Partial Derivative: Finding t with Respect to x | Step-by-Step Guide

In summary, the partial derivative of t(x,y) with respect to x is found by differentiating the expression as in 1-variable calculus; just remember that y is to be considered a constant.
  • #1
galipop
51
0
Hi All,

Can someone refresh my memory and show me how to find the following partial derivate:

[tex]t=\frac{x}{\sqrt{x^2+y^2}}[/tex]

with respect to x.

Thanks
 
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  • #2
The partial derivative of t(x,y) with respect to x is found by differentiating the expression as in 1-variable calculus; just remember that y is to be considered a constant. For example:
[tex]t(x,y)=xy\rightarrow\frac{\partial{t}}{\partial{x}}=y[/tex]
 
  • #3
Yeah I understand the concept. It's just that I've forgotten how to find the derivative of a quotient. The textbook that I have doesn't explain it clearly.
 
  • #4
The simplest way is to solve for the derivative of t w.r. to x by differentiating the equivalent equation with respect to x:
[tex]\sqrt{x^{2}+y^{2}}t(x,y)=x[/tex]

Another easy way is (I'll give it for one variable):
[tex]t(x)=\frac{f(x)}{g(x)}[/tex]
Use the product rule and the chain rule:
[tex]\frac{dt}{dx}=\frac{f'(x)}{g(x)}-\frac{f(x)}{g^{2}(x)}*g'(x)[/tex]
 
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  • #5
I remember the quotient rule as "Lo d Hi minus Hi d Lo over Lo squared," or:

[tex]\frac{d}{dx}\,\frac{f(x)}{g(x)}=\frac{gf' - fg'}{g^2}[/tex]
 
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  • #6
Personally I generally use:
[tex]\frac{a}{b}=a (b)^{-1}[/tex]
so in your case
[tex]\frac{x}{\sqrt{x^2+y^2}}=x (x^2+y^2)^{-\frac{1}{2}}[/tex]
 
  • #7
galipop said:
Yeah I understand the concept. It's just that I've forgotten how to find the derivative of a quotient. The textbook that I have doesn't explain it clearly.

When I forget how do calculate a particular derivate I always derive it by using the definition of the derivate, i.e.
[tex]\frac{d}{dx}f(x) = \lim_{h \to \infty} \frac{f(x+h)-f(x)}{h}[/tex]​
e(ho0n3
 
  • #8
NateTG said:
Personally I generally use:
[tex]\frac{a}{b}=a (b)^{-1}[/tex]
so in your case
[tex]\frac{x}{\sqrt{x^2+y^2}}=x (x^2+y^2)^{-\frac{1}{2}}[/tex]

How do you proceed using this form?
 
  • #9
Product rule and power rule.

f'*g + g'*f, where f = x and g = (x^2 + y^2)^(-1/2), so f' = 1 and g' = -x(x^2 + y^2)^(-3/2)

And e(ho0n3, don't you mean limit as h goes to 0?

cookiemonster
 
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  • #10
cookiemonster said:
Product rule and power rule.

f'*g + g'*f, where f = x and g = (x^2 + y^2)^(-1/2), so f' = 1 and g' = -x(x^2 + y^2)^(-3/2)

And e(ho0n3, don't you mean limit as h goes to 0?

cookiemonster

Thanks Cookiemonster.
 

FAQ: Partial Derivative: Finding t with Respect to x | Step-by-Step Guide

What is a partial derivative?

A partial derivative is a mathematical concept used in multivariable calculus to calculate the rate of change of a function with respect to one of its variables while holding the other variables constant.

Why is finding t with respect to x important?

In many scientific and mathematical fields, it is necessary to understand how a particular variable affects the overall function. Finding t with respect to x allows us to analyze the impact of changing x on the function.

What is the process for finding t with respect to x?

To find t with respect to x, we use the partial derivative formula which involves taking the derivative of the function with respect to x while treating all other variables as constants. This process is repeated for each variable that we want to find the partial derivative for.

Can you provide a step-by-step guide for finding t with respect to x?

Sure! The first step is to identify the function and the variable that we want to find the partial derivative for. Then, we use the partial derivative formula to find the derivative of the function with respect to that variable. Next, we substitute all other variables with their respective values. Finally, we simplify the equation to get the final answer.

What are some real-world applications of finding t with respect to x?

Finding t with respect to x is commonly used in physics, engineering, and economics to analyze the relationship between two variables. It is also used in optimization problems to find the maximum or minimum value of a function.

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