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\(\begin{array}{l}{\text { Find } \partial z / \partial u \text { and } \partial z / \partial v \text { when } u=1, v=-2 \text { if } z=\ln q \text { and }} \\ {q=\sqrt{v+3} \tan ^{-1} u .}\end{array}\)

Short Answer

Expert verified
\( \frac{\partial z}{\partial u} = \frac{2}{\pi} \) and \( \frac{\partial z}{\partial v} = \frac{1}{2} \).

Step by step solution

01

Find Expression for z in terms of u and v

Given that \( q = \sqrt{v+3} \tan^{-1} u \), and \( z = \ln q \). Substitute the expression for \( q \) to get \( z = \ln(\sqrt{v+3} \tan^{-1} u) \).
02

Apply Chain Rule for Partial Derivatives

To find \( \frac{\partial z}{\partial u} \), use the chain rule: \( \frac{\partial z}{\partial u} = \frac{1}{q} \cdot \frac{\partial q}{\partial u} \). Similarly, find \( \frac{\partial z}{\partial v} = \frac{1}{q} \cdot \frac{\partial q}{\partial v} \).
03

Differentiate q with Respect to u

Differentiate \( q = \sqrt{v+3} \tan^{-1} u \) with respect to \( u \). We get \( \frac{\partial q}{\partial u} = \sqrt{v+3} \cdot \frac{1}{1+u^2} \).
04

Differentiate q with Respect to v

Differentiate \( q = \sqrt{v+3} \tan^{-1} u \) with respect to \( v \). We have \( \frac{\partial q}{\partial v} = \frac{1}{2\sqrt{v+3}} \tan^{-1} u \).
05

Find \( \frac{\partial z}{\partial u} \) at \( u = 1, v = -2 \)

Substitute \( u = 1, v = -2 \) into \( \frac{\partial z}{\partial u} = \frac{1}{q} \cdot \sqrt{v+3} \cdot \frac{1}{1+u^2} \). First, calculate \( q = \sqrt{1} \cdot \tan^{-1}(1) = \frac{\pi}{4} \). Thus, \( \frac{\partial z}{\partial u} = \frac{1}{\frac{\pi}{4}} \cdot 1 \cdot \frac{1}{1+1^2} = \frac{4}{2\pi} = \frac{2}{\pi} \).
06

Find \( \frac{\partial z}{\partial v} \) at \( u = 1, v = -2 \)

Substitute \( u = 1, v = -2 \) into \( \frac{\partial z}{\partial v} = \frac{1}{q} \cdot \frac{1}{2\sqrt{v+3}} \cdot \tan^{-1} u \). Using \( q = \frac{\pi}{4} \), we have the expression \( \frac{\partial z}{\partial v} = \frac{1}{\frac{\pi}{4}} \cdot \frac{1}{2} \cdot \frac{\pi}{4} = \frac{1}{2} \).

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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, often used when differentiating composite functions. When dealing with partial derivatives, it allows us to differentiate a function with steps made up of several variables. If you have a function that depends on another function, the chain rule lets you express the derivative of the resulting function in terms of a series of multiplied derivatives.

For our exercise, the function \( z \) is dependent on \( q \), which in turn is a function of \( u \) and \( v \). Thus, to find \( \frac{\partial z}{\partial u} \) and \( \frac{\partial z}{\partial v} \), we use:
  • \( \frac{\partial z}{\partial u} = \frac{\partial z}{\partial q} \times \frac{\partial q}{\partial u} \)
  • \( \frac{\partial z}{\partial v} = \frac{\partial z}{\partial q} \times \frac{\partial q}{\partial v} \)

This method lets us simplify the differentiation process by taking the derivative of each part separately. By doing this, complex relationships are broken down into easier problems, simplifying the calculation.
Logarithmic Differentiation
Logarithmic differentiation involves taking the logarithm of a function and then differentiating. This technique is particularly helpful when differentiable equations include products, quotients, or powers of functions. By applying the logarithmic differentiation, you often simplify the differentiation process, especially for functions with a natural logarithm, such as in our exercise where \( z = \ln(q) \).

When differentiating the natural logarithm, the derivative \( \ln(x) \) gives \( \frac{1}{x} \). For our function, the derivative of \( z = \ln(q) \) is \( \frac{1}{q} \).
  • Notice how logarithmic differentiation helps avoid the complexities of differentiating products or compositions directly.

