Question

On the manifold \(\mathbb{R}^{2}\) with coordinates \((r, y)\), let \(X\) be the vector field \(X=-y \partial_{x}+\) \(x \partial_{y}\). Determine the integral curve through any point \((x, y)\), and the one-parameter group generated by \(X\). Find coordinates \(\left(x^{\prime}, y^{\prime}\right)\) such that \(X=\partial_{x}\),

Short answer

The integral curve is \(x(t)=r\cos(t+\phi)\) and \(y(t)= r\sin(t+\phi)\), and the one-parameter group is \(x(t)=x\cos(t)-y\sin(t)\) and \(y(t)=x\sin(t)+y\cos(t)\). The transformed coordinates are \(x^{\prime}=x\cos(t)-y\sin(t)\) and \(y^{\prime}=x\sin(t)+y\cos(t)\).

Step-by-step solution

Firstly, solving the integral curve

The integral curve is described by the ordinary differential equation derived from the vector field \(X\). Set up the differential equations \( \frac{dx}{dt} = -y, \frac{dy}{dt} = x \). These are the equations one needs to solve for the integral curve.

Secondly, solving the set of Ordinary Differential Equations (ODEs)

Every ODE solution requires a unique method. In this case, the coupled ODEs can be solved using trigonometric function solution. The solutions are \(x(t)=r\cos(t+\phi)\) and \(y(t)= r\sin(t+\phi)\), where \(r=\sqrt{x^2+y^2}\) is the initial radius to the origin and \(\phi \) is the initial angle.

Thirdly, Generating the one-parameter group

This step is worked by evaluating the integral curves at various points. Computing X at \(x(0)\) and \(y(0)\) gives the one-parameter group of transformations as \(x(t)=x\cos(t)-y\sin(t)\) and \(y(t)=x\sin(t)+y\cos(t)\)

Finally, Transforming the coordinates

Simply letting \(x'= r\cos(t+\phi)\) and \(y'= r\sin(t+\phi)\) makes \( X=\partial_{x'}\). Hence, a set of coordinates \(x^{\prime}\) and \(y^{\prime}\) that transforms the vector field into a simpler form is given as \(x^{\prime}=x\cos(t)-y\sin(t)\) and \(y^{\prime}=x\sin(t)+y\cos(t)\)

Key concepts

Integral Curves

In the realm of vector fields, integral curves play a significant role by acting as paths that follow the direction determined by a vector field. For any given vector field, these curves are solutions to specific ordinary differential equations (ODEs) that embody the direction and flow of the vector field. Think of them as pathways that a particle would naturally follow if the vector field were guiding its movement.

To determine an integral curve, we begin by setting up differential equations from the vector field components. For instance, the vector field \(X=-y \partial_{x}+ x \partial_{y}\) leads to the following equations: \( \frac{dx}{dt} = -y \) and \( \frac{dy}{dt} = x \).

• Directionality: The equations specify how the point coordinates \((x, y)\) change over time \(t\).
• Path Formation: Solving these ODEs gives us a family of curves parameterized by time \(t\).

The solution to these equations reveals the paths, or integral curves, such as \(x(t)=r\cos(t+\phi)\) and \(y(t)= r\sin(t+\phi)\), indicating a circular motion centered at the origin.

One-Parameter Groups

One-parameter groups are fundamental structures formed from the flow generated by vector fields. A one-parameter group of transformations reflects continuous symmetries and transformations of a system parameterized by a real number \(t\).

Consider our vector field, \(X=-y \partial_{x} + x \partial_{y}\), when evaluated, it produces transformations expressed by \(x(t)=x\cos(t)-y\sin(t)\) and \(y(t)=x\sin(t)+y\cos(t)\). These transformations form the one-parameter group, encapsulating the rotation effect of the vector field.

• Continuity: The parameter \(t\) varies continuously, creating a smooth transformation path for \((x, y)\).
• Inverse Element: Reversing time, \(t \to -t\), results in reversing transformations.
• Consistency: Successive transformations maintain group properties, such as associativity.

Thus, the one-parameter group serves to link the structure of vector fields with transformations that can be continuously applied for various \(t\) values.

Coordinate Transformation

Transforming coordinates is an essential mathematical tool that simplifies the analysis of vector fields by expressing them in different, often simpler, forms. In our scenario, we found a transformation that converts our vector field \(X\) into \(\partial_{x'}\), which simplifies the analysis by potentially reducing the number of non-zero components.

This coordinate transformation is given by \(x^{\prime}=x\cos(t)-y\sin(t)\) and \(y^{\prime}=x\sin(t)+y\cos(t)\). This reflects a rotation of coordinates, effectively aligning the vector field along a single axis, which is particularly useful in many applications such as simplifying computation in physics or engineering.

• Rotation: The transformation represents a rotation about the origin, altering coordinate orientation.
• Simplification: The new basis \((x', y')\) often reduces complexity by aligning fields to natural directions.
• Preservation: Essential geometric and algebraic properties are maintained, ensuring equivalence between original and modified systems.

Through this method, intricate systems can become more manageable, illuminating the underlying structure by presenting them in "nicer" or more intuitive coordinate systems.

Ordinary Differential Equations

Ordinary differential equations (ODEs) are equations involving functions and their derivatives, capturing how a quantity changes over time. In vector fields, ODEs are paramount as they constitute the backbone of defining integral curves, as seen through the vector field \(X\).

We focused on solving the ODEs \( \frac{dx}{dt} = -y \) and \( \frac{dy}{dt} = x \), which define the motion along the integral curves. These are examples of a system of coupled ODEs, where one equation relies on the outcome of the other.

• Coupling: The system entails equations influencing each other, demanding simultaneous solutions.
• Analytical Solutions: Our solution \(x(t)=r\cos(t+\phi)\) and \(y(t)= r\sin(t+\phi)\) exploit trigonometric identities to solve.
• Initial Conditions: Determining specific solutions often requires initial values, such as initial position or angle.

This illustrates why ODEs are indispensable in capturing the dynamic essence of systems, transliterating vector field information into tangible trajectories or paths.