自考13175线性代数(工)全套考点精讲
2026-09-04 10:18:43 0 举报自考13175线性代数(工)全套考点精讲
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第一章 行列式【选择填空,8‑10分】
1.1 二阶、三阶行列式
✅公式
二阶:<span class="equation-text" contenteditable="false" data-index="0" data-equation="\begin{vmatrix}a_{11}&a_{12}\\a_{21}&a_{22}\end{vmatrix}=a_{11}a_{22}-a_{12}a_{21}"><span></span><span></span></span>
三阶:对角线法则,主对角线相加,副对角线相减
📌2024‑04真题
题目 <span class="equation-text" contenteditable="false" data-index="0" data-equation="D=\begin{vmatrix}2 & -1\\3 & 4\end{vmatrix}"><span></span><span></span></span>
分步解析
1)代入二阶公式
2)<span class="equation-text" contenteditable="false" data-index="0" data-equation="2\times 4 - (-1)\times 3=8+3=11"><span></span><span></span></span>
3)答案11
⚠️易错:负号极易漏写
1.2 n阶行列式定义(了解)
所有不同行不同列元素乘积,添加逆序数符号
考情:几乎不直接出题
1.3 行列式七大性质【高频考点】
性质1:转置行列式<span class="equation-text" contenteditable="false" data-index="0" data-equation="D^T=D"><span></span><span></span></span>
性质2:两行互换,行列式变号
性质3:某一行全部乘数k,行列式×k
性质4:两行完全相同,<span class="equation-text" contenteditable="false" data-index="0" data-equation="D=0"><span></span><span></span></span>
性质5:两行成比例,<span class="equation-text" contenteditable="false" data-index="0" data-equation="D=0"><span></span><span></span></span>
性质6:分行相加<span class="equation-text" contenteditable="false" data-index="0" data-equation="\begin{vmatrix}a+a'&b\\c+c'&d\end{vmatrix}=\begin{vmatrix}a&b\\c&d\end{vmatrix}+\begin{vmatrix}a'&b\\c'&d\end{vmatrix}"><span></span><span></span></span>
性质7:某行k倍加至另外一行,行列式不变【化简最常用】
📌2025‑10填空真题
题干:交换行列式两行,则行列式____
答案:变号
1.4 代数余子式与展开定理【重难点】
余子式<span class="equation-text" contenteditable="false" data-index="0" data-equation="M_{ij}"><span></span><span></span></span>:划去第i行j列剩下行列式正数
代数余子式<span class="equation-text" contenteditable="false" data-index="0" data-equation="A_{ij}=(-1)^{i+j}M_{ij}"><span></span><span></span></span>
按行展开 <span class="equation-text" contenteditable="false" data-index="0" data-equation="D=\sum_{j=1}^n a_{ij}A_{ij}"><span></span><span></span></span>
重要推论:本行元素 × 别的行代数余子式 = 0
📌示例真题
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\begin{vmatrix}1&3\\2&4\end{vmatrix}"><span></span><span></span></span>,求<span class="equation-text" contenteditable="false" data-index="0" data-equation="A_{12}"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="A_{12}=(-1)^{1+2}\cdot M_{12}= -2"><span></span><span></span></span>
❌坑:忘记<span class="equation-text" contenteditable="false" data-index="0" data-equation="(-1)^{i+j}"><span></span><span></span></span>符号
1.5 特殊行列式
上三角、下三角行列式 =主对角线元素乘积
📌2025‑10真题
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\begin{vmatrix}1&2&3\\0&2&1\\0&0&5\end{vmatrix}=1\times2\times5=10"><span></span><span></span></span>
1.6 克莱姆法则(仅方阵)
<span class="equation-text" contenteditable="false" data-index="0" data-equation="Ax=b"><span></span><span></span></span>,<span class="equation-text" contenteditable="false" data-index="0" data-equation="|A|\neq0"><span></span><span></span></span>,唯一解 <span class="equation-text" contenteditable="false" data-index="0" data-equation="x_j=\dfrac{D_j}{D}"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="D_j"><span></span><span></span></span>:D第j列替换常数项b
