Proofs of Convolution Properties: Step-by-Step Guide

In summary, the conversation is about the convolution properties and the speaker is asking for help with understanding and proving them. They also clarify that by * they mean convolution and that the letters represent functions and constants. They also express confusion about the difference between * and product.
  • #1
ky2168
3
0
I know this is elementary but I'm having trouble with proofs of some of the convolution properties:

1. f * (g * h) = (f * g) * h
2. (cf) * g = c(f * g) = f * (cg)

Please show me the proofs step by step or lead me to a link where the detailed proofs are displayed.

Sorry for such elementary questions. I don't know why I'm not seeing it.
 
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  • #2
What does each letter represent? How is a * b different from ab?
 
  • #3
Reply

By * I mean convolution.

I would think most people take

ab

as product while

a * b

to be convolution.
 
  • #4
f and g are obviously functions and c a constant.
 

FAQ: Proofs of Convolution Properties: Step-by-Step Guide

What are proofs of convolution properties?

Proofs of convolution properties are mathematical demonstrations that show the validity of various properties associated with the convolution operation. These proofs are used to understand the behavior of convolution and its applications in various fields such as signal processing, image processing, and statistics.

Why are proofs of convolution properties important?

Proofs of convolution properties are important because they provide a rigorous and formal way to understand the properties of convolution. By proving these properties, we can confidently use convolution in various applications and make accurate predictions about its behavior. Additionally, these proofs help us gain a deeper understanding of convolution and its relationship to other mathematical operations.

What are some common convolution properties that are proven?

Some common convolution properties that are proven include the commutative property, associative property, distributive property, and the shifting property. These properties help us manipulate and simplify convolution expressions, making it easier to solve complex problems.

How can I learn to prove convolution properties?

To learn how to prove convolution properties, it is important to have a strong understanding of basic mathematical concepts such as algebra, calculus, and linear algebra. It is also helpful to have a good understanding of the convolution operation and its properties. There are many online resources, textbooks, and courses available that can guide you through the process of proving convolution properties step-by-step.

How do convolution properties relate to real-life applications?

Convolution properties have various real-life applications in fields such as signal and image processing, digital filtering, and probability theory. These properties help us understand how signals and images are processed, how filters affect signals, and how probability distributions can be convolved to model more complex systems. By understanding convolution properties, we can make more accurate predictions and draw meaningful conclusions from real-life data and signals.

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