Examples of using Linear transformation in English and their translations into Arabic
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Colloquial
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Political
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Ecclesiastic
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Ecclesiastic
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Computer
So this is equal to the transformation of x1 e1 plus the transformation of x2 e2 where this is just any linear transformation.
But you might say, OK, this is easier but you told me that a projection is a linear transformation.
That if we have our change of basis matrix, we have it's inverse, and we have just our standard basis linear transformation matrix, we're able to get this.
What I want to show you in this video, and you could view it either as a change of basis or as a linear transformation, is that when you multiply this orthogonal matrix times some vector, it preserves-- let me write this down-- lengths and angles.
And we could represent this linear transformation as being, we could say T2 applied to some vector x is equal to some transformation vector S2, times our vector x.
A linear transformation of x, of our vector x, is the same thing as taking the linear transformation of this whole thing-- let me do it in another color-- is equal to the linear transformation of-- actually,
But if I were take the linear transformation of x, because that's the notation we're used to, that's the same thing as taking a linear transformation of this thing.
In the last video we said that the inverse matrix, so if this is Tnaught, Tnaught inverse could be represented-- it's also a linear transformation-- It can be represented by some inverse matrix that we just called A inverse times x.
If this transformation matrix can be represented as a matrix vector product-- and it should be; it's a linear transformation-- then any v that satisfies the transformation of-- I will say transformation of v is equal to lambda v, which also would be-- you know, the transformation of[? v?] would just be A times v.
And I just showed that an arbitrary linear transformation of x can be rewritten as a product of a matrix where I'm taking that same linear transformation of each of our standard basis vectors,
We know that if we have some linear transformation, that the transformation from x to y-- and these are just sets, sets of vectors, and T is a linear transformation from y to z-- that we can construct a composition of s with T that is a linear transformation from x all the way to z.
Linear transformation.
Whether it's a linear transformation.
It's actually a linear transformation.
So this is not a linear transformation.
So you see this was just a linear transformation.
There's two conditions for it to be a linear transformation.
Let's see if this is always going to be a linear transformation.
Since all three properties of linear transformations are not met, this is not a linear transformation.