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What is the domain of \(f(x, y)=x^{2} y-x y^{2} ?\)

Short Answer

Expert verified
Answer: The domain of the function \(f(x, y) = x^{2}y - xy^{2}\) is all real numbers for both \(x\) and \(y\). In set notation, it is represented as \(\{(x, y) \in \mathbb{R}^2\}\).

Step by step solution

01

Identify any possible restrictions on x and y

There may be restrictions on \(x\) and \(y\) such as taking the square root of a negative number, being undefined due to division by zero, or other cases which could limit the domain of the function. In this case, \(f(x, y)=x^{2}y-xy^{2}\) is a polynomial function and there are no operations that could result in such restrictions.
02

State the domain of the function

Since there are no restrictions on the variables \(x\) and \(y\), the domain of the function \(f(x, y)=x^{2}y-xy^{2}\) will be all real numbers for both \(x\) and \(y\). The domain can be represented in set notation as: Domain of \(f(x, y) = \{(x, y) \in \mathbb{R}^2\}\), where \(\mathbb{R}^2\) represents all possible ordered pairs of real numbers.

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Key Concepts

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

Polynomial Functions
Polynomial functions are algebraic expressions that consist of terms in the form of \(a_nx^n\), where \(a_n\) is a coefficient, and \(n\) is a non-negative integer called the degree of the term. These functions are sum of a finite number of these terms with real coefficients and are generally written in descending order of degrees. For example, \(f(x) = 4x^3 - 3x^2 + 2x - 1\) is a polynomial of degree 3, as the highest power of \(x\) is 3.

The special aspect of polynomial functions is that they are continuous and smooth, which means they do not have breaks, holes, or sharp corners anywhere in their graphs. Additionally, they are defined for all real numbers, which signifies that you can input any real number, and the polynomial function will give you a corresponding output without any complications from undefined operations, like division by zero or taking the square root of a negative number.

This fundamental characteristic of polynomials simplifies the process of determining their domain — the set of all possible inputs — because the domain for a polynomial function in \(x\) is always all real numbers. The absence of any restrictions like roots or divisions in a polynomial means no need to exclude any numbers from the domain.
Real Numbers
The real numbers encompass the entire spectrum of numbers used for measuring continuous quantities. They include the rational numbers, such as fractions and integers, as well as the irrational numbers; numbers that cannot be expressed as simple fractions and have non-repeating, non-terminating decimal expansions like \(\pi\) or \(\sqrt{2}\).

When we talk about the domain of a function in terms of real numbers, we imply that for every real number that exists, the function can accept it as an input and provide an output. In the context of polynomial functions, since they don't have restrictions such as needing a non-negative input for a square root, or avoiding a zero in the denominator of a fraction, their domain is simply all real numbers.

By stating the domain is all real numbers, we allow any number along the continuous number line to be part of the function's inputs, showcasing the truly vast and unrestricted nature of polynomials when it comes to their domain.
Set Notation
Set notation is a shorthand way to express collections of objects, numbers, or entities, and it's widely used in mathematics to clearly define the domain or range of a function. When we use set notation, we employ curly brackets \(\{\}\) to enclose our elements to represent a set.

For instance, the domain of a function can be expressed in set notation. If a function’s domain is all real numbers, it is written as \(\mathbb{R}\), and for ordered pairs of real numbers, we use \(\mathbb{R}^2\). So, if a function in two variables like \(f(x, y)\) is expressed to have a domain of all ordered pairs of real numbers, we would use the notation \(\{(x, y) | x \in \mathbb{R}, y \in \mathbb{R}\}\) or simply \(\{(x, y) \in \mathbb{R}^2\}\).

The beauty of set notation lies in its clarity and universality. Instead of writing long, convoluted descriptions of what numbers are included or excluded from a set, set notation lays it all out in a compact, easily understandable form.

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Most popular questions from this chapter

Looking ahead- tangent planes Consider the following surfaces \(f(x, y, z)=0,\) which may be regarded as a level surface of the function \(w=f(x, y, z) .\) A point \(P(a, b, c)\) on the surface is also given. a. Find the (three-dimensional) gradient of \(f\) and evaluate it at \(P\). b. The set of all vectors orthogonal to the gradient with their tails at \(P\) form a plane. Find an equation of that plane (soon to be called the tangent plane). $$f(x, y, z)=x^{2}+y^{2}+z^{2}-3=0 ; P(1,1,1)$$

Check assumptions Consider the function \(f(x, y)=x y+x+y+100\) subject to the constraint \(x y=4\) a. Use the method of Lagrange multipliers to write a system of three equations with three variables \(x, y,\) and \(\lambda\) b. Solve the system in part (a) to verify that \((x, y)=(-2,-2)\) and \((x, y)=(2,2)\) are solutions. c. Let the curve \(C_{1}\) be the branch of the constraint curve corresponding to \(x>0 .\) Calculate \(f(2,2)\) and determine whether this value is an absolute maximum or minimum value of \(f\) over \(C_{1} \cdot(\text {Hint}: \text { Let } h_{1}(x), \text { for } x>0, \text { equal the values of } f\) over the \right. curve \(C_{1}\) and determine whether \(h_{1}\) attains an absolute maximum or minimum value at \(x=2 .\) ) d. Let the curve \(C_{2}\) be the branch of the constraint curve corresponding to \(x<0 .\) Calculate \(f(-2,-2)\) and determine whether this value is an absolute maximum or minimum value of \(f\) over \(C_{2} .\) (Hint: Let \(h_{2}(x),\) for \(x<0,\) equal the values of \(f\) over the curve \(C_{2}\) and determine whether \(h_{2}\) attains an absolute maximum or minimum value at \(x=-2 .\) ) e. Show that the method of Lagrange multipliers fails to find the absolute maximum and minimum values of \(f\) over the constraint curve \(x y=4 .\) Reconcile your explanation with the method of Lagrange multipliers.

Use Lagrange multipliers in the following problems. When the constraint curve is unbounded, explain why you have found an absolute maximum or minimum value. Maximum area rectangle in an ellipse Find the dimensions of the rectangle of maximum area with sides parallel to the coordinate axes that can be inscribed in the ellipse \(4 x^{2}+16 y^{2}=16\)

Line tangent to an intersection curve Consider the paraboloid \(z=x^{2}+3 y^{2}\) and the plane \(z=x+y+4,\) which intersects the paraboloid in a curve \(C\) at (2,1,7) (see figure). Find the equation of the line tangent to \(C\) at the point \((2,1,7) .\) Proceed as follows. a. Find a vector normal to the plane at (2,1,7) b. Find a vector normal to the plane tangent to the paraboloid at (2,1,7) c. Argue that the line tangent to \(C\) at (2,1,7) is orthogonal to both normal vectors found in parts (a) and (b). Use this fact to find a direction vector for the tangent line.

Find the domain of the following functions. If possible, give a description of the domains (for example, all points outside a sphere of radius 1 centered at the origin). $$p(x, y, z)=\sqrt{x^{2}+y^{2}+z^{2}-9}$$

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