PS3.3 (NO MATLAB) Recall that a square nxn matrix is invertible if and only if it is row equivalent to the identity matrix In. (a) Using language from Section 3.1, list three facts that must be true about the columns of an invertible matrix A. (b) If T: R² R2 is the linear transformation that rotates the plane counter-clockwise /2 radians about the origin, the standard matrix A for T is invertible. Give a geometric description for how A-1 would transform the plane. That is, explain in words what A-1 should do "visually" to the plane.
PS3.3 (NO MATLAB) Recall that a square nxn matrix is invertible if and only if it is row equivalent to the identity matrix In. (a) Using language from Section 3.1, list three facts that must be true about the columns of an invertible matrix A. (b) If T: R² R2 is the linear transformation that rotates the plane counter-clockwise /2 radians about the origin, the standard matrix A for T is invertible. Give a geometric description for how A-1 would transform the plane. That is, explain in words what A-1 should do "visually" to the plane.
PS3.3 (NO MATLAB) Recall that a square nxn matrix is invertible if and only if it is row equivalent to the identity matrix In. (a) Using language from Section 3.1, list three facts that must be true about the columns of an invertible matrix A. (b) If T: R² R2 is the linear transformation that rotates the plane counter-clockwise /2 radians about the origin, the standard matrix A for T is invertible. Give a geometric description for how A-1 would transform the plane. That is, explain in words what A-1 should do "visually" to the plane.
Linear algebra: please solve last 2 parts of question 3.3 correctly and handwritten
Branch of mathematics concerned with mathematical structures that are closed under operations like addition and scalar multiplication. It is the study of linear combinations, vector spaces, lines and planes, and some mappings that are used to perform linear transformations. Linear algebra also includes vectors, matrices, and linear functions. It has many applications from mathematical physics to modern algebra and coding theory.
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