Strictly Increasing Function
A strictly increasing function is one where f(x+1) > f(x) for all x in the domain. That is, the function output increases as the input increases.
Some examples of strictly increasing functions:
- Linear: f(x) = x
- Quadratic: f(x) = x^2
- Exponential: f(x) = 2^x
Java example:
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C++ example:
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Python example:
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Key properties:
- Output always increases with increased input
- No flat or decreasing portions
- Useful for modeling growth
Strictly increasing functions appear in physics, statistics, economics to model quantities that grow consistently.
In mathematics, a function ( f(x) ) is said to be “strictly increasing” if for every ( x_1 < x_2 ), ( f(x_1) < f(x_2) ). In simpler terms, as you move from left to right on the graph, the function always rises; it never stays flat or decreases. In programming, when dealing with sequences or arrays, a strictly increasing array is an array in which each element is larger than the one before it.
In a strictly increasing sequence, no duplicates are allowed. Each element must be larger than the preceding element. If a sequence has duplicates, it can’t be classified as strictly increasing.
If duplicates are allowed, the sequence would be considered monotonically increasing, not strictly increasing. In a monotonically increasing sequence, each element is greater than or equal to the preceding element.
Java
Here’s how you can check if an array is strictly increasing in Java:
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C++
In C++, you can use the following code to check if a vector is strictly increasing:
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Python
In Python, you can check if a list is strictly increasing like this:
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In each of these code examples, we start iterating from the second element and compare it with the previous one. If we find any element that is smaller than or equal to its predecessor, we return false; otherwise, we return true.