$$\text { If } u=x^{2} y^{3} z \text { and } x=\sin (s+t), y=\cos (s+t), z=e^{s t}, \text { find } \partial u / \partial s \text { and } \partial u / \partial t$$.

Short Answer

Expert verified
\( \partial u / \partial s \) and \( \partial u / \partial t \) can be found using the chain rule and substituting the given functions.

Step by step solution

01

Write down the given functions

The functions given are: \(u = x^2 y^3 z\)\(x = \sin(s+t)\)\(y = \cos(s+t)\) \(z = e^{s t}\).
02

Apply the chain rule for partial derivatives

To find \( \partial u / \partial s \) and \( \partial u / \partial t \), use the chain rule: \[ \frac{\partial u}{\partial s} = \frac{\partial u}{\partial x} \cdot \frac{\partial x}{\partial s} + \frac{\partial u}{\partial y} \cdot \frac{\partial y}{\partial s} + \frac{\partial u}{\partial z} \cdot \frac{\partial z}{\partial s} \] \[ \frac{\partial u}{\partial t} = \frac{\partial u}{\partial x} \cdot \frac{\partial x}{\partial t} + \frac{\partial u}{\partial y} \cdot \frac{\partial y}{\partial t} + \frac{\partial u}{\partial z} \cdot \frac{\partial z}{\partial t} \].
03

Compute the partial derivatives of \(u\) with respect to \(x\), \(y\), and \(z\)

Calculate the partial derivatives: \( \frac{\partial u}{\partial x} = 2x y^3 z\) \( \frac{\partial u}{\partial y} = 3x^2 y^2 z\) \( \frac{\partial u}{\partial z} = x^2 y^3\).
04

Compute the partial derivatives of \(x\), \(y\), and \(z\) with respect to \(s\) and \(t\)

Calculate: \( \frac{\partial x}{\partial s} = \cos(s+t)\) \( \frac{\partial x}{\partial t} = \cos(s+t)\) \( \frac{\partial y}{\partial s} = -\sin(s+t)\) \( \frac{\partial y}{\partial t} = -\sin(s+t)\) \( \frac{\partial z}{\partial s} = t e^{st}\) \( \frac{\partial z}{\partial t} = s e^{st}\).
05

Substitute and simplify for \( \partial u / \partial s \)

Using the chain rule, substitute all partial derivatives into: \[ \frac{\partial u}{\partial s} = 2x y^3 z \cos(s+t) + 3x^2 y^2 z (-\sin(s+t)) + x^2 y^3 (t e^{st}) \] Substituting \(x = \sin(s+t)\), \(y = \cos(s+t)\), and \(z = e^{st}\), we get: \[ \frac{\partial u}{\partial s} = 2 \sin^1(s+t) \cos^3(s+t) e^{st} \cos(s+t) - 3 \sin^2(s+t) \cos^2(s+t) e^{st} \-\sin(s+t) + \sin^2(s+t) \cos^3(s+t)t e^{st} \].
06

Substitute and simplify for \( \partial u / \partial t \)

Similarly, use the chain rule for: \[ \frac{\partial u}{\partial t} = 2x y^3 z \cos(s+t) + 3x^2 y^2 z (-\sin(s+t)) + x^2 y^3 (s e^{st}) \] Substituting \(x = \sin(s+t)\), \(y = \cos(s+t)\), and \(z = e^{st}\), we get: \[ \frac{\partial u}{\partial t} = 2 \sin^1(s+t) \cos^3(s+t) e^{st} \cos(s+t) - 3 \sin^2(s+t) \cos^2(s+t) e^{st} \-\sin(s+t) + \sin^2(s+t) \cos^3(s+t)s e^{st} \].

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Key Concepts

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

the importance of differentiation
Differentiation is a core concept in calculus that's all about finding the rate at which a function changes. For functions of a single variable, differentiation tells us how the function's value changes as its input changes.

In the context of multivariable functions, differentiation involves partial derivatives, where we examine how the function changes in response to changes in each of its variables independently.

Let's dive into an example. Consider a function **u = x^2 y^3 z**:
  • To find **∂u/∂x**, we treat **y** and **z** as constants and differentiate with respect to **x**:
    \( \frac{\text{∂}u}{\text{∂}x} = 2xy^3z \).
  • For **∂u/∂y**, **x** and **z** are constants:
    \( \frac{\text{∂}u}{\text{∂}y} = 3x^2y^2z \).
  • And for **∂u/∂z**, **x** and **y** are held constant:
    \( \frac{\text{∂}u}{\text{∂}z} = x^2y^3 \).

Through these partial derivatives, we can dissect the behavior of **u** in various dimensions. This approach is fundamental in optimization problems, where we need to find maximum or minimum values of multivariable functions. It's also essential in understanding how complex systems respond to changes in their parameters.

Ultimately, mastering differentiation in the multivariable context enables you to solve a wide range of practical and theoretical problems.

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Most popular questions from this chapter

In discussing the velocity distribution of molecules of an ideal gas, a function \(F(x, y, z)=f(x) f(y) f(z)\) is needed such that \(d(\ln F)=0\) when \(\phi=x^{2}+y^{2}+z^{2}=\) const. Then by the Lagrange multiplier method \(d(\ln F+\lambda \phi)=0 .\) Use this to show that $$ F(x, y, z)=A e^{-(\lambda / 2)\left(x^{2}+y^{2}+z^{2}\right)} .$$

Find the point on \(2 x+3 y+z-11=0\) for which \(4 x^{2}+y^{2}+z^{2}\) is a minimum.

The formulas of this problem are useful in thermodynamics. (a) Given \(f(x, y, z)=0,\) find formulas for $$\left(\frac{\partial y}{\partial x}\right)_{z}, \quad\left(\frac{\partial x}{\partial y}\right)_{z}, \quad\left(\frac{\partial y}{\partial z}\right)_{x}, \quad \text { and } \quad\left(\frac{\partial z}{\partial x}\right)_{y}$$ (b) Show that \(\left(\frac{\partial x}{\partial y}\right)_{z}\left(\frac{\partial y}{\partial x}\right)_{z}=1\) and \(\left(\frac{\partial x}{\partial y}\right)_{z}\left(\frac{\partial y}{\partial z}\right)_{z}\left(\frac{\partial z}{\partial x}\right)_{y}=-1\) $$\begin{aligned}&\text { (c) If } x, y, z \text { are each functions of } t, \text { show that }\left(\frac{\partial y}{\partial z}\right)_{x}=\left(\frac{\partial y}{\partial t}\right)_{x} /\left(\frac{\partial z}{\partial t}\right)_{x} \text { and }\\\ &\text { corresponding formulas for }\left(\frac{\partial z}{\partial x}\right)_{y} \text { and }\left(\frac{\partial x}{\partial y}\right)_{z} \end{aligned}$$

Find \(\frac{d}{d x} \int_{t=1 / x}^{t=2 / x} \frac{\cosh x t}{t} d t.\)

If \(x^{y}=y^{x},\) find \(d y / d x\) at (2,4).

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