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The answer depends on whether the x is in subscript font (most likely) or not.
If there is no suffix after log, it is assumed to be 10. So logA, = b if A = 10^b.
If the x is in suffix form, then logxA is the log of A to the base x. In this case, logxA = b if A = x^b.
Then logxA = logA/logx - both to base 10.
If the x is not a suffix then logxA = log(x*A) = logx + logA
This browser is nearly totally useless for mathematics and despite our complaints over several months, it does not look as if it will be fixed in a hurry.
logxA means the logarithm of A, to the basis x. When you only write log A, the base is usually implied - it might be base 10, for example, but you may need to guess this based on the context.
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EzraThe answer depends on whether the x is in subscript font (most likely) or not.
If there is no suffix after log, it is assumed to be 10. So logA, = b if A = 10^b.
If the x is in suffix form, then logxA is the log of A to the base x. In this case, logxA = b if A = x^b.
Then logxA = logA/logx - both to base 10.
If the x is not a suffix then logxA = log(x*A) = logx + logA
This browser is nearly totally useless for mathematics and despite our complaints over several months, it does not look as if it will be fixed in a hurry.
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How to change the base of a logarithm?
You can use the change of base formula which is: logxb logab=--------- logxa
Can it be possible limit of logarithmic functions equal to logarithmic function of limit?
Yes it is possible.If limit(f) > 0 then limit(loga(f)) = loga(limit(f)).All logarithmic functions loga(x) are continuous as long as x > 0. Where-ever a function is continuous, you can make that kind of swap.
What is he different between b horizon than c or a?
its between the letters
What is a ratio between two different quantities?
The ratio between two different quantities is the rate.Usually, the second unit is a measure of time.
The usual sampling distributionof the difference between means is a what?
There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.
