Question
Question: How do you approximate \({{\log }_{5}}50\) given \({{\log }_{5}}2=0.4307\) and \({{\log }_{5}}3=0.68...
How do you approximate log550 given log52=0.4307 and log53=0.6826?
Solution
We use the properties of logarithm to solve this problem. An important rule we will be using is logna=lognloga. Another rule we will be using is logan=nloga. Also, we will use logamn=logam+logan.
Complete step by step solution:
Let us consider the logarithmic value we are asked to find, log550
Also, we are given with the values, log52=0.4307 and log53=0.6826.
We can solve this problem without using the value log53=0.6826.
That is, we can find the value of log550 only with the help of log52.
We know that 50=2×25.
So, we can write log550=log52×25.
Now, we are using the property given as logamn=logam+logan.
We are going to apply this in the above written equation.
Then we get the following,
⇒log550=log52×25=log52+log525.
Now we will apply the value which we are given with in the above obtained equation.
That is, log52=0.4307.
Then we will get,
⇒log550=log52×25=0.4307+log525.
Now, in the above equation, we do not have what the value of log525 is.
We know that 25=52.
So, we will get, log525=log552.
Let us apply this in our equation, we get
⇒log550=log52×25=0.4307+log552.
Now, we will use the property of logarithm lognam=mlogna.
When we use this property, we will get log552=2log55.
Let us substitute this value in the equation we obtained.
Then we will get,
⇒log550=0.4307+2log55.
And we will use a rule given as logmn=logmlogn in the equation.
Thus, we will get log55=log5log5
Now, we are going to apply this in our equation.
We will get,
⇒log550=0.4307+log52log5.
We are cancelling log5,
⇒log550=0.4307+2.
So,
⇒log550=2.4307.
Hence, the actual value of log550=2.4307.
Note: What we found is the exact value of log550. By using both the logarithmic values given we can approximate log550 to 2.4054.
Consider 50→3×16=3×24=48.
So, we get log550≈log53+log524=log53+4log52.
Applying the values, ⇒log550≈log53+4log52=0.6826+4×0.4307=0.6826+1.7228=2.4054.
The error is 2.4307−2.4054=0.0253.