Arrange t_1, t_2, t_3 and t_4 in decreasing order

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In summary, arranging t_1, t_2, t_3 and t_4 in decreasing order is done to organize data in a more meaningful way, making it easier to analyze and compare values. The order is determined by numerical values, with the highest value placed first. While they can be arranged in any other order, arranging them in decreasing order is a common and useful method. If they have the same value, they can be arranged in any order without affecting the result. This method is not necessary for all types of analysis but can be helpful for identifying outliers or determining top and bottom performers in a dataset.
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anemone
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Let $0<x<45^{\circ}$. Arrange

\(\displaystyle t_1=(\tan x)^{\tan x}\), \(\displaystyle t_2=(\tan x)^{\cot x}\), \(\displaystyle t_3=(\cot x)^{\tan x}\), and \(\displaystyle t_4=(\cot x)^{\cot x}\)

in decreasing order.
 
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If $0<x<45º$,
$$0<\tan x <1\text{ and }0<\tan x<\cot x,\text{ so }t_2=(\tan x)^{\cot x}<(\tan x)^{\tan x}=t_1$$
$$1<\cot x,\text{ so }t_3=(\cot x)^{\tan x}<(\cot x)^{\cot x}=t_4.$$
$$0<\tan x<\cot x,\text{ so }t_1=(\tan x)^{\tan x}<(\cot x)^{\tan x}=t_3.$$
We conclude, $t_2<t_1<t_3<t_4.$
 
  • #3
Fernando Revilla said:
If $0<x<45º$,
$$0<\tan x <1\text{ and }0<\tan x<\cot x,\text{ so }t_2=(\tan x)^{\cot x}<(\tan x)^{\tan x}=t_1$$
$$1<\cot x,\text{ so }t_3=(\cot x)^{\tan x}<(\cot x)^{\cot x}=t_4.$$
$$0<\tan x<\cot x,\text{ so }t_1=(\tan x)^{\tan x}<(\cot x)^{\tan x}=t_3.$$
We conclude, $t_2<t_1<t_3<t_4.$

Thanks for participating, Fernando Revilla and you got it absolutely correct, of course! Well done!(Clapping):)
 

FAQ: Arrange t_1, t_2, t_3 and t_4 in decreasing order

What is the purpose of arranging t_1, t_2, t_3 and t_4 in decreasing order?

The purpose of arranging t_1, t_2, t_3 and t_4 in decreasing order is to organize the data in a more meaningful way. This allows for easier analysis and comparison of the values. It also helps to identify the highest and lowest values in the set.

How do you determine the order of t_1, t_2, t_3 and t_4?

The order of t_1, t_2, t_3 and t_4 is determined by their numerical values. The highest value should be placed first, followed by the second highest, and so on. This creates a descending order from highest to lowest.

Can t_1, t_2, t_3 and t_4 be arranged in any other order?

Yes, t_1, t_2, t_3 and t_4 can be arranged in any order, including ascending or random order. However, arranging them in decreasing order is a common and useful way to organize the data.

What if t_1, t_2, t_3 and t_4 have the same value?

If t_1, t_2, t_3 and t_4 have the same value, they can be arranged in any order without affecting the overall result. It is up to the researcher to decide which order is most suitable for their analysis.

Is arranging data in decreasing order necessary for all types of analysis?

No, arranging data in decreasing order is not necessary for all types of analysis. However, it can be a helpful way to organize data for certain types of analysis, such as identifying outliers or determining the top or bottom performers in a dataset.

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