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In mathematics, a pre-image refers to the input value(s) that map to a specific output value when a function is applied. 본문
In mathematics, a pre-image refers to the input value(s) that map to a specific output value when a function is applied.
yjyuwisely 2025. 3. 25. 04:00Claude 3.7 Sonnet Think
In mathematics, a pre-image refers to the input value(s) that map to a specific output value when a function is applied.
More formally:
- If f: X → Y is a function and y ∈ Y is an element in the codomain
- The pre-image of y is the set of all elements x ∈ X such that f(x) = y
For a one-to-one (injective) function, each element in the codomain must have at most one pre-image in the domain. This means:
- If f(x₁) = f(x₂), then x₁ = x₂
- Or equivalently: different inputs must produce different outputs
In your example with f(x, y) = (sin(x), cos(y)):
- The element (0, 1) in the codomain has multiple pre-images
- Both (0, 0) and (2π, 0) in the domain map to (0, 1)
- Therefore, (0, 1) has at least two pre-images: (0, 0) and (2π, 0)
This violates the one-to-one property, which is why f is not one-to-one.
The pre-image concept is essential for understanding key function properties like injectivity (one-to-one) and surjectivity (onto), as well as for defining the inverse of a function.
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When you're talking about a specific function f(x), the image of a set S is just the result of applying f to everything in S. For example, if f(x) = x2 and S is the interval [0,2], you can say "the image of S under f is [0,4]", since squaring each real number between 0 and 2 will result in every real number between 0 and 4.
The preimage is just going in the other direction: given a set T, what input values, when plugged into f, produce outputs in T? For example, the preimage of [0,4] under f(x) = x2 is [-2,2], since squaring anything between -2 and +2 will give a result between 0 and 4 but squaring anything outside that range will result in something greater than 4.
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