Probability of Satisfying Floor Inequality with Random Real Numbers

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In summary, the "Probability of Satisfying Floor Inequality with Random Real Numbers" refers to the likelihood of a set of randomly chosen real numbers satisfying a given floor inequality. This probability can be calculated using various mathematical methods and can provide insights into the distribution of the real numbers. It is calculated by determining the range of values for the real numbers, finding the number of values that satisfy the floor inequality, and dividing this number by the total number of possible values. A floor inequality is a mathematical expression that compares a variable to its greatest integer value. The probability of satisfying floor inequality can change depending on various factors such as the range of values, the specific floor inequality, and the number and distribution of real numbers. This probability is significant as
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anemone
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Here is this week's POTW:

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Two real numbers $a$ and $b$ are chosen at random. Find the probability that they satisfy \(\displaystyle \left\lfloor{a+b}\right\rfloor \le a+b - \dfrac{1}{4}\).

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Congratulations to kaliprasad for his correct answer!(Cool)

Solution from other:
Let \(\displaystyle a=\left\lfloor{a}\right\rfloor+x\) and \(\displaystyle b=\left\lfloor{b}\right\rfloor+y\) where \(\displaystyle x,y\in [0,\,1)\). So we have

\(\displaystyle \begin{align*}a+b&=\left\lfloor{a+b}\right\rfloor+x+y\\\left\lfloor{a+b}\right\rfloor&=a+b-(x+y)\\x+y&=a+b-\left\lfloor{a+b}\right\rfloor\\\therefore\dfrac{1}{4}&\le x+y \end{align*}\)

\(\displaystyle \implies \dfrac{1}{4}\le x+y <1 \,\,\text{and}\,\,\dfrac{5}{4}\le x+y<2\) subject to \(\displaystyle x,y\in [0,\,1)\)

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The first inequality has the probability of \(\displaystyle 1(1)-\frac{1}{2}\left(\frac{1}{4}\right)\left(\frac{1}{4}\right)-\frac{1}{2}=\frac{15}{32}\).

The second inequality has the probability of \(\displaystyle \frac{1}{2}\left(\frac{3}{4}\right)\left(\frac{3}{4}\right)=\frac{9}{32}\).

The required probability is hence \(\displaystyle \frac{15}{32}+\frac{9}{32}=\frac{3}{4}\).
 

Related to Probability of Satisfying Floor Inequality with Random Real Numbers

1. What is the "Probability of Satisfying Floor Inequality with Random Real Numbers"?

The "Probability of Satisfying Floor Inequality with Random Real Numbers" refers to the likelihood of a set of randomly chosen real numbers satisfying a given floor inequality. This probability can be calculated using various mathematical methods and can provide insights into the distribution of the real numbers.

2. How is the probability of satisfying floor inequality calculated?

The probability of satisfying floor inequality can be calculated by first determining the range of values for the real numbers, then finding the number of values that satisfy the floor inequality, and finally dividing this number by the total number of possible values. This can be expressed as a percentage or a decimal number.

3. What is a floor inequality?

A floor inequality is a mathematical expression that compares a variable to its greatest integer value. For example, x ≥ ⌊x⌋, where ⌊x⌋ represents the greatest integer less than or equal to x. Floor inequalities are often used to describe the properties of real numbers and can be used to solve various mathematical problems.

4. Can the probability of satisfying floor inequality change?

Yes, the probability of satisfying floor inequality can change depending on the range of values for the real numbers and the specific floor inequality being considered. It can also be affected by the number of real numbers being considered and the distribution of these numbers. Therefore, it is important to carefully define the parameters and assumptions when calculating the probability.

5. What is the significance of the probability of satisfying floor inequality?

The probability of satisfying floor inequality can provide insights into the distribution and properties of real numbers. It can also be used to solve mathematical problems and make predictions about the likelihood of certain events occurring. Additionally, it can help in understanding the behavior of random variables and their relationship to floor inequalities.

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