Change in radiation with temperature

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Homework Help Overview

The discussion revolves around the change in heat energy radiated by a hot body when its temperature is increased by 5%. The problem is situated within the context of thermodynamics and radiation laws, specifically focusing on the Stefan-Boltzmann law.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the relationship between temperature changes and radiation output, questioning the validity of using differential approximations versus exact ratios. There is discussion on the implications of error margins in calculations and how they affect the results.

Discussion Status

The discussion is active with participants sharing different perspectives on the methods of calculating changes in radiation. Some suggest using ratios of initial and final values instead of differential changes, while others provide examples from related physics concepts to support their reasoning. There is no explicit consensus, but various approaches are being examined.

Contextual Notes

Participants note that the error introduced by approximations may become significant with larger temperature changes, indicating a potential limitation in the methods discussed. The original poster's assumptions and the specific conditions of the problem are also under scrutiny.

Krushnaraj Pandya
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Homework Statement


What would be the increment in heat energy radiated when the temperature of a hot body is raised by 5%?

Homework Equations


P=σεAT^4

The Attempt at a Solution


dP/P=4dT/T dT=5 when T is 100 initially. Let's assume P was also 100 initially for convenience, therefore dP should be 20, but the answer given is 21.55%, where am I wrong and what's the correct way to approach this?
 
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You could just make the ratio of the initial and final values, since the differential change is not asked.

Edit: Shouldn't it read ##\frac{P+dP}{P}=\left(\frac{T+dT}{T}\right)^4##?
 
Last edited:
stockzahn said:
You could just make the ratio of the initial and final values, since the differential change is not asked.

Edit: Shouldn't it read ##\frac{P+dP}{P}=\left(\frac{T+dT}{T}\right)^4##?
I got what you wrote, but using errors method can't we write dP/P = 4dT/T as well. For example in measuring the change in time period of pendulum on changing length. Since T∝L^0.5 we write ΔT/T = ΔL/2L
 
Krushnaraj Pandya said:
I got what you wrote, but using errors method can't we write dP/P = 4dT/T as well. For example in measuring the change in time period of pendulum on changing length. Since T∝L^0.5 we write ΔT/T = ΔL/2L

Is suppose an error af 5 % cannot be considered as small anymore. Try it with smaller errors (like ##10^{-5}##), then your method works very well.
 
stockzahn said:
Is suppose an error af 5 % cannot be considered as small anymore. Try it with smaller errors (like ##10^{-5}##), then your method works very well.
So this method should give me an approximation of the error in any case, correct? (Time is invaluable in multiple choice exams)
While taking the ratio gives the exact values
 
Krushnaraj Pandya said:
So this method should give me an approximation of the error in any case, correct? (Time is invaluable in multiple choice exams)
While taking the ratio gives the exact values

But the approximation gets worse with increasing error, in your case (fourth power):

error - exact - approximation
##10^{-6}## - 0.000004 - 0.000004
##10^{-5}## - 0.000040001 - 0.00004
##10^{-4}## - 0.00040006 - 0.0004
##10^{-3}## - 0.004006004 - 0.004
##10^{-2}## - 0.04060401 - 0.04
##5\cdot10^{-2}## - 0.21550625 - 0.2

It depends on your application if the approximation is sufficient
 
stockzahn said:
But the approximation gets worse with increasing error, in your case (fourth power):

error - exact - approximation
##10^{-6}## - 0.000004 - 0.000004
##10^{-5}## - 0.000040001 - 0.00004
##10^{-4}## - 0.00040006 - 0.0004
##10^{-3}## - 0.004006004 - 0.004
##10^{-2}## - 0.04060401 - 0.04
##5\cdot10^{-2}## - 0.21550625 - 0.2

It depends on your application if the approximation is sufficient
Oh, alright. Thank you very much
 

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