This step not only simplifies the process but also works seamlessly with the chain rule, providing a clear path to finding partial derivatives.
Inverse Trigonometric Functions
Inverse trigonometric functions, like \( \tan^{-1}(u) \), allow us to find angles corresponding to a given trigonometric value. These functions are critical in trigonometry and calculus and have specific derivatives that are often memorized due to their specificity.

The derivative of \( \tan^{-1}(u) \) with respect to \( u \) is \( \frac{1}{1+u^2} \). In our problem, this derivative plays a crucial role when applying the chain rule to find \( \frac{\partial q}{\partial u}\).
  • It's crucial to understand how these derivatives fit into larger functions, as they encapsulate both the properties of trigonometry and calculus.

Remembering these derivatives and understanding how they apply within the chain rule can simplify problems involving inverse trigonometric functions.
Multivariable Calculus
Multivariable calculus extends the principles of calculus to functions of multiple variables. This branch of mathematics is pivotal in fields that require modeling of real-world systems where several independent variables affect a dependent one.

In our exercise, we deal with \( z \) as a function of two variables, \( u \) and \( v \). Calculating partial derivatives such as \( \frac{\partial z}{\partial u} \) and \( \frac{\partial z}{\partial v} \) is typical in multivariable calculus.
  • This allows us to understand the rate of change of \( z \) with respect to each variable separately, while holding the other variable constant.
  • It offers a deeper insight compared to single-variable calculus by showing the relationship between functions of several variables.

By using tools like the chain rule and logarithmic differentiation, we can efficiently handle complex multivariable expressions, making it an essential skill in advanced calculus.

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Most popular questions from this chapter

Hottest point on a space probe A space probe in the shape of the ellipsoid $$4 x^{2}+y^{2}+4 z^{2}=16$$ enters Earth's atmosphere and its surface begins to heat. After 1 hour, the temperature at the point \((x, y, z)\) on the probe's surface is $$T(x, y, z)=8 x^{2}+4 y z-16 z+600.$$ Find the hottest point on the probe's surface.

Variation in electrical resistance by wiring resistors of \(R_{1}\) and \(R_{2}\) ohms in parallel (see accompanying figure) can be calculated from the formula $$ \frac{1}{R}=\frac{1}{R_{1}}+\frac{1}{R_{2}} $$ a. Show that $$ d R=\left(\frac{R}{R_{1}}\right)^{2} d R_{1}+\left(\frac{R}{R_{2}}\right)^{2} d R_{2} $$ b. You have designed a two-resistor circuit, like the one shown, to have resistances of \(R_{1}=100\) ohms and \(R_{2}=400\) ohms, but there is always some variation in manufacturing and the resistors received by your firm will probably not have these exact values. Will the value of \(R\) be more sensitive to variation in \(R_{1}\) or to variation in \(R_{2} ?\) Give reasons for your answer. c. In another circuit like the one shown, you plan to change \(R_{1}\) from 20 to 20.1 ohms and \(R_{2}\) from 25 to 24.9 ohms. By about what percentage will this change \(R ?\)

The condition \(\nabla f=\lambda \nabla g\) is not sufficient Although \(\nabla f=\lambda \nabla g\) is a necessary condition for the occurrence of an extreme value of \(f(x, y)\) subject to the conditions \(g(x, y)=0\) and \(\nabla g \neq 0,\) it does not in itself guarantee that one exists. As a case in point, try using the method of Lagrange multipliers to find a maximum value of \(f(x, y)=x+y\) subject to the constraint that \(x y=16 .\) The method will identify the two points \((4,4)\) and \((-4,-4)\) as candidates for the location of extreme values. Yet the sum \((x+y)\) has no maximum value on the hyperbola \(x y=16\) . The farther you go from the origin on this hyperbola in the first quadrant, the larger the sum \(f(x, y)=x+y\) becomes.

Find the linearization \(L(x, y, z)\) of the function \(f(x, y, z)\) at \(P_{0} .\) Then find an upper bound for the magnitude of the error \(E\) in the approximation \(f(x, y, z) \approx L(x, y, z)\) over the region \(R\) $$ \begin{array}{l}{f(x, y, z)=x y+2 y z-3 x z \text { at } P_{0}(1,1,0)} \\ {R :|x-1| \leq 0.01, \quad|y-1| \leq 0.01, \quad|z| \leq 0.01}\end{array} $$

In Exercises \(57-60,\) use the limit definition of partial derivative to compute the partial derivatives of the functions at the specified points. $$ f(x, y)=4+2 x-3 y-x y^{2}, \quad \frac{\partial f}{\partial x} \quad \text { and } \quad \frac{\partial f}{\partial y} \quad \text { at }(-2,1) $$

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