MHB The Dual Space and Differential Forms .... ....

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SUMMARY

The discussion centers on understanding the representation of a linear functional in the context of differential forms as presented in Chapter 8, Section 2 of "Multivariable Mathematics" by Theodore Shifrin. Specifically, it clarifies that a linear functional $\phi$ can be expressed as $\phi = a_1 dx_1 + \cdots + a_n dx_n$ by demonstrating the equality through the linearity of both $\phi$ and the differentials $dx^k$. The proof involves evaluating $\phi(v)$ for an arbitrary vector $v$ in $\mathbb{R}^n$ and showing that both expressions yield the same result.

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  • Familiarity with differential forms and their notation
  • Knowledge of linearity in mathematical operations
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I am reading the book: Multivariable Mathematics by Theodore Shifrin ... and am focused on Chapter 8, Section 2, Differential Forms ...

I need some help in order to fully understand some statements of Shifrin at the start of Chapter 8, Section 2 on the dual space ...

The relevant text from Shifrin reads as follows:
View attachment 8791In the above text from Shifrin we read the following:

" ... ... Then $$\phi = a_1 dx_1 + \ ... \ ... \ + a_n dx_n$$ ... ... "
Can someone please demonstrate and explain how/why $$\phi = a_1 dx_1 + \ ... \ ... \ + a_n dx_n$$ ... ...
Help will be much appreciated ... ...

Peter
 

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Hi Peter,

To establish the result, let $v=\sum_{k=1}^{n}v^{k}e_{k}$ be a vector in $\mathbb{R}^{n}$. Then, using linearity of $\phi$ judiciously, $$\phi(v) = \sum_{k=1}^{n}v^{k}\phi\left(e_{k}\right)=\sum_{k=1}^{n}a_{k}v^{k}.$$ On the other hand, using linearity of the $dx^{k}$,
\begin{align*}
\left(a_{1}dx^{1}+\cdots + a_{n}dx^{n}\right)\left(v\right) &= \left(a_{1}dx^{1}+\cdots + a_{n}dx^{n}\right)\left(\sum_{k=1}^{n}v^{k}e_{k}\right)\\
&= a_{1}dx^{1}\left(\sum_{k=1}^{n}v^{k}e_{k}\right) +\cdots + a_{n}dx^{n}\left(\sum_{k=1}^{n}v^{k}e_{k}\right)\\
&=a_{1}v^{1}+\cdots +a_{n}v^{n}.
\end{align*}
Since the two are equal and $v$ was chosen arbitrarily, we have $\phi=a_{1}dx^{1}+ \cdots + a_{n}dx^{n}.$
 
GJA said:
Hi Peter,

To establish the result, let $v=\sum_{k=1}^{n}v^{k}e_{k}$ be a vector in $\mathbb{R}^{n}$. Then, using linearity of $\phi$ judiciously, $$\phi(v) = \sum_{k=1}^{n}v^{k}\phi\left(e_{k}\right)=\sum_{k=1}^{n}a_{k}v^{k}.$$ On the other hand, using linearity of the $dx^{k}$,
\begin{align*}
\left(a_{1}dx^{1}+\cdots + a_{n}dx^{n}\right)\left(v\right) &= \left(a_{1}dx^{1}+\cdots + a_{n}dx^{n}\right)\left(\sum_{k=1}^{n}v^{k}e_{k}\right)\\
&= a_{1}dx^{1}\left(\sum_{k=1}^{n}v^{k}e_{k}\right) +\cdots + a_{n}dx^{n}\left(\sum_{k=1}^{n}v^{k}e_{k}\right)\\
&=a_{1}v^{1}+\cdots +a_{n}v^{n}.
\end{align*}
Since the two are equal and $v$ was chosen arbitrarily, we have $\phi=a_{1}dx^{1}+ \cdots + a_{n}dx^{n}.$
Thanks GJA ... most helpful ...

Appreciate your help ...

Peter
 

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