- #1
TrickyDicky
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Is an injective endomorfism automatically bijective?
R136a1 said:If you are talking about linear maps between finite-dimensional spaces, then yes. This is known as the Fredholm alternative: http://en.wikipedia.org/wiki/Fredholm_alternative
WWGD said:Doesn't this follow from rank-nullity theorem?
A linear application is a mathematical function that maps one or more input values to an output value using a linear relationship. This means that the output value can be calculated by multiplying the input values by a constant number and adding them together. In other words, the output value is a linear combination of the input values.
Linear applications can be found in many real-life situations, such as calculating the cost of a grocery bill based on the price per item and quantity purchased, determining the distance traveled based on speed and time, or predicting the growth of a population over time. They can also be used in engineering, economics, and other fields to model relationships between variables.
A problem involving a linear application will typically provide you with a set of input values and ask you to calculate an output value using a linear relationship. You can also look for key words such as "directly proportional" or "constant rate" in the problem statement, which indicate a linear relationship.
A linear application is a function that uses a linear relationship to map input values to output values. A linear equation, on the other hand, is a mathematical statement that equates two expressions using only variables to the first power and constants. In other words, a linear application is a type of function, while a linear equation is a type of algebraic statement.
To solve a linear application problem, you will need to first identify the input values and the linear relationship between them and the output value. Then, you can use the formula for a linear function (y = mx + b) to plug in the input values and solve for the output value. It is also important to check your answer by plugging it back into the original problem and making sure it makes sense in the given context.