Finding Gradient of Temperature at (x,y,z)

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In summary, the temperature T of a gaseous nebula is inversely proportional to the distance from the origin, with a constant K. Given that T(x,y,z) = 100 when the distance from the origin is 1 lightyear, the gradient of T at (x,y,z) is T_x = -2x / (x^2 + y^2 + z^2)^2, T_y = -2y / (x^2 + y^2 + z^2)^2, and T_z = -2z / (x^2 + y^2 + z^2)^2.
  • #1
UrbanXrisis
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Suppose distances are measured in lightyears and that the temperature T of a gaseous nebula is inversely proportional to the distance from a fixed point, which is the origin. The temperature 1 lightyear from the origin is 100 degrees celsius. Find the gradient of T at (x,y,z).

here's what I have:

[tex]d=\sqrt{x^2+y^2+z^2}=1[/tex]
[tex]d=x^2+y^2+z^2=1[/tex]
[tex]T=\frac{1}{x^2+y^2+z^2}[/tex]
so the gradient is:
[tex]T_x=-\frac{2x}{(x^2+y^2+z^2)^2}[/tex]
[tex]T_y=-\frac{2y}{(x^2+y^2+z^2)^2}[/tex]
[tex]T_z=-\frac{2z}{(x^2+y^2+z^2)^2}[/tex]

but this is not right, i where did I go wrong?
 
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  • #2
First of all, read your info properly!
You are told that T(x,y,z) is inversely proportional to the distance from the origin. That means there exist a constant K, so that we have:
[tex]T(x,y,z)=\frac{K}{\sqrt{x^{2}+y^{2}+z^{2}}}[/tex]
Furthermore, you have the condition:
[tex]T(x,y,z)=100, \sqrt{x^{2}+y^{2}+z^{2}}=1[/tex]
Can you determine K from this?
 
  • #3
The first equation you have for distance is correct but I don't see why you are setting it to 1. Then you squared it but didn't write d^2...

The distance from the origin is sqrt(x^2 + y^2 + z^2). T is inversely proportional to that distance so T(x, y, z) = k/sqrt(x^2 + y^2 + z^2) where k is some constant. You know that T(x, y, z) = 100 when sqrt(x^2 + y^2 + z^2) = 1, so what is k? Then you can find the gradient.
 
  • #4
Do you need a confirmation on that question?
 
  • #5
nope, i got it! thanks!
 

FAQ: Finding Gradient of Temperature at (x,y,z)

What is the gradient of temperature?

The gradient of temperature is a measure of the rate at which temperature changes in a particular direction. It is represented by a vector and shows the direction of maximum change in temperature.

How is the gradient of temperature calculated?

The gradient of temperature is calculated by taking the partial derivatives of temperature with respect to each variable (x, y, and z) and combining them into a vector. The formula for calculating the gradient is ∇T = (∂T/∂x) i + (∂T/∂y) j + (∂T/∂z) k, where i, j, and k are unit vectors in the x, y, and z directions, respectively.

Why is finding the gradient of temperature important?

The gradient of temperature is important in many scientific fields, such as meteorology, climatology, and materials science. It helps us understand how temperature varies in space and can be used to predict changes in temperature over time. It also provides valuable information for studying heat transfer and energy flow.

Can the gradient of temperature be negative?

Yes, the gradient of temperature can be negative. A negative gradient indicates that temperature is decreasing in the direction of the vector. This can happen, for example, when moving from a warmer region to a cooler one.

How is the gradient of temperature visualized?

The gradient of temperature can be visualized using contour maps or vector fields. Contour maps show lines of constant temperature and the direction of steepest temperature change is perpendicular to the contour lines. Vector fields use arrows to represent the direction and magnitude of the gradient at different points in space.

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