Tangent Spaces of Parametrized Sets - McInerney, Defn 3.3.5

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The discussion centers on Definition 3.3.5 from Andrew McInerney's book, "First Steps in Differential Geometry," specifically regarding the smoothness of parametrized curves. The definition states that a smooth curve \( c: I \longrightarrow S \) requires the existence of a smooth function \( \tilde{c}: I \longrightarrow U \) such that \( c = \phi \circ \tilde{c} \). The participant, Peter, questions the necessity of defining \( \tilde{c} \) when the codomain of \( c \) is already defined as \( S \). The explanation provided clarifies that smoothness is a local property and that using a chart \( (U, \phi) \) allows for a precise definition of smoothness in curved spaces.

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I am reading Andrew McInerney's book: First Steps in Differential Geometry: Riemannian, Contact, Symplectic ...

I am currently focussed on Chapter 3: Advanced Calculus ... and in particular I am studying Section 3.3 Geometric Sets and Subspaces of T_p ( \mathbb{R}^n ) ...

I need help with a basic aspect of Definition 3.3.5 ...

Definition 3.3.5 reads as follows:

?temp_hash=7aeccc5a693e5199bafcc0495a9943fc.png
In the above definition we find the following:

" ... ... Here, when we say that a parametrized curve c \ : \ I \longrightarrow S is smooth, we mean that there is a smooth function \tilde{c} \ : \ I \longrightarrow U such that c = \phi \circ \tilde{c} ... ... "

My question is as follows:

Why do we need to bother defining \tilde{c} ... the codomain of c is defined as S ... so we surely only need to stipulate that c is continuously differentiable or C^1 ... that is the usual definition of 'smooth' so why isn't this enough ...

... ... so, my question is then, why do we bother defining \tilde{c} and then go on to consider the composite function c = \phi \circ \tilde{c} ... ?Hope someone can help ...

Peter===========================================================

To give the context for McInerney's approach to this definition I am providing the introduction to Section 3.3 as follows:
?temp_hash=7aeccc5a693e5199bafcc0495a9943fc.png

?temp_hash=7aeccc5a693e5199bafcc0495a9943fc.png
 

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You can imagine the following situation. Think of ##S## being the city in which you live, ##p## your home and ##U## a roadmap of it.
The formula basically states that you can use a path ##I## on your map and project it to the actually city as well as finding it in reality.

The point is that ##S## can be of any shape, e.g. curved (or with hills in the example above).
Smoothness is a local property, i.e. it holds on small neighbourhoods around ##p##, even if for any ##p##. Instead to define what small neighbourhoods in ##S## are, we take a chart ##(U,\phi)## of ##S## in ##ℝ^n## where we already know what smooth means and define it with the help of ##\tilde{c}## and the requirements that ##\tilde{c}## is smooth and ##c=\phi \cdot \tilde{c}##.
 
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