考情:二阶、三阶简单计算
第二章 矩阵【分值最高14‑16分】
2.1矩阵基础运算
加减:同型矩阵对应元素相加减
数乘:<span class="equation-text" contenteditable="false" data-index="0" data-equation="kA"><span></span><span></span></span>全部元素乘以k
矩阵乘法<span class="equation-text" contenteditable="false" data-index="0" data-equation="C=AB"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="(AB)_{ij}=\sum_{k=1}^n a_{ik}b_{kj}"><span></span><span></span></span>
A列数 = B行数
<span class="equation-text" contenteditable="false" data-index="0" data-equation="AB\neq BA"><span></span><span></span></span>,顺序不可交换
<span class="equation-text" contenteditable="false" data-index="0" data-equation="AB=0"><span></span><span></span></span>,推不出<span class="equation-text" contenteditable="false" data-index="0" data-equation="A=0"><span></span><span></span></span>或者<span class="equation-text" contenteditable="false" data-index="0" data-equation="B=0"><span></span><span></span></span>
📌2024计算题
<span class="equation-text" contenteditable="false" data-index="0" data-equation="A=\begin{pmatrix}1&1\\0&1\end{pmatrix},B=\begin{pmatrix}1&0\\2&1\end{pmatrix}"><span></span><span></span></span>
AB、BA分别计算,可以验证不等
2.2矩阵转置
<span class="equation-text" contenteditable="false" data-index="0" data-equation="(A^T)^T=A"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="(A+B)^T=A^T+B^T"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="(kA)^T=kA^T"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\boldsymbol{(AB)^T=B^T A^T}"><span></span><span></span></span>【逆序!高频考点】
2.3逆矩阵(重中之重)
定义:方阵<span class="equation-text" contenteditable="false" data-index="0" data-equation="AB=BA=E"><span></span><span></span></span>,<span class="equation-text" contenteditable="false" data-index="0" data-equation="B=A^{-1}"><span></span><span></span></span>
可逆充要条件:<span class="equation-text" contenteditable="false" data-index="0" data-equation="|A|\neq0"><span></span><span></span></span>(非奇异矩阵)
核心公式 <span class="equation-text" contenteditable="false" data-index="0" data-equation="A^{-1}=\dfrac{1}{|A|}A^*"><span></span><span></span></span>
二阶矩阵速记<span class="equation-text" contenteditable="false" data-index="0" data-equation="\begin{pmatrix}a&b\\c&d\end{pmatrix}^{-1}=\dfrac{1}{ad-bc}\begin{pmatrix}d&-b\\-c&a\end{pmatrix}"><span></span><span></span></span>
口诀:主对角线互换,副对角线变负号,整体除以行列式
运算性质
<span class="equation-text" contenteditable="false" data-index="0" data-equation="(kA)^{-1}=\dfrac1k A^{-1}"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\boldsymbol{(AB)^{-1}=B^{-1}A^{-1}}"><span></span><span></span></span>逆序
📌2024‑04真题
<span class="equation-text" contenteditable="false" data-index="0" data-equation="A=\begin{pmatrix}1&2\\0&1\end{pmatrix}"><span></span><span></span></span>求逆矩阵
<span class="equation-text" contenteditable="false" data-index="0" data-equation="|A|=1"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="A^{-1}=\begin{pmatrix}1&-2\\0&1\end{pmatrix}"><span></span><span></span></span>
