Problem 58
Question
Verify that the conclusion of Clairaut's Theorem holds, that is, \(u_{x y}=u_{y x}\) $$u=x^{4} y^{2}-2 x y^{5}$$
Step-by-Step Solution
Verified Answer
Clairaut's Theorem holds; \(u_{xy} = u_{yx}\).
1Step 1: Compute the first partial derivatives
First, find the partial derivative of the function \(u\) with respect to \(x\) and \(y\).\[ u_x = \frac{\partial}{\partial x}(x^4 y^2 - 2xy^5) = 4x^3 y^2 - 2y^5 \]\[ u_y = \frac{\partial}{\partial y}(x^4 y^2 - 2xy^5) = 2x^4 y - 10xy^4 \]
2Step 2: Compute the mixed partial derivative \(u_{xy}\)
Using the partial derivative \(u_x\), now compute \(u_{xy}\) by differentiating \(u_x\) with respect to \(y\).\[ u_{xy} = \frac{\partial}{\partial y}(4x^3 y^2 - 2y^5) = 8x^3 y - 10y^4 \]
3Step 3: Compute the mixed partial derivative \(u_{yx}\)
Using the partial derivative \(u_y\), compute \(u_{yx}\) by differentiating \(u_y\) with respect to \(x\).\[ u_{yx} = \frac{\partial}{\partial x}(2x^4 y - 10xy^4) = 8x^3 y - 10y^4 \]
4Step 4: Verify the condition of Clairaut's Theorem
Compare the results from steps 2 and 3. Both \(u_{xy}\) and \(u_{yx}\) should be equal for Clairaut's Theorem to hold.The computed values are:\[ u_{xy} = 8x^3 y - 10y^4 \]\[ u_{yx} = 8x^3 y - 10y^4 \]Since \(u_{xy} = u_{yx}\), the conclusion of Clairaut's Theorem holds.
Key Concepts
Understanding Mixed Partial DerivativesThe Basics of Partial DerivativesInsight into Function Differentiation
Understanding Mixed Partial Derivatives
Mixed partial derivatives involve computing the derivative of a function with respect to two distinct variables. Imagine you have a function of two variables, such as in the given exercise where the function is defined as \( u = x^4 y^2 - 2xy^5 \).
When we talk about mixed partial derivatives, we are referring to the second-order derivatives where you first differentiate the function with respect to one variable and then with respect to another.
When we talk about mixed partial derivatives, we are referring to the second-order derivatives where you first differentiate the function with respect to one variable and then with respect to another.
- The symbol \( u_{xy} \) refers to first differentiating \( u \) with respect to \( x \), and then differentiating the resulting expression with respect to \( y \).
- Similarly, \( u_{yx} \) means first differentiating \( u \) with respect to \( y \), and then differentiating that result with respect to \( x \).
The Basics of Partial Derivatives
Partial derivatives are a way of finding out how a multi-variable function changes when we alter one of its variables, holding others constant.
In simpler terms, if you have a function \( u(x, y) \), a partial derivative with respect to \( x \) measures how \( u \) changes as \( x \) changes, keeping \( y \) constant.
In simpler terms, if you have a function \( u(x, y) \), a partial derivative with respect to \( x \) measures how \( u \) changes as \( x \) changes, keeping \( y \) constant.
- The notation \( u_x \) denotes the partial derivative of \( u \) with respect to \( x \).
- Similarly, \( u_y \) indicates the partial derivative of \( u \) with respect to \( y \).
Insight into Function Differentiation
Function differentiation is a fundamental concept in calculus that involves finding the rate at which a function changes as its inputs change.
For functions of a single variable, this means finding the slope of the tangent line to the curve at any given point. But when dealing with functions of multiple variables, like in bivariate functions, differentiation becomes more complex with partial derivatives.
The process involves:
Differentiating functions stepwise helps manage this complexity, especially for verifying relationships between mixed derivatives as done in the original solution.
For functions of a single variable, this means finding the slope of the tangent line to the curve at any given point. But when dealing with functions of multiple variables, like in bivariate functions, differentiation becomes more complex with partial derivatives.
The process involves:
- Identifying how a change in one variable affects the overall change in the function while holding the other variables constant.
- Using differential calculus techniques to handle each variable separately.
Differentiating functions stepwise helps manage this complexity, especially for verifying relationships between mixed derivatives as done in the original solution.
Other exercises in this chapter
Problem 57
Show that the sum of the \(x^{-}, y_{-}\) and \(z\) -intercepts of any tangent plane to the surface \(\sqrt{x}+\sqrt{y}+\sqrt{z}=\sqrt{c}\) is a constant.
View solution Problem 58
Suppose that the equation \(F(x, y, z)=0\) implicitly defines each of the three variables \(x, y,\) and \(z\) as functions of the other two: \(z=f(x, y), y=g(x,
View solution Problem 58
Show that the pyramids cut off from the first octant by any tangent planes to the surface \(x y z=1\) at points in the first octant must all have the same volum
View solution Problem 59
Verify that the conclusion of Clairaut's Theorem holds, that is, \(u_{x y}=u_{y x}\) $$u=\ln \sqrt{x^{2}+y^{2}}$$
View solution