Interrelationship between power of 2 and integer length

In summary, the conversation discussed the equation that describes the relationship between the number of digits and the power of 2, as well as the pattern shown in a plotted graph. It was determined that the length of a number in base 10 can be calculated using the formula: ##\lfloor\log_{10}(x)\rfloor+1##, and for powers of 2, it can be approximated by ##n\log_{10}(2) + 1##. It was also noted that increasing the number of digits of a number results in an exponential increase, while increasing the exponent of a number also results in an exponential increase. Lastly, the conversation touched on the idea of a constant ratio between the two, with
  • #1
Nile3
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Hello, I was wondering if someone knew the equation which describe the exact or statistical relation between the length(# of digits) of a power of 2 based on it's power.

I plotted 200 of the powers in mathematica and I get a fairly straightforward staircase plot. I'm just wondering what's the rule here.

4.jpg
 
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  • #2
The length of an integer ##x## in basis 10 is given by ##\lfloor\log_{10}(x)\rfloor+1##, where the strange brackets denote the largest integer smaller or equal than ##x##. So if ##x=2^n##, then the length is

[tex]\lfloor \log_{10}(2^n)\rfloor + 1 \sim n\log_{10}(2) + 1[/tex]
 
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  • #3
If the number of digits of a number increases linearly, the number increases exponentially; if the exponent of a number increases linearly, the number increases exponentially. Basically you've plotted the implicit function 10^y = 2^x.

y/x = b is a constant because the equation 2 = 10^b has one root. To estimate b consider 2^10 = 1024 and 10^3 = 1000.
 
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  • #4
n * (memorize 0.3 as log[10,2]) +1, excellent, thanks!
 
  • #5


I can provide some insight into the interrelationship between the power of 2 and the integer length. The equation that describes this relationship is as follows:

Integer length = log(base 10) (power of 2)

In other words, the integer length is equal to the logarithm of the power of 2, using a base of 10. This means that as the power of 2 increases, the integer length also increases, but at a slower rate. This is why you observed a staircase plot in your Mathematica graph.

This relationship is known as a logarithmic relationship, where one variable (in this case, the power of 2) increases exponentially while the other variable (integer length) increases at a slower rate. It is a common relationship in many scientific fields, and is often used to describe the growth of phenomena.

I hope this helps to answer your question and provide some context for the relationship between power of 2 and integer length.
 

1. What is the relationship between the power of 2 and integer length?

The power of 2 and integer length have a direct relationship, as the power of 2 refers to the exponent in the expression 2^n, where n is the integer length. In other words, the power of 2 represents the number of times 2 is multiplied by itself to get a specific integer length.

2. How does the power of 2 affect the integer length?

The power of 2 directly affects the integer length, as increasing the power of 2 by 1 will result in doubling the integer length. For example, if the power of 2 is 3, the integer length will be 8 (2^3 = 8), and if the power of 2 is 4, the integer length will be 16 (2^4 = 16).

3. What is the significance of the power of 2 in computer science?

The power of 2 has significant importance in computer science, as it is used for data storage and memory allocation. Many computer systems and algorithms are designed to work efficiently with numbers that are powers of 2.

4. Can any integer length be expressed as a power of 2?

No, not all integer lengths can be expressed as a power of 2. Only numbers that can be divided evenly by 2 can be expressed as a power of 2. For example, 3 is an integer length that cannot be expressed as a power of 2, as it cannot be divided evenly by 2.

5. How is the concept of the power of 2 used in binary code?

In binary code, each digit (or bit) represents a power of 2. The first position represents 2^0, the second position represents 2^1, the third position represents 2^2, and so on. This allows for efficient storage and processing of data in computer systems.

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