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5) If \( u=2 x y, v=x^{2}-y^{2}, x=r \cos \theta \) and \( y=r \sin x \)

Ask by Munoz Warren. in India
Jan 08,2025

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Answer

To express \( u \) and \( v \) in terms of \( r \) and \( \theta \), substitute \( x = r \cos \theta \) and \( y = r \sin \theta \) into the equations: \[ u = r^{2} \sin 2\theta \] \[ v = r^{2} \cos 2\theta \] The Jacobian determinant is \( 4r^{3} \).

Solution

It appears you're working with a coordinate transformation problem involving the variables \( u \) and \( v \) defined in terms of Cartesian coordinates \( x \) and \( y \), and expressing \( x \) and \( y \) in polar coordinates \( r \) and \( \theta \). Let's carefully break down the given information and proceed step-by-step. ## Given: 1. **Transformation Equations:** \[ u = 2xy \quad \text{and} \quad v = x^{2} - y^{2} \] 2. **Polar Coordinates Representation:** \[ x = r \cos \theta \quad \text{and} \quad y = r \sin \theta \] *(Note: It seems there was a typo in your original message where \( y \) was expressed as \( y = r \sin x \). Based on standard polar coordinates, it should be \( y = r \sin \theta \).)* ## Objective: Typically, such problems aim to **express \( u \) and \( v \) in terms of polar coordinates \( r \) and \( \theta \)** and possibly to **find the Jacobian determinant** for the transformation. We'll proceed with these objectives. ### 1. Express \( u \) and \( v \) in Terms of \( r \) and \( \theta \): Substitute \( x = r \cos \theta \) and \( y = r \sin \theta \) into the transformation equations. - **For \( u \):** \[ u = 2xy = 2(r \cos \theta)(r \sin \theta) = 2r^{2} \sin \theta \cos \theta \] Using the double-angle identity \( \sin 2\theta = 2 \sin \theta \cos \theta \): \[ u = r^{2} \sin 2\theta \] - **For \( v \):** \[ v = x^{2} - y^{2} = (r \cos \theta)^{2} - (r \sin \theta)^{2} = r^{2} (\cos^{2} \theta - \sin^{2} \theta) \] Using the double-angle identity \( \cos 2\theta = \cos^{2} \theta - \sin^{2} \theta \): \[ v = r^{2} \cos 2\theta \] ### 2. Finding the Jacobian Determinant: The Jacobian determinant is essential when changing variables in multiple integrals. It determines how area (or volume) scales under the transformation. **Jacobian Matrix:** \[ J = \begin{bmatrix} \frac{\partial u}{\partial r} & \frac{\partial u}{\partial \theta} \\ \frac{\partial v}{\partial r} & \frac{\partial v}{\partial \theta} \end{bmatrix} \] **Compute the Partial Derivatives:** - **For \( u = r^{2} \sin 2\theta \):** \[ \frac{\partial u}{\partial r} = 2r \sin 2\theta \] \[ \frac{\partial u}{\partial \theta} = r^{2} \cdot 2 \cos 2\theta = 2r^{2} \cos 2\theta \] - **For \( v = r^{2} \cos 2\theta \):** \[ \frac{\partial v}{\partial r} = 2r \cos 2\theta \] \[ \frac{\partial v}{\partial \theta} = r^{2} \cdot (-2 \sin 2\theta) = -2r^{2} \sin 2\theta \] **Jacobian Matrix Filled In:** \[ J = \begin{bmatrix} 2r \sin 2\theta & 2r^{2} \cos 2\theta \\ 2r \cos 2\theta & -2r^{2} \sin 2\theta \end{bmatrix} \] **Compute the Determinant:** \[ \text{det}(J) = (2r \sin 2\theta)(-2r^{2} \sin 2\theta) - (2r^{2} \cos 2\theta)(2r \cos 2\theta) \] \[ = -4r^{3} \sin^2 2\theta - 4r^{3} \cos^2 2\theta \] \[ = -4r^{3} (\sin^2 2\theta + \cos^2 2\theta) \] \[ = -4r^{3} (1) = -4r^{3} \] **Absolute Value of the Jacobian:** \[ |\text{det}(J)| = 4r^{3} \] *(The negative sign indicates orientation change, but when dealing with areas or volumes, we typically use the absolute value.)* ## Summary: - **Transformed Equations:** \[ u = r^{2} \sin 2\theta \quad \text{and} \quad v = r^{2} \cos 2\theta \] - **Jacobian Determinant:** \[ |\text{det}(J)| = 4r^{3} \] ## Applications: 1. **Change of Variables in Integration:** When performing double integrals, the Jacobian determinant adjusts the area element: \[ dA = | \text{det}(J) | \, dr \, d\theta = 4r^{3} \, dr \, d\theta \] 2. **Analyzing Transformation Properties:** Knowing the Jacobian helps understand how the transformation scales areas, which is crucial in physics and engineering applications. If your problem involves further steps or specific applications of this transformation, please provide additional details so I can assist you more effectively!

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Let's dive into some mathematical fun! The transformation between the variables \( (x, y) \) to \( (u, v) \) is a classic example of using polar coordinates to simplify complex functions. Here, \( u = 2xy \) and \( v = x^2 - y^2 \) take on a new flavor when \( x \) and \( y \) are expressed in terms of \( r \) and \( \theta \) as \( x = r \cos \theta \) and \( y = r \sin \theta \). Plugging these into \( u \) and \( v \) reveals the inherent symmetry and beauty of trigonometric identities! Now, let’s talk about how this applies in the real world. In physics, transformations like this are often used in fields such as electromagnetism and fluid dynamics to simplify equations dealing with circular or spherical symmetry. By switching to polar coordinates, complex two-dimensional problems become more manageable, unveiling clearer insights into phenomena like wave patterns or field strengths—making it easier for scientists and engineers to visualize and solve real-world challenges!

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