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Find \(\frac{\partial f}{\partial x}\) and \(\frac{\partial f}{\partial y}\) for each of the following functions. $$f(x, y)=\frac{x-y}{x+y}$$

Short Answer

Expert verified
\( \frac{\partial f}{\partial x} = \frac{2y}{(x + y)^2} \) \( \frac{\partial f}{\partial y} = \frac{-2x}{(x + y)^2} \)

Step by step solution

01

Identify the given function

The given function is \[ f(x, y) = \frac{x - y}{x + y} \]
02

Find the partial derivative with respect to \(x\)

To find \(\frac{\partial f}{\partial x}\), treat \(y\) as a constant.Use the quotient rule, which states: \[ \frac{d}{dx}\left( \frac{u}{v} \right) = \frac{v \frac{du}{dx} - u \frac{dv}{dx}}{v^2}\]Here, \( u = x - y \) and \( v = x + y \).Then, compute the derivatives:\[ \frac{du}{dx} = 1 \]\[ \frac{dv}{dx} = 1 \]Now, apply the quotient rule:\[ \frac{\partial f}{\partial x} = \frac{(x + y) \cdot 1 - (x - y) \cdot 1}{(x + y)^2} \]Simplify the expression:\[ \frac{\partial f}{\partial x} = \frac{(x + y) - (x - y)}{(x + y)^2} = \frac{2y}{(x + y)^2} \]
03

Find the partial derivative with respect to \(y\)

To find \(\frac{\partial f}{\partial y}\), treat \(x\) as a constant.Similarly, use the quotient rule. Remember for \(u = x - y\) and \(v = x + y\), we have:\[ \frac{du}{dy} = -1 \]\[ \frac{dv}{dy} = 1 \]Now, apply the quotient rule:\[ \frac{\partial f}{\partial y} = \frac{(x + y) \cdot (-1) - (x - y) \cdot 1}{(x + y)^2} \]Simplify the expression:\[ \frac{\partial f}{\partial y} = \frac{-(x + y) - (x - y)}{(x + y)^2} = \frac{- x - y - x + y}{(x + y)^2} = \frac{-2x}{(x + y)^2} \]

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Key Concepts

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

Quotient Rule
The quotient rule is a method used in calculus to find the derivative of a function that is the ratio of two differentiable functions. Given two functions, say \(u(x)\) and \(v(x)\), the quotient rule states:
\[ \frac{d}{dx} \left( \frac{u}{v} \right) = \frac{v \cdot \frac{du}{dx} - u \cdot \frac{dv}{dx}}{v^2} \]
This might look complex at first, but it's about applying the product rule in a structured way for the numerator while keeping the denominator squared. Here, the function we dealt with was:
\[ f(x, y) = \frac{x - y}{x + y} \]
When we used the quotient rule, we treated the numerator \(u = x - y\) and the denominator \(v = x + y\) as separate functions. Applying this method carefully gives us the partial derivatives as required.
Multivariable Calculus
Multivariable calculus extends the principles of calculus to functions of more than one variable, such as \(f(x, y)\). Instead of dealing with single-variable functions, we now consider how a function changes as multiple variables change simultaneously. This requires finding partial derivatives. In this example, our function depends on both \(x\) and \(y\). Understanding how each variable independently affects the function is key to analyzing its behavior and properties. We used tools from multivariable calculus to break down and handle each part of the function separately, analyzing changes with respect to \(x\) and \(y\) independently.
Partial Differentiation
Partial differentiation is the process of finding the derivative of a function with respect to one variable while treating other variables as constants. In simpler terms, it means focusing on changes in one direction at a time. For instance, finding \( \frac{\partial f}{\partial x} \) means looking at how \( f \) changes as \( x \) changes while keeping \( y \) fixed. To compute the partial derivatives of \( f(x, y) = \frac{x - y}{x + y} \), we:
  • Treated \( y \) as a constant to find \( \frac{\partial f}{\partial x} \)
  • Treated \( x \) as a constant to find \( \frac{\partial f}{\partial y} \)
By treating one variable as fixed and using the quotient rule, we successfully found:
\[ \frac{\partial f}{\partial x} = \frac{2y}{(x + y)^2} \] and
\[ \frac{\partial f}{\partial y} = \frac{-2x}{(x + y)^2} \]

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Most popular questions from this chapter

Using data collected from 1929 to 1941 Richard Stone determined that the yearly quantity \(Q\) of beer consumed in the United Kingdom was approximately given by the formula \(Q=f(m, p, r, s),\) where $$ f(m, p, r, s)=(1.058) m^{0.136} p^{-0.727} r^{0.914} s^{0.816} $$ and \(m\) is the aggregate real income (personal income after direct taxes, adjusted for retail price changes), \(p\) is the average retail price of the commodity (in this case, beer), \(r\) is the average retail price level of all other consumer goods and services, and \(s\) is a measure of the strength of the beer. Determine which partial derivatives are positive and which are negative, and give interpretations. (For example, since \(\frac{\partial f}{\partial r}>0,\) people buy more beer when the prices of other goods increase and the other factors remain constant.) (Source: Journal of the Royal Statistical Society. )

Let \(f(p, q)=1-p(1+q) .\) Find \(\frac{\partial f}{\partial q}\) and \(\frac{\partial f}{\partial p}.\)

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Find all points \((x, y)\) where \(f(x, y)\) has a possible relative maximum or minimum. $$f(x, y)=\frac{1}{3} x^{3}-2 y^{3}-5 x+6 y-5$$

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