The difference between Ethereum X3 matrix and X4 matrix
coupe
concept
BMW is excited for their X3. It has seized a piece of land that its competitors have never touched. Other all wheel drive models on the market are either too expensive, too large in body or too low in power. Therefore, there is no model on the market that can compete with the X3
in terms of appearance, the BMW X4 is inspired by the BMW 3 series, and the front light group connected with China open also appears on the front face. The tail shape keeps a high similarity with the new 3 series, and the side line is very similar to the X6
in terms of power, BMW X4 first launched 2.0T and 3.0T displacement, of which 2.0T has the difference of high and low power, the maximum horsepower is 184 HP and 245 HP respectively, and the maximum horsepower of 3.0T version is 306 HP
the X4 is integrated into the concept of xcoupeconcept
BMW is excited about their X3
it has seized a piece of land that has never been touched by its competitors
other all wheel drive models on the market are either too expensive, or too large in body, or too low in power
therefore, there is no model that can compete with X3 in the market
The differences are as follows:
1, different operation results
matrix is a table, and the number of rows and columns can be different; The row and column expression is a number, and the number of rows must be equal to the number of columns. Only square matrix can define its determinant, but not rectangular matrix
the equality of two matrices means that the corresponding elements are equal; The equality of two determinants does not require that the corresponding elements are equal, and even the order can be different, as long as the result of the sum of operation algebras is the same
2, different operation methods
the addition of two matrices is to add the corresponding elements; The addition of two determinants is to add the operation results. Under special circumstances (such as the same row or column), only the elements of one row (or column) can be added, and the other elements can be written as they are
3, different properties
number multiplication matrix refers to the number multiplied by each element of the matrix; The number multiplied by determinant can only be used to multiply a certain row or column of the determinant, so can the common factor
4. The results are different after transformation; After elementary transformation, the value of determinant may change: the sign of transformation should be changed, and the difference multiple of transformation should be changed; The elimination transformation does not change
extended data:
determinant properties
1. If a row (or column) in determinant A is multiplied by the same number k, the result is equal to Ka
2. Determinant A is equal to its transposed determinant at (the ith row of at, the ith column of a)
If n-order determinant| α A row (or column) in ij; Determinant rule| α Ij | is the sum of two determinants. The i-th row (or column) of the two determinants is B1, B2,..., BN; The other is с 1， с 2,…, с n The elements on the other rows (or columns) and| α Ij | is exactly the same If two rows (or columns) in determinant a are interchanged, the result is equal to - A. ⑤ If the elements in a row (or column) of determinant a are multiplied by the same number and added to the corresponding elements in another row (or column), the result is still areference source: network determinant
reference source: network matrix
AX = B, x = a ^ - 1B
XA = B has two solutions
1. Transpose both sides to a ^ TX ^ t = B ^ t
Transform (a ^ t, B ^ t) to (E, (a ^ t) ^ - 1B ^ t) = (E, x ^ t)
2. Transform the matrix of upper and lower blocks
a
b
to
e
Ba ^ - 1
the lower sub block is the solution.
of course, it is OK to find a ^ - 1 first, But I'll multiply the matrix one more time
Basic information of BMW X3< br />
because the matrix is an expression and the determinant is a numerical value
of course, it's not any value at all.
the value in the second red circle should ensure that two linearly independent solutions are obtained
determinant is a special formula, and the last matrix that can work out the result is an arrangement of many numbers in a certain order