Homework Help Signals and Systems

AI Thread Summary
The discussion revolves around a homework problem in signals and systems, where the original poster doubts their conclusion that all answers are false due to infinity. Participants emphasize the importance of understanding the concept of infinity in mathematical contexts, noting that signals can approach infinity without actually reaching it. They highlight the significance of double-checking work to ensure accuracy in solutions. Additionally, the conversation touches on the need for clear communication in problem-solving, suggesting the use of proper notation like TeX instead of casual images. Ultimately, a critical and analytical approach is essential for accurately interpreting signals and systems.
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I was trying to solve out this problem for homework and I came to the answer of all of them being false because they all went to infinity...but I have a gut feeling that this is wrong.
 
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mite help if you posted it in the homework section :)
it may get some responses

cheers
Dave
 
this signal is neither power signal nor energy signal !
 
and use TeX for goodness sake. what is this with all these new persons that just whip their iPhone out, snap a pic of their notes or of the white board and post that?

what should i do, write my answer on a piece of paper and put that up as a jpg in response?
 


First of all, it is important to note that the concept of infinity can be quite tricky to understand and apply in mathematics. It is possible that your gut feeling is correct, and there may be a mistake in your solution. It is always a good idea to double check your work and make sure that your answer makes sense.

In the context of signals and systems, infinity usually refers to the concept of unboundedness. This means that a signal or system can grow or decrease without limit. It is important to consider the context in which infinity is being used in a problem.

For example, if you are dealing with a continuous-time signal, it is possible for the signal to approach infinity but never actually reach it. This is known as a limit and is commonly used in calculus. On the other hand, in a discrete-time system, a signal can actually reach infinity if the values keep increasing without bound.

Another important consideration is the behavior of the signal or system as time approaches infinity. In some cases, the signal may approach a finite value as time goes on, even if it initially appears to be going to infinity. This is known as convergence and is an important concept in the study of signals and systems.

In conclusion, while it is possible for signals and systems to exhibit behaviors that approach infinity, it is important to carefully consider the context in which infinity is being used and to double check your work to ensure that your solution is accurate. As a scientist, it is important to approach problems with a critical and analytical mindset to avoid making mistakes and to fully understand the concepts at hand.
 
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