Solving Basic Inequality: r1, r2, r3, r4 >0 & t1, t2, t3, t4 in [0, 2π)

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In summary, for any given values of r1, r2, r3, r4 and t1, t2, t3, t4, if the given inequality holds true for all values of t in the range [0, 2pi), then it is possible that r1 + r2 is not always less than r3 + r4. This is because if t-t1 and t-t2 are equal to 2pi, pi, or 0, then r1 and r2 can be anything and do not have to satisfy the inequality. Therefore, the given statement is not always true.
  • #1
forumfann
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Could anyone help me on this,
Is it true that for any given [itex]r_{1},r_{2},r_{3},r_{4}>0[/itex] and [itex]t_{1},t_{2},t_{3},t_{4}\in[0,2\pi)[/itex] if
[itex]r_{1}\left|\cos(t-t_{1})\right|+r_{2}\left|\cos(t-t_{2})\right|[/itex][itex]<r_{3}\left|\cos(t-t_{3})\right|+r_{4}\left|\cos(t-t_{4})\right|[/itex] for all [itex]t\in[0,2\pi)[/itex]
then [itex]r_{1}+r_{2}<r_{3}+r_{4}[/itex] ?

By the way, this is not a homework problem.

Any help will be highly appreciated!
 
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  • #2
forumfann said:
Could anyone help me on this,
Is it true that for any given [itex]r_{1},r_{2},r_{3},r_{4}>0[/itex] and [itex]t_{1},t_{2},t_{3},t_{4}\in[0,2\pi)[/itex] if
[itex]r_{1}\left|\cos(t-t_{1})\right|+r_{2}\left|\cos(t-t_{2})\right|[/itex][itex]<r_{3}\left|\cos(t-t_{3})\right|+r_{4}\left|\cos(t-t_{4})\right|[/itex] for all [itex]t\in[0,2\pi)[/itex]
then [itex]r_{1}+r_{2}<r_{3}+r_{4}[/itex] ?

By the way, this is not a homework problem.

Any help will be highly appreciated!

I may be incorrect, but I would say this would be false.

What if [tex]t-t_{1}[/tex] and [tex]t-t_{2}[/tex] are equal to [tex]2pi[/tex], [tex]pi[/tex] or [tex]0[/tex]? Then r1 and r2 can be anything, and don't have to satisfy the inequality!
 
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  • #3
If [itex]t-t_{1}[/itex] and [itex]t-t_{2}[/itex] are equal to [itex]2pi[/itex], [itex]pi[/itex] or [itex]0[/itex] ? Then the left hand side of the given inequality is [itex]r_1+r_2[/itex], which is less than the right hand side of the given inequality that is not larger than [itex]r_3+r_4[/itex]. Thus the claim is automatically true.

I think what makes it possible to be true is "for all [itex]x\in[0,2\pi][/itex]", but I don't know how to prove it.

Again, any suggestion that can lead to the answer to the question will be greatly appreciated.
 
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  • #4
Ahh, sorry, I meant pi/2, meaning cos(pi/2) = 0. Then they do not have to be < r3+ r4

Besides, say they are both equal to pi anyway. Then, r1 and r2 can be greater than r3 and r4, yet still hold true in the first inequaility but not the second.
 

FAQ: Solving Basic Inequality: r1, r2, r3, r4 >0 & t1, t2, t3, t4 in [0, 2π)

What is the definition of an inequality?

An inequality is a mathematical statement that compares two quantities, typically using symbols such as <, >, ≤, or ≥. It indicates that one quantity is larger or smaller than the other.

What is the significance of r1, r2, r3, r4, t1, t2, t3, t4 in solving basic inequality?

In solving basic inequalities, r1, r2, r3, r4 represent positive numbers, while t1, t2, t3, t4 represent values within the range of 0 to 2π. These values are important in determining the boundaries and constraints of the inequality.

What are the steps involved in solving a basic inequality?

The steps involved in solving a basic inequality include identifying the variables, simplifying the expression, isolating the variable on one side of the inequality symbol, and determining the correct direction of the inequality. It is also important to consider any given boundaries or constraints.

What are the common mistakes made when solving basic inequalities?

Some common mistakes made when solving basic inequalities include incorrectly identifying the variables, forgetting to flip the inequality symbol when multiplying or dividing by a negative number, and not considering the given boundaries or constraints.

How can inequalities be applied in real-life situations?

Inequalities can be applied in various real-life situations, such as budgeting, solving optimization problems, and analyzing socioeconomic data. They can also be used in decision-making processes, such as determining the most cost-effective option or the maximum number of items that can be produced within a given budget.

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