Problem 94
Question
For the following exercises, determine the region in which the function is continuous. Explain your answer. $$ f(x, y)=\frac{x^{2} y}{x^{2}+y^{2}} $$
Step-by-Step Solution
Verified Answer
The function is continuous everywhere on \( \mathbb{R}^2 \).
1Step 1: Understanding the Problem
We are given a function of two variables, \( f(x, y) = \frac{x^2 y}{x^2 + y^2} \), and we need to determine where it is continuous. A function is continuous where it does not have any indeterminate forms or discontinuities.
2Step 2: Identify Potential Points of Discontinuity
The function \( f(x, y) = \frac{x^2 y}{x^2 + y^2} \) might be discontinuous where the denominator \( x^2 + y^2 = 0 \). Since \( x^2 + y^2 = 0 \) only at the point \((x, y) = (0, 0)\), this is our candidate for a point of discontinuity.
3Step 3: Examine Continuity at Critical Points
We need to examine if \( f(x, y) \) is continuous at \((0, 0)\). At other points, it is continuous as the denominator is non-zero. At \((0, 0)\), we check the limit: \[ \lim_{(x, y) \to (0, 0)} \frac{x^2 y}{x^2 + y^2}. \]
4Step 4: Compute the Limit
To compute the limit \( \lim_{(x, y) \to (0, 0)} \frac{x^2 y}{x^2 + y^2} \), consider the limit along various paths. Along the x-axis (\( y=0 \)), the limit is 0, and along the y-axis (\( x=0 \)), the limit is also 0. Checking along the line \( y = mx \), the limit still evaluates to 0: \( \lim_{x \to 0} \frac{x^2(mx)}{x^2 + (mx)^2} = \lim_{x \to 0} \frac{mx^3}{x^2(1+m^2)} = 0 \). This suggests the limit is 0. However, we still need to confirm its consistency from other paths.
5Step 5: Conclusion on Path Independent Limits
By also considering another polar coordinate \( (r, \theta) \), \( x = r\cos(\theta), y = r\sin(\theta) \), \( \lim_{r \to 0} \frac{r^2 \cos^2(\theta) \cdot r \sin(\theta)}{r^2 \cos^2(\theta) + r^2 \sin^2(\theta)} = \lim_{r \to 0} r\cdot\cos^2(\theta) \sin(\theta) = 0 \). The limit evaluates to 0, indicating continuity at \((0,0)\).
6Step 6: Final Continuity Conclusion
Since the limit at \((0, 0)\) is 0 and \( f(0, 0) = 0 \), the function is actually continuous everywhere for all \( (x, y) \). The function is therefore continuous across the entire plane \( \mathbb{R}^2 \).
Key Concepts
ContinuityLimit EvaluationDiscontinuity in FunctionsMultivariable Calculus
Continuity
In multivariable calculus, continuity of a function at a point means that the function's output changes smoothly as the inputs approach that point. For functions with two variables, this means that small changes in
- the x-direction,
- the y-direction,
- or both,
Limit Evaluation
Evaluating limits is crucial in determining the continuity at specific points. For our function, we particularly need to check the behavior as \((x,y)\) approaches \((0,0)\). This involves evaluating \(\lim_{(x, y) \to (0, 0)} \frac{x^2 y}{x^2 + y^2}\). One common method is to check different paths leading to (0,0):
- Along the x-axis (where \(y=0\)): the corresponding limit results in 0.
- Along the y-axis (where \(x=0\)): again, we find the limit is 0.
- Along lines where \(y=mx\) for any constant m: again, the limit concludes as 0.
Discontinuity in Functions
Discontinuity in a function occurs when there is an abrupt change or interruption in the output values, generally at certain points called points of discontinuity. Typically, this happens when the function is undefined or when limits don’t agree from all paths. For this problem, the only possible point of discontinuity is at \((0,0)\), because it's defined everywhere else in the xy-plane. However, upon examining the behavior at this point and finding all directional limits agree and equal the value of the function at (0,0), we conclude no actual discontinuity exists at this point.
Multivariable Calculus
Multivariable calculus extends the concepts of single-variable calculus to functions of more than one variable. This involves studying limits, continuity, derivatives, and integrals in multiple dimensions. In the given function of two variables, understanding where it is continuous requires tools from multivariable calculus like path-dependent limits and polar coordinates transformations. Such techniques help evaluate how functions behave in a plane, rather than along just a line, providing a richer view of continuity and allowing us to deal with potential complications of multidimensional spaces.
Other exercises in this chapter
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