2.4伴随矩阵<span class="equation-text" contenteditable="false" data-index="0" data-equation="A^*"><span></span><span></span></span>【近两年高频】
<span class="equation-text" contenteditable="false" data-index="0" data-equation="A^*"><span></span><span></span></span>构造规则:<span class="equation-text" contenteditable="false" data-index="0" data-equation="A_{ij}"><span></span><span></span></span>代数余子式<b>按转置摆放</b>
万能恒等式 <span class="equation-text" contenteditable="false" data-index="0" data-equation="\boldsymbol{AA^*=A^*A=|A|E}"><span></span><span></span></span>
衍生公式
<span class="equation-text" contenteditable="false" data-index="0" data-equation="(A^*)^{-1}=\dfrac{1}{|A|}A"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="|A^*|=|A|^{n-1}"><span></span><span></span></span>
📌2025‑10填空
二阶方阵<span class="equation-text" contenteditable="false" data-index="0" data-equation="|A|=3"><span></span><span></span></span>,<span class="equation-text" contenteditable="false" data-index="0" data-equation="AA^*=3E"><span></span><span></span></span>
2.5矩阵初等变换、初等矩阵
三类行变换:换行、数乘某行、倍加
初等矩阵左乘→行变换;右乘→列变换
求逆矩阵通用方法:<span class="equation-text" contenteditable="false" data-index="0" data-equation="(A\mid E) \xrightarrow{行变换}(E\mid A^{-1})"><span></span><span></span></span>
2.6矩阵的秩 r(A)
定义:最高阶非零子式阶数
性质
<span class="equation-text" contenteditable="false" data-index="0" data-equation="r(A^T)=r(A)"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="r(kA)=r(A),k\neq0"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="r(AB)\le \min(r(A),r(B))"><span></span><span></span></span>
n阶可逆矩阵 <span class="equation-text" contenteditable="false" data-index="0" data-equation="r(A)=n"><span></span><span></span></span>,满秩
✅求秩标准步骤
1)仅初等行变换化为行阶梯矩阵
2)非零行行数就是秩
⚠️禁止使用列变换求秩
第三章 n维向量空间【大题必考10分】
3.1向量线性运算
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\alpha=(a_1,a_2,a_3)^T"><span></span><span></span></span>列向量,真题绝大多数用列向量
3.2线性表示
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\beta"><span></span><span></span></span>可由<span class="equation-text" contenteditable="false" data-index="0" data-equation="\alpha_1,\alpha_2…\alpha_s"><span></span><span></span></span>线性表示<span class="equation-text" contenteditable="false" data-index="0" data-equation="\iff r(\alpha_1,\alpha_2…,\alpha_s)=r(\alpha_1,\dots,\alpha_s,\beta)"><span></span><span></span></span>
解题步骤
1)全部向量作为<b>矩阵的列</b>
2)增列β,初等行变换
3)对比两边秩
3.3线性相关、无关【选择高频】
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\alpha_1…\alpha_s"><span></span><span></span></span>线性相关<span class="equation-text" contenteditable="false" data-index="0" data-equation="\iff r(\alpha_1,\dots,\alpha_s)<s"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\alpha_1…\alpha_s"><span></span><span></span></span>线性无关<span class="equation-text" contenteditable="false" data-index="0" data-equation="\iff r(\alpha_1,\dots,\alpha_s)=s"><span></span><span></span></span>
n个n维向量:行列式<span class="equation-text" contenteditable="false" data-index="0" data-equation="|\alpha_1,\dots,\alpha_n|\neq0 \iff"><span></span><span></span></span>无关
推论:向量个数>维数,向量组必然线性相关
📌2025‑10选择题
3个三维向量构成矩阵行列式不等于0,则线性无关
3.4极大线性无关组【计算大题】
定义:数量最多的线性无关子组
