What are the Partial Derivatives at the Origin (0,0)?

Regardless of the value of x, the limit is 0 as y goes to 0. Therefore, the partial derivative with respect to y at (0,0) is 0.In summary, the partial derivatives at the origin (0,0) for the given function are both equal to 0. This is because the limit of the difference quotient is 0 for both x and y as they approach 0, resulting in a partial derivative of 0.
  • #1
raphile
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Homework Statement



Evaluate the partial derivatives ∂f/∂x and ∂f/∂y at the origin (0,0), where:

f(x,y) = ((xy)^3/2)/(x^2 + y^2) if (x,y) ≠ (0,0);
and f(0,0) = 0.


Homework Equations



∂f/∂x(x0,y0) = lim(h->0) [(f(x0+h, y0) - f(x0, y0)) / h]

∂f/∂y(x0,y0) = lim(h->0) [(f(x0, y0+h) - f(x0, y0)) / h]


The Attempt at a Solution



When I tried to use the definition for ∂f/∂x I got lim(h->0) (0/h^3), and the same result for ∂f/∂y. Is it correct to say therefore the partial derivatives at the origin are zero?
 
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  • #2
Yes, the partial derivative with respect to x at (0,0) is taken as x= h approaches 0 and y= 0. That means that the numerator is is 0 for all h so the "difference quotient" is 0 for all non-zero h. The limit, as h goes to 0, is 0 so the partial derivative there is 0.

The same is true for the partial derivative with respect to y at (0,0).
 

FAQ: What are the Partial Derivatives at the Origin (0,0)?

What are partial derivatives?

Partial derivatives are a type of derivative in multivariable calculus that measures the instantaneous rate of change of a function with respect to one of its variables, while keeping the other variables constant. It is used to find the slope of a surface in a specific direction.

Why are partial derivatives important?

Partial derivatives are important because they allow us to analyze how changes in one variable affect the overall behavior of a function. They are used in various fields of science, such as physics and economics, to model and understand complex systems.

How do you calculate partial derivatives?

To calculate a partial derivative, we treat the other variables as constants and use the same rules as for single variable derivatives. We take the derivative of the function with respect to the variable in question, while holding the other variables constant.

What is the difference between partial derivatives and total derivatives?

The main difference between partial derivatives and total derivatives is that partial derivatives only consider the change in one variable at a time, while total derivatives take into account the simultaneous changes in all variables. Total derivatives are used when studying systems that are constantly changing, while partial derivatives are used for systems that are held constant in certain variables.

What are some real-world applications of partial derivatives?

Partial derivatives have various applications in the real world, such as in physics to calculate the forces acting on an object, in economics to analyze the relationship between different variables, and in engineering to optimize complex systems. They are also used in machine learning and data analysis to model and understand patterns and relationships in data.

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