Partial Derivative of Z: Step-by-Step Solution

In summary, the conversation discusses finding the partial derivatives of a function and explains that it is a directional derivative in one of the given coordinate directions. It also explains how to approach finding the partial derivatives and clarifies the concept of orthogonal coordinates.
  • #1
rovaniemi
10
0
Hi everyone,

Z=y+x^2*y+x^2+x^3+x^4+5

I would like to find the partial derivative of:
diff(z,x) ?
diff(z,y)?

Kindly give me a step by step solution.

Hope to hear from you soon. Thanking you all in advance for your replies.
 
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  • #2
What does it mean to take the partial derivative of a function?
 
  • #3
The partial derivative is a "directional derivative" in one of the given coordinate directions. Since you are working in orthogonal coordinates you can ignore the ones not being used ...

Thus for diff(Z,x) you simply treat y as a constant and then differentiate wrt x as normal:
diff(Z,x) = 2xy + 2x + 3x^2 +4x^3.

Now you do diff(Z,y)!
 
  • #4
Thank you ultrafastped for your reply. Could please explain what you meant by orthogonal corodinates? I would be highly grateful if you can show me step by step. Thank you.


UltrafastPED said:
The partial derivative is a "directional derivative" in one of the given coordinate directions. Since you are working in orthogonal coordinates you can ignore the ones not being used ...

Thus for diff(Z,x) you simply treat y as a constant and then differentiate wrt x as normal:
diff(Z,x) = 2xy + 2x + 3x^2 +4x^3.

Now you do diff(Z,y)!
 
  • #5
rovaniemi said:
Could please explain what you meant by orthogonal corodinates?
Orthogonal coordinates are a special case of curvilinear coordinates. A set of orthogonal coordinates means that the coordinates that make up the basis of your coordinate system are, well, orthogonal. The most obvious example (and the case in question) is the Cartesian system defined by the ##\left\{i,j,k\right\}## basis.

Other examples you may have seen include spherical and cylindrical coordinates.
 
  • #6
rovaniemi said:
I would be highly grateful if you can show me step by step. Thank you.

It's easier than it seems!

If you have the function

y = 3 + x^2*3 + x^2 + x^3 + x^4 + 5

Then what is dy/dx?

Now, I'm sure you can find that, so once you do, since you considered 3 to be a constant, do the same for y when taking the partial derivative dz/dx of the function

Z=y+x^2*y+x^2+x^3+x^4+5

3 is just like y. You treat it like a constant. Then to find dz/dy, just treat x as a constant.
 
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  • #7
To follow up on orthogonality: orthogonal means independence.

If two vectors are orthogonal then they are independent and this translates to the situation where changing one vector won't have any impact on changing the other.

In a non-orthogonal situation, changing one quantity will change another in the general situation.
 
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  • #8
Mentallic said:
It's easier than it seems!

If you have the function

y = 3 + x^2*3 + x^2 + x^3 + x^4 + 5

Then what is dy/dx?

Now, I'm sure you can find that, so once you do, since you considered 3 to be a constant, do the same for y when taking the partial derivative dz/dx of the function

Z=y+x^2*y+x^2+x^3+x^4+5

3 is just like y. You treat it like a constant. Then to find dz/dy, just treat x as a constant.

Thank you so much for the reply.
When
y = 3 + x^2*3 + x^2 + x^3 + x^4 + 5

Should the answer be like this:
dy/dx =6x +2x+3x^2+4x^3 when i consider 3 as constant and is it like 5(number alone without x or y variable) should also be ignored.
 
  • #9
You don't need to "consider 3 as constant"- it is constant!

What they mean is that z= 3xy+ 2x^2- 4xy^2+ x^2y^2, would be thought of as
1) (differentiating with respect to x) z= Ax+ Bx^2- Cx+ Dx^2, where A= 3y, B= 2, C= 4y^2, and D= y^2 are "constants", so that z_x= A+ 2Bx- C+ 2Dx= 3y+ 4x- y^2+ 2y^2x.

2) (differentiating with respect to y) z= Ay+ B- Cy^2+ Dy^2, where now A= 3x, B= 2x^2, C= 4x, and D= x^2 are "constants", so that z_y= A- 2Cy+ 2Dy= 3x- 2x^2y+ 2x^2y.
 

FAQ: Partial Derivative of Z: Step-by-Step Solution

1. What is a partial derivative?

A partial derivative is a mathematical concept used in calculus to find the rate of change of a function with respect to one of its variables while holding all other variables constant. It is denoted by ∂ (the partial derivative symbol) and is a fundamental tool in multivariable calculus.

2. How is a partial derivative calculated?

To calculate a partial derivative, you first need to identify the variable with respect to which you want to find the derivative. Then, treat all other variables as constants and use the standard rules of differentiation to find the derivative. The resulting derivative will give you the rate of change of the function with respect to the chosen variable.

3. What is the purpose of finding a partial derivative?

Finding partial derivatives is useful in many areas of mathematics and science, especially in multivariable calculus, physics, and economics. It allows us to analyze and understand the behavior of complex functions by breaking them down into smaller, more manageable parts. It is also essential in optimization problems, where we need to find the maximum or minimum value of a function.

4. How do you interpret a partial derivative?

A partial derivative can be interpreted as the slope of a tangent line to a curve on a multi-dimensional surface at a specific point. It represents the instantaneous rate of change of the function with respect to one of its variables at that point. It can also be thought of as the sensitivity of the function to changes in that variable while holding all other variables constant.

5. Can you give an example of finding a partial derivative?

Sure, let's say we have a function z = 3x^2y + 5xy^2. To find the partial derivative of z with respect to x, we treat y as a constant and differentiate the function with respect to x, giving us ∂z/∂x = 6xy + 5y^2. Similarly, to find the partial derivative of z with respect to y, we treat x as a constant and differentiate the function with respect to y, giving us ∂z/∂y = 3x^2 + 10xy. These partial derivatives tell us how z changes as x and y change, respectively, while holding the other variable constant.

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