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Find the partial derivative of the dependent variable or function with respect to each of the independent variables. $$f(x, y)=\frac{2 \sin ^{3} 2 x}{1-3 y}$$

Short Answer

Expert verified
The partial derivatives are \( \frac{12 \sin^2(2x) \cos(2x)}{1-3y} \) with respect to \( x \) and \( \frac{6 \sin^3(2x)}{(1-3y)^2} \) with respect to \( y \).

Step by step solution

01

Identify the Variables

The function given is \( f(x, y) = \frac{2 \sin^3(2x)}{1-3y} \). We need to find the partial derivative with respect to each independent variable, \( x \) and \( y \).
02

Partial Derivative with respect to x

To find \( \frac{\partial f}{\partial x} \), treat \( y \) as a constant and differentiate \( f(x, y) \) with respect to \( x \): \[ \frac{\partial}{\partial x} \left( \frac{2 \sin^3(2x)}{1-3y} \right) = \frac{1}{1-3y} \cdot \frac{\partial}{\partial x} (2 \sin^3(2x)) \]Using the chain rule, differentiate \( 2 \sin^3(2x) \):\[ 2 \cdot 3 \sin^2(2x) \cdot \cos(2x) \cdot 2 = 12 \sin^2(2x) \cos(2x) \]Thus, the partial derivative with respect to \( x \) is:\[ \frac{12 \sin^2(2x) \cos(2x)}{1-3y} \]
03

Partial Derivative with respect to y

To find \( \frac{\partial f}{\partial y} \), treat \( x \) as a constant and differentiate \( f(x, y) \) with respect to \( y \): \[ \frac{\partial}{\partial y} \left( \frac{2 \sin^3(2x)}{1-3y} \right) = 2 \sin^3(2x) \cdot \frac{\partial}{\partial y} \left(\frac{1}{1-3y}\right) \]Differentiating \( \frac{1}{1-3y} \) with respect to \( y \) gives:\[ \frac{d}{dy} \left(\frac{1}{1-3y}\right) = \frac{3}{(1-3y)^2} \]Thus, the partial derivative with respect to \( y \) is:\[ \frac{6 \sin^3(2x)}{(1-3y)^2} \]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Chain Rule
The chain rule is a fundamental concept in calculus used to differentiate composite functions. It helps us understand how a change in one variable affects another related variable by layering different functions. To visualize, consider you have a function inside another, such as \( g(u) = u^3 \) and \( u = ext{sin}(2x) \). To find the derivative of the exterior function with respect to the innermost variable \( x \,\) you use the chain rule. Here's a simple breakdown of the chain rule steps:
  • Differentiate the outer function: find the derivative of \( g(u) = u^3 \), which gives \(3u^2\).
  • Differentiate the inner function: for \( u = ext{sin}(2x) \), the derivative is \(2 ext{cos}(2x)\).
  • Multiply these results together: you combine the derivatives to get the extrapolated effect i.e. \(3u^2 imes 2 ext{cos}(2x) = 6 ext{sin}^2(2x) ext{cos}(2x)\).
This rule is crucial when working with functions of multiple variables, helping unravel complex interaction between the variables.
Differentiation
Differentiation is the process of finding the derivative of a function, and it measures how a function changes as its input changes. In the realm of calculus, derivatives are used to find local extremes and understand the behavior of functions. Every time you see a slope or a tangent, that’s differentiation at work.The derivative of a simple function like \( f(x) = x^2 \) with respect to \( x \) is straightforward. However, in functions of multiple variables, we seek partial derivatives. These focus on how a function changes as one variable changes, holding the others constant. For example:
  • To differentiate \( f(x, y) = rac{2 ext{sin}^3(2x)}{1-3y} \) with respect to \( x \,\) treat \( y \) as a constant.
  • For the partial derivative with respect to \( y \,\) consider \( x \) as fixed.
The essence of differentiation allows calculus to deal effectively with multi-tiered relationships in functions with several variables involved.
Functions of Multiple Variables
Functions of multiple variables are functions that have more than one input, creating a multi-dimensional output. Understanding these functions is key in exploring the vast interdependencies present in real-world scenarios.In the example given, \( f(x, y) = rac{2 ext{sin}^3(2x)}{1-3y} \), both \( x \) and \( y \) are independent variables affecting the function's outcome. They allow us to explore complex behaviors not visible in single-variable functions. Key points to note when dealing with functions of multiple variables include:
  • Each input can independently change the output, hence the need for partial derivatives.
  • Visualizing these functions often involves graphs in 3D space to represent each variable's influence.
Grasping this concept means you're better equipped to conduct analyses that are true to multi-variable reality, such as optimizing conditions in engineering and economics.

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