1. Start: The number 9 starts on a horizontal line, from left to right, and then tilts slightly upward.
2. The first stroke: the next stroke is a horizontal fold. The starting point of this horizontal fold is slightly to the left at the end of the previous step, then it slopes downward until it intersects with the horizontal line, and then turns back to the right at a position slightly above the horizontal line.
3. the second stroke: followed by a horizontal stroke, the starting point of this horizontal stroke is slightly to the right of the end of the previous horizontal stroke, and then it extends horizontally to the right, about twice the length of the previous horizontal stroke.
4. The third stroke: The last stroke is a vertical hook. Its starting point is slightly to the left at the end of the previous horizontal line, then it inclines downward, bends into an arc, and then hooks to the right to intersect with the horizontal line.
5. radian and hook direction: the radian of the vertical hook should echo the radian of the previous stroke, and the hook direction should be opposite to the starting point of the first stroke.
The importance of learning mathematics;
1. Mathematics is the foundation of science. Whether it is physics, chemistry, biology or engineering, mathematics is a key tool to accurately study and describe these disciplines. For example, in physics, Newton's laws of gravity and motion are expressed in mathematical form. Molecular structure and chemical reaction rate in chemistry, gene sequence and biostatistics in biology, structural design in engineering, thermodynamics and so on all need mathematical support.
2. Mathematics plays an important role in computer science. Computer programming, data structure and algorithm design are all closely related to mathematics. For example, in data structure, how to search and sort data effectively involves various mathematical theories and technologies, such as binary tree sorting and hash table. In algorithm design, how to optimize the complexity and efficiency of the algorithm needs to master mathematical knowledge such as graph theory and linear algebra.
3. Mathematics is widely used in economy, finance, statistics and other fields. For example, in economics, supply and demand curve, elasticity theory and economic growth model all need mathematics to describe and explain. In the financial field, asset pricing, risk management and portfolio theory all need mathematical knowledge. In statistics, data distribution, hypothesis testing and regression analysis all need mathematical knowledge and methods.