✅标准解题流程
1)每一个向量竖着摆放,作为矩阵<b>列</b>
2)只做初等行变换,化为行阶梯型
3)阶梯中非零行首个非零元素所在<b>列编号</b>,对应原向量就是一组极大无关组
📌2024‑04真题大题
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\alpha_1=(1,1,1)^T,\alpha_2=(1,2,0)^T,\alpha_3=(2,3,1)^T"><span></span><span></span></span>
第一步构造矩阵 <span class="equation-text" contenteditable="false" data-index="0" data-equation="A=(\alpha_1,\alpha_2,\alpha_3)"><span></span><span></span></span>
行变换化简
主元1列、2列,极大无关组<span class="equation-text" contenteditable="false" data-index="0" data-equation="\alpha_1,\alpha_2"><span></span><span></span></span>
❌致命错误:向量横向摆放成行
3.5向量组的秩
极大无关组所含向量个数,等于矩阵秩
第四章 线性方程组【必考大题12分,含参数】
4.1齐次方程组 <span class="equation-text" contenteditable="false" data-index="0" data-equation="A_{m\times n}\boldsymbol x=\boldsymbol 0"><span></span><span></span></span>
永远至少存在零解
<span class="equation-text" contenteditable="false" data-index="0" data-equation="r(A)=n"><span></span><span></span></span>,仅有零解
<span class="equation-text" contenteditable="false" data-index="0" data-equation="r(A)<n"><span></span><span></span></span>,有无穷多非零解
基础解系所含向量数目:<span class="equation-text" contenteditable="false" data-index="0" data-equation="\boldsymbol{s=n-r(A)}"><span></span><span></span></span>(超级高频填空)
4.2非齐次方程组 <span class="equation-text" contenteditable="false" data-index="0" data-equation="A\boldsymbol x=\boldsymbol b"><span></span><span></span></span>,<span class="equation-text" contenteditable="false" data-index="0" data-equation="\overline{A}=(A\mid b)"><span></span><span></span></span>增广矩阵
<span class="equation-text" contenteditable="false" data-index="0" data-equation="r(A)\neq r(\overline{A})"><span></span><span></span></span>,无解
<span class="equation-text" contenteditable="false" data-index="0" data-equation="r(A)=r(\overline{A})=n"><span></span><span></span></span>,唯一解
<span class="equation-text" contenteditable="false" data-index="0" data-equation="r(A)=r(\overline{A})<n"><span></span><span></span></span>,无穷多组解
✅含参数题型万能步骤【2024‑04原题模型】
1)写出完整增广矩阵<span class="equation-text" contenteditable="false" data-index="0" data-equation="\overline{A}"><span></span><span></span></span>
2)初等行变换化成行阶梯(<b>只用行变换</b>)
3)观察参数取何数值造成秩不等、相等
4)分情况讨论无解、唯一解、无穷解
4.3通解构造
非齐次通解 = <b>对应的齐次通解 + 非齐次1个特解</b>
自由未知量赋值惯例:依次取 0,1 整数
📌2025‑10计算题
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\begin{cases}x_1+x_2=1\\2x_1-x_2=2\end{cases}"><span></span><span></span></span>
增广矩阵行变换,唯一解 <span class="equation-text" contenteditable="false" data-index="0" data-equation="x_1=1,x_2=0"><span></span><span></span></span>
⚠️扣分点
做列变换,直接判错
无穷解没有写出通解形式
第五章 矩阵的特征值与特征向量【计算大题8‑10分】
5.1定义
<span class="equation-text" contenteditable="false" data-index="0" data-equation="A\boldsymbol x=\lambda \boldsymbol x,\boldsymbol x\neq \boldsymbol 0"><span></span><span></span></span>
λ特征值,非零向量x对应特征向量
5.2求特征值标准流程
1)特征多项式 <span class="equation-text" contenteditable="false" data-index="0" data-equation="|\lambda E-A|=0"><span></span><span></span></span>
2)展开行列式得到一元n次方程
3)解方程,得到全部特征值<span class="equation-text" contenteditable="false" data-index="0" data-equation="\lambda"><span></span><span></span></span>
