Problem 4
Question
Find all first partial derivatives of each function. \(f(x, y)=e^{x} \cos y\)
Step-by-Step Solution
Verified Answer
\( \frac{\partial f}{\partial x} = e^x \cos y \) and \( \frac{\partial f}{\partial y} = -e^x \sin y \).
1Step 1: Identify the function
The given function is \( f(x, y) = e^x \cos y \). We need to find the first partial derivatives with respect to \( x \) and \( y \).
2Step 2: Partial Derivative with Respect to \( x \)
To find the partial derivative of \( f(x, y) \) with respect to \( x \), treat \( y \) as a constant. The derivative of \( e^x \) with respect to \( x \) is \( e^x \), and the cosine part remains as it is. Thus, \( \frac{\partial f}{\partial x} = e^x \cos y \).
3Step 3: Partial Derivative with Respect to \( y \)
Now find the partial derivative of \( f(x, y) \) with respect to \( y \), treating \( x \) as a constant. The derivative of \( \cos y \) with respect to \( y \) is \( -\sin y \). Therefore, \( \frac{\partial f}{\partial y} = e^x (-\sin y) = -e^x \sin y \).
4Step 4: Conclusion
We have found both partial derivatives of the function. \( \frac{\partial f}{\partial x} = e^x \cos y \) and \( \frac{\partial f}{\partial y} = -e^x \sin y \).
Key Concepts
Understanding CalculusExploring Multivariable FunctionsDifferentiation and Partial DerivativesTrigonometric Functions in Calculus
Understanding Calculus
Calculus is a branch of mathematics that studies rates of change and how quantities vary with respect to others. It is a foundational subject that enables us to solve complex problems across various scientific disciplines. There are two main branches of calculus: differential calculus and integral calculus.
- Differential Calculus: Focuses on the concept of the derivative, which measures how a function changes as its input changes. It helps understand slopes of curves and rates of change.
- Integral Calculus: Deals with accumulation of quantities, such as areas under a curve and total accumulated change.
Exploring Multivariable Functions
Multivariable functions involve more than one variable, creating surfaces instead of simple lines or curves. For instance, the function given in the exercise, \( f(x, y) = e^x \cos y \), involves the variables \( x \) and \( y \). Changes in these variables can result in different values of the function, much like how altering ingredients in a recipe can change the final dish.
- These functions map points from a plane (\( x, y \)) to a certain value, similar to plotting different altitudes on a topographic map.
- Understanding multivariable functions is crucial in fields such as physics, engineering, and economics, where systems with multiple influencing factors are common.
Differentiation and Partial Derivatives
Differentiation is the process of finding the derivative of a function, which provides information about its rate of change. In multivariable calculus, this leads to the concept of partial derivatives. These derivatives measure how a multivariable function changes with respect to one variable, while keeping others constant.
- Example: For \( f(x, y) = e^x \cos y \), when finding the partial derivative with respect to \( x \), treat \( y \) as a constant, resulting in \( \frac{\partial f}{\partial x} = e^x \cos y \).
- Conversely, for partial differentiation with respect to \( y \), \( x \) is constant, giving \( \frac{\partial f}{\partial y} = -e^x \sin y \).
Trigonometric Functions in Calculus
Trigonometric functions like \( \cos \) and \( \sin \) are essential in calculus, often arising in problems involving oscillations, waves, and circular movements. In the given function \( f(x, y) = e^x \cos y \), \( \cos y \) represents how the function value varies with \( y \), influenced by changes in angle or phase.
- Understanding how to differentiate these functions is key, as seen in the exercise where \( \cos y \) becomes \( -\sin y \) when differentiated with respect to \( y \).
- These derivatives are pivotal in accurately modeling behaviors in physics and engineering, where wave patterns and periodic motions need precise calculations.
Other exercises in this chapter
Problem 4
Find the gradient \(\nabla f\). $$ f(x, y)=x^{2} y \cos y $$
View solution Problem 4
Find the indicated limit or state that it does not exist. \(\lim _{(x, y) \rightarrow(1,2)} \frac{x^{3}-3 x^{2} y+3 x y^{2}-y^{3}}{y-2 x^{2}}\)
View solution Problem 4
Let \(g(x, y, z)=\sqrt{x \cos y}+z^{2} .\) Find each value. (a) \(g(4,0,2)\) (b) \(g(-9, \pi, 3)\) (c) \(g(2, \pi / 3,-1)\) (d) \(g(3,6,1.2)\)
View solution Problem 5
Find the directional derivative of \(f\) at the point \(\mathbf{p}\) in the direction of \(\mathbf{a}\). \(f(x, y)=e^{x} \sin y ; \mathbf{p}=(0, \pi / 4) ; \mat
View solution