Local injectivity for a vector-valued function means that for every point in the domain of the function, there exists a neighborhood around that point such that the function maps distinct points in that neighborhood to distinct points in the range. In other words, the function does not map different points in the domain to the same point in the range within that neighborhood. This property is important for ensuring that the function has a well-defined inverse in that neighborhood, which is useful for solving equations and understanding the behavior of the function in a local region. **

Injectivity is important in mathematics and other fields because it ensures that each input has a unique output. This property is crucial in functions and mappings, as it allows for unambiguous relationships between elements. In practical applications, injectivity helps prevent information loss and ambiguity, making it easier to analyze and interpret data. Additionally, injective functions are often easier to invert, which can be useful in solving equations and finding pre-images of elements. **

The injectivity of 3 refers to the property of the number 3 being a one-to-one function when used as an operation. In other words, when 3 is used as an operation on a set of numbers, each input will correspond to a unique output. For example, if we consider the operation of multiplying by 3, each input number will have a unique result, making 3 an injective operation. **

The injectivity of a mapping refers to the property of the mapping where each element in the domain maps to a unique element in the codomain. In other words, no two distinct elements in the domain map to the same element in the codomain. A mapping is said to be injective if and only if it preserves distinctness, meaning that if two elements in the domain are distinct, their images in the codomain are also distinct. This property is also known as "one-to-one" correspondence. **

Injectivity in mathematics is proven by showing that distinct elements in the domain map to distinct elements in the codomain. This can be done by assuming that two elements in the domain map to the same element in the codomain, and then showing that this assumption leads to a contradiction. Another approach is to show that the function has a left inverse, meaning that there exists another function that, when composed with the original function, yields the identity function on the domain. This demonstrates that distinct elements in the domain cannot map to the same element in the codomain, thus proving injectivity. **

The injectivity of compositions refers to the property of a composition of functions where if the composition of two functions is injective, then the outer function is injective. Similarly, the surjectivity of compositions refers to the property where if the composition of two functions is surjective, then the inner function is surjective. In other words, the injectivity and surjectivity of compositions are related to the properties of the individual functions within the composition. **

Injectivity, surjectivity, and bijectivity are important concepts in mathematics because they help us understand the relationship between different sets and functions. Injectivity ensures that each element in the domain maps to a unique element in the codomain, which is useful for preventing information loss in functions. Surjectivity guarantees that every element in the codomain is mapped to by at least one element in the domain, ensuring that no information is left out. Bijectivity combines these two properties, providing a one-to-one correspondence between elements in the domain and codomain, making it easier to establish relationships and solve problems in various mathematical contexts. **

There is no surjectivity here. Surjectivity means that every element in the codomain is mapped to by at least one element in the domain. In this case, there are elements in the codomain that are not being mapped to by any element in the domain, so the function is not surjective. **