No.
For example, y = 7 is monotonic. It may be a degenerate case, but that does not disallow it. It is not a bijection unless the domain and range are sets with cardinality 1.
Even a function that is strictly monotonic need not be a bijection. For example, y = sqrt(x) is strictly monotonic [increasing] for all non-negative x. But it is not a bijection from the set of real numbers to the set of real numbers because it is not defined for negative x.
No. For example, consider the discontinuous bijection that increases linearly from [0,0] to [1,1], decreases linearly from (1,2) to (2,1), increases linearly from [2,2] to [3,3], decreases linearly from (3,4) to (4,3), etc.
A bijection is a one-to-one correspondence in set theory - a function which is both a surjection and an injection.
A function is a relation whose mapping is a bijection.
A function is a relation whose mapping is a bijection.
No, they can only be jump continuous.
No. For example, consider the discontinuous bijection that increases linearly from [0,0] to [1,1], decreases linearly from (1,2) to (2,1), increases linearly from [2,2] to [3,3], decreases linearly from (3,4) to (4,3), etc.
Inverse of a function exists only if it is a Bijection. Bijection=Injection(one to one)+surjection (onto) function.
A bijection is a one-to-one correspondence in set theory - a function which is both a surjection and an injection.
A bijection is a one-to-one correspondence in set theory - a function which is both a surjection and an injection.
A function is a relation whose mapping is a bijection.
A monotonic transformation does not change the overall shape of a function's graph, but it can stretch or compress the graph horizontally or vertically.
A monotonic transformation is a mathematical function that preserves the order of values in a dataset. It does not change the relationship between variables in a mathematical function, but it can change the scale or shape of the function.
It is a bijection [one-to-one and onto].
A function is a relation whose mapping is a bijection.
A monotonic, or one-to-one function.
Monotonic transformations do not change the relationship between variables in a mathematical function. They only change the scale or shape of the function without altering the overall pattern of the relationship.
No, they can only be jump continuous.