Proof of ##g(A_1, A_2, \cdots A_n) = c g (I_1, \cdots I_n)##.

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Homework Statement
Let's say ##g## is function satisfying the following three axioms, where ##A_i## is any n-tuple vector and ##I_k## is the third unit vector,

1. ##g(A_1, \cdots tA_k, \cdots A_n) = t g(A_1, \cdots A_k, \cdots A_n)## for all ##t \in R## and any ##A_k##

2. ## g(A_1, \cdots A_k + C, \cdots A_n) = g(A_1\cdots A_k, \cdots A_n )+ g(A_1, \cdots, C ,\cdots A_n)## for any n-tuple vector C and any ##A_k##

3. ##g(A_1, \cdots A_n)=0 ## if for some i and j ##A_i =A_j##
Relevant Equations
In fact, those ##A_k## are rows of ##n \times n## matrix.
How can we prove that
$$
g(A_1, \cdots A_n)= c g(I_1 \cdots I_n)$$?

From the those three axioms we can prove a property of g that if any of two vectors in domain exchange their respective places the sign of output of g will be changed.

Now, do we have to argue that any matrix can be changed into identity matrix by Gauss-Jordan elimination method?
 
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What are your thoughts? That 3 (being alternating) means that ##g## is fully anti-symmetric is a good start. What can you say about the As in terms of the Is?

Edit: The problem is also not very well defined. What is ##c## allowed to depend on? That two numbers differ through the multiplication of a different number is not a very restrictive statement.
 
Considering each ##A_i## as rows of n-square matrix.

Let’s say moving from the matrix A to the identity matrix I, by Gauss-Jordan Method, it takes n number of interchangement of rows and m scalars were mutliplied: ##c_1, c_2, \cdots c_m## altogether in reaching from A to I, neglecting the adding of one row to the multiple of another, we can conclude:

1. Moving from A to I, ##g(A_1, \cdots, A_n)## changed signs n times, and

2. Moving from A to I, ##g(A_1, \cdots, A_n)## got multiplied by m different numbers, they are ##c_1 \cdots c_m##.

Therefore,
$$
g(A_1 \cdots, A_n) = (-1)^n c_1 \cdots c_m g (I_1, \cdots I_n)$$

I feel like I was not very rigorous.
 
This reminds me of the properties defining the determinant, only multilinear map satisfying the conditions described in the OP. Iirc, it follows immediately by applying multilinearity .
 
I don't think the problem is very well stated. What is c? Is ## I_k ## really the 3rd unit vector for every k; that would make ## g(I_1, ..., I_n) = 0 ##. Also, please write ## , \ldots, ## instead of ## \cdots ## unless you really mean iterated multiplication.