the
place of the metric field, it is possible to evaluate the Lagrangian along a lifted curve and, again using
the notion of a curve integral (Definition 95), assign values, called actions, to sections of any curve in
the following fashion
![∫ ∫ ∫
S = [t,t]L (¯γ (t),t)dt = [t,t]L(γ, ˙γ,t)dt = [t ,t]L (q, ˙q,t)dt, (5 .16)
0 1 0 1 0 1](whole786x.png)
and
correspond to the points
and
as indicated in Figure 5.2. In
mimicking the definition of distance, this allows to distinguish the various trajectories from each other,
thus providing a selection criterion in the form of the extrema which can be derived using
a simple homotopy (Definition 32) for variation, as can be shown in a short calculation.
![d ∫
S = --|s=0 L(γ + sη, ˙γ + s˙η)dt = 0 (5.17)
ds [t0,t1]](whole791x.png)

![∫ ∫ [ ]
S=d| L(α,α˙)dt = -∂-L(γ, ˙γ)∂γ-+ ∂--L(γ,γ˙)∂˙γ- dt = 0. (5.19)
dss=0 [t0,t1] [t0,t1] ∂γ ∂t ∂˙γ ∂t](whole793x.png)
![∫ ∂ ∂˙γ ∫ ∂ ( ∂ ) ∂γ
---L(γ,γ˙)---dt = − --- --L (γ, ˙γ) --dt, (5 .20)
[t0,t1]∂γ˙ ∂t [t0,t1]∂t ∂˙γ ∂t](whole794x.png)
![∫ [ ( ) ]
∂ ∂ ∂
∂t- ∂γ˙L(γ, ˙γ) − ∂-γL (γ, ˙γ) ˙γdt = 0, (5 .21)
[t0,t1]](whole795x.png)
, which pass through
the given points
and
, as shown in Figure 5.2, the actual realization can be found by the
minimization of the action defined in Equation 5.16 as in this case the equations of motion in the form
of the Euler-Lagrange Equation are met.
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