Question

Show that in \(n\) dimensions, if \(V\) is a regular \(n\)-domain with boundary \(S=\partial V\), and we set \(\alpha\) to be an \((n-1)\)-form with components $$ \alpha=\sum_{i=1}^{n}(-1)^{k+1} A^{\prime} \mathrm{d} x^{1} \wedge \cdots \wedge \mathrm{d} x^{i-1} \wedge \mathrm{d} x^{i+1} \wedge \cdots \wedge \mathrm{d} x^{n} $$ Stokes' theorem can be reduced to the \(n\)-dimensional Gauss theorem $$ \int_{v} \cdots \int A^{i}, \mathrm{~d} x^{1} \ldots \mathrm{d} x^{n}=\int \ldots \int_{s} A^{\prime} \mathrm{dS}_{1} $$ where \(\mathrm{d} S_{i}=\mathrm{d} x^{1} \ldots \mathrm{d} x^{i-1} \mathrm{~d} x^{i+1} \ldots . \mathrm{d} x^{n}\) is a "vector volume element' normal to \(S\).

Short answer

Stokes' theorem in \(n\) dimensions is equivalent to the \(n\)-dimensional Gauss theorem as shown by simplifying the integrals on both sides of Stokes' theorem to match the ones present in Gauss theorem.

Step-by-step solution

Define the \((n-1)\)-form

The \((n-1)\)-form \(\alpha\) is defined in the problem as \(\alpha=\sum_{i=1}^{n}(-1)^{k+1} A^{\prime} \mathrm{d} x^{1} \wedge \cdots \wedge \mathrm{d} x^{i-1} \wedge \mathrm{d} x^{i+1} \wedge \cdots \wedge \mathrm{d} x^{n}\)

Apply Stokes' Theorem

The Stokes' theorem is given by \(\int_{V} d\alpha = \int_{\partial V} \alpha\). When we apply the Stokes' theorem to the problem, we get \(\int_{V} d\alpha = \int_{S} \alpha\). Here, \(d\alpha\) is the exterior derivative of \(\alpha\). After taking the exterior derivative, we replace it in the integral and simplify.

Simplify the LHS

On the left-hand side of the equation \(\int_{V} d\alpha = \int_{S} \alpha\), we can simplify the integral \(\int_{V} d\alpha\) to \(\int_{V} \ldots \int A^{i}, \mathrm{d} x^{1} \ldots \mathrm{d} x^{n}\)

Simplify the RHS

Similarly, on the right-hand side of the equation, we can simplify \(\int_{S} \alpha\) to \(\int \ldots \int_{S} A^{\prime} \mathrm{dS}_{1}\)

Conclude

Now both sides of the equation match with the Gauss theorem in the exercise statement. Hence we can say that the given \(n\)-dimensional Gauss theorem is derived from Stokes' theorem.

Key concepts

n-dimensional Gauss theorem

The n-dimensional Gauss theorem is a significant extension of the classical Gauss's theorem, also known as the Divergence Theorem, but applied in a multidimensional context. In essence, it relates the flux of a vector field through a closed surface to the divergence of the field in its enclosed volume.

This theorem can be represented in any number of dimensions, thus termed "n-dimensional." It bridges the gap between local phenomena, described by divergence within a volume, and global phenomena, illustrated by surface integrals of vector fields over the boundary of that volume.

The proof includes transforming Stokes' theorem, which traditionally applies in a two-dimensional context, to higher dimensions. Through careful manipulation of forms and integrals, we can describe a generalized Gauss theorem applicable in complex n-dimensional spaces. This makes it invaluable in fields such as physics and engineering where multidimensional analysis is crucial.

differential forms

Differential forms are powerful mathematical tools used to generalize concepts from calculus to higher dimensions. They are essential in defining concepts like differentiability and integration on manifolds, which expands traditional calculus into a more flexible framework.

In simpler terms, differential forms use algebraic notations that help compute integrals in multi-dimensional spaces. They enable us to express various operations, such as finding the exterior derivative, in a compact form that resembles familiar operations of calculus, like differentiation.

By employing differential forms, complex integrals over surfaces or volumes in multi-dimensional spaces can be simplified greatly, turning into an algebraic procedure, rather than a geometric one. This ability to algebraically manipulate integrals makes differential forms an invaluable tool in multivariable calculus and theoretical physics.

exterior derivative

The exterior derivative is a core operation involving differential forms. It is a generalization of the concept of taking a derivative but in the context of differential forms.

In simple terms, the exterior derivative extends the idea of differentiation to forms of various degrees, helping transform a form of one degree to a form of one higher degree. For instance, it can transform a 1-form into a 2-form, and so on.

Using the exterior derivative, we can calculate the rate of change of differential forms within higher dimensions. This operation is integral to applying Stokes' theorem as it helps in expressing the differences across boundaries, crucial in linking volume and surface integrals.

• Exterior derivative maintains linearity, ensuring calculations remain consistent with traditional calculus rules.
• The derivative is nilpotent, meaning applying it twice yields zero, crucial for demonstrating properties like Stokes' theorem.
• It helps in identifying conserved quantities in physics, such as energy and momentum through integral expressions.

multivariable calculus

Multivariable calculus extends the concepts of calculus to functions of multiple variables. It offers tools to grasp more complex scenarios, like volumes under surfaces or rates of change in physical systems.

Applying multivariable calculus involves looking at partial derivatives, integrals, and differentials in multi-dimensional settings. It is crucial when dealing with vectors and their properties such as divergence and curl, which appear frequently in physics and engineering.

The inclusion of vector fields and multiple variables opens paths to understanding real-world phenomena, like fluid dynamics and electromagnetism. Such calculus supports the application of theorems like Stokes' and Gauss's in n-dimensions, ensuring concepts of integral and differential calculus operate effectively beyond simple Euclidean space.

• Utilizes partial derivatives to represent how functions change concerning each variable independently.
• Employs multiple integrals to compute areas, volumes, and flux in n-dimensional spaces.
• Enhances ability to model and solve real-world problems that depend on multiple varying quantities.