Natural Logarithm of Convolution

AI Thread Summary
The discussion centers on the application of logarithmic properties to the convolution of two functions, specifically questioning if ln(x*y) equals ln(x) + ln(y). It clarifies that convolution operates on functions rather than simple variables, resulting in another function. Consequently, the logarithmic properties do not hold true for convolutions, as they involve integrals rather than direct multiplication of numbers. The initial query reflects a misunderstanding of the mathematical operations involved. Ultimately, the properties of logarithms do not apply to convolutions of functions.
tramar
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If I have a convolution of two variables, say x * y, and I take the natural logarithm of this operation, ln(x*y), do the same properties of logarithms apply?

So, does ln(x*y) = ln(x)+ln(y) ?
 
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In your notation, what are x, y, x*y and ln? Usually ln(x) is the natural log of a number (x).
 
tramar said:
If I have a convolution of two variables, say x * y, and I take the natural logarithm of this operation, ln(x*y), do the same properties of logarithms apply?

So, does ln(x*y) = ln(x)+ln(y) ?

I'm afraid your question doesn't make any sense as stated. The convolution operation is an operation on two functions, not two variables, and it gives another function. And if you ask the same question for functions, the answer is no.
 
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I realize that now since a convolution is an integral... just wishful thinking on my part I guess.
 
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