📌2024‑04真题
<span class="equation-text" contenteditable="false" data-index="0" data-equation="A=\begin{pmatrix}2&1\\0&3\end{pmatrix}"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="|\lambda E-A|=\begin{vmatrix}\lambda-2&-1\\0&\lambda-3\end{vmatrix}=(\lambda-2)(\lambda-3)=0"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\lambda_1=2,\lambda_2=3"><span></span><span></span></span>
5.3特征向量求解步骤
1)将<span class="equation-text" contenteditable="false" data-index="0" data-equation="\lambda"><span></span><span></span></span>代入<span class="equation-text" contenteditable="false" data-index="0" data-equation="(\lambda E-A)\boldsymbol x=\boldsymbol 0"><span></span><span></span></span>齐次方程组
2)初等行变换化简系数矩阵
3)求基础解系,基础解系非零解即为特征向量
注意:特征向量不能取零向量
5.4常用性质(填空必考)
迹:主对角线之和<span class="equation-text" contenteditable="false" data-index="0" data-equation="\sum a_{ii}=\lambda_1+\lambda_2+…+\lambda_n"><span></span><span></span></span>
行列式 <span class="equation-text" contenteditable="false" data-index="0" data-equation="|A|=\lambda_1\lambda_2…\lambda_n"><span></span><span></span></span>
📌2025‑10真题:二阶矩阵特征值1,-2,则<span class="equation-text" contenteditable="false" data-index="0" data-equation="|A|=-2"><span></span><span></span></span>
不同特征值对应的特征向量一定线性无关
5.5矩阵相似 <span class="equation-text" contenteditable="false" data-index="0" data-equation="B=P^{-1}AP"><span></span><span></span></span>
相似则特征值完全一样;特征值相同不一定相似
5.6矩阵可对角化条件
n阶方阵具备n个线性无关特征向量
推论:n个互不相等特征值,则一定对角化
5.7实对称矩阵(选填)
一定可以对角化;特征值全实数;不同特征值特征向量正交
近两年很少考正交矩阵P
第六章 实二次型【配方法为主6‑8分】
6.1二次型矩阵
<span class="equation-text" contenteditable="false" data-index="0" data-equation="f=\boldsymbol x^TA\boldsymbol x"><span></span><span></span></span>,A必须是<b>对称矩阵A^T=A</b>
规则:平方项系数放对角线;交叉项<span class="equation-text" contenteditable="false" data-index="0" data-equation="x_i x_j"><span></span><span></span></span>系数平分给<span class="equation-text" contenteditable="false" data-index="0" data-equation="a_{ij},a_{ji}"><span></span><span></span></span>
📌2025‑10填空
<span class="equation-text" contenteditable="false" data-index="0" data-equation="f(x_1,x_2)=x_1^2-3x_1x_2+x_2^2"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="A=\begin{pmatrix}1&-\dfrac32\\-\dfrac32&1\end{pmatrix}"><span></span><span></span></span>
6.2配方法(考试唯一重点!正交变换几乎不考)
情形①:含有平方项
依次对<span class="equation-text" contenteditable="false" data-index="0" data-equation="x_1,x_2"><span></span><span></span></span>配方
📌2024‑04真题
<span class="equation-text" contenteditable="false" data-index="0" data-equation="f=x_1^2+2x_1x_2+2x_2^2"><span></span><span></span></span>
<span class="equation-text" contenteditable="false" data-index="0" data-equation="f=(x_1+x_2)^2+x_2^2=y_1^2+y_2^2"><span></span><span></span></span>
情形②:<b>没有平方项(高频考点)</b>
先可逆线性变换制造平方项
<span class="equation-text" contenteditable="false" data-index="0" data-equation="\begin{cases}x_1=y_1+y_2\\x_2=y_1-y_2\\x_3=y_3\end{cases}"><span></span><span></span></span>
变换之后得到平方项,再配方
6.3标准形、规范形(了解)
6.4正定二次型【填空】
判定:全部顺序主子式>0
顺序主子式:左上角逐阶取子行列式
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