Partial differential coefficient

In summary, when calculating the partial derivative of a function with multiple variables, it is important to consider the full chain rule to properly account for the dependence
  • #1
jonjacson
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Homework Statement



The equation is z= e (x*y), the interesting thing is y is function of x too, y = ψ(x)

Calculate the partial derivative respect to x, and the total derivative.

Homework Equations



Total differential:

dz= ∂z/∂x dx + ∂z/∂y dy

The Attempt at a Solution


[/B]
Well, according to the book:

∂z/∂x= y * exy

But I don't agree with this result, because if y is also function of x this term will be different.

For example if y=x3, z would be = ex4, and the partial derivative is:

∂z/∂x = 4 x3 * e x4

and this is not the same as:

y * e xy = x3ex4

What do you think?

I just want to check if the book is right, this topic (multivariate differential calculus) is so important that I want to understand it correctly.
 
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  • #2
The book is right. When they talk about partial derivative they talk about the derivative considering ##e^{yx}## as a function of ##x## and ##y## as independent parameters. What you are computing is the total derivative.
 
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  • #3
jonjacson said:

Homework Statement



The equation is z= e (x*y), the interesting thing is y is function of x too, y = ψ(x)

Calculate the partial derivative respect to x, and the total derivative.

Homework Equations



Total differential:

dz= ∂z/∂x dx + ∂z/∂y dy

The Attempt at a Solution


[/B]
Well, according to the book:

∂z/∂x= y * exy

But I don't agree with this result, because if y is also function of x this term will be different.

For example if y=x3, z would be = ex4, and the partial derivative is:

∂z/∂x = 4 x3 * e x4

and this is not the same as:

y * e xy = x3ex4

What do you think?

I just want to check if the book is right, this topic (multivariate differential calculus) is so important that I want to understand it correctly.

If ##z = e^{x\, \psi(x)} ## then there really is no such thing as a "partial derivative" of ##z##; there is only an "ordinary" (1-variable) derivative ##dz/dx##.
However, that being said, we do have that ##z'(x)## is expressed in terms of the partial derivatives of the function ##e^{xy}## evaluated at ##y = \psi(x)## (and, of course, the derivative ##d \psi(x)/dx## is involved as well).

To fix your difficulties when ##y = x^3## you need to use the full force of the complete chain rule:
$$\frac{d}{dx} \left( \left. e^{x y} \right|_{y = x^3} \right) = \left. \frac{\partial e^{x y}}{\partial x} \right|_{y = x^3}
+ \left. \frac{ \partial e^{xy}}{\partial y} \right|_{y = x^3} \: \cdot \frac{d \, x^3}{dx}$$
 

1. What is a partial differential coefficient?

A partial differential coefficient is a mathematical term that represents the change in a dependent variable with respect to an independent variable in a multivariable function. It measures the rate of change of a variable while holding other variables constant.

2. How is a partial differential coefficient calculated?

A partial differential coefficient is calculated by taking the partial derivative of a function with respect to a specific variable. This involves treating all other variables as constants and using the rules of differentiation to find the rate of change of the function with respect to the chosen variable.

3. What is the difference between a partial differential coefficient and an ordinary differential coefficient?

The main difference between a partial differential coefficient and an ordinary differential coefficient is that a partial differential coefficient considers the change in a function with respect to one specific variable while holding others constant, whereas an ordinary differential coefficient considers the overall change in a function with respect to one variable.

4. In what fields of science is the concept of partial differential coefficients used?

Partial differential coefficients are used in many fields of science including physics, engineering, economics, and meteorology. They are particularly useful in studying systems with multiple variables and understanding how changes in one variable affect the overall system.

5. Can you give an example of a real-life application of partial differential coefficients?

One example of a real-life application of partial differential coefficients is in weather forecasting. Meteorologists use partial differential equations to model the changes in temperature, pressure, and other variables in the atmosphere over time. By calculating the partial differential coefficients, they can predict how these variables will change and make more accurate weather forecasts.

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